Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Oct 2019
Research article |
| 23 Oct 2019
| 23 Oct 2019
Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana
Melanie K. Vanderhoof
CORRESPONDING AUTHOR
Geosciences and Environmental Change Science
Center, US Geological Survey, P.O. Box 25046, DFC, MS980, Denver, CO 80225, USA
Jay R. Christensen
National Exposure Research Laboratory, Office of Research and
Development, US Environmental Protection Agency, 26 W. Martin Luther King Dr., MS-642, Cincinnati, OH 45268, USA
Laurie C. Alexander
National Center for Environmental Assessment, Office of Research and
Development, US Environmental Protection Agency, 1200 Pennsylvania
Ave NW (8623-P), Washington, DC 20460, USA
Related authors
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
Short summary
Short summary
The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
Short summary
Short summary
Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Charles R. Lane, Ellen D'Amico, Jay R. Christensen, Heather E. Golden, Qiusheng Wu, and Adnan Rajib
Earth Syst. Sci. Data, 15, 2927–2955, https://doi.org/10.5194/essd-15-2927-2023, https://doi.org/10.5194/essd-15-2927-2023, 2023
Short summary
Short summary
Non-floodplain wetlands (NFWs) – wetlands located outside floodplains – confer watershed-scale resilience to hydrological, biogeochemical, and biotic disturbances. Although they are frequently unmapped, we identified ~ 33 million NFWs covering > 16 × 10 km2 across the globe. NFWs constitute the majority of the world's wetlands (53 %). Despite their small size (median 0.039 km2), these imperiled systems have an outsized impact on watershed functions and sustainability and require protection.
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, https://doi.org/10.5194/essd-12-3229-2020, 2020
Short summary
Short summary
The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Michael L. Wine, Heather E. Golden, Jay R. Christensen, Charles R. Lane, and Oleg Makhnin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-423, https://doi.org/10.5194/hess-2020-423, 2020
Preprint withdrawn
Short summary
Short summary
Mirroring a global water quality crisis, nitrogen concentrations in the Upper Mississippi River basin, USA regularly exceed levels considered safe for human consumption and aquatic exposure, particularly following fertilization in the spring. Counterfactual simulations suggest that restoring the historic distribution of wetlands would substantially reduce nitrogen concentrations, particularly when they are most elevated, in the spring. Results point to a tradeoff between food and water security.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
Short summary
Short summary
Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
The Wetland Intrinsic Potential tool: Mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Satellite observations reveal 13 years of reservoir filling strategies, operating rules, and hydrological alterations in the Upper Mekong River basin
Satellite soil moisture data assimilation for improved operational continental water balance prediction
Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach
Multi-constellation GNSS interferometric reflectometry with mass-market sensors as a solution for soil moisture monitoring
Can we trust remote sensing evapotranspiration products over Africa?
Developing GIS-based water poverty and rainwater harvesting suitability maps for domestic use in the Dead Sea region (West Bank, Palestine)
Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
A conceptual model of organochlorine fate from a combined analysis of spatial and mid- to long-term trends of surface and ground water contamination in tropical areas (FWI)
Spatio-temporal assessment of annual water balance models for upper Ganga Basin
Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin
Wetlands inform how climate extremes influence surface water expansion and contraction
Participatory flood vulnerability assessment: a multi-criteria approach
Monitoring small reservoirs' storage with satellite remote sensing in inaccessible areas
Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images
The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets
A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval
Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
Downstream ecosystem responses to middle reach regulation of river discharge in the Heihe River Basin, China
Combining satellite observations to develop a global soil moisture product for near-real-time applications
Supplemental irrigation potential and impact on downstream flow of Karkheh River basin in Iran
Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes
Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data
Spatial evapotranspiration, rainfall and land use data in water accounting – Part 2: Reliability of water acounting results for policy decisions in the Awash Basin
Combining high-resolution satellite images and altimetry to estimate the volume of small lakes
Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications
A new stream and nested catchment framework for Australia
GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage
An original interpretation of the wet edge of the surface temperature–albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico
Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day–night MODIS observations
Regional effects of vegetation restoration on water yield across the Loess Plateau, China
Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks
Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series
Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia
Extension of the Hapke bidirectional reflectance model to retrieve soil water content
Estimating river discharge from earth observation measurements of river surface hydraulic variables
Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops
Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data
Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation
Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa
Effective roughness modelling as a tool for soil moisture retrieval from C- and L-band SAR
Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region
Identification and mapping of soil erosion areas in the Blue Nile, Eastern Sudan using multispectral ASTER and MODIS satellite data and the SRTM elevation model
Meghan Halabisky, Dan Miller, Anthony J. Stewart, Daniel Lorigan, Tate Brasel, and L. Monika Moskal
EGUsphere, https://doi.org/10.5194/egusphere-2022-665, https://doi.org/10.5194/egusphere-2022-665, 2022
Short summary
Short summary
Accurate wetland inventories are critical to monitor and protect wetlands. However, in many areas a large proportion of wetlands are unmapped because they are hard to detect in aerial and satellite imagery. We developed a machine learning approach using spatially mapped variables of wetland indicators (i.e., vegetation, hydrology, soils) to predict wetland probability across a landscape. Our tool provides a flexible approach that can be adapted to diverse landscapes to improve wetland detection.
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022, https://doi.org/10.5194/hess-26-4537-2022, 2022
Short summary
Short summary
A novel approach for evaluating individual and combined impacts of drought and salinity in real-life settings is proposed using Sentinel-2. We found that crop responses to drought and salinity differ between growth stages. Compared to salinity, crop growth is most strongly affected by drought stress and is, in general, further exacerbated when co-occurring with salinity stress. Our approach facilitates a way to monitor crop health under multiple stresses with potential large-scale applications.
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022, https://doi.org/10.5194/hess-26-2759-2022, 2022
Short summary
Short summary
New techniques to monitor the performance of irrigation schemes are vital to improve land and water productivity. We developed a framework and applied the remotely sensed FAO WaPOR dataset to assess uniformity, equity, adequacy, and land and water productivity at the Xinavane sugarcane estate, segmented by three irrigation methods. The developed performance assessment framework and the Python script in Jupyter Notebooks can aid in such irrigation performance analysis in other regions.
Dung Trung Vu, Thanh Duc Dang, Stefano Galelli, and Faisal Hossain
Hydrol. Earth Syst. Sci., 26, 2345–2364, https://doi.org/10.5194/hess-26-2345-2022, https://doi.org/10.5194/hess-26-2345-2022, 2022
Short summary
Short summary
The lack of data on how big dams are operated in the Upper Mekong, or Lancang, largely contributes to the ongoing controversy between China and the other Mekong countries. Here, we rely on satellite observations to reconstruct monthly storage time series for the 10 largest reservoirs in the Lancang. Our analysis shows how quickly reservoirs were filled in, what decisions were made during recent droughts, and how these decisions impacted downstream discharge.
Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
Hydrol. Earth Syst. Sci., 25, 4567–4584, https://doi.org/10.5194/hess-25-4567-2021, https://doi.org/10.5194/hess-25-4567-2021, 2021
Short summary
Short summary
Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020, https://doi.org/10.5194/hess-24-5251-2020, 2020
Short summary
Short summary
The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.
Angel Martín, Sara Ibáñez, Carlos Baixauli, Sara Blanc, and Ana Belén Anquela
Hydrol. Earth Syst. Sci., 24, 3573–3582, https://doi.org/10.5194/hess-24-3573-2020, https://doi.org/10.5194/hess-24-3573-2020, 2020
Short summary
Short summary
In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
Imeshi Weerasinghe, Wim Bastiaanssen, Marloes Mul, Li Jia, and Ann van Griensven
Hydrol. Earth Syst. Sci., 24, 1565–1586, https://doi.org/10.5194/hess-24-1565-2020, https://doi.org/10.5194/hess-24-1565-2020, 2020
Short summary
Short summary
Water resource allocation to various sectors requires an understanding of the hydrological cycle, where evapotranspiration (ET) is a key component. Satellite-derived products estimate ET but are hard to evaluate at large scales. This work presents an alternate evaluation methodology to point-scale observations in Africa. The paper enables users to select an ET product based on their performance regarding selected criteria using a ranking system. The highest ranked products are WaPOR and CMRSET.
Sameer M. Shadeed, Tariq G. Judeh, and Mohammad N. Almasri
Hydrol. Earth Syst. Sci., 23, 1581–1592, https://doi.org/10.5194/hess-23-1581-2019, https://doi.org/10.5194/hess-23-1581-2019, 2019
Short summary
Short summary
The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
Short summary
Short summary
This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
Short summary
Short summary
About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
Short summary
Short summary
We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Shray Pathak, Lalit Pal, Chandra Shekhar Prasad Ojha, Ana Mijic, and Rahul Dev Garg
Hydrol. Earth Syst. Sci., 22, 5357–5371, https://doi.org/10.5194/hess-22-5357-2018, https://doi.org/10.5194/hess-22-5357-2018, 2018
Short summary
Short summary
In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
Short summary
Short summary
Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
Short summary
Short summary
Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
Short summary
Short summary
This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
Short summary
Short summary
Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
Short summary
Short summary
In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
Short summary
Short summary
This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Zeinab Takbiri, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou
Hydrol. Earth Syst. Sci., 21, 2685–2700, https://doi.org/10.5194/hess-21-2685-2017, https://doi.org/10.5194/hess-21-2685-2017, 2017
Short summary
Short summary
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
Joseph G. Alfieri, Martha C. Anderson, William P. Kustas, and Carmelo Cammalleri
Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, https://doi.org/10.5194/hess-21-83-2017, 2017
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
Short summary
Short summary
The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
Short summary
Short summary
Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
Short summary
Short summary
Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
Short summary
Short summary
This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, and G. Dedieu
Hydrol. Earth Syst. Sci., 14, 1731–1744, https://doi.org/10.5194/hess-14-1731-2010, https://doi.org/10.5194/hess-14-1731-2010, 2010
M. El Haj Tahir, A. Kääb, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, https://doi.org/10.5194/hess-14-1167-2010, 2010
Cited articles
Ascione, A., Cinque, A., Miccadei, E., Villani, F., and Berti, C.: The
Plio-Quaternary uplift of the Apennine chain: New data from the analysis of
topography and river valleys in Central Italy, Geomorphology, 102, 105–118,
2008.
Bauder, J. W.: Early season alfalfa irrigation strategies, Montana State
University Extension, Bozeman, MT, available at:
http://waterquality.montana.edu/farm-ranch/irrigation/alfalfa/early.html,
last access: 19 November 2018.
Boutin, C. and Belanger, J. B.: Importance of riparian habitats to flora
conservation in farming landscapes of southern Quebec, Canada, Agr. Ecosyst.
Environ., 94, 73–87, 2003.
Capon, S. J., Chambers, L. E., Mac Nally, R., Naiman, R. J., Davies, P., Marshall, N., Pittock, J., Reid, M., Capon, T., Douglas, M., Catford, J., Baldwin, D. S., Stewardson, M., Roberts, J., Parsons, M., and Williams, S. E.: Riparian ecosystems in the 21st century: Hotspots for climate change adaptation?, Ecosystems, 16, 359–381, 2013.
Carrillo-Guerrero, Y., Glenn, E. P., and Hinojosa-Huerta, O.: Water budget for agricultural and aquatic ecosystems in the delta of the Colorado River,
Mexico: Implications for obtaining water for the environment, Ecol. Eng., 59, 41–51, 2013.
Catford, J. A., Morris, W. K., Vesk, P. A., Gippel, C. J., and Downes, B. J.:
Species and environmental characteristics point to flow regulation and drought as drivers of riparian plant invasion, Biodiv. Res., 20, 1084–1096, 2014.
Chatterjee, C., Kumar, R., Chakravorty, B., Lohani, A. K., and Kumar, S.:
Integrating remote sensing and GIS techniques with groundwater flow modeling
for assessment of waterlogged areas, Water Resour. Manage., 19, 539–554, 2005.
Chowdary, V. M., Vinu Chandran, R., Neeti, N., Bothale, R. V., Srivastava, Y. K., Ingle, P., Ramakrishnan, D., Dutta, D., Jeyaram, A., Sharma, J. R., and Singh, R.: Assessment of surface and sub-surface waterlogged areas in
irrigation command areas of Bihar state using remote sensing and GIS, Agr.
Water Manage., 95, 754–766, 2008.
Clancy, C. G.: Effects of dewatering on spawning by Yellowstone cutthroat
trout in tributaries of the Yellowstone River, Montana, Am. Fish. Soc. Symp., 4, 37–41, 1988.
Clifford, M.: Preserving stream flows in Montana through the Constitutional
Public Trust Doctrine: An underrated solution, Publ. Land Law Rev., 16,
117–135, 1995.
Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd Edn., Lawrence Erlbaum Associates, New York City, 1988.
Cooley, S., Smith, L., Stepan, L., and Mascaro, J.: Tracking dynamic northern
surface water changes with high-frequency Planet CubeSat imagery, Remote
Sens., 9, 1306, https://doi.org/10.3390/rs9121306, 2017.
Crétaux, J.-F., Biancamaria, S., Arsen, A., Bergé-Nguyen, M., and
Becker, M.: Global surveys of reservoirs and lakes from satellites and regional application to the Syrdarya river basin, Environ. Res. Lett., 10,
015002, https://doi.org/10.1088/1748-9326/10/1/015002, 2015.
Cross, W. F., LaFave, J., Leone, A., Lonsdale, W., Royem, A., Patton, T.,
and McGinnis, S.: Chapter 3, Water and climate change in Montana, in: the 2017 Montana Climate Assessment, edited by: Whitlock, C., Cross, W. F., Maxwell, B., Silverman, N. and Wade, A. A., Helena, MT, 77 pp., 2017.
Cunningham, S. C., Thomson, J. R., Mac Nally, R., Read, J., and Baker, P. J.:
Groundwater change forecasts widespread forest dieback across an extensive
floodplain system, Freshwater Biol., 56, 1494–1508, 2011.
Dragoni, W. and Sukhiga, B. S.: Climate change and groundwater: a short review, Geol. Soc. Lond. Spec. Publ., 288, 1–12, https://doi.org/10.1144/SP288.1, 2008.
Duffield, J., Neher, C. J., and Brown, T. C.: Recreation benefits of instream
flow: Application to Montana Big Hole and Bitterroot Rivers, Water Resour.
Res., 28, 2169–2181, 1992.
Falkenmark, M. and Lannerstad, M.: Consumptive water use to feed humanity –
curing a blind spot, Hydrol. Earth Syst. Sci., 9, 15–28, https://doi.org/10.5194/hess-9-15-2005, 2005.
Fritz, K. M., Schofield, K. A., Alexander, L. C., McManus, M. G., Golden, H.
E., Lane, C. R., Kepner, W. G., LeDuc, S. D., DeMeester, J. E., and Pollard, A. I.: Physical and chemical connectivity of streams and riparian wetlands to
downstream waters: a synthesis, J. Am. Water Resour. Assoc., 54, 323–345,
2018.
Fu, B. and Burgher, I.: Riparian vegetation NDVI dynamics and its relationship with climate, surface water and groundwater, J. Arid Environ., 113, 59–68, 2015.
Gao, B.: NDWI – a normalized difference water index for remote sensing of
vegetation liquid water from space, Remote Sens. Environ., 58, 257–266, 1996.
Gärtner, P., Förster, M., and Kleinschmit, B.: The benefit of
synthetically generated RapidEye and Landsat 8 data fusion time series for
riparian forest disturbance monitoring, Remote Sens. Environ., 177, 237–247,
2016.
Gesch, D., Oimoen, M., Greenlee, S., Nelson, C., Steuck, M., and Tyler, D.: The National Elevation Dataset, Photogramm. Eng. Remote Sens., 68, 5–11, 2002.
Gilbert, R. O.: Statistical Methods for Environmental Pollution Monitoring,
Wiley, NY, 1987.
Goetz, S. J., Bunn, A. G., Fiske, G. J., and Houghton, R. A.: Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance, P. Natl. Acad. Sci. USA, 102,
13521–13525, 2005.
Goklany, I. M.: Comparing 20th century trends in U.S. and global agricultural water and land use, Water Int., 27, 321–329, 2002.
Goodwin, C. N., Hawkins, C. P., and Kershner J. L.: Riparian restoration in the western United States: overview and perspective, Restor. Ecol., 5, 4–14,
1997.
Gosnell, H., Haggerty, J. H., and Byorth, P. A.: Ranch ownership change and new approaches to water resource management in southwestern Montana:
implications for fisheries, J. Am. Water Resour. Assoc., 43, 990–1003, 2007.
Goudie, A. S.: Global warming and fluvial geomorphology, Geomorphology, 79,
384–394, 2006.
Grafton, R. Q., Williams, J., Perry, C. J., Molle, F., Ringler, C., Steduto,
P., Udall, B., Wheeler, S. A., Wang, Y., Garrick, D., and Allen, R. G.: The
paradox of irrigation efficiency, Science, 361, 748–750, 2018.
Gude, P. H., Hansen, A. J., Rasker, R., and Maxwell, B.: Rates and drivers of
rural residential development in the Greater Yellowstone, Landsc. Urban Plan., 77, 131–151, 2006.
Hackett, O. M., Visher, F. N., McMurtrey, R. G., and Steinhilber, W. L.:
Geology and ground water resources of the Gallatin Valley, Gallatin County,
Montana, US Geological Survey Water-Supply Paper 1482, United States Government Printing Office, Washington, D.C., 282 pp., 1960.
Hamdan, A. and Myint, S. W.: Biogeomorphic relationships and riparian
vegetation changes along altered ephemeral stream channels: Florence to Marana, Arizona, Prof. Geogr., 68, 26–38, 2015.
Hamed, K. H. and Rao, A. R.: A modified Mann–Kendall trend test for
autocorrelated data, J. Hydrol., 204, 182–196, 1998.
Hansen, A. J., Rasker, R., Maxwell, B., Rotella, J. J., Johnson, J. D.,
Parmenter, A. W., Langner, U., Cohen, W. B., Lawrence, R. L., and Kraska, P. V.: Ecological causes and consequences of demographic change in the new west,
Bioscience, 52, 151–162, 2002.
Hastie, T., Tibshirani, R., and Friedman, J.: The Elements of Statistical
Learning, Springer, New York, 2009.
Hausner, M. B., Huntington, J. L., Nash, C., Morton, C., McEvoy, D. J., Pilliod, D. S., Hegewisch, K. C., Daudert, B., Abatzoglou, J. T., and Grant, G.: Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application
http://climateengine.org/, Ecolog. Eng., 120, 432–440, 2018.
Henshaw, A. J., Gurnell, A. M., Bertoldi, W., and Drake, N. A.: An assessment of the degree to which Landsat TM data can support the assessment of fluvial
dynamics, as revealed by changes in vegetation extent and channel position,
along a large river, Geomorphology, 202, 74–85, 2013.
Homer, C., Dewitx, J., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston,
J., Herold, N., Wickham, J., and Megown, K.: Completion of the 2011 National
Land Cover Database for the conterminous United States – Representing a
decade of land cover change information, Photogram. Eng. Remote Sens., 81,
345–354, 2015.
Hughes, F. M. R., Colston, A., and Mountford, J. O.: Restoring riparian ecosystems: The challenge of accommodating variability and designing restoration trajectories, Ecol. Soc., 10, 1–22, 2005.
Huntington, J., McGwire, K., Morton, C., Snyder, K., Peterson, S., Erckson, T., Niswonger, R., Carroll, R., Smith, G., and Allen, R.: Assessing the role of climate and resource management on groundwater dependent ecosystem changes
in arid environments with the Landsat archive, Remote Sens. Environ., 185,
186–197, 2016.
Hurvich, C. M. and Tsai, C. L.: Regression and time series model selection in
small samples, Biometrika, 76, 297–307, 1989.
Isaak, D. J., Wollrab, S., Horan, D., and Chandler, G.: Climate change effects on stream and river temperatures across the northwest U.S. from 1980–2009 and implications for salmonid fishes, Climatic Change, 113, 499–524, 2012.
Jones, K. B., Edmonds, C. E., Slonecker, E. T., Wickham, J. D., Neale, A.
C., Wade, T. G., Riiters, K. H., and Kepner, W. G.: Detecting changes in riparian habitat conditions based on patterns of greenness change: A case study from the Upper San Pedro River Basin, USA, Ecol. Indic., 8, 89–99, 2008.
Jones, K. B., Slonecker, E. T., Nash, M. S., Neale, A. C., Wade, T. G., and
Hamann, S.: Riparian habitat changes across the continental United States (1972–2003) and potential implications for sustaining ecosystem services, Landsc. Ecol., 25, 1261–1275, 2010.
Kendall, M. G.: Rank Correlation Methods, Griffin, London, 1975.
Kendy, E. and Bredehoeft, J. D.: Transient effects of groundwater pumping and
surface-water irrigation returns on streamflow, Water Resour. Res., 42,
W08415, https://doi.org/10.1029/2005WR004792, 2006.
Kerkvliet, J., Nowell, C., and Lowe, S.: The economic value of the Greater
Yellowstone's Blue-Ribbon fishery, N. Am. J. Fish. Manage., 22, 418–424, 2002.
Klemas, V.: Remote sensing of riparian and wetland buffers: an overview,
J. Coast. Res., 30, 869–880, 2014.
Lees, A. C. and Peres, C. A.: Conservation value of remnant riparian forests
corridors of varying quality for amazonian birds and mammals, Conserv. Biol., 2, 439–449, 2008.
Leyk, S. and Uhl, J. H.: Historical built-up intensity layer series for the U.S. 1810–2015, Harvard Dataverse, V1, https://doi.org/10.7910/DVN/1WB9E4, 2018.
Liaw, A. and Wiener, M.: Breiman and Cutler's random forests for classification and regression, R package version 4.6-12, R Foundation for Statistical Computing, Vienna, Austria, 1–29, 2015.
Lowrance, R., Todd, R., Fail Jr., J., Hendrickson Jr., O., Leonard, R., and
Asmussen, L.: Riparian forests as nutrient filters in agricultural watersheds, Bioscience, 34, 374–377, 1984.
Macfarlane, W. W., Gilbert, J. T., Jensen, M. L., Gilbert, J. D., Hough-Snee, N., McHugh, P. A., Wheaton, J. M., and Bennett, S. N.: Riparian vegetation as an indicator of riparian condition: detecting departures from historic condition across the North American West, J. Environ. Manage., 202, 447–460, 2017.
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245–259,
1945.
Markstrom, S. L., Hay, L. E., and Clark, M. P.: Towards simplification of hydrologic modeling: identification of dominant processes, Hydrol. Earth Syst. Sci., 20, 4655–4671, https://doi.org/10.5194/hess-20-4655-2016, 2016.
Massmann, A., Gentine, P., and Lin, C.: When does vapor pressure deficit drive or reduce evapotranspiration?, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-553, in review, 2018.
McEvoy, J., Bathke, D. J., Burkardt, N., Cravens, A. E., Haigh, T., Hall, K.
R., Hayes, M. J., Jedd, T., Podebradska, M., and Wickham, E.: Ecological
drought: Accounting for the non-human impacts of water shortage in the Upper
Missouri Headwaters Basin, Montana, USA, Resources, 7, 1–17, 2018.
McFeeters, S. K.: The use of normalized difference water index (NDWI) in the
delineation of open water features, Internat, J. Remote Sens., 17, 1425–1432, 1996.
McFeeters, S. K.: Using the Normalized Difference Water Index within a geographic information system to detect swimming pools for mosquito abatement: a practical approach, Remote Sens., 5, 3544–3561, 2013.
McManus, K. M., Morton, D. C., Masek, J. G., Wang, D., Sexton, J. O., Nagol,
J. R., Ropars, P., and Boudreau, S.: Satellite-based evidence for shrub and
graminoid tundra expansion in northern Quebec from 1986 to 2010, Global
Change Biol., 18, 2313–2323, 2012.
Melton, M. A.: The geomorphic and paleoclimatic significance of alluvial
deposits in southern Arizona, J. Geol., 73, 1–38, 1965.
Montana DNRC – Montana Department of Natural Resources and Conservation: Upper Missouri Basin Water Plan 2014, Montana Department of Natural Resources and Conservation, Helena, MT, 219 pp., 2014.
Montana DNRC – Montana Department of Natural Resources and Conservation: Montana State Water Plan, Montana Department of Natural Resources and Conservation, Helena, MT, 64 pp., 2015.
Montana Drought Demonstration Partners: A Workplan for Drought Resilience in the Missouri Headwaters Basin: A National Demonstration Project, available at: http://dnrc.mt.gov/divisions/water/management/docs/surface-waterstudies/workplan_drought_resilience~missouri_headwaters.pdf (last access: 1 August 2019), 2015.
Murphy, M. A., Evans, J. S., and Storfer, A.: Quantifying Bufo boreas
connectivity in Yellowstone National Park with landscape genetics, Ecology,
91, 252–261, 2010.
Naiman, R. J., Décamps, H., and McClain, M. E. Riparia: ecology,
conservation and management of streamside communities, Academic Press, New York, 2005.
Nguyen, U., Glen, E. P., Nagler, P. L., and Scott, R. L.: Long-term decrease in satellite vegetation indices in response to environmental variables in an
iconic desert riparian ecosystem: The Upper San Pedro, Arizona, United States, Ecohydrology, 8, 610–625, 2015.
Nilsson, C. and Berggren, K.: Alterations of riparian ecosystems caused by
river regulation, Bioscience, 50, 783–792, 2000.
NOAA NCDC – National Climatic Data Center: Data Tools: 1981–2010 Normals, available at: http://www.ncdc.noaa.gov/cdo-web/datatools/normals (last access: 3 October 2018), 2014.
NSIDC – National Snow and Ice Data Center: All about snow, National Snow and
Ice Data Center, Boulder, CO, 2018.
Pederson, G. T., Gray, S. T., Woodhouse, C. A., Betancourt, J. L., Fagre, D.
B., Littell, J. S., Watson, E., Luckman, B. H., and Graumlich, L. J.: The
unusual nature of recent snowpack declines in the North American Cordillera,
Science, 333, 332–335, 2011.
Pederson, G. T., Betancourt, J. L., and McCabe, G. J.: Regional patterns and
proximal causes of the 60 recent snowpack decline in the Rocky Mountains, U.S., Geophys. Res. Lett., 40, 1811–1816, 2013.
Perry, C., Steduto, P., and Karejeh, F.: Does improved irrigation technology
save water? A review of the evidence, Food and Agriculture Organization of
the United Nations, Cairo, Egypt, 57 pp., 2017.
Peterson, E. E.: STARS: Spatial Tools for the Analysis of River Systems
version 2.0.6 – a tutorial, Queensland University of Technology, Brisbane,
Australia, 47 pp., 2017.
Peterson, J. M. and Ding, Y.: Economic adjustments to groundwater depletion in the high plains: Do water-saving irrigation systems save water?, Am. J.
Agric. Econ., 87, 147–159, 2005.
Pfeiffer, L. and Lin, C. Y. C.: Does efficient irrigation technology lead to
reduced groundwater extraction? Empirical evidence, J. Environ. Econ. Manage., 67, 189–208, 2014.
Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., and Prestagaard, K. L.: The natural flow regime, BioScience, 47, 769–784, 1997.
Poole, G. C. and Berman, C. H.: An ecological perspective on in-stream
temperature: Natural heat dynamics and mechanisms of human-caused thermal
degradation, Environ. Manage., 27, 787–802, 2001.
PRISM Climate Group, Oregon State University: PRISM Climate Data, available at: http://prism.oregonstate.edu, last access:
27 June 2018.
Richardson, D. M., Holmes, P. M., Esler, K. J., Galatowitsch, S. M., Stromberg, J. C., Kirkman, S. P., Pysek, P., and Hobbs, R. J.: Riparian
vegetation: Degradation, alien plant invasions, and restoration prospects,
Divers. Distrib., 13, 126–139, 2007.
Rood, S. B., Pan, J., Gill, K. M., Franks, C. G., Samuelson, G. M., and
Shepherd, A.: Declining summer flows of Rocky Mountain rivers: changing
seasonal hydrology and probable impacts on floodplain forests, J. Hydrol.,
349, 397–410, 2008.
Schaible, G.: Understanding irrigated agriculture, Statistic: Farm Practices & Management, US Department of Agriculture, Economic Research Service, Washington, D.C., USA, 6 pp., 2017.
Schaible, G. D. and Aillery, M. P.: Water conservation in irrigated
agriculture: Trends and challenges in the face of emerging demands, EIB-99,
US Department of Agriculture, Economic Research Service, Washington, D.C., USA, 2012.
Schofield, K. A., Alexander, L. C., Ridley, C. E., Vanderhoof, M. K., Fritz,
K. M., Autrey, B., DeMeester, J., Kepner, W. G., Lane, C. R., Leibowitz, S.,
and Pollard, A. I.: Biota connect aquatic habitats throughout freshwater
ecosystem mosaics, J. Am. Water Resour. Assoc., 54, 372–399, https://doi.org/10.1111/1752-1688.12634, 2018.
Shafroth, P. B., Stromberg, J. C., and Patten, D. T.: Riparian vegetation
response to altered disturbance and stress regimes, Ecol. Appl., 12, 107–123, 2002.
Singh, A.: Soil salinization and waterlogging: A threat to environment and
agricultural sustainability, Ecol. Indic., 57, 128–130, 2015.
Slagle, S. E.: Geohydrologic conditions and land use in the Gallatin Valley,
southwestern Montana, 1992–93, US Geological Survey Water-Resources
Investigations Report 95-4034, US Geological Survey, Washington, D.C., USA, p. 2, 1995.
Soil Survey Staff, Natural Resources Conservation Service, United States
Department of Agriculture, Soil Survey Geographic (SSURGO): Database for
Montana, available at: https://sdmdataaccess.sc.egov.usda.gov, last access: 25 June 2018.
Steduto, P., Hsiao, T. C., Fereres, E., and Raes, D.: Crop yield response to
water, Irrigation and Drainage Paper 66, Food and Agricultural Organization,
Rome, Italy, 505 pp., 2012.
Stromberg, J. C.: Restoration of riparian vegetation in the south-western
United States: Importance of flow regimes and fluvial dynamism, J. Arid
Environ., 49, 17–34, 2001.
Stromberg, J. C., Lite, S. J., Rychener, T. J., Levick, L. R., Dixon, M. D.,
and Watts, J. M.: Status of the riparian ecosystem in the Upper San Pedro River, Arizona: Application of an assessment model, Environ. Monit. Assess., 115, 145–173, 2006.
Sweeney, B. W., Bott, T. L., Jackson, J. K., Kaplan, L. A., Newbold, J. D.,
Standley, L. J, Horwitz, R. J., and Hession, W. C.: Riparian deforestation,
stream narrowing, and loss of stream ecosystem services, P. Natl. Acad. Sci. USA, 101, 14132–14137, 2004.
Theobald, D. M., Norman, J. B., Peterson, E., Ferraz, S., Wade, A., and
Sherburne, M. R.: Functional linkage of water basins and streams (FLoWS) v1
user's guide: ArcGIS tools for network-based analysis of freshwater ecosystems, Natural Resource Ecology Lab, Colorado State University, Fort
Collins, CO, 43 pp., 2006.
Tucker, C. J.: Red and photographic infrared linear combinations for
monitoring vegetation, Remote Sens. Environ., 8, 127–150, 1979.
USBR – US Bureau of Reclamation: Climate Change Analysis for the Missouri
River Basin, Technical Memorandum No. 86-68210-2012-03, US Bureau of
Reclamation, Washington, D.C., USA, 2012.
USDA – US Department of Agriculture: 1984 Farm and Ranch Irrigation Survey (2013), AG84-SR-1, US Department of Commerce, Bureau of the Census, Washington, D.C., USA, 1984.
USDA – US Department of Agriculture: Farm and Ranch Irrigation Survey (2013), Volume 3, Special Studies, Part 1, AC-12-SS-1, Washington, D.C., USA, 2014.
USDA – US Department of Agriculture: National Agricultural Statistics Service Cropland Data Layer, USDA-NASS, Washington, D.C., available at:
https://nassgeodata.gmu.edu/CropScape/, last access: 5 November 2018.
USGS – US Geological Society: U.S. Geological Survey, Water Resources of
the United States, ScienceBase Data Publication, Reston, VA, available at:
https://www.sciencebase.gov/catalog/item/57361cc8e4b0dae0d5df6d22
(last access: 22 November 2018), 1988.
Vanderhoof, M. K. and Burt, C.: Applying high-resolution imagery to evaluate
restoration-induced changes in stream condition, Missouri River Headwaters
Basin, Montana, Remote Sens., 10, 913, https://doi.org/10.3390/rs10060913, 2018.
Vanderhoof, M. K. and Lane, C. R.: The potential role of very high-resolution
imagery to characterize lake, wetland and stream systems across the Prairie
Pothole Region, United States, Int. J. Remote Sens., https://doi.org/10.1080/01431161.2019.1582112, in press, 2019.
Vanderhoof, M. K., Christensen, J. C., and Alexander, L. C.: Data release for the influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana, US Geological Survey data release, https://doi.org/10.5066/P976LZ2G, 2019.
Vande Kamp, K., Rigge, M., Troelstrup Jr., N. H., Smart, A. J., and Wylie, B.: Detecting channel riparian vegetation response to best-management-practices implementation in ephemeral streams with the use of Spot high-resolution visible imagery, Range. Ecol. Manage., 66, 63–70, 2013.
Van Sickle, J. and Johnson, C. B.: Parametric distance weighting of landscape
influence on streams, Landsc. Ecol., 23, 427–438, 2008.
Ver Hoef, J. M. and Peterson, E. E.: A moving average approach for spatial
statistical models of stream networks, J. Am. Stat. Assoc., 105, 6–18, 2012.
Vivoni, E., Bowman, R. S., Wychkoff, R. L., Jakubowski, R. T., and Richards, K. E.: Analysis of a monsoon flood event in an ephemeral tributary and its
downstream hydrologic effects, Water Resour. Res., 42, W03404, https://doi.org/10.1029/2005WR004036, 2006.
Ward, F. A. and Pulido-Velazquez, M.: Water conservation in irrigation can
increase water use, P. Natl. Acad. Sci. USA, 105, 18215–18220, 2008.
White, J. C., Wulder, M. A., Hermosilla, T., Coops, N. C., and Hobart, G. W.:
Nationwide annual characterization of 25 years of forest disturbance and
recovery for Canada using Landsat time series, Remote Sens. Environ., 194,
303–321, 2017.
Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty,
C. J., and Schumann, A. H.: Global irrigation water demand: variability and
uncertainties arising from agricultural and climate data sets, Geophys. Res.
Lett., 35, 1–5, 2008.
Yang, X., Zhao, S., Qin, X., Zhao, N., and Liang, L.: Mapping of urban surface water bodies from Sentinel-2 MSI imagery at 10 m resolution via NDWI-based image sharpening, Remote Sens., 9, 596, 2017.
Short summary
We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters...
