Article
Environmental Sciences
Mohamed Hakim Kharrou, Vincent Simonneaux, Salah Er-Raki, Michel Le Page, Said Khabba, Abdelghani Chehbouni
Summary: This study successfully estimated crop evapotranspiration and irrigation water requirements in wheat fields and olive orchards in the Haouz plain using a remote sensing-based approach combined with the FAO-56 model. The results showed significant spatio-temporal variability in irrigation demands and supplies, likely due to insufficient irrigation supply or farmers' management practices. The findings demonstrate the potential of using remote sensing-based models for monitoring irrigation water usage for efficient and sustainable water resource management.
Article
Forestry
Ying Ding, Huihui Feng, Bin Zou
Summary: This study summarizes the impact of land use and cover change (LUCC) on hydrological processes. Remote sensing technology provides continuous spatial data on land cover and hydrological variables. The effects of LUCC on hydrological processes can be evaluated using correlation analysis, multiple regression methods, experimental watershed approaches, and trajectory-based approaches. However, quantitatively separating the actual components of the influence of LUCC is challenging due to the complexity of geographical systems.
Article
Environmental Sciences
Dayang Wang, Dagang Wang, Chongxun Mo
Summary: The study demonstrates that the bias correction approach can improve global land evapotranspiration simulations, with effective adjustment to overestimations and varying effectiveness for underestimations based on the ET regime, showing more effective correction in areas with abundant precipitation compared to areas with scarce precipitation. The use of satellite-based ET products benefits hydrological simulations in land surface models globally.
Article
Environmental Sciences
Saihong Lu, Junjie Xuan, Tong Zhang, Xueer Bai, Fei Tian, Samuel Ortega-Farias
Summary: Due to the proliferation of precision agriculture, the influence of shadow pixels obtained from remote sensing technology on the estimation of evapotranspiration (ET) and its components cannot be ignored. This study conducted field observations and used remote sensing sensors to detect shadow pixels and quantify their implications on ET estimation. The results showed that the shadow detection process significantly improved the reliable assessment of ET and its components, and the use of multispectral correction further improved the accuracy of ET estimation. The study also revealed the spatiotemporal patterns of ET in a vineyard system.
Article
Environmental Sciences
Lei Jiang, Yuting Yang, Songhao Shang
Summary: This study assessed the water-use efficiency (WUE) of maize in a representative irrigation district in Northwest China using remote sensing techniques. The results demonstrated the usefulness and validity of remote sensing information in mapping regional crop WUE, providing important insights for efficient use of agricultural water.
Article
Geosciences, Multidisciplinary
Madeleine Pascolini-Campbell, Joshua B. Fisher, John T. Reager
Summary: Accurate measurement of evapotranspiration (ET) over large scales using remote sensing is crucial for effective water resource management, but challenging in complex agricultural landscapes. This study highlights the importance of irrigation in ET estimation and demonstrates the synergistic benefits of combining GRACE-FO and ECOSTRESS for improving remote sensing of agricultural water use.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Green & Sustainable Science & Technology
Lianlian Pan, Yiyang Zhao, Tingju Zhu
Summary: Urban green space has increased significantly in China due to rapid urbanization, but its irrigation water use has been under-researched. This study used a new model to estimate the irrigation water requirement of urban green space in 286 cities in China. The estimated annual average irrigation water requirement was 8.7 billion m(3), accounting for over 20% of residential water consumption in cities where data was available. This study provides insights for green space irrigation and urban water management in the context of rapid urbanization and sustainable water management.
Article
Agronomy
Mitchell S. Maguire, Christopher M. U. Neale, Wayne E. Woldt, Derek M. Heeren
Summary: This study utilized remotely-sensed images and the SETMI model to investigate variable rate irrigation management of maize and soybean fields. Compared to a uniform irrigation approach, the SETMI irrigation treatments reduced irrigation while achieving higher crop yield and water productivity.
AGRICULTURAL WATER MANAGEMENT
(2022)
Editorial Material
Environmental Sciences
Yongqiang Zhang, Dongryeol Ryu, Donghai Zheng
Summary: Remote sensing geophysical datasets are being produced rapidly to monitor various aspects of the Earth system. Using these datasets to understand hydrological processes in different climates and vegetation systems is a challenge with research opportunities. The special issue focuses on topics like evapotranspiration estimation, rainfall monitoring, flood simulations, and monitoring ecohydrological processes using remote sensing techniques.
Article
Green & Sustainable Science & Technology
Liang Zhai, Xianghui Gu, Yajing Feng, Dongqing Wu, Tengbo Wang
Summary: This study evaluated the water resource consumption of winter wheat and found that the winter wheat fallow policy can effectively reduce evapotranspiration, contributing to the sustainable exploitation of water resources.
Article
Agronomy
Jamal Elfarkh, Vincent Simonneaux, Lionel Jarlan, Jamal Ezzahar, Gilles Boulet, Adnane Chakir, Salah Er-Raki
Summary: This study quantifies actual crop evapotranspiration over a semi-arid region in Morocco using four models driven by high-resolution remote sensing data. The performance of these models varied depending on the seasons, water stress conditions, and vegetation development. Comparing the simulated results with actual measurements, SAMIR and METRIC-GEE models showed better agreement with observations, while SPARSE and SW models had some deviations.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Plant Sciences
Rodrigo Filev Maia, Carlos Ballester Lurbe, John Hornbuckle
Summary: There is a growing interest in using the Internet of Things (IoT) in agriculture to acquire data for more efficient farm management. This study analyzed sensor data to identify the relationship between soil matric potential and crop evapotranspiration in cotton fields. Machine learning models were used to accurately estimate soil moisture from satellite data. The findings have promising applications in irrigation-decision systems.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Kayson M. Shurtz, Emily Dicataldo, Robert B. Sowby, Gustavious P. Williams
Summary: By analyzing two urban irrigation systems in northern Utah, USA, we found that tiered water rates can reduce water usage, and plant health does not strictly increase with water application. Many water users go beyond the optimum point of watering, indicating potential for water conservation. Additionally, irrigation is not the sole determinant of plant health, and smaller irrigated areas are associated with higher water application rates.
Article
Environmental Sciences
Zheng Li, Shikun Sun, Jinfeng Zhao, Chong Li, Zihan Gao, Yali Yin, Yubao Wang, Pute Wu
Summary: Agriculture is the largest consumer of water resources globally. Accurate measurement of crop water footprint (CWF) is crucial for evaluating water use characteristics and guiding water management in agricultural production. This study developed an effective method to estimate regional maize CWF in China using global evapotranspiration products and assessed its accuracy against flux tower measurements. The results showed that remote sensing-based methods were more realistic than ETc-based methods in measuring CWF in arid and semi-arid regions.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Tam Nguyen, Bhumika Uniyal, Dang An Tran, Thi Bich Thuc Pham
Summary: Evaluating the spatial and temporal model performance of distributed hydrological models is necessary and can be done using remote sensing data. This study highlights the necessity of spatiotemporal and temporospatial model performance evaluations and presents a case study of an Indian catchment.
Article
Environmental Sciences
Joost Brombacher, Johannes Reiche, Roel Dijksma, Adriaan J. Tetiling
REMOTE SENSING OF ENVIRONMENT
(2020)
Review
Environmental Sciences
Christian Massari, Sara Modanesi, Jacopo Dari, Alexander Gruber, Gabrielle J. M. De Lannoy, Manuela Girotto, Pere Quintana-Segui, Michel Le Page, Lionel Jarlan, Mehrez Zribi, Nadia Ouaadi, Mariette Vreugdenhil, Luca Zappa, Wouter Dorigo, Wolfgang Wagner, Joost Brombacher, Henk Pelgrum, Pauline Jaquot, Vahid Freeman, Espen Volden, Diego Fernandez Prieto, Angelica Tarpanelli, Silvia Barbetta, Luca Brocca
Summary: Irrigation is a significant human intervention in the terrestrial water cycle, crucial for modeling irrigation water requirements and assessing the impact of irrigation on regional climate, river discharge, and groundwater depletion. This review explores existing technologies for irrigation mapping and quantification, highlighting current shortcomings and proposing guidelines for future satellite missions and observation strategies based on user requirements.
Article
Green & Sustainable Science & Technology
Rutger Willem Vervoort, Ignacio Fuentes, Joost Brombacher, Jelle Degen, Pedro Chambel-Leitao, Flavio Santos
Summary: The paper demonstrates how Copernicus data from the Sentinel satellite constellation can be utilized to quantify components of water balance in irrigated systems. It highlights differences in estimation methods and opportunities for quantifying crop water productivity at different spatial scales, while also noting uncertainties related to input data availability and reference validation data.
Article
Environmental Sciences
Alexander Strehz, Joost Brombacher, Jelle Degen, Thomas Einfalt
Summary: Satellite-based precipitation products or reanalysis model data are often the only available precipitation information, but their resolution is too coarse for many applications. Using soil moisture as a downscaling approach shows promise due to its connection to precipitation. This study explores the feasibility of using soil moisture derived from land surface temperature and finds that it cannot be used to downscale satellite-based precipitation data to a high resolution due to cloud cover interference. The Integrated Multi-satellitE Retrievals for GPM (IMERG) late data is identified as the best precipitation dataset for areas in Australia that require timely precipitation information.
Article
Agronomy
Jiaxin Sun, Yanli Yang, Peng Qi, Guangxin Zhang, Yao Wu
Summary: The optimal allocation of agricultural water and land resources is crucial for farmers' economic benefits, carbon sequestration, and water resource conservation. This study developed a novel water-carbon-economy coupling model and applied it to a real farm, demonstrating its effectiveness in achieving the optimal allocation of water and land resources. The model balances economic, environmental, and social benefits.
AGRICULTURAL WATER MANAGEMENT
(2024)
