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Hatice Atalay, Adalet Dervisoglu and Ayse Filiz Sunar
The Mediterranean region experiences the annual destruction of thousands of hectares due to climatic conditions. This study examines forest fires in Türkiye?s Antalya region, a Mediterranean high-risk area, from 2000 to 2023, analyzing 26 fires that each...
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Guizhi Tian and Liming Zhu
Characterized by soil moisture content and plant growth, agricultural drought occurs when the soil moisture content is lower than the water requirement of plants. Microwave remote sensing observation has the advantages of all-weather application and sens...
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Shimelis Asfaw Wakigari and Robert Leconte
Soil moisture is an essential hydrological variable for a suite of hydrological applications. Its spatio-temporal variability can be estimated using satellite remote sensing (e.g., SMOS and SMAP) and in-situ measurements. However, both have their own str...
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Liming Zhu, Huifeng Wu, Min Li, Chaoyin Dou and A-Xing Zhu
Accurate irrigation water-use data are essential to agricultural water resources management and optimal allocation. The obscuration presented by ground cover in farmland and the subjectivity of irrigation-related decision-making processes mean that effec...
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Jia Chen, Fengmin Hu, Junjie Li, Yijia Xie, Wen Zhang, Changqing Huang and Lingkui Meng
The evaluation of satellite soil moisture is a big challenge owing to the large spatial mismatch between pixel-based satellite soil moisture products and point-based in situ measurements. Upscaling in situ measurements to obtain the ?true value? of soil ...
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Maria Kofidou and Alexandra Gemitzi
The present work aims to highlight the possibility of improving model performance by assimilating soil moisture information in the calibration and validation process. The Soil and Water Assessment Tool (SWAT) within QGIS, i.e., QSWAT, was used to simulat...
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Khaled Mohammed, Robert Leconte and Mélanie Trudel
Soil moisture modeling is necessary for many hydrometeorological and agricultural applications. One of the ways in which the modeling of soil moisture (SM) can be improved is by assimilating SM observations to update the model states. Remotely sensed SM ...
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Niloufar Beikahmadi, Antonio Francipane and Leonardo Valerio Noto
Accurate precipitation estimation remains a challenge, though it is fundamental for most hydrological analyses. In this regard, this study aims to achieve two objectives. Firstly, we evaluate the performance of two precipitation products from the Integra...
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Natthachet Tangdamrongsub, Jianzhi Dong and Peter Shellito
Multivariate data assimilation (DA) of satellite soil moisture (SM) and terrestrial water storage (TWS) observations has recently been used to improve SM and groundwater storage (GWS) simulations. Previous studies employed the ensemble Kalman approach in...
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Haoteng Zhao, Liping Di and Ziheng Sun
Irrigation is the primary consumer of freshwater by humans and accounts for over 70% of all annual water use. However, due to the shortage of open critical information in agriculture such as soil, precipitation, and crop status, farmers heavily rely on e...
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