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[HTML][HTML] Reviewing the potential of Sentinel-2 in assessing the drought
This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing
drought. Research findings, including the IPCC reports, highlighted the increasing trend in …
drought. Research findings, including the IPCC reports, highlighted the increasing trend in …
Achieving agricultural sustainability through soybean production in Iran: Potential and challenges
The utilization of soybean as a key oil crop to enhance sustainable agriculture has garnered
significant attention from researchers. Its lower water requirements compared to rice, along …
significant attention from researchers. Its lower water requirements compared to rice, along …
[HTML][HTML] Soil moisture prediction from remote sensing images coupled with climate, soil texture and topography via deep learning
Soil moisture (SM) is an important biophysical parameter by which to evaluate water
resource potential, especially for agricultural activities under the pressure of global warming …
resource potential, especially for agricultural activities under the pressure of global warming …
Soil moisture retrieval over croplands using dual-pol L-band GRD SAR data
Vegetation cover significantly influences the hydrometeorological processes of land
surfaces. The heterogeneity of vegetation cover makes these processes more complex and …
surfaces. The heterogeneity of vegetation cover makes these processes more complex and …
Combined Sentinel-1A with Sentinel-2A to estimate soil moisture in farmland
Y Liu, J Qian, H Yue - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
In this article, seven filter algorithms were compared. The Lee sigma method was more
suitable for estimating soil moisture (SM) than the other filtering methods under different land …
suitable for estimating soil moisture (SM) than the other filtering methods under different land …
[HTML][HTML] Retrieval of high-resolution soil moisture through combination of Sentinel-1 and Sentinel-2 data
Estimating soil moisture based on synthetic aperture radar (SAR) data remains challenging
due to the influences of vegetation and surface roughness. Here we present an algorithm …
due to the influences of vegetation and surface roughness. Here we present an algorithm …
Ensemble surface soil moisture estimates at farm-scale combining satellite-based optical-thermal-microwave remote sensing observations
Remote sensing presents great potential for soil moisture map**, although a lack of high-
resolution, all-season suitable data and model-based complications hinders continuous …
resolution, all-season suitable data and model-based complications hinders continuous …
[HTML][HTML] Comparative analysis of Landsat-8, Sentinel-2, and GF-1 data for retrieving soil moisture over wheat farmlands
Q Wang, J Li, T **, X Chang, Y Zhu, Y Li, J Sun, D Li - Remote sensing, 2020 - mdpi.com
Soil moisture is an important variable in ecological, hydrological, and meteorological
studies. An effective method for improving the accuracy of soil moisture retrieval is the …
studies. An effective method for improving the accuracy of soil moisture retrieval is the …