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Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning
Remote SensingSoil moisture (SM) monitoring in farmland at a regional scale is crucial for precision irrigation management and ensuring food security. However, existing methods for SM estimation encounter significant challenges related to accuracy, generalizability ...
Shenglin Li +4 more
semanticscholar +1 more source
Soil moisture estimation with microwave remote sensing: a systematic review and meta-analysis
International Journal of Digital EarthMicrowave remote sensing emerged as a valuable technique for monitoring soil moisture (SM) due to the lower sensitivity to weather conditions and the ability to penetrate vegetation and surface layers.
Nuo Xu +4 more
semanticscholar +1 more source
An Overview of Machine-Learning Methods for Soil Moisture Estimation
WaterSoil moisture (SM) is crucial for sustainable applications in agriculture, meteorology, and hydrology. While direct measurement provides superior accuracy, it is unfeasible when applied over extensive geographical areas because of its costly and time ...
M. Taheri +3 more
semanticscholar +1 more source
Journal of Korea Water Resources Association, 2016
본 연구에서는 수원 성균관대학교 내 Frequency Domain Reflectometry (FDR) 토양수분 측정 장비 및 COSMIC-ray 중성자 측정 장비를 통한 토양수분 지점 관측 사이트를 확립하였다. 또한 양질의 토양수분 데이터 확보를 위해 연구지역 내 토질실험, 토질별 FDR 토양수분 데이터 및 COSMIC-ray 중성자 개수의 시계열 분석, 관측한 토양수분 데이터와 위성 기반 토양수분 데이터와의 비교분석을 실시하였다. 2014년도부터 6개 지점에서 표층으로부터 5 cm에서 40 cm까지 총 24개의 FDR 센서를 5~10 cm 깊이별로 설치하여 토양수분 데이터를 측정하였다.
Hyunglok Kim +3 more
openaire +1 more source
본 연구에서는 수원 성균관대학교 내 Frequency Domain Reflectometry (FDR) 토양수분 측정 장비 및 COSMIC-ray 중성자 측정 장비를 통한 토양수분 지점 관측 사이트를 확립하였다. 또한 양질의 토양수분 데이터 확보를 위해 연구지역 내 토질실험, 토질별 FDR 토양수분 데이터 및 COSMIC-ray 중성자 개수의 시계열 분석, 관측한 토양수분 데이터와 위성 기반 토양수분 데이터와의 비교분석을 실시하였다. 2014년도부터 6개 지점에서 표층으로부터 5 cm에서 40 cm까지 총 24개의 FDR 센서를 5~10 cm 깊이별로 설치하여 토양수분 데이터를 측정하였다.
Hyunglok Kim +3 more
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing
Since agricultural drought plays a leading role in restricting agricultural productivity, accurate forecasting is crucial for agricultural management.
Zhenhua Xiong +8 more
semanticscholar +1 more source
Since agricultural drought plays a leading role in restricting agricultural productivity, accurate forecasting is crucial for agricultural management.
Zhenhua Xiong +8 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Satellite-based retrieval of forest soil moisture (SM) and vegetation optical depth (VOD) are two long-standing unresolved issues hindering advances in hydrology, ecology, and Earth system science. A key obstacle is the lack of adequate reference data in
A. Colliander +21 more
semanticscholar +1 more source
Satellite-based retrieval of forest soil moisture (SM) and vegetation optical depth (VOD) are two long-standing unresolved issues hindering advances in hydrology, ecology, and Earth system science. A key obstacle is the lack of adequate reference data in
A. Colliander +21 more
semanticscholar +1 more source
Machine‐learning based spatiotemporal prediction of soil moisture in a grassland hillslope
Vadose Zone JournalSoil moisture (SM) plays a significant role in the earth's water balance and in optimizing land management practices. However, SM at the field scale is difficult to map from available point measurements due to the inherent heterogeneity of soil and ...
T. Houben +4 more
semanticscholar +1 more source
Earth Observation (EO) data for high resolution soil moisture (SM) monitoring
2023A wealth of soil-vegetation-atmosphere (SVA) variables, such as soil moisture, leaf area index, land surface temperature, precipitation, ... are globally monitored by satellite observations funded by national and international Space Agencies. They have proven useful for improving understanding of the global water and energy cycles and strengthening ...
openaire +2 more sources
Freshwater Science, 2014
AbstractBiogeochemical studies done to elucidate sediment–water transfer of solutes and benthic reaction rates in limnic and marine ecosystems often rely on the study of porewater distribution and temporal dynamics of target solutes and subsequent diagenetic modeling.
J. S. P. Ibánhez, C. Rocha
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AbstractBiogeochemical studies done to elucidate sediment–water transfer of solutes and benthic reaction rates in limnic and marine ecosystems often rely on the study of porewater distribution and temporal dynamics of target solutes and subsequent diagenetic modeling.
J. S. P. Ibánhez, C. Rocha
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Scientific Reports
Soil moisture (SM) is a critical variable influencing various environmental processes, but traditional microwave sensors often lack the spatial resolution needed for local-scale studies. This study develops a novel stacking ensemble learning framework to
Mohammad Sadegh Tahmouresi +2 more
semanticscholar +1 more source
Soil moisture (SM) is a critical variable influencing various environmental processes, but traditional microwave sensors often lack the spatial resolution needed for local-scale studies. This study develops a novel stacking ensemble learning framework to
Mohammad Sadegh Tahmouresi +2 more
semanticscholar +1 more source