A review of remote sensing applications for water security: Quantity, quality, and extremes
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …
and climate change, it is imperative to assess the security of these resources. Over the past …
Advances in the quality of global soil moisture products: a review
Y Liu, Y Yang - Remote Sensing, 2022 - mdpi.com
Soil moisture is a crucial component of land–atmosphere interaction systems. It has a
decisive effect on evapotranspiration and photosynthesis, which then notably impacts the …
decisive effect on evapotranspiration and photosynthesis, which then notably impacts the …
Machine learning for predicting greenhouse gas emissions from agricultural soils
A Hamrani, A Akbarzadeh, CA Madramootoo - Science of The Total …, 2020 - Elsevier
Abstract Machine learning (ML) models are increasingly used to study complex
environmental phenomena with high variability in time and space. In this study, the potential …
environmental phenomena with high variability in time and space. In this study, the potential …
Version 4 of the SMAP level‐4 soil moisture algorithm and data product
Abstract The NASA Soil Moisture Active Passive (SMAP) mission Level‐4 Soil Moisture (L.
4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and …
4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and …
Soil moisture as an essential component for delineating and forecasting agricultural rather than meteorological drought
Drought is a recurring, complex, and extreme climatic phenomenon characterized by
subnormal precipitation for months to years triggering negative impacts on agriculture …
subnormal precipitation for months to years triggering negative impacts on agriculture …
[HTML][HTML] Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries
Agricultural drought is one of most damaging agricultural hazards worldwide that can bring
significant agricultural losses and water scarcity. The use of satellite images for monitoring …
significant agricultural losses and water scarcity. The use of satellite images for monitoring …
Mapping soil moisture with the OPtical TRApezoid Model (OPTRAM) based on long-term MODIS observations
Abstract The OPtical TRApezoid Model (OPTRAM) has recently been proposed for
estimation of soil moisture using only optical remote sensing data. The model relies on a …
estimation of soil moisture using only optical remote sensing data. The model relies on a …
A new modelling framework to assess changes in groundwater level
Abstract Study region The Southern African region consists of ten countries including,
Angola, Zambia, Malawi, Namibia, Botswana, Zimbabwe, Mozambique, South Africa …
Angola, Zambia, Malawi, Namibia, Botswana, Zimbabwe, Mozambique, South Africa …
Support vector machine and data assimilation framework for Groundwater Level Forecasting using GRACE satellite data
Groundwater (GW) is a vital resource for human consumption, agriculture, environmental
sustainability, and socio-economic development in different parts of the world. Besides, GW …
sustainability, and socio-economic development in different parts of the world. Besides, GW …
Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model
Soil moisture is a fundamental ecological component for climate and hydrological studies.
However, the distribution patterns of soil moisture are spatially heterogenous and influenced …
However, the distribution patterns of soil moisture are spatially heterogenous and influenced …