Microwave remote sensing for agricultural drought monitoring: Recent developments and challenges
Agricultural droughts are extreme events which are often a result of interplays between
multiple hydro-meteorological processes. Therefore, assessing drought occurrence, extent …
multiple hydro-meteorological processes. Therefore, assessing drought occurrence, extent …
Soil moisture and sea surface salinity derived from satellite-borne sensors
The monitoring of soil moisture and sea surface salinity over the Earth has been profoundly
enhanced during the last thirteen years due to a new generation of satellite sensors. L-band …
enhanced during the last thirteen years due to a new generation of satellite sensors. L-band …
An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas
Recently, large efforts have been made to develop surface soil moisture (SSM) products
based on observations from passive microwave L-band satellites at the global scale …
based on observations from passive microwave L-band satellites at the global scale …
True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis
Quantifying the accuracy of the satellite-based soil moisture (SM) data is important for a
number of key applications, such as: combining satellite-based SM products for long-term …
number of key applications, such as: combining satellite-based SM products for long-term …
A multi-scale algorithm for the NISAR mission high-resolution soil moisture product
This study proposes a multi-scale soil moisture algorithm for the upcoming NASA-ISRO SAR
(NISAR) mission to estimate high-resolution (200 [m]) soil moisture (the water content of the …
(NISAR) mission to estimate high-resolution (200 [m]) soil moisture (the water content of the …
A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products
Estimating accurate surface soil moisture (SM) dynamics from space, and knowing the error
characteristics of these estimates, is of great importance for the application of satellite-based …
characteristics of these estimates, is of great importance for the application of satellite-based …
A new global C-band vegetation optical depth product from ASCAT: Description, evaluation, and inter-comparison
Active microwave measurements have the potential to estimate vegetation optical depth
(VOD), an indicator related to vegetation water content and biomass. The Advanced …
(VOD), an indicator related to vegetation water content and biomass. The Advanced …
[HTML][HTML] Unlocking the full potential of Sentinel-1 for flood detection in arid regions
Climate change has intensified flooding in arid and semi-arid regions, presenting a major
challenge for flood monitoring and map**. While satellites, particularly Synthetic Aperture …
challenge for flood monitoring and map**. While satellites, particularly Synthetic Aperture …
Urban-aware U-Net for large-scale urban flood map** using multitemporal Sentinel-1 intensity and interferometric coherence
Due to the complexity of backscattering mechanisms in built-up areas, the synthetic aperture
radar (SAR)-based map** of floodwater in urban areas remains challenging. Open areas …
radar (SAR)-based map** of floodwater in urban areas remains challenging. Open areas …
[HTML][HTML] Exploring Sentinel-1 backscatter time series over the Atacama Desert (Chile) for seasonal dynamics of surface soil moisture
Recent research indicates an inverse relation between Synthetic Aperture Radar (SAR)
signal and near-surface soil moisture (SM) over very dry sediments, arid to hyper-arid soils …
signal and near-surface soil moisture (SM) over very dry sediments, arid to hyper-arid soils …