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Satellite remote sensing of global land surface temperature: Definition, methods, products, and applications
Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …
Spatial downscaling of satellite-based soil moisture products using machine learning techniques: A review
Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes.
Although it is highly variable, both spatially and temporally, there is limited data availability …
Although it is highly variable, both spatially and temporally, there is limited data availability …
A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution
Global soil moisture estimates from current satellite missions are suffering from inherent
discontinuous observations and coarse spatial resolution, which limit applications especially …
discontinuous observations and coarse spatial resolution, which limit applications especially …
Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau
Abstract The Soil Moisture Active Passive (SMAP) satellite can no longer directly deliver
high-resolution (9 km) soil moisture products with the failure of the onboard L-band radar …
high-resolution (9 km) soil moisture products with the failure of the onboard L-band radar …
Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method
Soil moisture plays a critical role in improving the weather and climate forecast and
understanding terrestrial ecosystem processes. It is a key hydrologic variable in agricultural …
understanding terrestrial ecosystem processes. It is a key hydrologic variable in agricultural …
A practical method for reducing terrain effect on land surface temperature using random forest regression
Land surface temperature (LST) plays a key role in connecting land surface energy and
water exchanges with near-surface atmosphere. However, the spatial distribution of LST …
water exchanges with near-surface atmosphere. However, the spatial distribution of LST …
A global 1‐km downscaled SMAP soil moisture product based on thermal inertia theory
Microwave remote sensing technology has been applied to produce soil moisture (SM)
retrievals on a global scale for various studies and applications. However, due to the …
retrievals on a global scale for various studies and applications. However, due to the …
Downscaling SMAP soil moisture using a wide & deep learning method over the Continental United States
Soil moisture (SM) plays a critical role in drought monitoring, agricultural management, flood
forecasting, and other practical applications. However, the relatively coarse spatial …
forecasting, and other practical applications. However, the relatively coarse spatial …
A spatial downscaling method for SMAP soil moisture through visible and shortwave-infrared remote sensing data
F Hu, Z Wei, W Zhang, D Dorjee, L Meng - Journal of Hydrology, 2020 - Elsevier
Soil moisture (SM) plays an indispensable role in many practical applications, such as
drought monitoring, hydrologic applications and agricultural management. Passive …
drought monitoring, hydrologic applications and agricultural management. Passive …
Comprehensive analysis of alternative downscaled soil moisture products
Recent advances in L-band passive microwave remote sensing provide an unprecedented
opportunity to monitor soil moisture at~ 40 km spatial resolution around the globe …
opportunity to monitor soil moisture at~ 40 km spatial resolution around the globe …