Ground, proximal, and satellite remote sensing of soil moisture
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …
numerous Earth and environmental science applications that directly impact the global …
[HTML][HTML] Validation practices for satellite soil moisture retrievals: What are (the) errors?
This paper presents a community effort to develop good practice guidelines for the validation
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …
Validation of SMAP surface soil moisture products with core validation sites
Abstract The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core
validation sites as the primary methodology in assessing the soil moisture retrieval algorithm …
validation sites as the primary methodology in assessing the soil moisture retrieval algorithm …
Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive assessment using global ground-based observations
Comprehensive assessments on the reliability of remotely sensed soil moisture products are
undeniably essential for their advancement and application. With the establishment of …
undeniably essential for their advancement and application. With the establishment of …
Soil moisture experiment in the Luan River supporting new satellite mission opportunities
Abstract The Soil Moisture Experiment in the Luan River (SMELR) was conducted from 2017
to 2018 in the semi-arid Luan River watershed located in the North of China. One of the …
to 2018 in the semi-arid Luan River watershed located in the North of China. One of the …
Validation of soil moisture data products from the NASA SMAP mission
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP)
mission has been validating its soil moisture (SM) products since the start of data production …
mission has been validating its soil moisture (SM) products since the start of data production …
Radar remote sensing of agricultural canopies: A review
SC Steele-Dunne, H McNairn… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Observations from spaceborne radar contain considerable information about vegetation
dynamics. The ability to extract this information could lead to improved soil moisture …
dynamics. The ability to extract this information could lead to improved soil moisture …
PolSAR image classification using polarimetric-feature-driven deep convolutional neural network
SW Chen, CS Tao - IEEE Geoscience and Remote Sensing …, 2018 - ieeexplore.ieee.org
Polarimetric synthetic aperture radar (PolSAR) image classification is an important
application. Advanced deep learning techniques represented by deep convolutional neural …
application. Advanced deep learning techniques represented by deep convolutional neural …
Estimation of soil moisture from optical and thermal remote sensing: A review
D Zhang, G Zhou - Sensors, 2016 - mdpi.com
As an important parameter in recent and numerous environmental studies, soil moisture
(SM) influences the exchange of water and energy at the interface between the land surface …
(SM) influences the exchange of water and energy at the interface between the land surface …
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 …