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 …
Global monitoring of snow water equivalent using high frequency radar remote sensing
Seasonal snow cover is the largest single component of the cryosphere in areal extent,
covering an average of 46 million square km of Earth's surface (31% of the land area) each …
covering an average of 46 million square km of Earth's surface (31% of the land area) each …
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 …
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 …
High spatio-temporal resolution CYGNSS soil moisture estimates using artificial neural networks
This paper presents a learning-based, physics-aware soil moisture (SM) retrieval algorithm
for NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The goal of the …
for NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The goal of the …
Generating high-resolution daily soil moisture by using spatial downscaling techniques: A comparison of six machine learning algorithms
Y Liu, W Jing, Q Wang, X Xia - Advances in Water Resources, 2020 - Elsevier
Tremendous efforts have been made for obtaining surface soil moisture (SM) at high spatial
resolutions from microwave-based products via spatial downscaling. In recent years …
resolutions from microwave-based products via spatial downscaling. In recent years …
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
SH Wang, J Sun, P Phillips, G Zhao… - Journal of Real-Time …, 2018 - Springer
Image segmentation is an important application of polarimetric synthetic aperture radar. This
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli …
Theory of microwave remote sensing of vegetation effects, SoOp and rough soil surface backscattering
In this paper, we provide updates on our recent work on the theory of microwave remote
sensing for applications in remote sensing of soil moisture and snow water equivalent …
sensing for applications in remote sensing of soil moisture and snow water equivalent …
Validation of SMAP soil moisture at terrestrial National Ecological Observatory Network (NEON) sites show potential for soil moisture retrieval in forested areas
Soil moisture influences forest health, fire occurrence and extent, and insect and pathogen
impacts, creating a need for regular, globally extensive soil moisture measurements that can …
impacts, creating a need for regular, globally extensive soil moisture measurements that can …
1-km soil moisture retrieval using multi-temporal dual-channel SAR data from Sentinel-1 A/B satellites in a semi-arid watershed
Soil moisture is an important variable in agricultural and hydrological applications. Sentinel-
1 (A/B) satellite provides high-resolution (∼ 10 m) synthetic aperture radar data, and its high …
1 (A/B) satellite provides high-resolution (∼ 10 m) synthetic aperture radar data, and its high …