Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model
Y Bao, L Lin, S Wu, KAK Deng… - International journal of …, 2018 - Elsevier
In this study, is presented a new methodology for retrieving surface soil moisture (SSM)
under conditions of partial vegetation cover based on the synergy between Sentinel-1 …
under conditions of partial vegetation cover based on the synergy between Sentinel-1 …
A preliminary evaluation of the SMAP radiometer soil moisture product over United States and Europe using ground-based measurements
J Zeng, KS Chen, H Bi, Q Chen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The Soil Moisture Active Passive (SMAP) mission, which is the newest L-band satellite that
is specifically designed for soil moisture monitoring, was launched on January 31, 2015. A …
is specifically designed for soil moisture monitoring, was launched on January 31, 2015. A …
First assessment of Sentinel-1A data for surface soil moisture estimations using a coupled water cloud model and advanced integral equation model over the Tibetan …
The spatiotemporal distribution of soil moisture over the Tibetan Plateau is important for
understanding the regional water cycle and climate change. In this paper, the surface soil …
understanding the regional water cycle and climate change. In this paper, the surface soil …
Soil moisture retrieval using SAR backscattering ratio method during the crop growing season
Soil moisture content (SMC) is an indispensable basic element for crop growth and
development in agricultural production. Obtaining accurate information on SMC in real time …
development in agricultural production. Obtaining accurate information on SMC in real time …
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
The objective of this study is to develop a novel multi-level pre-processing framework and
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
apply it for multi-step (one and seven days ahead) daily forecasting of Surface soil moisture …
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 …
Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands
Synthetic aperture radar (SAR) data have significant potential for soil moisture monitoring
because of their high spatial resolution and independence from cloud coverage. However, it …
because of their high spatial resolution and independence from cloud coverage. However, it …
Model-driven estimation of closed and open shrublands live fuel moisture content
Live fuel moisture content (LFMC) is a crucial variable affecting the ignition potential of
shrublands. Different remote sensing-based models (either empirical or physical) have been …
shrublands. Different remote sensing-based models (either empirical or physical) have been …
Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing
The recent launch of the Sentinel-1 A and Sentinel-1B synthetic aperture radar (SAR)
satellite constellation has provided high-quality SAR data with fine spatial and temporal …
satellite constellation has provided high-quality SAR data with fine spatial and temporal …
Assessment of the dual polarimetric sentinel-1A data for forest fuel moisture content estimation
Fuel moisture content (FMC) is a crucial variable affecting fuel ignition and rate of fire
spread. Much work so far has focused on the usage of remote sensing data from multiple …
spread. Much work so far has focused on the usage of remote sensing data from multiple …