An advanced change detection method for time-series soil moisture retrieval from Sentinel-1
The feasibility of soil moisture retrieval from C-band Sentinel-1 data has been widely
acknowledged, with pre-operational 1-km products currently available at regional and/or …
acknowledged, with pre-operational 1-km products currently available at regional and/or …
Live fuel moisture content estimation from MODIS: A deep learning approach
Live fuel moisture content (LFMC) is an essential variable to model fire danger and
behaviour. This paper presents the first application of deep learning to LFMC estimation …
behaviour. This paper presents the first application of deep learning to LFMC estimation …
Soil moisture retrieval over agricultural fields from L-band multi-incidence and multitemporal PolSAR observations using polarimetric decomposition techniques
H Shi, L Zhao, J Yang, JM Lopez-Sanchez… - Remote Sensing of …, 2021 - Elsevier
Surface soil moisture (SM) retrieval over agricultural areas from polarimetric synthetic
aperture radar (PolSAR) has long been restricted by vegetation attenuation, simplified …
aperture radar (PolSAR) has long been restricted by vegetation attenuation, simplified …
Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation
Time series algorithms for soil moisture retrieval from synthetic aperture radar (SAR) data
have steadily increased in popularity over the past decade due to the feasibility of …
have steadily increased in popularity over the past decade due to the feasibility of …
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 …
A cross-resolution transfer learning approach for soil moisture retrieval from Sentinel-1 using limited training samples
Abstract Synthetic Aperture Radar (SAR) data is increasingly popular as a data source for
global near-surface soil moisture map**, but large-scale applications are still challenging …
global near-surface soil moisture map**, but large-scale applications are still challenging …
An improved method for soil moisture monitoring with ensemble learning methods over the Tibetan plateau
L He, Y Cheng, Y Li, F Li, K Fan… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Soil moisture (SM) is a key parameter of the hydrological process, which affects exchanges
of water and heat at the land/atmosphere interface. The “trapezoid”(or “triangle”) method has …
of water and heat at the land/atmosphere interface. The “trapezoid”(or “triangle”) method has …
[HTML][HTML] Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data
X Zheng, Z Feng, L Li, B Li, T Jiang, X Li, X Li… - International Journal of …, 2021 - Elsevier
Both radar and optical signals are sensitive to the change of surface soil moisture (SSM) and
surface roughness properties (such as root mean squared height-RMSH), and the accuracy …
surface roughness properties (such as root mean squared height-RMSH), and the accuracy …
Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture
Thermal infrared remote sensing have been extensively applied to estimate global-or
regional-extent surface soil moisture. Meanwhile, potentials of the remotely sensed data for …
regional-extent surface soil moisture. Meanwhile, potentials of the remotely sensed data for …
Comparison between thermal-optical and L-band passive microwave soil moisture remote sensing at farm scales: Towards UAV-based near-surface soil moisture …
The unmanned aerial vehicle (UAV) based remote sensing has drawn increased attention in
precision agriculture. Lightweight optical and thermal sensors have been used widely on …
precision agriculture. Lightweight optical and thermal sensors have been used widely on …