Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm
Passive microwave sensors use a radiative transfer model (RTM) to retrieve soil moisture (SM) using brightness temperatures (<i>T<sub>B</sub></i>) at low microwave frequencies. Vegetation optical depth (VOD) is a key input to the RTM. Retrieval algorithms can analytically inv...
Main Authors: | Lanka Karthikeyan, Ming Pan, Dasika Nagesh Kumar, Eric F. Wood |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/4/1225 |
Similar Items
-
A Retrieval Algorithm for Passive Microwave-Based Land Surface Temperature Considering Spatiotemporal Soil Moisture and Land Scenarios
by: Weizhen Ji, et al.
Published: (2024-01-01) -
Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements
by: Julian Chaubell, et al.
Published: (2022-01-01) -
A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations
by: Mengjia Wang, et al.
Published: (2021-12-01) -
Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval
by: Xuesong Bai, et al.
Published: (2022-09-01) -
Synergistic Evaluation of Passive Microwave and Optical/IR Data for Modelling Vegetation Transmissivity towards Improved Soil Moisture Retrieval
by: Mina Moradizadeh, et al.
Published: (2022-02-01)