Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements

Thumbnail Image
Download
Name

Regularized_Dual-Channel_Algorithm_for_the_Retrieval_of_Soil_Moisture_and_Vegetation_Optical_Depth_From_SMAP_Measurements.pdf

Description
Published version
Size

5.78 MB

Format

Adobe PDF

Checksum (MD5)

7457e79abaab4dd60d8dfb1e5742b946

sword-2023-03-15T17:28:24.original.xml (130 B)
Original SWORD entry document
Author(s)
Chaubell, Julian
•
Yueh, Simon
•
Dunbar, R Scott
•
Colliander, Andreas
•
Entekhabi, Dara
•
Chan, Steven K
•
Chen, Fan
•
Xu, Xiaolan
•
Bindlish, Rajat
•
OaNeill, Peggy
Date Issued
2022
Journal
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chaubell, Julian, Yueh, Simon, Dunbar, R Scott, Colliander, Andreas, Entekhabi, Dara et al. 2022. "Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth from SMAP Measurements." Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 15.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/JSTARS.2021.3123932
PrivacyPermissionsAccessibilityContact us
Notify us about copyright concerns.