Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data
This study uses the brightness temperature at the given microwave frequency (18.7 GHz) from the Microwave Radiation Imager (MWRI) on-board the Fengyun-3B (FY-3B) satellite to improve the τ-ω model by considering the radiative contribution from waterbody in the pixels over the wetla...
Main Authors: | Rong Liu, Jun Wen, Xin Wang, Zuoliang Wang, Zhenchao Li, Yan Xie, Li Zhu, Dongpeng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/13/1536 |
Similar Items
-
Retrieval of Snow Depth on Arctic Sea Ice from the FY3B/MWRI
by: Lele Li, et al.
Published: (2021-04-01) -
Development of a Snow Depth Estimation Algorithm over China for the FY-3D/MWRI
by: Jianwei Yang, et al.
Published: (2019-04-01) -
Detection of FY*A, FY*B and FY*X genotypes in Duffy blood group system by polymerase chain reaction-sequence specific primer (PCR-SSP
by: Poonsub Palacajornsuk, et al.
Published: (2015-05-01) -
Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
by: Duanyang Liu, et al.
Published: (2021-05-01) -
Spatiotemporal Variation of NDVI in the Vegetation Growing Season in the Source Region of the Yellow River, China
by: Mingyue Wang, et al.
Published: (2020-04-01)