An investigation on microwave transmissivity at frequencies of 18.7 and 36.5 GHz for diverse forest types during snow season
Forests have invariably been considered as an obstacle in retrieving land surface parameters from spaceborne passive microwave brightness temperature (TB) observations. For quantifying the effect of forests on microwave signals, several models have been developed. However, these models rarely reveal...
Main Authors: | Wang Guangrui, Li Xiaofeng, Chen Xiuxue, Jiang Tao, Zheng Xingming, Wei Yanlin, Wan Xiangkun, Wang Jian |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-10-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2021.1955985 |
Similar Items
-
Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study
by: Jinmei Pan, et al.
Published: (2021-10-01) -
Evaluation of the Effective Microstructure Parameter of the Microwave Emission Model of Layered Snowpack for Multiple-Layer Snow
by: Yue Yu, et al.
Published: (2021-05-01) -
A Snowfall Detection Algorithm for ATMS Over Ocean, Sea Ice, and Coast
by: Yalei You, et al.
Published: (2022-01-01) -
A Dynamic Snow Depth Inversion Algorithm Derived From AMSR2 Passive Microwave Brightness Temperature Data and Snow Characteristics in Northeast China
by: Yanlin Wei, et al.
Published: (2021-01-01) -
Editorial for the Special Issue “Microwave Indices from Active and Passive Sensors for Remote Sensing Applications”
by: Simonetta Paloscia, et al.
Published: (2019-03-01)