An investigation on microwave transmissivity at frequencies of 18.7 and 36.5 GHz for diverse forest types during snow season
作者机构：Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchunPeople’s Republic of China College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijingPeople’s Republic of China Changchun Jingyuetan Remote Sensing Experiment StationChinese Academy of SciencesChangchunPeople’s Republic of China School of StatisticsDongbei University of Finance and EconomicsDalianPeople’s Republic of China
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2021年第14卷第10期
页 面：1354-1379页
核心收录：
学科分类：0907[农学-林学] 08[工学] 0708[理学-地球物理学] 0829[工学-林业工程] 09[农学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by National Natural Science Foundation of China:[Grant Number 41771400] National Natural Science Foundation of China:[Grant Number 41871248] Science and Technology Basic Resources Investigation Program of China‘Investigation on snow characteristics and their distribution in China’[Grant Number 2017FY100500]
主 题：Forest transmissivity snow woody stem volume microwave radiometry HUT
摘 要：Forests have invariably been considered as an obstacle in retrieving land surface parameters from spaceborne passive microwave brightness temperature(T_(B))*** quantifying the effect of forests on microwave signals,several models have been ***,these models rarely reveal the dependence of microwave radiation on forest types,which can hardly meet the needs of high-accuracy retrieval of terrestrial parameters in forested regions.A ground-based microwave radiometric observation experiment was designed to investigate the dependence of microwave radiation on frequency,polarization,and forest *** TB at 18.7-and 36.5-GHz for horizontal-and vertical-polarization from the forest canopy was measured at 14 sample plots in Northeast China,along with snowpack and forest structural *** providing fits to experimental data,new empirical transmissivity models for three forest types were developed,as a function of woody stem volume and depending on the frequency/*** proposed models give diverse asymptotic transmissivity saturation levels and the corresponding saturation point of woody stem volume for different forest ***-mean-square error results between T_(B) simulations and Advanced Microwave Scanning Radiometer-2 observations are approximately 3-6 *** study provides an experimental and theoretical reference for further development of inversion models for snow parameters in forested areas.
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