EVALUATING THE SENTINEL-2A SATELLITE DATA FOR FUEL MOISTURE CONTENT RETRIEVAL

被引：0

作者：

Shu, Qidi ^{[1
]}

Quan, Xingwen ^{[1
]}

Yebra, Marta ^{[2
,3
]}

Liu, Xiangzhuo ^{[1
]}

Wang, Long ^{[1
]}

Zhang, Yang ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

[2] Australian Natl Univ, Fenner Sch Environm & Soc, GPO Box 4, Canberra, ACT 2601, Australia

[3] Bushfire & Nat Hazards Cooperat Res Ctr, Melbourne, Vic 3002, Australia

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Fuel moisture content (FMC); Sentinel-2A; Multiple radiative transfer models (RTMs); Wildfire; FOREST; MODIS; MODEL;

D O I：

10.1109/igarss.2019.8900104

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Fuel moisture content (FMC) of vegetation canopy is a critical variable in affecting wildfire behavior. Methodologies based on multiple sources of remote sensing data have shown a prominent advantage for spatial and temporal FMC mapping. However, there is no study focused on FMC retrieval using the Sentinel-2A satellite data to date. This study is to evaluate the performance of this data for FMC retrieval under the framework of the multiple coupled radiative transfer models. Due to the limited field measurements and discontinuous satellite data, only 15 field measurements from USA, South Africa, Australia and France were available for the validation of the retrieved FMC. Results show that the retrieved FMCs were promising with R-2 = 0.64 and RMSE = 47.16%, which demonstrated the potential usage of the Sentinel-2A data for FMC mapping and further applications for early-warning of wildfire risk.

引用

页码：9416 / 9419

页数：4

共 17 条

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