Open AccessIdentification on the burned forest area of Qipan Mountain using GF1-WFVsatellite image
Author(s) -
Wu Yu,
Ruipeng Ji,
Rui Feng,
Jie Wu,
Y. S. Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/592/1/012164
Subject(s) - normalized difference vegetation index , remote sensing , extraction (chemistry) , environmental science , forestry , range (aeronautics) , high resolution , geography , ecology , leaf area index , biology , chemistry , materials science , chromatography , composite material
In this study, GF1-WFV image was used with a spatial resolution of 16 m, which is higher than that of the commonly used MODIS, TM and other medium-high resolution satellites. Combined with the information extraction of pre-disaster forest and the ratio of NDVI in the two-temporal image before and after fire occurrence, the burned area, and its range after the “4.17” fire in Qipan Mountain in 2019 was analyzed. The results showed among the vegetable indices NDVI and EVI were better than GEMI and BAI in the extraction of burned forest area, while the radio of NDVI in two two-temporal was better than that of EVI. By using NDVI to extract forestland information before the fire occurrence and combining with NDVI ratio, it was most suitable to identify the burned area after a large range of forest fire in this area, with an overall accuracy of 92.2%.