Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan
发布时间：2021-12-20 点击次数：
所属单位：State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS),
发表刊物：Q2
关键字：wildfires; prescribed fires; Margalla Hills; SAR; optical images; spectral indices; NBR; NDVI
摘要：The extent of wildfires cannot be easily mapped using field-based methods in areas with complex topography, and in those areas the use of remote sensing is an alternative. This study first obtained images from the Sentinel-2 satellites for the period 2015–2020 with the objective of applying multi-temporal spectral indices to assess areas burned in wildfires and prescribed fires in the Margalla Hills of Pakistan using the Google Earth Engine (GEE). Using those images, the Normalized Difference Vegetation Index (NDVI) and the Normalized Burn Ratio (NBR), which are often used to assess the severi
合写作者：Aqil Tariq
论文类型：期刊论文
论文编号：18
学科门类：工学
一级学科：环境科学与工程
文献类型：M
卷号：12
页面范围：19
字数：6300
是否译文：否
发表时间：2021-10-09
收录刊物：SCI
