基于时序影像的火烧迹地植被恢复监测

Monitoring of Vegetation Restoration in Burned Areas Using Sequential Remote Sensing Images

为了监测2019年棋盘山火灾过火区域的植被变化情况,研究北方地区林地火烧迹地的植被恢复规律,使用2019年4月17日前后影像的归一化植被指数差值,提取火灾的过火区域。并通过2018-2022年的时序影像,基于像元二分模型分析过火区域的植被覆盖度变化。结果显示,火灾发生后,大面积的高植被区被破坏,局部地区甚至出现了裸露地表。经过3年的人工和自然恢复,过火区域的植被覆盖得到不同程度的恢复,但并未恢复到火灾以前的状态,存在一定差距。

In order to monitor the vegetation changes in the areas affected by the 2019 Qipan Mountain fire and study the vegetation restoration patterns in the burned areas of forest land in northern China,used NDVI(normalized difference vegetation index)difference data from images before and after April 17,2019 to extract the burned areas.And based on the dimidiate pixel model,analyzed the changes of vegetation coverage in the burned areas using multi-temporal images from 2018 to 2022.The results shows that after the fire,a large area of high vegetation was damaged,and some areas even showed exposed ground.After three years of artificial restoration and natural restoration,the vegetation coverage in the area where the fire occurred has been restored to varying degrees,but there is still a certain gap before the fire.