基于多源遥感数据融合的湖南林地干旱动态监测研究

Dynamic monitoring of forest land drought in Hunan based on multisource remote sensing data fusion

湖南省森林资源丰富,但森林质量不高,抗逆能力较差,林地干旱及其次生灾害已成为湖南林业发展的重大威胁。文中通过多源遥感数据融合模型(STARFM模型与SADFAT模型)将高时间分辨率的MODIS数据和高空间分辨率的LANDSAT数据进行融合,从融合后的影像中提取地表温度(LST)与植被指数(NDVI)2个林地干旱因子,构建温度-植被干旱指数模型(TVDI),利用模型对湖南省2016年6—8月森林生长季每月3天的林地干旱进行了反演,绘制了林地干旱专题图,并对湖南省夏季干旱分布情况进行了分析,为准确、快速地对湖南省林地干旱进行监测和预警提供了一种科学方法。

Hunan is rich in forest resources,but its forest quality is not high and its resilience is poor.Forest land drought and its secondary disasters have become a major threat to Hunan’s forestry development.In this paper,the multi source remote sensing data fusion model(STARFM model and SADFAT model)is used to fuse the high temporal resolution MODIS data and high spatial resolution LANDSAT data.From the fusion image,the surface temperature(LST)and the vegetation index(NDVI)two woodland dry and drought factors are extracted,and the temperature vegetation drought index model is constructed(TVDI),using the model to invert the forest drought of three days a month in the 6-8 month forest growing season of 2016 in Hunan province,draw the thematic map of the woodland drought,and analyze the drought distribution in the summer of Hunan province,which provides a scientific method for the accurate and rapid monitoring and early warning of the woodland drought in Hunan province.