%0 Dataset
%T Mcd15a2 leaf area index LAI in Jinghe River Basin (2002-2021)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/fa9708c7-4e11-4416-926a-33bae24384b7
%W NCDC
%R 10.12072/ncdc.JRiver.db1985.2022
%A Zhang yaonan
%K Leaf area index;ecological remote sensing;Jinghe River Basin
%X Vegetation leaf area index (LAI), also known as leaf area coefficient, can characterize the absorption and interception of light by vegetation and the growth of vegetation. It is usually defined as the sum of vegetation leaf surface area contained in unit area. Because this index can reflect the density of vegetation leaves and the growth status of vegetation in the study area, it is very important to accurately obtain Lai. In the acquisition process of Lai, remote sensing information technology is widely used because of its significant advantages such as real-time dynamic and effective monitoring of vegetation characteristics and short operation cycle. This technology lays a foundation for the effective study of vegetation biochemical parameters.