Abstract
Abstract In recent years, remote sensing technology has become an important tool for monitoring vegetation changes in semi-arid regions. By using data collected by satellites to calculate vegetation indices, researchers can track changes in vegetation density and productivity over time. This can help identify areas of potential desertification or degraded land degradation and develop management strategies to restore degraded ecosystems. The objectives of this paper are to use multi-temporal MODIS data to extract vegetation distribution characteristics and dynamics in Inner Mongolia Autonomous Region. This study summarized the rainfall data of Inner Mongolia Autonomous Region from 2000 to 2019, and found the driest year 2001 and the wettest year 2012. The NDVI data of 4 districts of Xingan League in 2001 and 2012 were selected for analysis, and the average NDVI value and standard deviation of the 4 districts were obtained. NDVI data was combined with elevation data and vegetation data for analysis. The relationship between precipitation and NDVI is helpful to understand the impact of drought on vegetation in Inner Mongolia and provide reference for regional environmental management.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
