| Based on the study on the drought dynamics in the Huitengxile area,the study of the wind farm construction area of the Huitengxile grassland in Wukanchabu City.Inner Mongolia Autonomous Region,this paper explores the use of 3S Technical means for the region to conduct a wide range of grassland drought remote sensing monitoring methods and models.In order to ensure the consistency and reliability of the research data,the Landsat series of satellite imagery images were selected,which were the remote sensing images of Landsat5 in four periods of 1995,2000,2005 and 2010,respectively.Seasonal Landsat8 Remote Sensing Image.The data of vegetation and drought in the image were extracted and the related meteorological factors were used to evaluate the change of drought in the study area for 20 years,so as to provide scientific and reasonable suggestions for the construction of Huitongxile grassland wind farm.Which is of great significance to evaluate the ecological environment change in this area.The normalized vegetation index(NDVI)and surface temperature(LST)were calculated by using the red band,near infrared band and hot infrared band of Landsat remote sensing image to describe the response of green vegetation to drought stress habitat.The information of soil moisture and the drought situation of vegetation.(TVDI)and Vegetation Water Supply Index(VSWI)based on the two-dimensional feature space of vegetation index and surface temperature,the two parameters are applied to the green vegetation Has a special physiological and ecological significance,can effectively improve the monitoring accuracy of drought.research shows:(1)Huitengxile wind farm regional environment 20 years drought trend is divided into two stages,1995-2010,there is the trend of drought,2010-2015,there is a wetting trend.This is consistent with the results of the field survey,indicating that a wide range of drought monitoring based on remote sensing technology is feasible for the study area.(2)Compared with the drought grading of the TVDI index method and the drought rank of the VSWI index method,it was found that although the proportion of the drought grade was inconsistent in each period,the change regularity of the drought was similar,Of the two stages.Both drought classification criteria can be used to monitor drought dynamics in the study area.(3)Based on the analysis of large numbers of remote sensing images and meteorological data,this paper attempts to establish the relationship model of drought mean value index,NDVI,precipitation and other factors and the number of fan changes,and the correlation is evaluated.The results show that the increase of fan in the study area has a certain effect on the increase of drought in the study area.With the increase of the number of fans,the rainfall in the study area shows a decreasing trend,but after 2015,due to the decrease of.the fan growth rate and Part of the old fan equipment to stop the operation and removal of the study area of the overall increase in rainfall trends,wind power as a pollution-free clean energy itself is worth promoting,but the development of wind power at the same time,should pay attention to the ecosystem The protection. |
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