| Because of long-term logging and frequent fire,the arid sunny-slope vegetation appears in the trend of grassland in Great Xing’an Mountains.For monitoring the Great Xing’an Mountains slope grassland vegetation distribution and change law using ENVI software pretreatment of TM,NDVI and MODIS data in 2012,data fusion gradient and slope direction,combining ArcGIS software analysis vegetation distribution characteristics in arid sunny-slope.At the same time pretreatment of TM data with 2000,through time series analysis and comparison with 2000 and 2012data to extract vegetation types distribution and vegetation changes in arid sunny-slope of Great Xing’an Mountains region dry slope,the results are as follows:(1)Using ENVI software processing TM,NDVI and MODIS data,classification accuracy is 68.49%,72.15%and 58.43%,which derived from TM-NDVI data classification accuracy is higher than others,it is a strong applicability extract the Great Xing’an Mountains region arid sunny-slope mountain grassland vegetation,and accuracy is 74.2%.(2)There are arid sunny-slope in area is 8 412 km~2,about 10%of Great Xing’an Mountains;there are grassland vegetation covers an area of 522.496 8 km~2,brush covers an area of 1319.880 7 km~2,forest area of 6202.6214 km~2 in arid sunny-slope of Great Xing’an Mountains region in 2012;Thickets and mountain steppe vegetation mainly distributed in Jiagedaqi and Songling area;Forest vegetation is covered all the the arid sunny-slope of Great Xing’an Mountains region,and mainly distributed north of Songling area.Arid sunny-sunny slope,forests,thickets and mountain steppe vegetation are most covered in the south slope,and mainly in the south slope of 15 to 24°.(3)There are mountain grassland vegetation coverage area has decreased,forests and thickets covering area is a slight increase,vegetation changes are different in different areas from 2000 to 2012 in arid sunny-slope of Great Xing’an Mountains.The vegetation change obvious area is south slopes 15 to 24 0.The vegetation degradation has a tendency to move northward from the overall trend. |