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Study On Estimation Of Aboveground Biomass In Zhenglan Banner Grassland By Remote Sensing

Posted on:2019-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:R H WuFull Text:PDF
GTID:2370330566471523Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Vegetation biomass has always been one of the hot issues that many scholars have studied.Biomass is an important indicator of the production and stability of ecosystem producers.Grassland biomass is an important part of the regional carbon cycle.Estimating biomass and its spatio-temporal changes,as the basis,focus on studying the carbon cycle.Comparing the estimation of Landsat8 OLI image and HJ-1A CCD image with remote sensing,accurate estimation of total grassland biomass is not only important for the earth's ecosystem,but also important for the sustainable use of grassland resources.Taking Zhenglan Banner in Inner Mongolia as a research area,using the measured biomass data in August 2014 combined with Landsat8 OLI and HJ-1A/B CCD2 remote sensing images from 2013 to 2016,a regression model was established between measured biomass and vegetation index,and pick up the most suitable estimate model.Then analyze the impact of meteorological factors on the temporal changes of grassland biomass and the effects of environmental factors on the spatial distribution of grassland biomass changes.The main conclusions are as follows:?1?Theorderofrelevanceofeachvegetationindexis RVIOLI>RVIHJ>NDVIOLI>DVIOLI>NDVIHJ>DVIHJ>GNDVIHJ>GNDVIOLI.The first three performance factors of the HJ-1A CCD2 image and the Landsat8 OLI image vegetation index are:RVI>GNDVI>NDVI.After the regression analysis,a quadratic regression model of the RVI vegetation index based on the HJ-1A CCD2 image and the NDVI vegetation index of the Landsat8 OLI image was selected as the grassland aboveground biomass inversion model.The Landsat8 OLI was selected finally.The quadratic regression model of NDVI vegetation index was used as a grassland biomass estimation model.?2?The average grassland biomass in the Zhenglan Banner has decreased first and then increased.The minimum value appeared in 2014,with a value of 267.05 g/m2,the maximum value appearing in 2013,a value of 378.94g/m2,and the four-year average value of 300.10 g/m2.The 2013-2016Zhenglan Banner August grassland life.The amount is between 267-379 g/m2.The change trend of grassland biomass in the four years is roughly consistent with the July precipitation and August average temperature trends.It can be seen that there is a lag in precipitation effects.?3?In general,the grassland biomass in the central part of China is relatively high,the grassland biomass in the eastern and western parts is low,and the grassland biomass in the south is relatively high.The grassland biomass in the northern part is relatively low.There are Shangdu Town,Heichengzi Demonstration Area,five kinds of livestock farms,the northeastern part of Senggendalai,and the western and northern parts of sai yin Huduga.The grassland biomass is relatively low,including Zagstai sumu,Baoshaodai sumu,Suyin Huduga East and other regions.?4?In general,the grassland biomass in the central part of China is relatively high,the grassland biomass in the eastern and western parts is low,and the grassland biomass in the south is relatively high.The grassland biomass in the northern part is relatively low.There are Shangdu Town,Heichengzi Demonstration Area,five kinds of livestock farms,the northeastern part of Senggendalai,and the western and northern parts of saiyinhuduga.The grassland biomass is relatively low,including Zagstai sumu,Baoshao dai sumu,Saiyin Huduga East and other regions.?5?Combining with the changes in biomass and landform type,vegetation type,soil type,number of livestock,and population density in Zhenglan banner grassland,it can be seen that Zhenglan banner grassland biomass in hills,plains,low wetland vegetation,typical grasslands,artificial vegetation,Meadow meadow,chestnut soil,gray forest soil,chernozem,meadow soil have large absolute dispersion,large relative dispersion,and large changes in grassland biomass.Positively scattered bluegrass grassland biomass on semi-mobile sand,mobile sand,fixed sand,sandy vegetation,shrubs,grey desert soil,grey brown desert soil,aeolian sandy soil,swamp soil,and stony soil Small,relatively small dispersion,grassland biomass changes more stable.The number of livestock on that day,Zagstai Sumu,Saiyin Huduga sumu,Baoshaodai sumu,Sanggendalai town grassland biomass absolute change,the relative change is small,the stability is better.It can be seen that livestock have a large impact on grassland biomass.Population's impact on grassland biomass is small.
Keywords/Search Tags:Landsat8OLI, HJ-1A/B CCD2, Grassland biomass, remote sensing estimation, Vegetation index
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