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The Application Of Remote Sensing Technology To Extract And Analyse Vegetation Index

Posted on:2018-10-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y SunFull Text:PDF
GTID:2370330548974932Subject:Forestry
Abstract/Summary:PDF Full Text Request
Vegetation index is an important technology to get effective information from remote sensing images,otherwise,it is an imperative method to calculate the parameters of biochemical and biophysical.So far,according to the incomplete satistics,vegetation index gave been growing to 140s,under the vigorous development,vegetation indexs have their own limitation of application and classification system.This study redefine the classification system and discuss the relationship between vegetation index and some parameters basic on Landsat8 OLI images.This study content is as follows:1)the classification of vegetation index system.This paper redefines classification system basic on the different influence factors.the firt is Atmospheric Resistance,such as ARVI,IAVI and so on;the second is Soil Resistancejust like SAVI,TSAVI,etc.the third is Comprehensive Resistance,such as NDVI,GEMI and so on;the fourth is Other,including DVI,PRIand so on.2)Relationship between vegetation index and vegetation coverage,atmospheric correction,observation angle sensors has been discussed in this study basic on Landsat8 images data through S/N evaluate method.analysis of the study area of vegetation coverage,atmospheric correction,observation Angle sensors on the impact of vegetation index extraction.After the research,this study gets a conclusion that for atmospheric correction,SAVI is less affected;For the vegetation coverage,NDVI,RVI,ARVI change is more apparent;For the Angle of the sun,SAVI impact is more obvious.
Keywords/Search Tags:Vegetation Index, Great Khingan, SNR, Automosphere Calibration
PDF Full Text Request
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