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Research On Forest Canopy Closure Inversion Based On Landsat8OLI Data

Posted on:2015-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:S L WuFull Text:PDF
GTID:2253330431963725Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Forest is an important part of global terrestrial ecosystem. Forest canopy closure (FCC) is one of the important parameters for the forest.The forest canopyclosure is thelevel of treescrown covered the ground.The forest canopy closure is an important index to reflect the growing levelof forest.The forest canopy closure is widely used in the evaluation of adjustment and ecological forest structure, forest survey.This study isfunded by the national high technology research and development program of (863) subject of forest structure parameter inversion of/2012AA102001-5.The study area is Sanming Cityof Fujian Province.This study also used the forest surveydata, Landsat8OLI data and ASTER GDEMdata. This study uses variety of mathematical modeling methods to estimate theForest canopy closure. Main research contents, methods and results are as following:(1) This study use digital photos tosurvey the forest canopy closure of the sample areas, and using the methods to correct the result of the survey, improves the measurement accuracy of the ground canopy density.(2) This study usevariety of mathematical modeling methods to estimating the forestcanopy closure of the study area. And these models were compared and testedtheir accuracy in the experimentation area. Finally the stepwise linear regression model was the best.(3) This study also use stepwise linear regression model to inversionthe forest canopy closure of Jiangle County Sanming City Fujian Province.The Result of this study is that using the OLI data of Landsat8and ASTER GDEM elevation data and stepwise linear regression method can measure the forest canopy closure of study area in Sanming City of Fuiian provinceaccurately.
Keywords/Search Tags:Canopy closure, remote sensing, Landsat8, neural network
PDF Full Text Request
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