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Using GF-1 To Estimate The Forest Stand Dieback Status Of Pinus Yunnanensis In Xiangyun County

Posted on:2017-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:L D PengFull Text:PDF
GTID:2283330485968736Subject:Forestry
Abstract/Summary:PDF Full Text Request
The spectral analysis of score a satellite data, combined with field survey data, to estimate the Yunnan Xiangyun County General Peng Yeh town area of Yunnan pine forest average dieback state, the research results can be for the area of plant diseases and insect pests and pest monitoring to provide reference.The main contents and results of this paper are:(1) In Xiangyun County laid covering different dieback level 30 pieces of cluster plots, for each sample per tree of dieback rate and canopy density survey, and sampling in dieback rate average characterization of average dieback state.(2) Based on high satellite wide camera data based on vegetation index of Pinus yunnanensis forest average dieback rate estimation attempts, compared the different vegetation indices. Study found, NDVI and RVI and forest dieback rate was significantly correlated R2=0.64,0.65.(3) In order to accurate response dieback rate, on the basis of the model of dieback rate between planting index, Based on the regression variables of canopy density, established dieback rate high accuracy rate model, Which contains the standard vegetation index and canopy density model is Y=0.9350-0.9233X+0.0302xCD, and the model of contains the Ratio vegetation index and canopy density is Y=-0.0772+X-0.5716+0.0400xCD, the accuracy of the two models is higher, and the predictive power is higher.(4)Through the inversion on the region’s forest dieback rate, In this area, the 54%-58% area dieback rate of forest reached or exceeded 40%, the Dendroctonus disaster hazards have been in the area, should take measures to prevent further deterioration, moderate thinning reduced canopy density is a feasible method of biological control.
Keywords/Search Tags:canopy density, dieback rate, remote sensing monitoring, inversion, Pinus yunnanensis
PDF Full Text Request
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