天山北坡中段典型草原區(qū)地上生物量遙感監(jiān)測模型的建立.pdf

1、新疆農(nóng)業(yè)大學(xué)碩士學(xué)位論文天山北坡中段典型草原區(qū)地上生物量遙感監(jiān)測模型的建立姓名：王新欣申請學(xué)位級別：碩士專業(yè)：草業(yè)科學(xué)指導(dǎo)教師：朱進忠20080501AbstractTheslopecentersectioninNorthTianshanisbreedingdifferentlawntypebyterrain’ssuperioritvandcharacteristic，holdstheextremelyimportantstatusin

2、theXinjianglawnanimalhusbandryproductionTheaccumtepromptgainthisregiongroundbiomassaswellasalongwiththetime，spatialvariationScharacteristicisthekeytOrealizehighlyeffectiveandcontinuallyusinglawnresources，thereforecarries

3、onthedynamlcmonitorandtheestimationresearchusingthesatelliteremotesensingtechniquetothelawnhasthevitalsignificanceThisarticleusestheEOS／MODISsatelliteremotesensingdata，inthesystematicstudvandsummarizesthedomesticandforei

4、gnlawnvegetationindexandabovethegroundbiomassremotesensingmonitorresearchdevelopmentfoundation，taketheslopecentersection’StypicalprairieareaofTianshannorthmUrumqiastheobjecttostudysurveythegroundbiomassbyremotesensingtec

5、hniquehasanalyzedthecorrelationaldependencebetweenremotesensingvegetationindexandbiomassandhasestablishedthedynamicestimationmodelofgroundbiomassintypicalprairiearea，willprovidetheefficientpathtocarryoutthebigareauplandm

6、eadowbeltestimationandthedynamicmonitorforthepresentThisarticlemainresearchconclusionisasfollows：1VegetationindexNDVI，RVIandthegroundbiomassexistextremelyremarkable，thereforemavbelievethatestablishesremotesensingmonitorm

7、odeloflawnbiomassbyusingvegetationindexisfeasible2Intheresearcharea，theanalysisofvegetationindexfittingtrend，lookatthefittingtendencvwithtwoplantersbyintheindexrelationsscatterdiagrams，vegetationindexandgroundbioⅡmsshaso

8、bviouscorrelatlOnaldependencemtheresearchareaofmeadowprairie，prairie，wildernessprairiethevegetationindexincreasesfollowbiomass3Throughlinearregressionanalysisandthenonlinearregressionanalysisbetweentwoplantersindexandthe

9、groundbiomass，obtainsthemeadowprairieandtheRVIrelevanceismostremarkabletheestimationmodelistakeRVIasanindependentvariableYuanlinearregressionmodel；TheprairieandwildernessprairiearemostremarkablewiththeNDVIrelevance，thees

10、timationmodelistakeNDVIastheindependentvariableconicsectionregressionmodel4TesearchareavegetationindexNDVIandthegroundbiomassseasonalvada“oncharactedsticthroughthedynamicmonitorhascarriedonanalysis，obtainedmeadowprairie，

11、prairie，wildernessprairiedyna曲cestimationmodelrespectivelyisaYuanlinearregressionmodeltheconicsectionregressionmodel，thepowerfunctioncurvemodel5Throughconfirmationanalysistothetestpointactualvalueandtheinversionvalueobta

12、jⅡsmeadowpral‘le，prame，wildernessprairiedynamicmodelestimationprecisionrespectivelytoachieve8306％，9085％，8806％6TheMODISvegetationindexcurveandthegroundbiomasscurvecanreflectionwellwithlawntypeVegetativeseasonchangeprocess

13、，thisindicatethatvegetationindexandthegroundbiomasshasremarkablerelevance，simultaneouslyalsoexplainedthattypicalprairieareaestimationmodelcanmeettheactualproductionneedsinslopecentersectionofnorthTianshanKeyword：EOS／MODI