基于GIS-RS奇臺(tái)縣土壤侵蝕研究.pdf

1、V，9OlD12碩士研究生學(xué)位論文新疆大學(xué)滄文題目(中文)：基于GIS／RS奇臺(tái)縣土壤侵蝕研究淪文題目(外文)：StudyonSoilErosionBasedonGIS／RSinQitaiCounty研究生姓名：陳飛學(xué)科、專業(yè)：研究方向：理學(xué)地圖學(xué)與地理信息系統(tǒng)國(guó)土資源管理導(dǎo)師姓名職稱：安放舟副教授論文答辯日期2006年6月1日學(xué)位授予日期2006年月日摘要ABSTRACTSoilerosioniSoneofthemainenviron

2、mentalproblemsintheworld，itistherootcauseoflanddeterioration、soilfertilitydegression、soilphysicochemicalqualitybad、landusecapabilityfellingandecologicalenvironmentdeteriorationInthisthesis，tookqitaiCountyastheregionofint

3、erest，accordingtolandsatTMsatelliteimagesanddigitalmapsetc，basedonremotesensing、geographicinformationsystemsandtraditiontheoretics，theauthordisscussedthemethodofspeedymonitoringandevaluationonthechangesofsollerosion，sear

4、chinganapproachofceleritysurveyingsoilerosionbyremotesensingandgeographicinformationsystemsTheresearchresultcouldhelpthedecisionmakingforfurtherwaterandsoilconservationwork，anditalsooffersreferenceformonitoring、evaluatin

5、gandforecastingsollerosionInthisthesis，firstlyTIvlremotesensingimagesweregeometryrectified，imageintensification，mosaicandcroppingbyusingremotesensingimagesoftwareENVI，selectedcomputeraidedsupervisedclassifleationmeanstoc

6、arrydistributionusingTMremotesensingimagesofqitaiCounty，andincorporatedsoilcategorymaterialtoachieveunderlayingsurfaceparameterandvegetationcoverdegreeinformationintheregionofinterestThen，byArcGIS90，estabfisheddigitalele

7、vationmodel∞EM)ofqitaiCounty。anduseDEMtoanalyzeandachieveterrainfeature，useforreferencesoilerosionmodelwhichbasedonGISbothhereandabroad，onthefoundatlonofanalyzingsoilerosioninfluencingfactorsinthisregion，builtcurrencysoi

8、lerosionmodestbasedonGISFinallyputupsofterosionandinfluencingfactorstatisticalanalysisbyArcGISsoftwareCreateandoutputsoilerosionthematicmapThisthesisdiscussandresearchsubstantivelythetechnologyandmeansextractivecorrelati

9、onfactorofsoilerosionitiSshownthatitwilldistillcorrelatedfactorinformationspeedilyandeffectivelyby“3S’’technologythismethodismoresciencificandnice，andholdingaccuratelychangetrendofsoilerosionfrommacroscopicviewKEYWORDS：S