基于植被指數(shù)的水資源遙感定量反演模型與預測研究——以貴州省為例.pdf

1、學校代碼:10663學號:4201410000429貴州師范大學碩士學位論文基于植被指數(shù)的水資源遙感定量反演模型與預測研究——以貴州省為例TheStudyonRemoteSensingQuantitativeInversionModelPredictionofWaterResourcesBasedonVegetationIndex—ACaseStudyofGuizhouProvince專業(yè)名稱:自然地理學專業(yè)代碼:070501研究方向:

2、水文水資源與GIS申請人姓名:孫小瓊導師姓名(職稱):梁虹教授二零一七年六月八日3.29月份植被指數(shù)與降水量的響應關系.......................................333.2.1相關性分析...............................................................................333.2.2灰色關聯(lián)分析..................

3、.........................................................333.2.3模型構建與檢驗.......................................................................363.3本章小結.....................................................................

4、....................40第四章第四章研究區(qū)植被指數(shù)與徑流深的響應關系研究區(qū)植被指數(shù)與徑流深的響應關系..................................414.13月份植被指數(shù)與徑流深的響應關系........................................414.1.1相關性分析.....................................................

5、..........................424.1.2灰色關聯(lián)分析...........................................................................424.1.3建立模型與檢驗.......................................................................434.29月植被指數(shù)與徑流深的相關性分析

6、........................................474.2.1相關性分析...............................................................................474.2.2灰色關聯(lián)度分析.......................................................................474.

7、2.3建立模型與檢驗.......................................................................484.3本章小結.........................................................................................50第五章第五章結論與不足結論與不足.......................

8、.......................................................515.1結論..................................................................................................515.2存在的問題..................................................

9、..................................52參考文獻：參考文獻：..............................................................................................54附錄附錄..........................................................................