国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2010年
1期
81-84
,共4页
刘艳%丁涛%阮惠华%林娜
劉豔%丁濤%阮惠華%林娜
류염%정도%원혜화%림나
玛纳斯河流域%绿洲-荒漠带%TM影像%尺度%MODIS%多源信息复合法%荒漠化程度指数
瑪納斯河流域%綠洲-荒漠帶%TM影像%呎度%MODIS%多源信息複閤法%荒漠化程度指數
마납사하류역%록주-황막대%TM영상%척도%MODIS%다원신식복합법%황막화정도지수
Manasi river basin%Oasis-dersert zone%TM image%Scale%MODIS%Multi-sources information compounding%Land desertification indexes
利用遥感手段对玛纳斯河流域绿洲-荒漠带的荒漠化状况进行监测.利用不同时期TM数据,在小尺度上分析该区域2000~2008年荒漠化土地的分布特征;基于MODIS陆地遥感产品(NDVI、Albedo及LST),利用多源信息复合法计算荒漠化程度指数;基于TM荒漠化监测结果对该指数进行分级处理,初步建立并验证基于MODIS数据的荒漠化监测评价模型.结果表明: 近10 a来,绿洲外围荒漠化土地变化较小,大部分变化发生在绿洲内部,主要为局部荒漠化被开发或因盐碱化过重导致的撂荒;荒漠化监测评价模型对研究区荒漠化程度定量评价精度可达91.25%.
利用遙感手段對瑪納斯河流域綠洲-荒漠帶的荒漠化狀況進行鑑測.利用不同時期TM數據,在小呎度上分析該區域2000~2008年荒漠化土地的分佈特徵;基于MODIS陸地遙感產品(NDVI、Albedo及LST),利用多源信息複閤法計算荒漠化程度指數;基于TM荒漠化鑑測結果對該指數進行分級處理,初步建立併驗證基于MODIS數據的荒漠化鑑測評價模型.結果錶明: 近10 a來,綠洲外圍荒漠化土地變化較小,大部分變化髮生在綠洲內部,主要為跼部荒漠化被開髮或因鹽堿化過重導緻的撂荒;荒漠化鑑測評價模型對研究區荒漠化程度定量評價精度可達91.25%.
이용요감수단대마납사하류역록주-황막대적황막화상황진행감측.이용불동시기TM수거,재소척도상분석해구역2000~2008년황막화토지적분포특정;기우MODIS륙지요감산품(NDVI、Albedo급LST),이용다원신식복합법계산황막화정도지수;기우TM황막화감측결과대해지수진행분급처리,초보건립병험증기우MODIS수거적황막화감측평개모형.결과표명: 근10 a래,록주외위황막화토지변화교소,대부분변화발생재록주내부,주요위국부황막화피개발혹인염감화과중도치적략황;황막화감측평개모형대연구구황막화정도정량평개정도가체91.25%.
With the zone of oasis and deserts in the Manias River basin as the study object, the authors used different periods of TM data to analyze the patio-temporal features of land desertification at a small scale during the period of 2000~2008, and then calculated indexes of wind-eroded land desertification by using the multi-source information compounding method based on the MODIS data products (NDVI, Albode, LST). Meanwhile, on the basis of the TM land desertification monitoring results, land desertification indexes were processed at different levels, and an assessment model for land desertification monitoring was built approximately. It is shown that, in the past ten years, desertification land in the periphery area has not changed remarkably, while desertification land in the interior of the basin has experienced considerable change, which seems largely caused by local land cultivation or salinization. The experimental results show that a precision of 91.25% can be reached in quantitative assessment of land desertification.