利用MOD13Q1产品监测肯尼亚2001—2010年荒漠化动态  

Monitoring of Desertification Dynamic in Kenya during 2001-2010 Using MOD13Q1 Data

作　　者：何磊[1] 王超[1] 别强[1] 赵传燕[2] 

机构地区：[1]兰州大学遥感与地理信息系统研究所,甘肃兰州730000 [2]兰州大学草地农业系统国家重点实验室,甘肃兰州730000

出　　处：《中国沙漠》2013年第1期46-52,共7页Journal of Desert Research

基　　金：中国-联合国合作非洲水行动项目(2010DFA32850);国家自然科学基金重点项目(91025015)共同资助

摘　　要：使用MODIS MOD13Q1-NDVI数据,通过NDVI累计计算,得到肯尼亚2001年和2010年植被生长状况较好时期的NDVI影像。基于像元二分模型,估算植被盖度。利用植被盖度进行荒漠化评价。结果表明,肯尼亚近10年来生态环境总体趋于改善,荒漠化发展态势并不明显,但荒漠化问题仍然严重。不同程度的荒漠化土地变化趋势不尽相同,轻度荒漠化和重度荒漠化转出面积大于转入面积,呈现减少趋势,非荒漠化和中度荒漠化变化相反,各省区的荒漠化土地变化趋势也不相同。在小范围地区内,使用Landsat-5TM影像进行验证,发现与MODIS数据评价结果相似,但更能详尽的描述重点区域的荒漠化问题。Kenya was selected as a study area and MODIS MOD13Q1-NDVI data with high temporal resolution were used in this study.Based on the accumulation calculation of NDVI values,the NDVI images in Kenya in 2001 and 2010 were obtained.The vegetation coverage in Kenya was calculated by the dimidiate pixel model,which was used to assess desertification in Kenya.Results showed that there was no significant desertification development in Kenya during the past 10 years,even though the desertification was still a serious problem.The trends of different desertification grades were different： the areas of slight desertification and serious desertification decreased.However,there was opposite trend for the non-desertification and moderate desertification,the areas of the two types increased.And the trends of desertification in different provinces were also different.At a small spatial scale,we compared classification results of desertification grades with MODIS and Landsat-5 TM images.There existed consistent in classification results with MODIS and Landsat-5 TM images,but Landsat-5 TM data could provide a more detailed description of desertification in key areas.

关 键 词：肯尼亚 荒漠化 植被盖度 MOD13Q1-NDVI 

分 类 号：X144[环境科学与工程—环境科学]