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草业学报 ›› 2010, Vol. 19 ›› Issue (3): 14-21.

• 研究论文 • 上一篇    下一篇

MODIS MOD13Q1数据在北疆荒漠化监测中的应用评价

刘艳1,李杨1,崔彩霞1,阮惠华2   

  1. 1.中国气象局乌鲁木齐沙漠气象研究所,新疆 乌鲁木齐 830002;
    2.广东省气象信息中心,广东 广州 510080
  • 收稿日期:2009-06-15 出版日期:2010-03-25 发布日期:2010-06-20
  • 作者简介:刘艳(1978-),女,河南扶沟人,助理研究员。E-mail:liuyan@idm.cn
  • 基金资助:
    中国沙漠气象科学研究基金项目(sqj2007009),风云三号地面应用系统工程建设项目(FiDAF-2-07),新疆北部光温湿变化的精细化及其对植被的影响(40701148)和国家重点基础研究发展计划(973计划)(2006CB701305)资助。

Evaluation of MODIS MOD13Q1 data in desertification in the north area of Xinjiang

LIU Yan1, LI Yang1, CUI Cai-xia1, RUAN Hui-hua2   

  1. 1.Institute of Desert Meteorological, China Meteorological Administration, Urumqi 830002, China;

    2.Meteorological Information Center of Guangdong, Guangzhou 510080, China
  • Received:2009-06-15 Online:2010-03-25 Published:2010-06-20

摘要: 利用中分辨率成像光谱仪MODIS(moderateresolutionimagingspectroradiometer)MOD13Q1(vegetationindices16-dayL3global250m)数据,对北疆地区2007和2008年植被生长季(5月下旬-9月中旬)32景MOD13Q1数据进行累积求和、植被盖度转换和荒漠化指数(desertificationindex,DI)计算及分级。分级结果客观的反映了北疆地区荒漠化土地的空间分布。北疆地区非荒漠化土地主要分布在天山、阿尔泰山的中高山部分(呈带状分布)及部分绿洲区,其他地域均有不同程度荒漠化。因此,MOD13Q1数据可被有效应用于大尺度环境变化和荒漠化进程的遥感监测中。收集2007年北疆地区37个气象站点年均最高气温和年均降水量数据,结合DEM经空间插值后获取区域气温、降水量数据,气温、降水量和DI相关性分析发现DI与气温间具有较高的正相关性,与降水则表现出负相关性。

Abstract: We use MODIS MOD13Q1(vegetation indices 16-day L3 global 250 m)data to compute cumulative sum of 16 scenes MOD13Q1 data from late May to late September in 2008 and 2007 when the vegetation in growing, convert vegetation coverage, compute the desertification Index and classify. The classification result objectively reflects spatial distribution of desertification in the north area of Xinjiang. Non-desertification area mainly distributes in the mid-high parts of Tianshan Mountain, Altai Mountain and some oasis. The other areas also have varying degree of desertification. Therefore MOD13Q1 data can be efficiently applied to large scale environment change and remote sensing monitoring of desertification process. In the paper, We can access regional temperatures, precipitation by spatial interpolation of DEM,annual mean maximum temperature and annual mean precipitation data gathered in the 37 weather stations. DI and temperature have high positive correlation, while DI and precipitation have negative correlation by correlation analysis of DI, temperature, precipitation.

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