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中国沙漠 ›› 2020, Vol. 40 ›› Issue (6): 139-150.DOI: 10.7522/j.issn.1000-694X.2020.00037

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基于ESA-LUCMODIS-NDVI的西北干旱荒漠-绿洲体系分类阈值及应用

武磊(), 李常斌(), 王刘明, 谢旭红, 张媛, 魏健美   

  1. 兰州大学 资源环境学院/西部环境教育部重点实验室,甘肃 兰州 730000
  • 收稿日期:2019-09-06 修回日期:2020-04-28 出版日期:2020-12-09 发布日期:2020-12-09
  • 通讯作者: 李常斌
  • 作者简介:李常斌(E-mail: licb@lzu.edu.cn
    武磊(1994—),男,山西晋中人,博士研究生,主要从事水环境遥感研究。E-mail: wul17@lzu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2017YFC0504306);国家自然科学基金项目(41671017)

Division and application of desert-oasis system in arid Northwest China based on ESA-LUC and MODIS-NDVI

Lei Wu(), Changbin Li(), Liuming Wang, Xuhong Xie, Yuan Zhang, Jianmei Wei   

  1. Colllege of Earth and Environment Sciences / MOE Key Laboratory of Western China’s Environmental Systems,Lanzhou University,Lanzhou 730000,China
  • Received:2019-09-06 Revised:2020-04-28 Online:2020-12-09 Published:2020-12-09
  • Contact: Changbin Li

摘要:

选择ESA-LUC和MODIS NDVI数据,通过两套数据的逐像元对比,实现基于NDVI的荒漠-绿洲阈值率定,在此基础上形成绿洲植被、荒漠植被和荒漠等大类。绿洲属外源水资源支撑类,具较高植被生产力;荒漠植被属本地降水支撑类,属过渡型植被生产力;荒漠类包括沙漠、岩漠、砾漠等未利用类型,以绿度极低或无植被为主要特征。结果表明:NDVI阈值与参照覆被的构成密切相关,受研究区水文气象、基质类型及绿洲开发程度等影响,分类阈值构成也不尽相同。将率定所得阈值应用于4个代表性流域荒漠-绿洲体系的划分及植被演变研究,发现各研究区植被动态与绿洲扩张、区域水资源变化和荒漠本底占比等形成良好空间对应;稳定区以绿洲更绿、荒漠更荒为主要变化特征;变化高值区主要分布在绿洲外围地带,反映了农业扩张、轮作或弃耕等人为因素;荒漠腹地的植被变化幅度较小,与该区植被主要受本地降水支撑和调节有关。研究为干旱荒漠-绿洲体系划分提供了一种简单实用的数据方法,相关结论可为干旱区水土资源的合理规划利用及荒漠生态保护、改良提供基本数据支撑。

关键词: 绿洲植被, 荒漠植被, 荒漠, ESA-LUC, MODIS-NDVI

Abstract:

In this study, the ESA-LUC and MODIS-NDVI data were adopted for pixel comparisons to calibrate matching values (thresholds) between the two datasets. Based on which, ESA-LUC types were clustered into three types including oasis vegetation (OV), desert vegetation (DV) and bareland (BL) by application of the calibrated NDVI thresholds. Correspondingly, it is the water outside the arid desert-oasis system that supports the OV growth, while local precipitation provides water for physiological consumption of the DV. The third type of the BL includes desert, hamada, gravel desert, and so on, featuring very low greenness or non-vegetative land surface. It is concluded that the referenced LUC is essential for NDVI thresholds determination for Clustering. NDVI thresholds were remarkably different due to hydrometeorology, matrix characteristics and oasis development in the middle and lower reaches where dominate the desert-oasis system, in the selected four representative basins. Classification by clustering results into strong effectiveness of oasis extension, local precipitation and desert matrix on vegetation dynamics. It is found that the stable OA become greener while the stable BL, barer during the time period from 2001 to 2015. In the unstable area, more increase is found near the stable OA, while less of that is located mainly in the interior desert where local precipitation feeds vegetative prosperity. Overall, a simple filtering technique provides opportunities for people to classify the arid desert-oasis system for better understanding of relationship between ecological water consumption and vegetation growth, then benefits soil-water planning and desert ecology protection in the resource-scarce and water-shortage area in Northwestern China

Key words: oasis vegetation, desert vegetation, bareland, ESA-LUC, MODIS-NDVI

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