常见遥感干旱监测指标在哈萨克斯坦的一致性分析

Translated title of the contribution: Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan

孙博, 钱静*, 陈曦, 邢秀为, 周启鸣

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    5 Citations (Scopus)

    Abstract

    利用主被动微波卫星(SMAP)土壤含水量数据,从相同空间尺度上对比了全球在运行系统中3种常见遥感干旱指数[距平植被指数(AVI)、植被健康指数(VHI)、植被供水指数(VSWI)]在哈萨克斯坦农业干旱监测上的一致性。通过皮尔森相关系数(r)和肯德尔秩相关系数(τ),分别检验干旱指数与土壤含水量及其在干旱等级判断上的相关性,以评估遥感在哈萨克斯坦作物生长季中后期干旱监测中的适用性。结果表明:不同干旱指数在该地区一致性不高。基于植被状况的遥感干旱指数与土壤含水量相关性较低,而结合植被和地表温度的综合指数具有显著正相关。不同土层比较上,VSWI指数与作物根区(0~100cm)土壤含水具有较强相关性(r>0.6),表明其对植物生长季中后期的土壤含水状况有较好的响应能力。

    Translated title of the contributionConsistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan
    Original languageChinese (Simplified)
    Pages (from-to)663-670
    Number of pages8
    Journal干旱区研究
    Volume37
    Issue number3
    DOIs
    Publication statusPublished - 1 May 2020

    Scopus Subject Areas

    • Atmospheric Science
    • Geology
    • Environmental Science (miscellaneous)
    • Ecology
    • Water Science and Technology

    User-Defined Keywords

    • Kazakhstan
    • Remote sensing drought index
    • SMAP
    • Soil moisture
    • Validity test

    Fingerprint

    Dive into the research topics of 'Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan'. Together they form a unique fingerprint.

    Cite this