常见遥感干旱监测指标在哈萨克斯坦的一致性分析

doi:10.13866/j.azr.2020.03.14

摘要/Abstract

摘要： 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。

关键词: 遥感干旱指数, SMAP, 土壤含水量, 一致性分析, 哈萨克斯坦

Abstract: In order to evaluate the applicability of remote sensing drought indices for agricultural drought monitoring in the arid zone of Central Asia,several typical indices (i.e.,AVI,VHI,and VSWI) from current global drought monitoring systems were assessed using active and passive microwave soil moisture data (SMAP).Data from late June,the middle and late period in the plant growing season,were utilized for this experiment.According to datasets for existing land use and land cover,more than 2650 samples fully covered by vegetation were chosen.Correlations between remote sensing drought indices and soil moisture were examined using the Pearson correlation coefficient (r) and Kendall rank correlation coefficient (τ) .Resultes show that AVI and soil moisture are not significantly correlated.However,VHI and VSWI are significantly positively correlated with soil moisture at two layers,including the surface layer (0-10cm) and the root zone layer (0-100cm).By comparison,VSWI exhibits a strong correlation with soil moisture at root zone level (r>0.6),which also shows a good response to drought conditions in the middle and late stages of the growing season in Kazakhstan.For determining drought grade,VHI shows a weak positive correlation with soil moisture.

Key words: remote sensing drought index, SMAP, soil moisture, validity test, Kazakhstan

孙博, 钱静, 陈曦, 邢秀为, 周启鸣. 常见遥感干旱监测指标在哈萨克斯坦的一致性分析[J]. 干旱区研究, 2020, 37(3): 663-.

SUN Bo, QIAN Jing, CHEN Xi, XING Xiuwei, ZHOU Qiming. Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan[J]. Arid Zone Research, 2020, 37(3): 663-.

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