Journal of Arid Meteorology

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Applicability Study of Remote Sensing Drought Monitoring Indexes
 in Qumarleb Apline Grassland of Qinghai Province

CHEN Guoqian1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2, ZHU Cunxiong1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2, LI Lin3, LI Hongmei4, LI Fu1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2   

  1. 1. Qinghai Institute of Meteorological Science, Xining 810001, China;
    2. Key Laboratory of Disaster Prevention and Mitigation in Qinghai Province, Xining 810001, China;
    3. Weather Modification Office of Qinghai Province, Xining 810001, China;
    4. Qinghai Climate Center, Xining 810001, China
  • Online:2018-12-31 Published:2018-12-31

青海高寒草地区曲麻莱县遥感干旱指数的适用性研究

陈国茜1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2祝存兄1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2李林3李红梅4李甫1,2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2[Author]) AND 1[Journal]) AND year[Order])" target="_blank">2   

  1. 1.青海省气象科学研究所,青海西宁810001;2.青海省防灾减灾重点实验室,青海西宁810001;
    3.青海省人工影响天气办公室,青海西宁810001;4.青海省气候中心,青海西宁810001
  • 作者简介:陈国茜(1986— ),女,硕士,高级工程师,主要从事RS与GIS技术在生态气象中的应用研究. E-mail:guoxi_chen@163.com。

Abstract:

Based on the MODIS products and ecological data from ground observation stations during 2001-2016, the remote sensing drought index and the applicable period were selected according to the correlations between the drought monitoring indexes of remote sensing (PDI, NDWI and VCI) and soil moisture and combined with typical drought cases, the optimal remote sensing drought index and suitable period were determined, and then the soil moisture model was built and applied to estimate the summer drought in Qumarleb apline grassland of Qinghai in 2015. The results show that the VCI model was suitable in the study area in summer drought monitoring, and the distribution areas of soil drought and worse pasture growing situation were basically alike according to the percentile method and the spatial evolution trend of drought was consistent with the actual situation. The VCI model and percentile method can meet the business requirements of daily drought monitoring.

Key words: percentile method, PDI, NDWI, VCI, apline grassland

摘要:

利用2001—2016年MODIS产品数据和地面站点数据,在垂直干旱指数、归一化植被水分指数和植被状况指数与土壤水分数据相关分析基础上,筛选相关性较高的遥感干旱指数和适用时段,再结合典型干旱案例,确定青海南部典型高寒草地区曲麻莱县最优遥感干旱指数和适用时段,构建牧草生育期土壤水分估算模型,并再现2015年夏旱事件。结果表明:植被状况指数比较适合曲麻莱县夏旱监测,依据百分位法划分的土壤干旱分布区域与牧草长势较差的分布区域基本一致,旱情空间演变趋势与实际情况相符。该模型及基于百分位法的旱情评价方法能较好地满足日常干旱监测业务需求。

关键词: 百分位法, 垂直干旱指数, 归一化植被水分指数, 植被状况指数, 高寒草地