基于地表温度和植被指数的黑龙江省旱情遥感动态监测  

Remote Sensing Dynamic Monitoring of Drought Based on Surface Temperature and Vegetation Index in Heilongjiang Province

作　　者：祝鹏 辛景峰[1,2] 黄诗峰[1,2] 马建威[1,2] 孙亚勇[1,2] ZHU Peng;XIN Jing-feng;HUANG Shi-feng;MA Jian-wei;SUN Ya-yong(China Institute of Water Resources and Hydropower Research,Beijing 100038,China;Research Center on Flood and Drought Disaster Reduction of Ministry of Water Resources,Beijing 100038,China)

机构地区：[1]中国水利水电科学研究院,北京100038 [2]水利部防洪抗旱减灾工程技术研究中心,北京100038

出　　处：《水电能源科学》2020年第3期5-8,共4页Water Resources and Power

基　　金：中国水利水电科学研究院科研专项(JZ0145B032019);国家重点研发计划(2017YFC1502406);国家自然科学基金青年科学基金项目(41701431)。

摘　　要：干旱灾害是一种影响范围广、时间跨度大的自然灾害,对社会经济发展尤其是给农业生产造成重大损失。遥感技术具有观测空间尺度大、实时性强的特点,有利于大范围、实时、动态的旱情监测。利用MODIS的LST和NDVI遥感数据,依托站点实测土壤含水率数据,分析土壤含水率与地表温度和植被指数之间的关系,考虑土壤类型,构建温度植被多项式模型,进行表层土壤水分反演,基于此开展2018年3~7月黑龙江省旱情遥感监测应用研究。监测结果显示,监测期内黑龙江省经历了两次规模较大的干旱过程,干旱的核心区域为黑龙江省西南部区域,与实际情况相吻合。研究表明,考虑土壤类型的温度植被多项式模型对旱情遥感监测具有良好的应用效果。Drought is a natural disaster with a wide range of influences and large time spans,posing serious threats to social production,especially in agriculture.Remote sensing technology has the characteristics of large observation range and strong real-time performance,and has significant application potential for large-scale,real-time and dynamic drought monitoring.In this paper,the relationship between soil moisture and land surface temperature/vegetation index was analyzed using MODIS LST and NDVI satellite data,combined with ground soil moisture data.Then,a temperature and vegetation index polynomial model was built considering the soil texture characteristics to invert soil moisture.The drought remote sensing monitoring was carried out in Heilongjiang Province from March to July 2018.The monitoring results show that the drought has undergone two processes of development.The core area of the drought is the southwestern part of Heilongjiang Province,which is consistent with the actual situation.The research shows that the temperature/vegetation index polynomial model based on soil texture has a good application effect on drought remote sensing monitoring.

关 键 词：NDVI LST 温度植被多项式模型 遥感监测 土壤含水率反演 

分 类 号：X833[环境科学与工程—环境工程]