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VI-LST遥感模型在福建省干旱灾害监测中的应用
引用本文:张春桂,陈家金,林晶,陈惠,张星. VI-LST遥感模型在福建省干旱灾害监测中的应用[J]. 福建农林大学学报(自然科学版), 2008, 37(4)
作者姓名:张春桂  陈家金  林晶  陈惠  张星
作者单位:1. 福建省气象科学研究所,福建福州,350001
2. 福建省气象局,福建福州,350001
基金项目:国家自然科学基金,福建省自然科学基金,福建省科技厅科技计划 
摘    要:植被指数(VI)和地表温度(LST)是描述地表特征信息的2个重要参数.本研究采用基于VI和LST特征空间的遥感模型对2000年以来福建省三起比较严重的干旱灾害进行监测分析,结果表明:采用增强型植被指数(EVI)拟合特征空间干边方程的相关系数高于采用归一化植被指数(NDVI)拟合干边方程的相关系数.VI-LST遥感模型能客观地反映地表水分供应状况,较好地反映区域旱情的空间分布和旱情动态发展过程,干旱灾害的卫星遥感监测结果与地面气象监测结果基本一致,在福建省抗旱减灾工作中具有一定的实用价值.

关 键 词:遥感  干旱灾害  植被指数  地表温度  MODIS

Application of drought monitoring in Fujian based on VI-LST remote sensing model
ZHANG Chun-gui,CHEN Jia-jin,LIN Jing,CHEN Hui,ZHANG Xing. Application of drought monitoring in Fujian based on VI-LST remote sensing model[J]. Journal of Fujian Agricultural and Forestry University, 2008, 37(4)
Authors:ZHANG Chun-gui  CHEN Jia-jin  LIN Jing  CHEN Hui  ZHANG Xing
Abstract:The vegetation index(VI) and land surface temperature(LST) were two important parameters for describing the characteristics of land surface.The remote sensing model based on VI and LST feature space was applied to analysed the three serious drought disaster which had occurred in Fujian Province from 2000.The results showed that the correlation index of dry-edge equation in feature space used by enhanced vegetation index(EVI) was higher than the normalized difference vegetation index(NDVI).The VI-LST remote sensing model would truly describe the supply status of soil water,dynamically monitor the extension and developing process of drought disaster in region.The results of drought monitoring by remote sensing was in agreement with the results by meteorology,and the model had a good application to the operational work.
Keywords:remote sensing  drought  vegetation index  land surface temperature  MODIS
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