| NDVI〖CDF*2〗ST特征空间及干湿边变化特征 |
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| 引用本文： | 张红卫,陈怀亮,申双和,周官辉,余卫东.NDVI〖CDF*2〗ST特征空间及干湿边变化特征[J].气象科技,2010,38(1):86-95. |
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| 作者姓名： | 张红卫 陈怀亮 申双和 周官辉 余卫东 |
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| 作者单位： | 1 河南省气象科学研究所，郑州 450003； 2 河南省新乡市气象局，新乡 453000；3 南京信息工程大学应用气象学院，南京 210044;河南省气象科学研究所，郑州 450003;南京信息工程大学应用气象学院，南京 210044;河南省新乡市气象局，新乡 453000;河南省气象科学研究所，郑州 450003 |
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| 基金项目： | “十一五”国家科技支撑计划项目(2006BAD04B01)、风云三号卫星遥感开发与应用项目 (20070806FiDAFS101)、河南省气象局重点科研项目(Z200506、Z2008019、Z200806)联合资助 |
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| 摘 要： | 为了更好地解释归一化植被指数（NDVI）和地表温度（ST）的各种存在关系及其相互转换过程,以及监测和评价陆表变化,尤其是根据描述地表植被覆盖和土壤水分含量的参数,解释NDVI达到饱和以后的情况,以便更有效地应用,该文从归一化植被指数和地表温度之间机理出发,分析了植被指数与地表温度之间关系的研究以及NDVI-ST特征空间的干旱监测模型应用情况。结果表明,在高植被覆盖度情况下NDVI-ST特征空间拟合随意性增大,影响干旱的监测精度;同时多种因素对下垫面温度及植被指数影响的不确定性也影响干旱及植被的监测精度。今后的研究当中要针对不同时相、不同分辨率数据,分析不同植被覆盖类型和水分状况条件下NDVI-ST空间的变化规律,进一步研究修正NDVI-ST空间特征及干湿边（冷热边）的变化特征及在干旱监测中的应用,特别是高植被覆盖度下的修正应用,使ST-NDVI特征空间方法在干旱监测中发挥更好的作用。
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| 关 键 词： | NDVI-ST 特征空间 干湿边 |
| 修稿时间： | 2/6/2009 12:00:00 AM |
Spatial Analysis of NDVI ST Characteristics and Methods of Defining Dry Wet Edges |
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| Zhang Hongwei,Chen Huailiang,Shen Shuanghe,Zhou Guanhui and Yu Weidong.Spatial Analysis of NDVI ST Characteristics and Methods of Defining Dry Wet Edges[J].Meteorological Science and Technology,2010,38(1):86-95. |
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| Authors: | Zhang Hongwei Chen Huailiang Shen Shuanghe Zhou Guanhui and Yu Weidong |
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| Institution: | 1 Henan Institute of Meteorology,Zhengzhou 450003; 2 Xinxiang Meteorological Bureau,Henan Province,Xinxiang 453000; 3 Institute of Applied Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044) |
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| Abstract: | For the effective application and better understanding of correlation between NDVI （Normalized Difference Vegetation Index） and ST （Surface Temperature） and the conversion process between them to better monitor and evaluate the land cover change,especially for explaining the situation with NDVI being saturated based on the parameters of the land cover and soil moisture inversion,the relation of NDVI to ST and the application of different characteristic-space NDVI-ST models in drought monitoring are analyzed. The results indicate that the arbitrariness in the simulation of the NDVI-ST characteristic space increased when the land cover was high,which influences the accuracy of drought monitoring. The uncertainty of the effects of multi-factors on ST and NDVI also affected the accuracy of drought monitoring. Suggestions are given：the analysis of the variation regularities of the NDVI-ST space under different land cover and different moisture conditions should be based on the multi-temporal remote sensing and different resolution images and focused on the modification of the models of the NDVI-ST characteristic space and the characteristic changes of dry-wet edges applied in drought monitoring,especially in the higher land cover situation,so to best facilitate the application of the NDVI-Ts characteristic space method in drought monitoring. |
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| Keywords: | NDVI surface temperature characteristic space dry-wet edge |
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