[1]田苗,王鹏新.降水温度指数及其在旱涝灾害监测中的应用[J].江苏农业学报,2016,(04):810-816.[doi:10.3969/j.issn.100-4440.2016.04.016]
 TIAN Miao,WANG Peng-xin.Precipitation-temperature index and its application in drought and flood disasters monitoring[J].,2016,(04):810-816.[doi:10.3969/j.issn.100-4440.2016.04.016]
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降水温度指数及其在旱涝灾害监测中的应用()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年04期
页码:
810-816
栏目:
耕作栽培·资源环境
出版日期:
2016-10-31

文章信息/Info

Title:
Precipitation-temperature index and its application in drought and flood disasters monitoring
作者:
田苗1王鹏新2
1.江苏省农业科学院农业经济与信息研究所,江苏 南京 210014;2.中国农业大学信息与电气工程学院,北京 100083
Author(s):
TIAN Miao1WANG Peng-xin2
1.Institute of Agricultural Economy and Information,Jiangsu Academy of Agricultural Sciences,Nanjing 210014, China;2.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
关键词:
降水量地表温度遥感降水温度指数旱涝灾害
Keywords:
precipitation land surface temperature remote sensing precipitation-temperature index drought and flood disasters
分类号:
TP79
DOI:
10.3969/j.issn.100-4440.2016.04.016
文献标志码:
A
摘要:
应用被动微波遥感热带降雨测量卫星(TRMM)降水量数据结合中分辨率成像光谱仪(MODIS)地表温度产品,建立了降水温度指数模型,用于旱涝灾害的监测。该指数参考了地表温度与植被指数特征空间反演地表水分的方法,同时考虑了降水量和地表温度2个因素,并将旱灾和涝灾的监测结合起来。应用水系所在区域的降水温度指数的统计值,确定了涝灾的值域范围;应用AMSR-E土壤湿度数据,确定了旱灾的值域范围。结果表明,降水温度指数旱灾监测结果与条件温度指数监测结果一致,降水温度指数涝灾监测结果与标准化降水指数监测结果一致,且与历年相关的新闻报道相符。说明降水温度指数可以用来进行旱涝灾害监测。
Abstract:
A new precipitation-temperature index (PTI) was developed based on precipitation data from passive microwave remote sensing of tropical rainfall measurement mission (TRMM) and moderate-resolution imaging spectroradiometer (MODIS) land surface temperature products in this study. The new index is not only related to precipitation changes in a region, but also gives emphasis on land surface temperature changes, aiming at integrated monitoring of both drought and flood disasters. The performance of temperature. The PTI pixels in the central Taihu Lake and Hongze Lake were applied to determine the flood line of PTI. ASMR-E soil moisture data was used to determine the drought line of PTI. The performance of temperature condition index (TCI) was consistent with PTI when applied to monitor drought, while standardized precipitation index (SPI) agreed well with PTI in monitoring flood disasters. The results indicated that PTI is capable of integrated monitoring of drought and flood disasters.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2015-11-10基金项目:国家自然科学基金项目(41401416);国防科工委高分辨率对地观测系统重大专项课题 (09-Y30B03-9001-13/15);江苏省农业科学院基本科研业务专项项目[ZX(15)4055]作者简介:田苗(1984-),女,河北保定人,博士,助理研究员,主要从事遥感技术在农业灾害中的应用研究。(Tel)025-84391304;(E-mail)tm1304207@126.com通讯作者:王鹏新,(E-mail)wangpx@cau.edu.cn
更新日期/Last Update: 2016-11-01