[1]周俊利,薛华柱,董国涛,等.基于AMSR2微波植被指数与地表温度的旱情分析[J].水土保持研究,2018,25(06):377-382,389.
　ZHOU Junli,XUE Huazhu,DONG Guotao,et al.Analysis on Drought Based on AMSR2 Microwave Vegetation Index and Surface Temperature[J].Research of Soil and Water Conservation,2018,25(06):377-382,389.
点击复制

基于AMSR2微波植被指数与地表温度的旱情分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年06期 页码: 377-382,389 栏目: 出版日期: 2018-10-26
Title:
Analysis on Drought Based on AMSR2 Microwave Vegetation Index and Surface Temperature
作者:
周俊利1,2, 薛华柱1, 董国涛2, 樊东1, 刘启兴1, 贾培培1
1. 河南理工大学 测绘与国土信息工程学院, 河南 焦作 454000;
2. 黄河水利委员会黄河水利科学研究院 水利部 黄土高原水土流失过程与控制重点实验室, 郑州 450003
Author(s):
ZHOU Junli1,2, XUE Huazhu1, DONG Guotao2, FAN Dong1, LIU Qixing1, JIA Peipei1
1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China;
2. Key Laboratory of the Loess Plateau Soil Erosion and Erosion Water Loss Process and Control, Institute of Hydraulic Research, Yellow River Water Conservancy Commission, Ministry of Water Resources, Zhengzhou 450003, China
关键词:
AMSR2微波; 植被指数; 旱情指数; 适用性
Keywords:
AMSR2 microwave; vegetation index; drought index; applicability
分类号:
P426.616;TP79
摘要:
基于微波数据全天时、全天候、不受云层影响等优点，选取了2012年7月—2016年12月的AMSR2微波数据中的10，18，36.5 GHz水平垂直极化亮温数据反演微波穿透指数MVI与微波极化差异指数MPDI18，MPDI36.5，构建了微波植被指数与光学地表温度的微波旱情指数TMVDI，TMPVDI18，TMPVDI36.5，并与光学旱情指数TVDI进行了对比，分析了微波旱情指数在黄河流域旱情监测中的适用性。结果表明：微波旱情指数时空变化趋势与光学旱情指数基本保持一致；微波旱情指数在黄河流域旱情监测中具有很好的适用性，在大部分地区微波旱情指数反演效果优于光学旱情指数；光学、微波旱情指数与降雨因素的相关分析也表明微波旱情指数与降雨的相关关系整体优于光学旱情指数与降雨的相关关系，且微波旱情指数与降雨相关关系较好的区域集中在黄河流域南部地区。
Abstract:
Based on the advantages of microwave data all day long, all-weather, and not affected by cloud, AMSR2 microwave data from July 2012 to December 2016 in 10, 18, 36.5 GHz horizontal and vertical polarization brightness temperature data inversion of microwave penetration index MVI, microwave polarization difference index MPDI18 and MPDI36.5 were used to build microwave vegetation index, and microwave drought indexes (TMVDI, TMPVDI18 and TMPVDI36.5) with the optical surface temperature, and the optical drought index TVDI was compared to microwave vegetation index and microwave drought indexes. The applicability of microwave drought index in drought monitoring in the Yellow River basin was analyzed. The results showed that the microwave drought index change tendency was consistent with optical drought index; microwave drought index had the good applicability to drought monitoring in the Yellow River Basin; microwave drought index inversion was better than optical drought index in most areas; analysis on correlation between optical and microwave drought indexes and rainfall also showed that the correlation between microwave drought index and rainfall was overall better than the correlation between optical drought index and rainfall, good correlation between microwave drought index and rainfall was found in the southern area of the Yellow River Basin.

参考文献/References:

[1] 李喆,谭德宝,秦其明,等.基于特征空间的遥感干旱监测方法综述[J].长江科学院院报,2010,27(1):37-41.
[2] 孙秀邦,王伟宏,严平,等.安徽长江以南农业干旱遥感监测研究[J].中国农学通报,2012,28(3):305-309.
[3] Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration[J]. IEEE Transactions on Geoscience & Remote Sensing,1990,28(5):940-948.
[4] 徐霞.基于TVDI指数的农业干旱遥感监测应用研究[D].乌鲁木齐:新疆大学,2009.
[5] 齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427.
[6] 陈斌,张学霞,华开,等.温度植被干旱指数(TVDI)在草原干旱监测中的应用研究[J].干旱区地理,2013,36(5):930-937.
[7] 吴孟泉,崔伟宏,李景刚.温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究[J].干旱区地理,2007,30(1):30-35.
[8] 沙莎,郭铌,李耀辉,等.我国温度植被旱情指数TVDI的应用现状及问题简述[J].干旱气象,2014,32(1):128-134.
[9] 米兆荣,张耀生,赵新全,等.NDVI和EVI在高寒草地牧草鲜质量估算和植被动态监测中的比较[J].草业科学,2010,27(6):13-19.
[10] 王正兴,刘闯,陈文波,等.MODIS增强型植被指数EVI与NDVI初步比较[J].武汉大学学报:信息科学版,2006,31(5):407-410.
[11] 陈亮,杜今阳.L波段多角度微波植被指数研究[J].遥感信息,2010(1):13-16.
[12] 李爽,宋小宁,冷佩.被动微波遥感植被指数在中国的应用研究[J].干旱区资源与环境,2014,28(8):44-49.
[13] 邱玉宝,郭华东,石利娟,等.基于amsr-e的全球陆表被动微波发射率数据集[J].遥感技术与应用,2016,31(4):809-819.
[14] Kachi M, Imaoka K, Shimoda H. Long-term observations of water and climate by AMSR-E and GCOM-W[J]. Proceedings of SPIE:The International Society for Optical Engineering, 2009,7474(1):24-26.
[15] Kawanishi T, Sezai T, Ito Y, et al. The advanced microwave scanning radiometer for the earth observing system (AMSR-E), NASDA’s contribution to the EOS for global energy and water cycle studies[J]. Geoscience & Remote Sensing IEEE Transactions on, 2003,41(2):184-194.
[16] Li L, Njoku E G, Im E, et al. A preliminary survey of radio-frequency interference over the U.S. in Aqua AMSR-E data[J]. IEEE Transactions on Geoscience & Remote Sensing, 2003,42(2):380-390.
[17] Njoku E G, Ashcroft P, Chan T K, et al. Global survey and statistics of radio-frequency interference in AMSR-E land observations[J]. IEEE Transactions on Geoscience & Remote Sensing, 2005,43(5):938-947.
[18] Kidd C. Radio frequency interference at passive microwave earth observation frequencies[J]. International Journal of Remote Sensing, 2006,27(18):3853-3865.
[19] Shi J, Jackson T, Tao J, et al. Microwave vegetation indexes derived from satellite microwave radiometers[C]//International Geoscience and Remote Sensing Symposium, 2007. Barcelona, Spain:IEEE, 2008.
[20] Shi J, Jackson T, Tao J, et al. Microwave vegetation indices for short vegetation covers from satellite passive microwave sensor AMSR-E[J]. Remote Sensing of Environment, 2008,112(12):4285-4300.
[21] 陈思宇,于惠,冯琦胜,等.基于AMSR-E数据的微波植被指数与MODIS植被指数关系研究[J].草业科学,2012,29(3):377-383.
[22] 于惠,冯琦胜,陈思宇,等.基于微波植被指数的甘南草地生物量动态监测[J].兰州大学学报:自然科学版,2011,47(4):69-74.
[23] 李爽,宋小宁,冷佩.被动微波遥感植被指数在中国的应用研究[J].干旱区资源与环境,2014,28(8):44-49.
[24] Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration[J]. IEEE Transactions on Geoscience & Remote Sensing, 1990,28(5):940-948.
[25] 王永前,施建成,刘志红,等.微波植被指数在干旱监测中的应用[J].遥感学报,2014,18(4):843-867.
[26] Gillies R R, Kustas W P, Humes K S. A verification of the "triangle" method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface[J]. International Journal of Remote Sensing, 1997,18(15):3145-3166.
[27] Carlson T. An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery[J]. Sensors, 2007,7(8):1612-1629.
[28] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of environment, 2002,79(2/3):213-224.

相似文献/References:

[1]杨勤科,罗万勤,马宏斌,等.区域水土流失植被因子的遥感提取[J].水土保持研究,2006,13(05):267.
　YANG Qing-ke,LUO Wan-qin,MA Hong-bin,et al.NDVI Extraction of Regional Soil Erosion Based on Remate Sensing[J].Research of Soil and Water Conservation,2006,13(06):267.
[2]马驰,卢玉东.重庆南部TM图像植被指数与植被覆盖度信息的关系研究[J].水土保持研究,2008,15(06):136.
　MA Chi,LU Yu-dong.The Correlation Between Percentage of Vegetation Cover and Normalized Difference Vegetation Index in the South of Chongqing City[J].Research of Soil and Water Conservation,2008,15(06):136.
[3]张佳,温仲明,杨尚斌.基于自然植被的延河流域生物量空间分布格局评估[J].水土保持研究,2010,17(03):35.
　ZHANG Jia,WEN Zhong-ming,YANG Shang-bin.Spatial Distribution Evaluation of Biomass in Yanhe River Catchment Using Natural Ecosystem as a Reference[J].Research of Soil and Water Conservation,2010,17(06):35.
[4]马延辉,林辉,孙华.湖南省主要森林类型植被指数动态变化分析[J].水土保持研究,2010,17(03):217.
　MA Yan-hui,LIN Hui,SUN Hua.Variation Analysis of Different Forest Types Vegetation Index in HU’nan Province[J].Research of Soil and Water Conservation,2010,17(06):217.
[5]赵广敏,李晓燕,李宝毅.基于地表温度和植被指数特征空间的农业干旱遥感监测方法研究综述[J].水土保持研究,2010,17(05):245.
　ZHAO Guang-min,LI Xiao-yan,LI Bao-yi.An Overview on Agricultural Drought Montoring Methods Based on Land Surface Temperature and Vegetation Index Feature Space[J].Research of Soil and Water Conservation,2010,17(06):245.
[6]陆广勇,杨勤科,王海江.基于MODIS-NDVI时序数据的黄土丘陵区土地覆盖分类研究[J].水土保持研究,2011,18(02):112.
　LU Guang-yong,YANG Qin-ke,WANG Hai-jiang.Land Cover Classification in Loess Hilly and Gully Region Using Multi-temporal MODIS-NDVI Data[J].Research of Soil and Water Conservation,2011,18(06):112.
[7]何磊,唐姝娅,苗放,等.岷江上游典型流域叶面积指数的遥感模型及反演[J].水土保持研究,2010,17(01):218.
　HE Lei,TANG Shu-ya,MIAO Fang,et al.Remote Sensing Model and Inversion of Leaf Area Index in the Typical Area of Minjiang Valley Upriver[J].Research of Soil and Water Conservation,2010,17(06):218.
[8]刘倩楠,欧阳志云,李爱农,等.重庆市森林植被生物量和碳储量的空间分布特征研究[J].水土保持研究,2016,23(06):221.
　LIU Qiannan,OUYANG Zhiyun,LI Ainong,et al.Study on Spatial Differentiation Characteristics of Forest Vegetation Biomass and Carbon Stock in Chongqing City[J].Research of Soil and Water Conservation,2016,23(06):221.
[9]王蕾钦,王飞,李朋飞.相似降水年组下黄土高原植被恢复与土壤水分变化过程与空间特征分析[J].水土保持研究,2017,24(06):179.
　WANG Leiqin,WANG Fei,LI Pengfei.Relationships Between Vegetation Restoration and Soil Moisture on the Loess Plateau[J].Research of Soil and Water Conservation,2017,24(06):179.
[10]张巧凤,刘桂香,于红博,等.锡林郭勒草原蒸散发月季动态及相关因子分析[J].水土保持研究,2017,24(03):164.
　ZHANG Qiaofeng,LIU Guixiang,YU Hongbo,et al.Monthly and Seasonal Dynamics of ET in Xilingol Steppe and Related Factors Analysis[J].Research of Soil and Water Conservation,2017,24(06):164.

备注/Memo

收稿日期:2018-12-08;改回日期:2018-12-23。
基金项目:国家重点研发计划（2016YFC0402400）；国家自然科学基金（51779099，41301496）；中央级公益性科研院所基本科研业务费专项（HKY-JBYW-2017-10）；河南省科技攻关项目（172102110268）
作者简介:周俊利(1993-),男,河南新乡人,硕士研究生,研究方向为3S技术理论与应用。E-mail:lariely@163.com
通讯作者:董国涛(1982-),男,山东青州人,博士,高级工程师,主要从事水文水资源遥感方面研究。E-mail:dongguotao@hky.yrcc.gov.cn

更新日期/Last Update: 1900-01-01