资源研究方法

基于MODIS的湖南省农业干旱监测模型

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  • 1. 湖南师范大学 GIS研究中心, 长沙 410081;
    2. 湖南农业大学 资源环境学院, 长沙 410128;
    3. 北京师范大学 减灾与应急管理研究院, 北京 100875;
    4. 湖南省气候中心, 长沙 410007

收稿日期: 2011-11-21

  修回日期: 2012-01-06

  网络出版日期: 2012-10-20

基金资助

湖南省自然科学基金"湖南省季节性干旱MODIS遥感监测与预警方法研究"(10JJ3022);湖南师范大学校级重点学科地图学与地理信息系统;湖南省高校科技创新平台开放基金(10K042);湖南省重点学科(2008001);湖南省研究生科研创新项目(CX2011B213)。

Agricultural Drought Monitoring Model Based on MODIS Data in Hunan Province

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  • 1. The GIS Research Center, Hunan Normal University, Changsha 410081, China;
    2. College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China;
    3. Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;
    4. Hunan Climate Center, Changsha 410007, China

Received date: 2011-11-21

  Revised date: 2012-01-06

  Online published: 2012-10-20

摘要

诸多遥感干旱监测指数已被成功应用于中国北方地区,但在南方湿润地区的应用则相对较少。以湖南省为研究区,结合遥感(RS)、地理信息系统(GIS)技术,利用MODIS增强植被状态指数(EVCI)和温度状态指数(TCI)的复合信息,并根据EVCI和TCI对干旱信息的敏感程度不同,赋予不同的权重值,建立干旱状态指数(DCI)遥感监测模型,并将该模型应用于湖南省农作物的旱情监测,得到了湖南省耕地旱情等级的空间分布图。通过与该省97个气象台站同期获取的综合气象干旱指数(CI)的相关分析与验证,表明DCICI指数的线性相关显著,EVCITCI的权重分别取值0.4和0.6时为最佳组合,并论证了该模型适宜南方地区的干旱监测。

本文引用格式

杨波, 马苏, 王彬武, 李京, 廖玉芳 . 基于MODIS的湖南省农业干旱监测模型[J]. 自然资源学报, 2012 , (10) : 1788 -1796 . DOI: 10.11849/zrzyxb.2012.10.016

Abstract

Some remote sensing drought indices are being widely used in northern China, but seldom in humid regions of southern China. This takes takes Hunan Province as a study area. Based on RS, GIS and additive combination of Enhanced Vegetation Condition Index (EVCI) and Temperature Condition Index(TCI) from MODIS data, it gave different weights according to the sensitive degree of drought information and established Drought Condition Index (DCI) model. And then the spatial distribution maps of agricultural drought situation grades were obtained. Finally, based on the meteorological drought composite index (CI) from 97 meteorological stations, the correlation was analyzed. The results showed that the linear correlation between drought situation-monitoring model, which was set up on LST and EVI, and CI was significant, the higher weight was assigned to the TCI in the DCI model. And the DCI based on remote sensing data to monitor drought dynamic change still has some reference value.

参考文献

[1] Willhite D A. Drought as a natural hazard: Concepts and definitions //Wilhite D A. Drought: A Global Assessment. London & New York: Routledge, 2000: 3-18.
[2] 国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社, 1949-2005.[National Bureau of Statistics. China Statistics Yearbook. Beijing: China Statistics Press, 1949-2005.]
[3] 史培军, 李宁, 刘婧. 探索发展与协调之路——从2006年达沃斯国际减灾会议看中国发展与减灾协调对策[J]. 自然灾害学报, 2006, 15(6): 1-8.[SHI Pei-jun, Li Ning, LIU Jing. Discussion on harmonization way of development and disaster reduction: harmonization strategies of development and disaster reduction in China based on "The International Disaster Reduction Conference, Davos, 2006". Journal of Natural Disasters, 2006, 15(6): 1-8.]
[4] 李晖. 湖南农业持续发展的生存资源优度评价[J]. 地理科学进展, 2000, 19(1): 41-46.[LI Hui. Evaluation on grades of subsistent resources for sustainable agricultural development in Hunan Province. Progress in Geography, 2000, 19(1): 41-46.]
[5] 袁华斌, 李景保. 湖南农业干旱灾害特征与水资源高效利用途径[J]. 江西农业学报, 2006, 18(5): 151-152.[YUAN Hua-bin, LI Jing-bao. The characteristic of agricultural droughts disaster and the model of effective utilization of water resource in Hunan Province. Acta Agriculturae Jiangxi, 2006, 18(5): 151-152.]
[6] 施雅风, 张祥松. 气候变化对西北干旱区地表水资源的影响和未来趋势[J]. 中国科学B辑, 1995, 25(9): 968-977.[SHI Ya-feng, ZHANG Xiang-song. Impact of climate change on surface water resource and tendency in the future in the arid zone of northwestern China. Science in China Series B, 1995, 25(9): 968-997.]
[7] 王静爱, 毛佳, 贾慧聪. 中国水旱灾害危险性的时空格局研究[J]. 自然灾害学报, 2008, 17(1): 115-121.[WANG Jing-ai, MAO Jia, JIA Hui-cong. On spatial-temporal patterns of flood and drought hazards in China. Journal of Natural Disasters, 2008, 17(1): 115-121.]
[8] Richand R, Hein J R. A review of twentieth century drought indices used in the United States [J]. Bulletin of American Meteorological Soceity, 2002, 83(8): 1149-1165.
[9] Quiring S M, Papakryiakou T N. An evaluation of agricultural drought indices for the Canadian Prairies [J]. Agricultural and Forest Meteorology, 2003, 118: 49-62.
[10] 王劲松, 郭江勇, 倾继祖. 一种K干旱指数在西北地区春旱干旱分析中的应用[J]. 自然资源学报, 2007, 22(5): 709-717.[WANG Jin-song, GUO Jiang-yong, QING Ji-zu. Application of a kind of K drought index in the spring drought analysis in Northwest China. Journal of Natural Resources, 2007, 22(5): 709-717.]
[11] Jinyoung R, Jungho I, Gregory J. Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data [J]. Remote Sensing of Environment, 2010, 114: 2875-2887.
[12] 刘志明, 张柏, 晏明. 土壤水分与干旱遥感研究的进展与趋势[J]. 地球科学进展, 2003, 18(4): 576-581.[LIU Zhi-ming, ZHANG Bai, YAN Ming. Some research advances and trends on soil moisture and drought monitoring by remote sensing. Advance in Earth Sciences, 2003, 18(4): 576-581.]
[13] 刘振华, 赵英时. 一种改进的遥感热惯量模型初探[J]. 中国科学院研究生学报, 2005, 22(3): 380-385.[LIU Zhen-hua, ZHAO Ying-shi. An improved thermal inertia model. Journal of the Graduate School of the Chinese Academy of Science, 2005, 22(3): 380-385.]
[14] 詹雅婷, 魏鸣, 闵爱莲. 2008年冬-2009年春辽宁省干旱的遥感监测与大气结构分析[J]. 自然资源学报, 2010, 25(6): 952-958.[ZHAN Ya-ting, WEI Ming, MIN Ai-lian. Remote sensing monitoring and atmospheric structure analysis of the drought in Liaoning Province from late 2008 to early 2009. Journal of Natural Resources, 2010, 25(6): 952-958.]
[15] 田国良. 土壤水分的遥感监测方法[J]. 环境遥感, 1991, 6(2): 89-99.[TIAN Guo-liang. Methods for monitoring soil moisture using remote sensing technique. Journal of Remote Sensing, 1991, 6(2): 89-99.]
[16] 陈维英, 肖乾广, 盛永伟. 距平植被指数在1992年特大干旱监测中的应用[J]. 环境遥感, 1994, 9(2): 106-112.[CHEN Wei-ying, XIAO Qian-guang, SHENG Yong-wei. The application of distance of average NDVI in extreme drought in 1992. Environmental Remote Sensing, 1994, 9(2): 106-112.]
[17] Ramesh P Singh, Sudipa Roy, Kogan F. Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India [J]. Remote Sensing, 2003, 24(22): 4393-4402.
[18] 齐述华, 李贵才, 王长耀. 利用MODIS数据产品进行全国干旱监测的研究[J]. 水科学进展, 2005, 15(1): 56-61.[QI Shu-hua, LI Gui-cai, WANG Chang-yao. Study on monitoring drought in China with MODIS product. Advances in Water Science, 2005, 15(1): 56-61.]
[19] 王正兴, 刘闯, Huete A R. 植被指数研究进展: 从AVHRR-NDVI到MODIS-EVI [J]. 生态学报, 2003, 23(5): 979-987.[WANG Zheng-xing, LIU Chuang, HUETE A R. From AVHRR-NDVI to MODIS-EVI: Advances in vegetation index research. Acta Ecologica Sinica, 2003, 23(5): 979-987.]
[20] 卢远, 华璀, 韦燕飞. 利用MODIS数据进行旱情动态监测研究[J]. 地理与地理信息科学, 2007, 23(3): 55-58.[LU Yuan, HUA Cui, WEI Yan-fei. Dynamic drought monitoring using MODIS product. Geography and Geo-Information Science, 2007, 23(3): 55-58.]
[21] Ji L, Peters A J. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices [J]. Remote Sensing of Environment, 2003, 87: 85-98.
[22] Wan Z, Wang P, Li X. Using MODIS land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA [J]. International Journal of Remote Sensing, 2004, 25: 61-72.
[23] 刘兰芳, 刘盛和, 刘沛林. 湖南省农业旱灾脆弱性综合分析与定量评价[J]. 自然灾害学报, 2002, 11(4): 78-83.[LIU Lan-fang, LIU Sheng-he, LIU Pei-lin. Synthetic analysis and quantitative estimation of the agricultural vulnerability to drought disaster in Hunan Province. Journal of Natural Disasters, 2002, 11(4): 78-83.]
[24] 邹旭凯, 任国玉, 张强. 基于综合气象干旱指数的中国干旱变化趋势研究[J]. 气候与环境研究, 2010, 15(4): 371-378.[ZOU Xu-kai, REN Guo-yu, ZHANG qiang. Droughts variations in China based on a compound index of meteorological drought. Climatic and Environmental Research, 2010, 15(4): 371-378.]
[25] 张强, 邹旭恺, 肖风劲. 气象干旱等级GB/T20481-2006[S]. 北京: 中国标准出版社, 2006: 17.[ZHANG Qiang, ZOU Xu-kai, XIAO Feng-jin. Meteorological Drought Level GB/T20481-2006. Beijing: Chinese Standard Press, 2006: 17.]
[26] Holben B. Characteristics of maximum-value composite images from temporal AVHRR data [J]. International Journal of Remote Sensing, 1986, 7: 1417-1434.
[27] 覃志豪, 高懋芳, 秦晓敏. 农业旱灾监测中的地表温度遥感反演方法——以MODIS数据为例[J]. 自然灾害学报, 2005, 14(4): 64-71.[QIN Zhi-hao, GAO Mao-fang, QIN Xiao-min. Methodology to retrieve land surface temperature from MODIS data for agricultural drought monitoring in China. Journal of Natural Disasters, 2005, 14(4): 64-71.]
[28] Kogan F N. Drought of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data [J]. Bulletin of American Meteorological Society, 1995, 76: 655-668.
[29] Kogan F N. Application of vegetation index and brightness temperature for drought detection [J]. Advanced Space Research, 1995, 15: 91-100.
[30] Unganai L S, Kogan F N. Drought monitoring and corn yield estimation in southern Africa from AVHRR data [J]. Remote Sensing of Environment, 1998, 63: 219-232.
[31] 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): 213-224.
[32] Goetz S J. Multisensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site [J]. International Journal of Remote Sensing, 1997, 18(15): 71-94.
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