准全球陆表干旱严重程度的多传感器遥感监测方法研究

陈洪萍; 贾根锁; 冯锦明; 董燕生; 张安治

doi:10.3878/j.issn.1006-9895.2013.13219

准全球陆表干旱严重程度的多传感器遥感监测方法研究

doi: 10.3878/j.issn.1006-9895.2013.13219

1.
中国科学院大气物理研究所东亚区域气候—环境重点实验室, 北京100029;中国科学院大学, 北京100049
2.
中国科学院大气物理研究所东亚区域气候—环境重点实验室, 北京100029
3.
北京市农林科学院北京农业信息技术研究中心, 北京100097

基金项目: 国家重点基础研究发展计划（973 计划）项目2012CB956202，中科院战略性先导科技专项XDA05090200

计量
- 文章访问数: 2133
- HTML全文浏览量: 1
- PDF下载量: 2538
- 被引次数: 0
出版历程
- 收稿日期: 2013-07-19
- 修回日期: 2013-12-26

Monitoring Global Land Surface Drought Severity by Multi-Sensors Remote Sensing Data

1.
Key Laboratory of Regional Climate-Environment Research for Temperate East Asia (RCE-TEA), Chinese Academy of Sciences, Beijing 100029;University of Chinese Academy of Sciences, Beijing 100049
2.
Key Laboratory of Regional Climate-Environment Research for Temperate East Asia (RCE-TEA), Chinese Academy of Sciences, Beijing 100029
3.
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097

摘要

摘要: 在全球气候变暖的背景下，持续的干旱事件将对生态系统和人类社会产生不利影响。尽管存在多源卫星遥感资料及多种干旱指数，然而区域和全球尺度干旱事件的监测仍具有挑战。采用TRMM（Tropical RainfallMeasuring Mission）数据量化降水异常、MODIS（Moderate Resolution Imaging Spectroradiometer）归一化植被指数（Normalized Difference Vegetation Index，NDVI）和陆表温度（Land Surface Temperature，LST）数据表征植被生长异常，构建了一种兼顾降水异常和植被生长状况异常的多传感器陆表干旱严重程度指数（Multi-sensorsDrought Severity Index，MDSI）。结果表明：MDSI 能够准确检测准全球范围（50°S～50°N，0°～180°～0°）的气象干旱事件，如亚马逊流域2005 和2010 年干旱、中国川渝地区2006 年干旱、中国云南2010 年干旱、非洲东部2011 年干旱、2012 年美国中部干旱等；MDSI 与PDSI（Palmer Drought Severity Index）呈现出大致相同的干湿空间格局，并且MDSI 有助于湿润地区干旱程度的检测。
- 干旱 /
- 遥感 /
- TRMM多传感陆表 /
- 干旱严重指数
Abstract: In the context of global warming, persistent droughts may cause adverse impacts on ecosystems and human societies. Although several multi-source satellite remote sensing records and types of drought indices exist, detection of droughts at regional to global scales remains a challenge. On the basis of precipitation data of the Tropical Rainfall Measuring Mission (TRMM) used to quantify rainfall anomalies and the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index and land surface data used to reflect vegetation growth anomalies, this study develops a Multi-sensor Drought Severity Index (MDSI) to accurately monitor meteorological drought events at almost the global scale (50°S-50°N, 0°-180°-0°). These events include the 2005 and 2010 droughts in the Amazon; the 2006 drought in Chongqing, China; the 2010 drought in Yunnan, China; the 2011 drought in the eastern Africa; and the 2012 drought in the central parts of America. The spatial distribution patterns of the drought and flood events of the MDSI are essentially the same as those of the Palmer Drought Severity Index (PDSI). Therefore, the MDSI is useful for detecting drought conditions in humid areas.
- Drought /
- Remote sensing /
- Tropical Rainfall Measuring Mission (TRMM) /
- Multi-sensors Drought Severity Index (MDSI)

HTML全文

参考文献(55)

[1]	Ashcroft M B, Chisholm L A, French K O. 2009. Climate change at the landscape scale: Predicting fine-grained spatial heterogeneity in warming and potential refugia for vegetation [J]. Global Change Biology, 15:656-667.
[2]	Asia Times.2005.Grim reaping for Thai farmers: A news report on Southeast Asia [OL]. http://www.atimes.com/atimes/Southeast_Asia/GD29Ae03.html [2012-11-26].
[3]	Atkinson P M, Dash J, Jeganathan C. 2011. Amazon vegetation greenness as measured by satellite sensors over the last decade [J]. Geophys.Res. Lett.,38: L19105, doi: 10.1029/2011GL049118.
[4]	Brown J F, Wardlow B D, Tadesse T, et al. 2008.The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation [J]. GIScience and Remote Sensing, 45:16-46.
[5]	Bureau of Meteorology. 2007. Special Climate Statement 14: Six years of widespread drought in southern and eastern Australia November 2001-October 2007 [OL]. http://www.bom.gov.au/climate/current/statements/scs14.pdf. [2012-11-26].
[6]	Bureau of Meteorology. 2009. Special Climate Statement 19: A prolonged spring heat wave over central and south-eastern Australia [OL]. http://www.bom.gov.au/climate/current/statements/scs19b.pdf. [2012-11-26].
[7]	Bureau of Meteorology. 2012. Special Climate Statement 38: Australia's wettest two-year period on record; 2010-2011 [OL]. (2012-11-26),http://www.bom.gov.au/climate/current/statements/scs38.pdf.
[8]	陈洪滨, 范学花. 2011. 2010 年极端天气和气候事件及其他相关事件的概要回顾 [J]. 气候与环境研究, 16 (6): 789-804. Chen Hongbin, Fan Xuehua.2011. Some extreme events of weather, climate and related phenomena in 2010 [J]. Climatic and Environmental Research (in Chinese), 16 (6): 789-804.
[9]	Chen M Y, Xie P P, Janowiak J E, et al. 2002.Global land precipitation: A 50-yr monthly analysis based on gauge observations [J]. J. Hydrometeor.,3: 249-266.
[10]	Cook E R, Seager R, Cane M A, et al. 2007. North American drought:Reconstructions, causes, and consequences [J]. Earth-Sci. Rev., 81:93-134.
[11]	Dai A G, Trenberth K E, Qian T T. 2004. A global data set of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming [J]. J. Hydrometeor., 5: 1117-1130.
[12]	Dai A G. 2011.Drought under global warming: A review [J]. Wiley Interdisc.Rev., 2: 45-65.
[13]	Flannigan M D, Wotton B M, Ziga S. 1998. A study on the interpolation of fire danger using radar precipitation estimates [J]. Int. J. Wild. Fire, 8:217-225.
[14]	Gommes R, Petrassi F. 1994. Rainfall Variability and Drought in Sub-Saharan Africa Since 1960 [M]. Rome: Food and Agriculture Organization of the United Nations, 100pp.Hopkin M. 2005. Amazon hit by worst drought for 40 years [J]. Nature News, doi: 10.1038/news051010-8.
[15]	Horridge M, Madden J, Wittwer G. 2005. The impact of the 2002-2003 drought on Australia [J].J. Policy Mode., 27: 285-308.
[16]	黄荣辉, 刘永, 王林, 等. 2012. 2009 年秋至2010 年春我国西南地区严重干旱的成因分析 [J]. 大气科学, 36 (3): 443-457, doi:10.3878/j.issn.1006.9895.2001.11101. Huang Ronghui, Liu Yong, Wang Lin, et al.2012. Analyses of the causes of severe drought occurring in Southwest China from the fall of 2009 to the spring of 2010 [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 36 (3): 443-457.
[17]	Huete A, Didan K, Miura T, et al. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices [J]. Remote Sens.Environ., 83: 195-213.
[18]	Huffman G J, Adler R B, Rudolf U, et al. 1995. Global precipitation estimates based on a technique for combining satellite-based estimates,rain-gauge analysis, and NWP model precipitation information [J]. J.Climate, 8 (5): 1284-1295.
[19]	IPCC. 2007. Climate Change 2007: The Physical Science Basis [M]//Contribution of Working Groups I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. New York: Cambridge University, 106pp.Ji L, Peters A J. 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices [J]. Remote Sens.Environ., 87: 85-98.
[20]	Jones P D, Hulme M, Brifta K R, et al. 1996. Summer moisture accumulation over Europe in the Hadley center generalcirculation model based on the Palmer drought severity index [J]. Int. J. Climatol., 16 (2):155-172.
[21]	Kogan F N. 1990. Remote sensing of weather impacts on vegetation in nonhomogeneous area [J]. Int. J. Remote Sens., 11: 1405-1420.
[22]	Kogan F N. 1995. Application of vegetation index and brightness temperature for drought detection [J]. Adv. Space Res., 15: 91-100.
[23]	Lawrimore J, Stephens S. 2003. Climate of 2002 annual review [OL].http://www.ncdc.noaa.gov/oa/climate/research/2002/ann/ann02.html[2012-11-26].
[24]	Lewis S L, Brando P M, Phillips O L, et al. 2011. The 2010 Amazon drought [J]. Science, 331: 554.
[25]	李威, 朱艳峰. 2007. 2006 年全球重大天气气候事件概述 [J]. 气象, 33 (4):108-111. Li Wei, Zhu Yanfeng. 2007. Global significant climate events in 2006 [J]. Meteorological Monthly (in Chinese), 33 (4): 108-111.
[26]	李威, 蔡锦辉, 郭艳君, 等. 2010. 2009 年全球重大天气气候事件概述[J]. 气象, 36 (4): 106-110.
[27]	Li Wei, Cai Jinhui, Guo Yanjun, et al.2010.Global significant weather and climate events in 2009 [J].Meteorological Monthly (in Chinese), 36 (4): 106-110.
[28]	李小燕. 2003. 2002 年全球重大气候事件概述 [J]. 气象, 29 (4): 28-31.Li Xiaoyan. 2003. Significant climate events in the world during 2002 [J].Meteorological Monthly (in Chinese), 29 (4): 28-31.
[29]	梁潇云, 郭艳君. 2008. 2007 年全球重大天气气候事件概述 [J]. 气象, 34 (4): 113-117. Liang Xiaoyun, Guo Yanjun. 2008. Global significant climate events in 2007 [J]. Meteorological Monthly (in Chinese), 34 (4):113-117.
[30]	Lyon B, DeWitt D G. 2012.A recent and abrupt decline in the East African long rains [J]. Geophys. Res. Lett., 39: L02702, doi: 10.1029/2011GL050337.
[31]	McKee T B, Doesken N J, Kleist J. 1993. The relationship of drought frequency and duration to time scales [C] // Proceedings of the 8th Conference on Applied Climatology. Anaheim, CA, AMS, 179-184.
[32]	Mishra A K, Singh V P. 2010. A review of drought concepts[J].J.Hydrol.,391: 202-216.
[33]	Mu Q, Zhao M, Kimball J S, et al. 2012. A remotely sensed global terrestrial drought severity index [J]. Amer. Meteor. Soc., 94: 83-98.
[34]	NBS. 2005. China Statistical Yearbook 2004 [M]. Beijing: China Statistics Press, 1011pp.
[35]	Nicholls, N. 2004. The changing nature of Australian droughts. Climatic Change, 63, 323-336.
[36]	Ozger M, Mishra A K, Singh V P. 2009. Low frequency drought variability events associated with climate indices [J]. J. Hydrol., 364: 152-162.
[37]	Palmer W C. 1965. Meteorological Drought [M]. Washington DC: US Weather Bureau, 58pp.
[38]	Pandey S, Bhandari H, Hardy B. 2007. Economic Costs of Drought and Rice Farmers’ Coping Mechanisms: A Cross-Country Comparative O L, Aragao L E O C, Lewis S L, et al. 2009. Drought sensitivity of the Amazon rainforest [J]. Science, 323: 1344-1347.
[39]	Price J C. 1985. On the analysis of thermal infrared imagery: The limited utility of apparent thermal inertia [J]. Remote Sens. Environ., 18: 59-93.
[40]	Quiring S M. 2009. Monitoring drought: An evaluation of meteorological drought indices [J]. Geogr. Compass, 3: 64-88.
[41]	Rhee J Y, Im J, Carbone G J. 2010. Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data [J]. Remote Sens. Environ., 114: 2875-2887.
[42]	Sandholt I, Rasmussen K, Andersen J. 2002. A simple interpretation of the surface temperature-vegetation index space for assessment of surface moisture status [J]. Remote Sens. Environ.,79: 213-224.
[43]	Shukla S, Steinemann A C, Lettenmaier D P. 2011. Drought monitoring for Washington State: Indicators and applications [J]. J. Hydrometeor., 12:66-83.
[44]	司东, 李修仓, 任福民, 等. 2012. 2011 年全球重大天气气候事件及其成因 [J]. 气象, 38 (4): 480-489. Si Dong, Li Xiucang, Ren Fumin, et al.2012. Global significant weather and climate events in 2011 and the possible causes [J]. Meteorological Monthly (in Chinese), 38 (4): 480-489.
[45]	Simelton E, Fraser E D G, Termansen M, et al. 2009. Typologies of crop-drought vulnerability: An empirical analysis of the socioeconomic factors that influence the sensitivity and resilience to drought of three major food crops in China (1961-2001) [J]. Environ. Sci. Policy, 12 (4):438-452.
[46]	Vicente-Serrano S M, Gouveia C, Camarero J J, et al. 2013.Response of vegetation to drought time-scales across global land biomes [J]. Proc.Natl. Acad. Sci. USA, 110: 52-57.
[47]	Wan Z, Dozier J. 1996. A generalized split-window algorithm for retrieving land-surface temperature from space [J]. IEEE Trans. Geosc. Remote Sens., 34: 892-905.
[48]	王小玲, 郭艳君. 2009. 2008 年全球重大天气气候事件概述 [J]. 气象, 35(4): 108-111. Wang Xiaoling, Guo Yanjun. 2009. Global significant weather and climate events in 2008 [J]. Meteorological Monthly (in Chinese), 35 (4): 108-111.
[49]	Watkins A B. 2005. The Australian drought of 2005 [J]. WMO Bulletin, 54 (3): 156-162.
[50]	Wells N, Goddard S, Hayes M J. 2004. A self-calibrating palmer drought severity index [J]. J. Climate, 17: 2335-2351.
[51]	Wilhite D A. 2000. Drought as a Natural Hazard: Concepts and Definitions [M]. London: Routledge, 16pp.
[52]	Xu L, Samanta A, Costa M H, et al. 2011. Wide spread decline in greenness of Amazonian vegetation due to the 2010 drought [J]. Geophys. Res. Lett.,38: L07402, doi: 10.1029/2011GL046824.
[53]	Zhang A Z, Jia G S. 2013. Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data [J]. Remote Sens.Environ., 134: 12-23.
[54]	Zhao M S, Running S W. 2010. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009 [J]. Science,329: 940-943.
[55]	Zhao M S, Running S W, Nemani R R. 2006. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses [J]. J.Geophys.Res., 111: G01002, doi: 10.1029/2004JG000004.