4种遥感干旱指数在内蒙古东部干旱监测中的对比研究

doi:10.19741/j.issn.1673-4831.2019.0130

生态与农村环境学报 ›› 2020, Vol. 36 ›› Issue (1): 81-88.doi: 10.19741/j.issn.1673-4831.2019.0130

4种遥感干旱指数在内蒙古东部干旱监测中的对比研究

曲学斌^1,2, 吴昊¹, 越昆³, 刘朋涛³, 李翕然⁴

1. 呼伦贝尔市气象局, 内蒙古呼伦贝尔 021008;
2. 中国气象局兰州干旱气象研究所/甘肃省干旱气候变化与减灾重点实验室/中国气象局干旱气候变化与减灾重点实验室, 甘肃兰州 730020;
3. 内蒙古自治区生态与农业气象中心, 内蒙古呼和浩特 010051;
4. 莫力达瓦达斡尔族自治旗气象局, 内蒙古呼伦贝尔 162850

收稿日期:2019-03-07 发布日期:2020-01-17
作者简介:曲学斌(1988-),男,内蒙古呼伦贝尔人,工程师,硕士,主要从事应用气象研究。E-mail:qxbtd@qq.com
基金资助:
干旱气象科学研究基金（IAM201706）；中国气象局气候变化专项（CCSF201721）；中国气象局预报员专项（CMAYBY2018-013）

Comparison of 4 Remote Sensing Drought Indexes for Drought Monitoring in Eastern Inner Mongolia

QU Xue-bin^1,2, WU Hao¹, YUE Kun³, LIU Peng-tao³, LI Xi-ran⁴

1. Hulun Buir Meteorological Bureau, Hulun Buir 021008, China;
2. Lanzhou Institute of Arid Meteorology, China Meteorological Administration/Key Laboratory of Arid Climate Change and Reducing Disaster of Gansu Province/Key Laboratory of Arid Climate Change and Reducing Disaster of China Meteorological Administration, Lanzhou 730020, China;
3. Inner Mongolia Ecology and Agro-meteorology Center, Hohhot 010051, China;
4. Morin Dawa Meteorological Bureau of Daur Autonomous Banner, Hulun Buir 162850, China

Received:2019-03-07 Published:2020-01-17

摘要/Abstract

摘要： 内蒙古东部是干旱灾害的高发区，对遥感干旱监测技术的需求十分迫切。为研究不同遥感干旱指数在内蒙古东部地区的适用性，利用2016和2017年4月下旬至9月下旬内蒙古东部地区MODIS数据，计算出温度状态指数（temperature condition index，TCI）、植被状态指数（vegetation condition index，VCI）、温度植被干旱指数（temperature vegetation dryness index，TVDI）和植被供水指数（vegetation supply water index，VSWI）4种常用遥感干旱指数，并将其与气象干旱综合指数（meteorological drought composite index，MCI）和土壤相对湿度数据进行比较。结果表明：受牧草返青期波动影响，生长季初期TCI和VCI对遥感干旱监测结果偏差较大，生长季中、后期各遥感干旱指数对干旱的描述基本一致。VCI与MCI和土壤相对湿度的相关性最高。MCI与VCI和VSWI在中、低覆盖度草原的一致性较高，而MCI与TCI在中、高覆盖度草原的一致性较高。结合各遥感干旱指数特点，建议内蒙古东部在生长季初期首选VSWI进行遥感干旱监测，而在生长季中、后期选择VCI或TCI进行遥感干旱监测。

关键词: 干旱, 遥感, 干旱指数, 内蒙古东部

Abstract: The eastern part of Inner Mongolia is a high-risk area for drought disasters, it is necessary to use remote sensing to monitor drought conditions. In order to study the applicability of different remote sensing drought indices in eastern Inner Mongolia, MODIS data in the eastern part of Inner Mongolia from late April to late September 2016 were used to calculate four commonly used remote sensing drought indices:temperature condition index (TCI),vegetation condition index (VCI),temperature vegetation drought index (TVDI) and vegetation supply water index (VSWI), and compared with meteorological drought composite index (MCI) and soil relative humidity data. The results show that TCI and VCI had a large deviation in drought monitoring at the beginning of the growing season due to the different reviving periods. The drought indices were basically consistent with drought in the middle and late growth seasons. VCI and MCI had the highest correlation with soil relative humidity. The consistency of MCI with VCI and VSWI was higher in the middle and low coverage grassland, while the highest consistency with TCI was toward to the middle and high coverage grassland. Combined with the characteristics of various drought indices, VSWI is recommended for drought monitoring in eastern Inner Mongolia during the early growing season, and VCI or TCI is recommended for drought monitoring in the middle and late growth season.

Key words: drought, remote sensing, drought index, eastern Inner Mongolia

中图分类号:

曲学斌, 吴昊, 越昆, 刘朋涛, 李翕然. 4种遥感干旱指数在内蒙古东部干旱监测中的对比研究[J]. 生态与农村环境学报, 2020, 36(1): 81-88.

QU Xue-bin, WU Hao, YUE Kun, LIU Peng-tao, LI Xi-ran. Comparison of 4 Remote Sensing Drought Indexes for Drought Monitoring in Eastern Inner Mongolia[J]. Journal of Ecology and Rural Environment, 2020, 36(1): 81-88.

参考文献

[1] 张强,张良,崔显成,等.干旱监测与评价技术的发展及其科学挑战[J].地球科学进展,2011,26(7):763-778.[ZHANG Qiang,ZHANG Liang,CUI Xian-cheng,et al.Progresses and Challenges in Drought Assessment and Monitoring[J].Advances in Earth Science,2011,26(7):763-778.]
[2] 赵珊珊,高歌,黄大鹏,等.2004-2013年中国气象灾害损失特征分析[J].气象与环境学报,2017,33(1):101-107.[ZHAO Shan-shan,GAO Ge,HUANG Da-peng,et al.Characteristics of Meteorological Disaster Losses in China From 2004 to 2013[J].Journal of Meteorology and Environment,2017,33(1):101-107.]
[3] 曲学斌,金林雪,王颖,等.2017年春夏呼伦贝尔草原干旱过程多种监测指数对比分析[J].气象科技,2019,47(1):163-170.[QU Xue-bin,JIN Lin-xue,WANG Ying,et al.Comparative Analysis of Monitoring Effect of Various Meteorological Drought Indexes and Vegetation Status Index During a Prairie Drought[J].Meteorological Science and Technology,2019,47(1):163-170.]
[4] 杨庆,李明星,郑子彦,等.7种气象干旱指数的中国区域适应性[J].中国科学:地球科学,2017,47(3):337-353.[YANG Qing,LI Ming-xing,ZHENG Zi-yan,et al.Regional Applicability of Seven Meteorological Drought Indices in China[J].Science China Earth Sciences,2017,47(3):337-353.]
[5] 廖要明,张存杰.基于MCI的中国干旱时空分布及灾情变化特征[J].气象,2017,43(11):1402-1409.[LIAO Yao-ming,ZHANG Cun-jie.Spatio-Temporal Distribution Characteristics and Disaster Change of Drought in China Based on Meteorological Drought Composite Index[J].Meteorological Monthly,2017,43(11):1402-1409.]
[6] 张强,姚玉璧,李耀辉,等.中国西北地区干旱气象灾害监测预警与减灾技术研究进展及其展望[J].地球科学进展,2015,30(2):196-213.[ZHANG Qiang,YAO Yu-bi,LI Yao-hui,et al.Research Progress and Prospect on the Monitoring and Early Warning and Mitigation Technology of Meteorological Drought Disaster in Northwest China[J].Advances in Earth Science,2015,30(2):196-213.]
[7] 孙灏,陈云浩,孙洪泉.典型农业干旱遥感监测指数的比较及分类体系[J].农业工程学报,2012,28(14):147-154.[SUN Hao,CHEN Yun-hao,SUN Hong-quan.Comparisons and Classification System of Typical Remote Sensing Indexes for Agricultural Drought[J].Transactions of the CSAE,2012,28(14):147-154.]
[8] 郭铌,王小平.遥感干旱应用技术进展及面临的技术问题与发展机遇[J].干旱气象,2015,33(1):1-18.[GUO Ni,WANG Xiao-ping.Advances and Developing Opportunities in Remote Sensing of Drought[J].Journal of Arid Meteorology,2015,33(1):1-18.]
[9] 王莺,沙莎,张雷.甘肃省河东地区干旱遥感监测指数的对比和应用[J].中国沙漠,2015,35(4):1006-1014.[WANG Ying,SHA Sha,ZHANG Lei.Comparison and Application of Drought Monitoring Remote Sensing Indices in the Hedong Area of Gansu,China[J].Journal of Desert Research,2015,35(4):1006-1014.]
[10] 李新尧,杨联安,聂红梅,等.基于植被状态指数的陕西省农业干旱时空动态[J].生态学杂志,2018,37(4):1172-1180.[LI Xin-yao,YANG Lian-an,NIE Hong-mei,et al.Assessment of Temporal and Spatial Dynamics of Agricultural Drought in Shaanxi Province Based on Vegetation Condition Index[J].Chinese Journal of Ecology,2018,37(4):1172-1180.]
[11] 王志春,杨军,陈素华,等.气候变暖对内蒙古东部地区农牧业气候资源的影响[J].干旱区资源与环境,2016,30(4):132-137.[WANG Zhi-chun,YANG Jun,CHEN Su-hua,et al.Impact of Warmer Climate on Agricultural and Animal Husbandry Climatic Resources in Eastern Inner Mongolia[J].Journal of Arid Land Resources and Environment,2016,30(4):132-137.]
[12] KOGAN F N.Application of Vegetation Index and Brightness Temperature for Drought Detection[J].Advances in Space Research,1995,15(11):91-100.
[13] KOGAN F,SULLIVAN J.Development of Global Drought-watch System Using NOAA/AVHRR Data[J].Advances in Space Research,1993,13(5):219-222.
[14] 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.
[15] CARLSON T N,GILLIES R R,PERRY E M.A Method to Make Use of Thermal Infrared Temperature and NDVI Measurements to Infer Surface Soil Water Content and Fractional Vegetation Cover[J].Remote Sensing Reviews,1994,9(1/2):161-173.
[16] 冯冬蕾,程志刚,吴琼,等.基于MCI指数的东北地区1961-2014年气象干旱特征分析[J].干旱区资源与环境,2017,31(10):118-124.[FENG Dong-lei,CHENG Zhi-gang,WU Qiong,et al.Meteorological Drought Characteristics in Northeast China From 1961 to 2014 Based on the Comprehensive Monitoring Index Analysis[J].Journal of Arid Land Resources and Environment,2017,31(10):118-124.]

4种遥感干旱指数在内蒙古东部干旱监测中的对比研究

Comparison of 4 Remote Sensing Drought Indexes for Drought Monitoring in Eastern Inner Mongolia

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