Comparison of typical remote sensing drought indexes and their adaptability in agriculture

  • SONG Yang ,
  • FANG Shibo ,
  • WEI Yaxing
  • 1. College of Urban and Environment Sciences, Liaoning Normal University, Dalian 116029, China;
    2. Institute of Eco-environment and Agro-meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China

Received date: 2015-05-12

  Revised date: 2015-10-26

  Online published: 2016-03-25


Of all the kinds of agro-meteorological disasters, drought is the main meteorological disaster affecting crop growth, the maximum damage to agricultural production. A trend of increasing drought in China has been observed due to the global warming. The paper reviews the latest progress in the drought indexes by remote sensing, combined with the characteristics of crop growth cycles, and compares the applicabilities of various drought indexes in different crop growth durations. It is concluded that the drought indexes which are closely related to the soil moisture index are suitable for the prophase of crop growth duration, such as the growth periods, in which the vegetation coverage is low, or not sealing ridge, or soil bareness. The vegetation morphological and physiological drought indexes are more suitable for the agricultural crop growth process, especially after the vegetation sealing ridge and other vegetation coverage higher periods. The applicability of any kindof comprehensive drought index is broad and can be improved to adapt to different crop growth durations, but a large number of parameters need to be calculated to ensure the accuracy, which limits theirs practical application.

Cite this article

SONG Yang , FANG Shibo , WEI Yaxing . Comparison of typical remote sensing drought indexes and their adaptability in agriculture[J]. Science & Technology Review, 2016 , 34(5) : 45 -52 . DOI: 10.3981/j.issn.1000-7857.2016.05.004


[1] Council A M S. Policy statement:Meteorological drought[J]. Bulletin of the American Meteorological Society, 1997, 78:847-849.
[2] 房世波, 谭凯炎, 任三学. 夜间增温对冬小麦生长和产量影响的实验研究[J]. 中国农业科学, 2010, 43(15):3251-3258. Fang Shibo, Yan Kaiyan, Ren Sanxue. Winter wheat yields decline with spring higher night temperature by controlled experiments[J]. Scientia Agricultura Sinica, 2010, 43(15):3251-3258.
[3] 房世波, 阳晶晶, 周广胜. 30年来我国农业气象灾害变化趋势和分布特征[J]. 自然灾害学报, 2011, 20(5):69-73. Fang Shibo, Yang Jingjing, Zhou Guangsheng. Change trend and distrib-30 years[J]. Journal of Natural Disasters, 2011, 20(5):69-73.
[4] 房世波, 齐月, 韩国军, 等. 1961-2010年中国主要麦区冬春气象干旱趋势及其可能影响[J]. 中国农业科学, 2014, 47(9):1754-1763. Fang Shibo, Qi Yue, Han Guojun, et al. Meteorological drought trend in winter and spring from 1961 to 2010 and its possible impacts on wheat in wheat planting area of China[J]. Scientia Agricultura Sinica, 2014, 47(9):1754-1763.
[5] 杨绍锷, 闫娜娜, 吴炳方. 农业干旱遥感监测研究进展[J]. 遥感信息, 2010(1):103-109. Yang Shaoe, Yan Nana, Wu Bingfang. Advances in agricultural drought monitoring by remote sensing[J]. Remote Sensing Information, 2010(1):103-109.
[6] 王鹏新, 孙威. 基于植被指数和地表温度的干旱监测方法的对比分析[J]. 北京师范大学学报:自然科学版, 2007, 43(3):319-323. Wang Pengxin, Sun Wei. Comparison study on NDVI and LST based drought monitoring approaches[J]. Journal of Beijing Normal University:Natural Science Edition, 2007, 43(3):319-323.
[7] 张学艺, 李剑萍, 秦其明, 等. 几种干旱监测模型在宁夏的对比应用[J]. 农业工程学报, 2009, 25(8):18-23. Zhang Xueyi, Li Jianping, Qin Qiming, et al. Comparison and applica-tion of several drought monitoring models in Ningxia, China[J]. Transac-tions of the Chinese Society of Agricultural Engineering, 2009, 25(8):18-23.
[8] Hatfield J L, Prueger J H. Value of using different vegetative indices to quantify agricultural crop characteristics at different growth stages un-der varying management practices[J]. Remote Sensing, 2010, 2(2):562-578.
[9] 刘镕源, 王纪华, 杨贵军, 等. 冬小麦叶面积指数地面测量方法的比较[J]. 农业工程学报, 2011, 27(3):220-224. Liu Rongyuan, Wang Jihua, Yang Guijun, et al. Comparison of groundbased LAI measuring methods on winter wheat[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(3):220-224.
[10] 赵娟, 黄文江, 张耀鸿, 等. 冬小麦不同生育时期叶面积指数反演方法[J]. 光谱学与光谱分析, 2013, 33(9):2546-2552. Zhao Juan, Huang Wenjiang, Zhang Yaohong, et al. Inversion of leaf area index during different growth stages in winter wheat[J]. Spectros-copy and Spectral Analysis, 2013, 33(9):2546-2552.
[11] 谭方颖, 王建林, 郑昌玲, 等. 华北冬小麦干旱产量损失评估方法[J]. 中国农业气象, 2013, 34(6):696-702. Tan Fangying, Wang Jianlin, Zheng Changling, et al. Evaluation meth-od for winter wheat yield loss of drought disaster in North China[J]. Chinese Journal of Agro-meteorology, 2013, 34(6):696-702.
[12] 申海凤, 商彦蕊, 刘公英. 基于SPI指数的农作物生长期干旱时间变化研究-以河北省邢台县为例[J]. 湖北农业科学, 2014, 53(11):2536-2541. Shen Haifeng, Shang Yanrui, Liu Gongying. The time changing of drought in crop growth period based on the SPI index-Taking Xing-tai County in Hebei Province as an example[J]. Hubei Agricultural Sci-ences, 2014, 53(11):2536-2541.
[13] 李柏贞, 周广胜. 干旱指标研究进展[J]. 生态学报, 2014, 34(5):1043-1052. Li Bozhen, Zhou Guangsheng. Advance in the study on drought index[J]. Acta Ecologica Sinica, 2014, 34(5):1043-1052.
[14] 吴炳方, 张峰, 刘成林, 等. 农作物长势综合遥感监测方法[J]. 遥感学报, 2005, 8(6):498-514. Wu Bingfang, Zhang Feng, Liu Chenglin, et al. An integrated method for crop condition monitoring[J]. Journal of Remote Sensing, 2005, 8(6):498-514.
[15] 李兴华, 李云鹏, 杨丽萍. 内蒙古干旱监测评估方法综合应用研究[J]. 干旱区资源与环境, 2014, 28(3):162-166. Li Xinghua, Li Yunpeng, Yang Liping. Application and evaluation of integrated drought monitoring method to Inner Mongolia[J]. Journal of Arid Land Resources and Environment, 2014, 28(3):162-166.
[16] Price J C. The potential of remotely sensed thermal infrared data to in-fer surface soil moisture and evaporation[J]. Water Resources Re-search, 1980, 16(4):787-795.
[17] Carlson T N. Regional-scale estimates of surface moisture availability and thermal inertia using remote thermal measurements[J]. Remote Sensing Reviews, 1986, 1(2):197-247.
[18] 余涛, 田国良. 热惯量法在监测土壤表层水分变化中的研究[J]. 遥感学报, 1997, 1(1):24-31. Yu Tao, Tian Guoliang. The application of thermal inertia method the monitoring of soil moisture of North China Plain based on NOAAAVHRR data[J]. Journal of Remote Sensing, 1997, 1(1):24-31.
[19] 陈怀亮, 冯定原, 邹春辉. 麦田土壤水分NOAA/AVHRR遥感监测方法研究[J]. 遥感技术与应用, 1998, 13(4):27-35. Chen Huailiang, Feng Dingyuan, Zou Chunhui. The study of method on monitoring soil moisture in wheat field by NOAA/AVHRR data[J]. Remote Sensing Technology and Application, 1998, 13(4):27-35.
[20] 杨树聪, 沈彦俊, 郭英, 等. 基于表观热惯量的土壤水分监测[J]. 中国生态农业学报, 2011, 19(5):1157-1161. Yang Shucong, Shen Yanjun, Guo Ying, et al. Monitoring soil mois-ture by apparent thermal inertia method[J]. Chinese Journal of Eco-Agriculture, 2011, 19(5):1157-1161.
[21] 吴黎, 张有智, 解文欢, 等. 改进的表观热惯量法反演土壤含水量[J]. 国土资源遥感, 2012, 25(1):44-49. Wu Li, Zhang Youzhi, Xie Wenhuan, et al. The inversion of soil water content by the improved apparent thermal inertia[J]. Remote Sensing for Land & Resources, 2012, 25(1):44-49.
[22] 王艳姣, 闫峰. 旱情监测中高植被覆盖区热惯量模型的应用[J]. 干旱区地理, 2014, 37(3):539-547. Wang Yanjiao, Yan Feng. Application of thermal inertia model in high vegetation coverage area for drought monitoring[J]. Arid Land Geogra-phy, 2014, 37(3):539-547.
[23] 韩宇平, 张功瑾, 王富强. 农业干旱监测指标研究进展[J]. 华北水利水电学院学报, 2013, 34(1):74-78. Han Yuping, Zhang Gongjin, Wang Fuqiang. Research progress on monitoring indexes of agricultural drought[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2013, 34(1):74-78.
[24] 张文宗, 周须文, 王晓云. 华北干旱综合评估和预警技术研究[J]. 气象, 1999, 25(1):30-33. Zhang Wenzong, Zhou Xuwen, Wang Xiaoyun. A research on the North China integrated drought assessment and early warning technolo-gy[J]. Meteorological Monthly, 1999, 25(1):30-33.
[25] 张文宗, 姚树然, 赵春雷, 等. 利用MODIS资料监测和预警干旱新方法[J]. 气象科技, 2006, 34(4):501-504. Zhang Wenzong, Yao Shuran, Zhao Chunlei, et al. New method for drought monitoring and pre-warning with EOS/MODIS[J]. Meteorologi-cal Science and Technology, 2006, 34(4):501-504.
[26] 郑有飞, 刘茜, 王云龙, 等. 能量指数法在黑龙江干旱监测中的适用性研究[J]. 土壤, 2012, 44(1):149-157. Zheng Youfei, Liu Qian, Wang Yunlong, et al. Application of energy index method on drought monitoring in Heilongjiang[J]. Soils, 2012, 44(1):149-157.
[27] 武晋雯, 孙龙彧, 张玉书, 等. 不同植被覆盖下土壤水分遥感监测方法的比较研究[J]. 中国农学通报, 2014, 30(23):303-307. Wu Jinwen, Sun Longyu, Zhang Yushu, et al. Comparative study on the methods of estimating soil moisture by remote sensing under differ-ent vegetation cover[J]. Chinese Agricultural Science Bulletin, 2014, 30(23):303-307.
[28] 詹志明, 秦其明, 阿布都瓦斯提·吾拉木, 等. 基于NIR-Red光谱特征空间的土壤水分监测新方法[J]. 中国科学:D辑, 2006, 36(11):1020-1026. Zhan Zhiming, Qin Qiming, Ghulam A, et al. Assessment of soil water based on characteristics of NIR-Red space[J]. Science in China:Se-ries D, 2006, 36(11):1020-1026.
[29] Ghulam A, Qin Q, Zhan Z. Designing of the perpendicular drought in-dex[J]. Environmental Geology, 2007, 52(6):1045-1052.
[30] Ghulam A, Qin Q, Teyip T, et al. Modified perpendicular drought in-dex (MPDI):A real-time drought monitoring method[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(2):150-164.
[31] 周正明. 遥感光谱指数反演土壤水分及干旱时空分布研究[D]. 北京:中国气象科学研究院, 2013. Zhou Zhengming. Soil moisture retrieval using remote sensing spectral indexes and tempo-spatial drought analysis in East China winter wheat-planting area[D]. Beijing:Chinese Meteorological Science Re-search Institute, 2013.
[32] 孙丽, 裴志远, 马尚杰, 等. 基于多种卫星的县级尺度干旱监测指数比较-以河北玉田县为例[J]. 地理与地理信息科学, 2014, 30(4):46-50. Sun Li, Pei Zhiyuan, Ma Shangjie, et al. Comparative study of differ-ent drought indexes based on multi-source remote sensing on county scale:A case study of Yutian County[J]. Geography and Geo-Informa-tion Science, 2014, 30(4):46-50.
[33] Shahabfar A, Ghulam A, Eitzinger J. Drought monitoring in Iran using the perpendicular drought indices[J]. International Journal of Applied Earth Observation and Geo-information, 2012, 18:119-127.
[34] Shahabfar A, Reinwand M, Conrad C, et al. A Re-examination of per-pendicular drought indices over central and south-west asia[J]. Re-mote Sensing for Agriculture Ecosystems & Hydrology XIV, 2012, 8531(8):103-104.
[35] Jackson R D, Slater P N, Pinter P J. Discrimination of growth and wa-ter stress in wheat by various vegetation indices through clear and tur-bid atmospheres[J]. Remote Sensing of Environment, 1983, 13(3):187-208.
[36] Lozano-Garcia D F, Fernandez R N, Gallo K P, et al. Monitoring the 1988 severe drought in Indiana, USA using AVHRR data[J]. Interna-tional Journal of Remote Sensing, 1995, 16(7):1327-1340.
[37] Reed B C. Using remote sensing and geographic information systems for analyzing landscape/drought interaction[J]. International Journal of Remote Sensing, 1993, 14(18):3489-3503.
[38] Anyamba A, Tucker C J, Eastman J R. NDVI anomaly patterns over Africa during the 1997/98 ENSO warm event[J]. International journal of remote sensing, 2001, 22(10):1847-1859.
[39] Peters W S. Drought monitoring with NDVI-based standardized vegeta-tion index[J]. Photogrammetric Engineering & Remote Sensing, 2002, 68(1):71-76.
[40] 李秀花, 师庆东, 常顺利, 等. 1981-2001年中国西北干旱区NDVI变化分析[J]. 干旱区地理, 2009, 31(6):940-945. Li Xiuhua, Shi Qingdong, Chang Shunli, et al. Change of NDVI based on NOAA image in northwest arid area of China in 1981-2001[J]. Ar-id Land Geography, 2009, 31(6):940-945.
[41] 孙丽, 王飞, 吴全. 干旱遥感监测模型在中国冬小麦区的应用[J]. 农业工程学报, 2010, 26(1):243-249. Sun Li, Wang Fei, Wu Quan. Drought monitoring by remote sensing in winter-wheat-growing area of China[J]. Transactions of the Chinese So-ciety of Agricultural Engineering, 2010, 26(1):243-249.
[42] Li Z, Chen Z. Remote sensing indicators for crop growth monitoring at different scales[C]//2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2011:4062-4065.
[43] Kogan F N. Remote sensing of weather impacts on vegetation in nonhomogeneous areas[J]. International Journal of Remote Sensing, 1990, 11(8):1405-1419.
[44] Kogan F N. Application of vegetation index and brightness tempera-ture for drought detection[J]. Advances in Space Research, 1995, 15(11):91-100.
[45] Kogan F N. Global drought and flood-watch from NOAA polar-orbit-ing satellites[J]. Advances in Space Research, 1998, 21(3):477-480.
[46] Kogan F N. Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data[J]. Bulletin of the American Meteorological Society, 1995, 76(5):655-668.
[47] Bhuiyan C, Singh R P, Kogan F N. Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data[J]. International Journal of Applied Earth Observa-tion and Geo-information, 2006, 8(4):289-302.
[48] 牟伶俐, 吴炳方, 闫娜娜, 等. 农业旱情遥感指数验证与不确定性分析[J]. 水土保持通报, 2007, 27(2):119-122. Mu Lingli, Wu Bingfang, Yan Nana, et al. Validation of agricultural drought indices and their uncertainty analysis[J]. Bulletin of Soil and Water Conservation, 2007, 27(2):119-122.
[49] Rojas O, Vrieling A, Rembold F. Assessing drought probability for ag-ricultural areas in Africa with coarse resolution remote sensing imagery[J]. Remote Sensing of Environment, 2011, 115(2):343-352.
[50] Sun H, Zhao X, Chen Y, et al. A new agricultural drought monitoring index combining MODIS NDWI and day-night land surface tempera-tures:a case study in China[J]. International Journal of Remote Sens-ing, 2013, 34(24):8986-9001.
[51] Idso S B, Jackson R D, Pinter P J, et al. Normalizing the stress-de-gree-day parameter for environmental variability[J]. Agricultural Mete-orology, 1981, 24(81):45-55.
[52] Jackson R D, Kustas W P, Choudhury B J. A reexamination of the crop water stress index[J]. Irrigation Science, 1988, 9(4):309-317.
[53] Jones H G. Use of infrared thermometry for estimation of stomatal con-ductance as a possible aid to irrigation scheduling[J]. Agricultural & Forest Meteorology, 1999, 95(3):139-149.
[54] 张小雨, 孙宏勇, 王艳哲, 等. 应用基于红外热画像技术的CWSI简化算法判断作物水分状态[J]. 中国农业气象, 2013, 34(5):569-575. Zhang Xiaoyu, Sun Hongyong, Wang Yanzhe, et al. Application of a simplified method for estimating CWSI with infrared thermography[J]. Chinese Journal of Agro-meteorology, 2013, 34(5):569-575.
[55] 隋洪智, 田国良. 农田蒸散双层模型及其在干旱遥感监测中的应用[J]. 遥感学报, 1997, 1(3):220-224. Sui Hongzhi, Tian Guoliang. Two-layer Model for monitoring drought using remote sensing[J]. Journal of Remote Sensing, 1997, 1(3):220-224.
[56] Jupp D L B. Constrained two layer models for estimating evapotranspi-ration[C]//Proceedings of the 11th Asian Conference on Remote Sens-ing. 1990.
[57] Moran M S, Clarke T R, Inoue Y, et al. Estimating crop water deficit using the relation between surface-air temperature and spectral vegeta-tion index[J]. Remote Ssensing of Environment, 1994, 49(3):246-263.
[58] 齐述华. 干旱监测遥感模型和中国干旱时空分析[D]. 北京:中国科学院遥感应用研究所, 2004. Qi Shuhua. Drought monitoring models with remote sensing and tem-po-spatial characteristics of drought in China[D]. Beijing:Institute of Remote Sensing Applications Chinese Academy of Science, 2004.
[59] Su Z, Yacob A, Wen J, et al. Assessing relative soil moisture with re-mote sensing data:theory, experimental validation, and application to drought monitoring over the North China Plain[J]. Physics and Chemis-try of the Earth, Parts A/B/C, 2003, 28(1):89-101.
[60] Carlson T N, Gillies R R, Perry E M. A method to make use of ther-mal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover[J]. Remote Sensing Re-views, 1994, 9(1-2):161-173.
[61] 孟兆江, 段爱旺, 卞新民, 等. 番茄茎直径变差法诊断水分状况试验[J]. 干旱地区农业研究, 2005, 23(3):40-43. Meng Zhaojiang, Duan Aiwang, Bian Xinmin, et al. Diagnosis of crop moisture condition from variable differential in stem diameter of tomato[J]. Agricultural Research in the Arid Areas, 2005, 23(3):40-43.
[62] 莫伟华, 王振会, 孙涵, 等. 基于植被供水指数的农田干旱遥感监测研究[J]. 南京气象学院学报, 2006, 29(3):396-401. Mo Weihua, Wang Zhenhui, Sun Han, et al. Remote sensing monitor-ing of farmland drought based on vegetation supply water index[J]. Journal of Nanjing Institute of Meteorology, 2006, 29(3):396-401.
[63] Abbas S, Nichol J E, Qamer F M, et al. Characterization of drought de-velopment through remote sensing:a case study in Central Yunnan, China[J]. Remote Sensing, 2014, 6(6):4998-5018.
[64] 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.
[65] 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. Wu Mengquan, Cui Weihong, Li Jinggang. Monitoring drought in mountainous area based on temperature vegetation dryness index (TV-DI)[J]. Journal of Natural Disasters, 2007, 30(1):30-35.
[66] Karnieli A, Agam N, Pinker R T, et al. Use of NDVI and land surface temperature for drought assessment:merits and limitations[J]. Journal of Climate, 2010, 23(3):618-633.
[67] 李云鹏, 司瑶冰, 刘朋涛, 等. 基于空间信息的内蒙古农业干旱监测研究[J]. 干旱区资源与环境, 2011, 25(11):125-131. Li Yunpeng, Si Yaobing, Liu Pengtao, et al. Agricultural drought moni-toring of Inner Mongolia based on spatial information[J]. Journal of Ar-id Land Resources and Environment, 2011, 25(11):125-131.
[68] Sun L, Wu Q, Pei Z, et al. Study on drought index in major planting area of winter wheat of China[J]. Sensor Letters, 2012, 10(1-2):453-458.
[69] 王鹏新, 龚健雅, 李小文. 条件植被温度指数及其在干旱监测中的应用[J]. 武汉大学学报:信息科学版, 2001, 26(5):412-418. Wang Pengxin, Gong Jianya, Li Xiaowen. Vegetation-temperature con-dition index and its application for drought monitoring[J]. Geomatics and Information Science of Wuhan University, 2001, 26(5):412-418.
[70] 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(1):61-72.
[71] 陈鹏. 基于植被指数和地表温度的农业旱情监测适用性研究[D]. 南京:南京信息工程大学, 2011. Chen P. Agricultural drought monitoring based on vegetation index and surface temperature on applicability[D]. Nanjing:Nanjing Universi-ty of Information Science and Technology, 2011.
[72] 郑有飞, 程晋昕, 吴荣军, 等. 农业旱情遥感监测的一种改进方法及其应用[J]. 应用生态学报, 2013, 24(9):2608-2618. Zheng Youfei, Cheng Jinxi, Wu Rongjun, et al. An improved method and its application for agricultural drought monitoring based on remote sensing[J]. Chinese Journal of Applied Ecology, 2013, 24(9):2608-2618.
[73] Li H, Lei Y, Zheng L, et al. Calculating regional drought indices us-ing evapotranspiration (ET) distribution derived from Landsat7 ETM+ data[C]//Optics & Photonics 2005. International Society for Optics and Photonics, 2005:58841E-58841E-9.
[74] 李红军, 郑力, 雷玉平, 等. 植被指数-地表温度特征空间研究及其在旱情监测中的应用[J]. 农业工程学报, 2007, 22(11):170-174. Li Hongjun, Zheng Li, Lei Yuping, et al. Vegetation index-surface temperature feature space and its application in the regional drought monitoring[J]. Transactions of the Chinese Society of Agricultural Engi-neering, 2007, 22(11):170-174.
[75] 聂建亮, 武建军, 杨曦, 等. 基于地表温度-植被指数关系的地表温度降尺度方法研究[J]. 生态学报, 2011, 31(17):4961-4969. Nie Jianliang, Wu Jianjun, Yang Xi, et al. Downscaling land surface temperature based on relationship between surface temperature and vegetation index[J]. Acta Ecologica Sinica, 2011, 31(17):4961-4969.
[76] 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. Wang Yongqian, Shi Jiancheng, Liu Zhihong, et al. Application of mi-crowave vegetation index in drought monitoring[J]. Journal of Remote Sensing, 2014, 18(4):843-867.
[77] 刘良明. 基于EOS MODIS数据的遥感干旱预警模型研究[D]. 武汉:武汉大学, 2004. Liu Liangming. The research of remote sensing drought prediction model based on EOS MODIS data[D]. Wuhan:Wuhan University, 2004.
[78] 刘良明, 向大享, 文雄飞, 等. 云参数法干旱遥感监测模型的完善[J]. 武汉大学学报:信息科学版, 2009, 34(2):207-209. Liu Liangming, Xiang Daxiang, Wen Xiongfei, et al. Improvement of cloud parameters based drought monitoring model using remote sens-ing data[J]. Geomatics and Information Science of Wuhan University, 2009, 34(2):207-209.
[79] 向大享. 云参数法干旱遥感监测模型研究[D]. 武汉:武汉大学, 2011. Xiang Daxiang. The research of cloud parameters indices model for drought monitoring based on remote sensing data[D]. Wuhan:Wuhan University, 2011.
[80] 孙岩标, 刘良明, 何连, 等. 基于云参数法遥感干旱监测系统研究[C]//Proceedings of 2010 International Conference on Remote Sensing (ICRS 2010), Volu 3. 2010. Sun Yanbiao, Liu Liangming, He Lian, et al. Research on drought re-mote sensing monitoring system based on cloud method[C]//Proceed-ings of 2010 International Conference on Remote Sensing (ICRS 2010), Vol 3. 2010.
[81] 李喆, 向大享, 谭德宝, 等. 基于云参数法的2010年西南旱情遥感分析[J]. 人民长江, 2012, 43(8):88-92. Li Zhe, Xiang Daxiang, Tan Debao, et al. Remote sensing analysis of drought in southwest China in 2010 based on cloud parameters method[J]. Yangtze River, 2012, 43(8):88-92.
[82] 张穗, 向大享, 孙忠华. 云参数法干旱遥感监测模型在非洲地区的适应性研究[J]. 华中师范大学学报:自然科学版, 2013, 47(3):410-415. Zhang Hui, Xiang Daxiang, Sun Zhonghua. Adaptability analysis of the drought monitoring model based on the cloud parameters method in Africa[J]. Journal of Huazhong Normal University:Natural Sciences Edition, 2013, 47(3):410-415.
[83] Huang Y, Liu X, Shen Y, et al. Assessment of agricultural drought in-dicators impact on soybean crop yield:A case study in Iowa, USA[C]//Third International Conference on. IEEE Agro-geoinformatics (Agrogeoinformatics 2014), 2014:1-6.
[84] 魏伟, 任皓晨, 赵军, 等. 基于MODIS的ATI和TVI组合法反演石羊河流域土壤含水量[J]. 国土资源遥感, 2011, 23(2):104-109. Wei Wei, Ren Haochen, Zhao Jun, et al. Retrieving soil moisture of Shiyang River Basin by ATI and TVI based on EOS/MODIS data[J]. Remote Sensing for Land & Resources, 2011, 22(2):104-109.