[1]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.
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Analysis on Drought Based on AMSR2 Microwave Vegetation Index and Surface Temperature

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.
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