[1]WANG Juan,ZHANG You,ZHANG Jie,et al.Soil Moisture Inversion in Transitional Zone of Mountain Plain Based on Temperature Vegetation Drought Index Method—A Case Study of Mianzhu City[J].Research of Soil and Water Conservation,2018,25(02):151-156,161.
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Soil Moisture Inversion in Transitional Zone of Mountain Plain Based on Temperature Vegetation Drought Index Method—A Case Study of Mianzhu City

References:
[1] 杨曦,武建军,闫峰,等.基于地表温度-植被指数特征空间的区域土壤干湿状况[J].生态学报,2009,29(3):1205-1216.
[2] 徐沛,张超.土壤水分遥感反演研究进展[J].林业资源管理,2015(4):151-156.
[3] 吴黎,张有智.改进的表观热惯量法反演土壤含水量[J].国土资源遥感,2013,25(1):44-48.
[4] 王明霞,毋兆鹏.遥感监测土壤湿度综述[J].干旱环境监测,2013(4):163-168.
[5] Goetz S J. Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site[J]. International Journal of Remote Sensing, 1997,18(1):71-94.
[6] 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(23):213-224.
[7] 胡蝶,郭铌,沙莎,等. Radarsat-2/SAR和MODIS数据联合反演黄土高原地区植被覆盖下土壤水分研究[J].遥感技术与应用,2015,30(5):860-867.
[8] 蒋金豹,张玲,崔希民,等.植被覆盖区土壤水分反演研究:以北京市为例[J].国土资源遥感,2014,26(2):27-32.
[9] 徐小逊,张萍,徐精文,等.基于被动微波遥感和BP神经网络的土壤水分反演研究:以川中丘陵区为例[J]. 西南农业学报,2014,27(6):2478-2484.
[10] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.
[11] 彭文甫,王广杰,周介铭,等.基于多时相Landsat5/8影像的岷江汶川-都江堰段植被覆盖动态监测[J].生态学报,2016(7):1975-1988.
[12] 张丽,何晓旭,魏鸣.基于NDVI的淮河流域植被覆盖度动态变化[J].长江流域资源与环境,2012(S1):51-56.
[13] 汪明冲,王兮之,梁钊雄,等.喀斯特与非喀斯特区域植被覆盖变化景观分析:以广西壮族自治区河池市为例[J].生态学报,2014(12):3435-3443.
[14] 陈晋,陈云浩,何春阳,等.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001(6):416-422,481.
[15] 覃志豪,李文娟,徐斌,等.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32.
[16] 伍漫春,丁建丽,王高峰.基于地表温度-植被指数特征空间的区域土壤水分反演[J].中国沙漠,2012,32(1):148-154.
[17] 温小乐,姜兴强,徐涵秋.基于TM影像的长乐市植被覆盖度变化研究[J].遥感信息,2013(6):56-61.
[18] 丁凤,徐涵秋.TM热波段图像的地表温度反演算法与试验分析[J].地球信息科学,2006(3):125-135.
[19] 虞文丹,张友静,陈立文,等.基于TVDI与气象因子的土壤含水量估算[J].地理空间信息,2015,13(1):137-139.
[20] 王家强,梁继业,李志军,等.利用植被指数-地表温度特征空间反演干旱区土壤干湿状况[J].土壤通报,2014,45(1):39-46.
[21] 范辽生,姜纪红,盛晖,等.利用温度植被干旱指数(TVDI)方法反演杭州伏旱期土壤水分[J].中国农业气象,2009(2):230-234.
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