[1]王娟,张优,张杰,等.基于TVDI的山地平原过渡带土壤水分反演——以绵竹市为例[J].水土保持研究,2018,25(02):151-156,161.
　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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基于TVDI的山地平原过渡带土壤水分反演——以绵竹市为例

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年02期 页码: 151-156,161 栏目: 出版日期: 2018-04-03
Title:
Soil Moisture Inversion in Transitional Zone of Mountain Plain Based on Temperature Vegetation Drought Index Method—A Case Study of Mianzhu City
作者:
王娟1,2, 张优1,2, 张杰1,2, 彭文甫1,2, 张伟1,2
1. 四川师范大学 地理与资源科学学院, 成都 610068;
2. 四川师范大学 西南土地资源评价与监测教育部重点实验室, 成都 610068
Author(s):
WANG Juan1,2, ZHANG You1,2, ZHANG Jie1,2, PENG Wenfu1,2, ZHANG Wei1,2
1. Faculty of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China;
2. Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
关键词:
温度植被干旱指数; 土壤水分反演; 山地平原过渡带; 遥感与GIS
Keywords:
temperature vegetation drought index; soil moisture retrieval; mountain plain transition zone; remote sensing and GIS
分类号:
S152.7
摘要:
为了对生态脆弱的西部山地平原过渡带进行土壤水分监测研究。以绵竹市为例，利用Landsat8 OLI/TIRS影像，获取了陆地表面温度（TS）和归一化植被指数（NDVI），通过温度植被干旱指数（TVDI）建立了土壤水分回归模型进行遥感水分反演，并通过野外采样数据对结果进行精度验证。结果表明：TVDI和土壤水分存在较强相关性（R=0.6553），能较好反映表层土壤湿度；土壤水分整体分布状况表现为西北山地地区高于东南平原地区，过渡带上山地向平原逐渐降低。因此，TVDI能较好反映过渡带土壤水分时空差异，对监测过渡带土壤干湿状况具有理论与现实意义。
Abstract:
In order to study the soil moisture monitoring in west China, specifically the ecologically-fragile mountain-plain transition zones (MPTZs), Mianzhu City, which is located in an MPTZ, was selected as the study area. Landsat 8 OLI/TIRS images were used to obtain the surface temperatures (TS) and normalized difference vegetation index (NDVI). The temperature-vegetation drought index (TVDI) was established, which is a soil moisture regression model that serves as a monitoring index of soil moisture. The TVDI was used for remote sensing inversion of soil moisture, and the accuracy of the inversion results was verified through comparison with data acquired from field samples. The findings indicated that a strong correlation between the TVDI and soil moisture was significant(R=0.6553), which could better reflect moisture levels in the topsoil. The greater the TVDI value was, the drier the soil was, and vice versa. In terms of overall distribution, soil moisture levels were higher in the northwest mountainous areas and relatively lower in the southeastern plains. Correspondingly, soil moisture in the MPTZ gradually declined from the mountainous areas to the plains. The TVDI is able to better reflect the spatiotemporal variations of soil moisture in MPTZs and is of theoretical and practical significance for the monitoring of soil moisture conditions in this zone.

参考文献/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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备注/Memo

收稿日期:2017-4-7;改回日期:2017-5-5。
基金项目:国家自然科学基金“基于LUCC扰动影响的成都平原土地生态安全维持机理”（41371125）；教育部人文社科研究规划基金（17YJA850007）
作者简介:王娟(1993-),女,四川宜宾人,硕士研究生,研究方向为人文地理。E-mail:460292531@qq.com
通讯作者:彭文甫(1964-),男,四川乐山人,博士,副教授,主要从事环境遥感研究。E-mail:pwfzh@126.com

更新日期/Last Update: 1900-01-01