Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature
文献类型：期刊论文
| 作者 | Zhang, Dianjun1,2; Tang, Ronglin1; Zhao, Wei3 ; Tang, Bohui1; Wu, Hua1; Shao, Kun4; Li, Zhao-Liang5
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2014-04-01 |
| 卷号 | 6期号:4页码:3170-3187 |
| 关键词 | thermal infrared soil water content triangle method TRRVDI temperature rising rate |
| ISSN号 | 2072-4292 |
| 通讯作者 | Tang, RL |
| 英文摘要 | Soil water content (SWC) is a crucial variable in the thermal infrared research and is the major control for land surface hydrological processes at the watershed scale. Estimating the surface SWC from remotely sensed data using the triangle method proposed by Price has been demonstrated in previous studies. In this study, a new soil moisture index (Temperature Rising Rate Vegetation Dryness IndexTRRVDI) is proposed based on a triangle constructed using the mid-morning land surface temperature (LST) rising rate and the vegetation index to estimate the regional SWC. The temperature at the dry edge of the triangle is determined by the surface energy balance principle. The temperature at the wet edge is assumed to be equal to the air temperature. The mid-morning land surface temperature rising rate is calculated using Meteosat Second GenerationSpinning Enhanced Visible and Infrared Imager (MSG-SEVIRI) LST products over 4 cloud-free days (day of year: 206, 211, 212, 242) in 2007. The developed TRRVDI is validated by in situ measurements from 19 meteorological stations in Spain. The results indicate that the coefficient of determination (R-2) between the TRRVDI derived using the theoretical limiting edges and the in situ SWC measurements is greater than that derived using the observed limiting edges. The R-2 values are 0.46 and 0.32; respectively (p < 0.05). Additionally, the TRRVDI is much better than the soil moisture index that was developed using one-time LST and fractional vegetation cover (FVC) with the theoretically determined limiting edges. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Remote Sensing |
| 研究领域[WOS] | Remote Sensing |
| 关键词[WOS] | VEGETATION INDEX ; TRIANGLE METHOD ; EVAPOTRANSPIRATION ESTIMATION ; REGIONAL EVAPOTRANSPIRATION ; MOISTURE CONDITIONS ; SATELLITE IMAGERY ; ENERGY FLUXES ; INERTIA ; MODEL ; RETRIEVAL |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336746900028 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/9952]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources & Environm informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 4.Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China 5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Dianjun,Tang, Ronglin,Zhao, Wei,et al. Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature[J]. REMOTE SENSING,2014,6(4):3170-3187. |
| APA | Zhang, Dianjun.,Tang, Ronglin.,Zhao, Wei.,Tang, Bohui.,Wu, Hua.,...&Li, Zhao-Liang.(2014).Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature.REMOTE SENSING,6(4),3170-3187. |
| MLA | Zhang, Dianjun,et al."Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature".REMOTE SENSING 6.4(2014):3170-3187. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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