An application of the T(s)-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in and and semi-arid regions: Implementation and validation
文献类型：SCI/SSCI论文
| 作者 | Tang R. L. ; Li Z. L. ; Tang B. H. |
| 发表日期 | 2010 |
| 关键词 | Evapotranspiration MODIS Validation Large Aperture Scintillometer T(s)-VI triangle space remote-sensing data surface-temperature heat-flux vegetation index energy-balance air-temperature evaporation soil radiation methodologies |
| 英文摘要 | The commonly applied surface temperature-vegetation index (T(s)-VI) triangle method is used to estimate regional evapotranspiration (ET) in and and semi-arid regions. A practical algorithm based on the T(s)-VI triangle method is developed to determine quantitatively the dry and wet edges of this triangle space. First, the T(s)-VI triangle method is reviewed. Assumptions involved in this method are highlighted, and advantages, disadvantages and applicability are discussed. Then, an experimental use of the T(s)-VI triangle method is developed and applied to several MODIS/TERRA datasets acquired during the Heihe Field Experiment from May 20th to August 21st, 2008. The sensible heat fluxes retrieved using MODIS data from a grassland located in the middle reach of Heihe river basin, Northwest China, are in good agreement with those measured from a Large Aperture Scintillometer (LAS). The Root Mean Square Error of this comparison is 25.07 W/m(2). It is shown that determination of dry and wet edges using the proposed algorithm is accurate enough at least in most cases of our study for the estimates of regional surface ET. (C) 2009 Elsevier Inc. All rights reserved. |
| 出处 | Remote Sensing of Environment |
| 卷 | 114 |
| 期 | 3 |
| 页 | 540-551 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0034-4257 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23000]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Tang R. L.,Li Z. L.,Tang B. H.. An application of the T(s)-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in and and semi-arid regions: Implementation and validation. 2010. |
入库方式： OAI收割
来源：地理科学与资源研究所
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