دورية أكاديمية
Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed
| العنوان: | Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed |
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| المؤلفون: | Gen Li, Yuanshu Jing, Yihua Wu, Fangmin Zhang |
| المصدر: | Water, Vol 10, Iss 4, p 474 (2018) |
| بيانات النشر: | MDPI AG, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Hydraulic engineering LCC:Water supply for domestic and industrial purposes |
| مصطلحات موضوعية: | evapotranspiration, SEBAL, SEBS, linear spectral mixture model, heterogeneous, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500 |
| الوصف: | Accurately measuring regional evapotranspiration (ET) is of great significance for studying global climate change, regional hydrological cycles, and surface energy balance. However, estimating regional ET from mixed vegetation types is still challenging. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) and the Surface Energy Balance System (SEBS) models were applied to estimate surface ET in a small agricultural watershed. Landsat8 satellite images were used as input data to the single-source models. The two models were validated at single point and ecosystem scales. The results showed that both models overestimated ET observations in paddy fields and orange groves but underestimated them in dry farmland. The error was mainly caused by the heterogeneity of the mixed pixels. The linear spectral mixture model and a set of equations were introduced to reduce the simulation error. The revised results showed that the relative precision of SEBAL was improved by 9.87% and 10.06%, respectively. This research is expected to provide new ideas for future development of accurate remote-sensing ET estimations on heterogeneous surfaces. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2073-4441 |
| Relation: | http://www.mdpi.com/2073-4441/10/4/474; https://doaj.org/toc/2073-4441 |
| DOI: | 10.3390/w10040474 |
| URL الوصول: | https://doaj.org/article/d9c9853b5f7a4b209741726a126803d6 |
| رقم الأكسشن: | edsdoj.9c9853b5f7a4b209741726a126803d6 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20734441 |
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| DOI: | 10.3390/w10040474 |