Affiliation:
1. University of Campina Grande, Brazil
Abstract
The main objective of this study is to assess the daily ET accuracy obtained by remote sensing algorithms in comparison with measurements in situ. The experiment was conducted in the State of Ceará, Brazil, in a cotton experimental field of EMBRAPA using Bowen ratio measurements to obtain the energy balance components. SEBAL and S-SEBI algorithms were used with four TM Landsat - 5 images of 2005, in order to determine the actual evapotranspiration of cotton crop. The comparison between the estimated values by remote sensing algorithms and the measured values in situ showed that the methods (SEBAL and S-SEBI) presented satisfactory results. The S-SEBI algorithm is an important tool to be applied in ET analysis of semi-arid regions, due its practicability to solve the energy balance and its processing is simpler than SEBAL algorithm which needs the solution of an iterative process.
Reference25 articles.
1. Crop evapotranspiration - Guidelines for computing crop water requirements: FAO Irrigation and drainage paper 56;ALLEN R. G.,1998
2. SEBAL (Surface Energy Balance Algorithms for Land): Advanced Training and Users Manual - Idaho Implementation, version 1.0;ALLEN R. G.,2002
3. Water requirements of pineapple crop grown in a tropical environment, Brazil;AZEVEDO P. V.;Agricultural Water Management,2007
4. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey;BASTIAANSSEN W. G. M.;Journal of Hydrology,2000
5. A remote sensing surface energy balance algorithm for land (SEBAL) 1: Formulation;BASTIAANSSEN W. G. M.;Journal of Hydrology,1998
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献