Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data
Crop water requirements are represented by the actual crop evapotranspiration. Estimation of crop evapotranspiration (ETc) and crop coefficient using remote-sensing data is essential for planning the irrigation water use in arid and semiarid regions. This study focuses on estimating the crop coeffic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2012-06-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111098231200004X |
| _version_ | 1818141571100442624 |
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| author | E. Farg S.M. Arafat M.S. Abd El-Wahed A.M. EL-Gindy |
| author_facet | E. Farg S.M. Arafat M.S. Abd El-Wahed A.M. EL-Gindy |
| author_sort | E. Farg |
| collection | DOAJ |
| description | Crop water requirements are represented by the actual crop evapotranspiration. Estimation of crop evapotranspiration (ETc) and crop coefficient using remote-sensing data is essential for planning the irrigation water use in arid and semiarid regions. This study focuses on estimating the crop coefficient (Kc) and crop evapotranspiration (ETc) using SPOT-4 satellite data integrated with the meteorological data and FAO-56 approach. Reference evapotranspiration (ETo) were estimated using FAO Penman-Monteith and tabled single crop coefficient values were adjusted to real values. SPOT-4 images geometrically and radio metrically corrected were used to drive the vegetation indices (NDVI and SAVI). Multi linear regression analysis was applied to develop the crop coefficient (Kc) prediction equations for the different growth stages from vegetation indices. The results showed R2 were 0.82, 0.90 and 0.97 as well as adjusted R2 were 0.80, 0.86 and 0.96 for developing, mid-season and late-season growth stage respectively. |
| first_indexed | 2024-12-11T11:01:59Z |
| format | Article |
| id | doaj.art-e39eea560016442c9ae88099472c81cf |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-12-11T11:01:59Z |
| publishDate | 2012-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-e39eea560016442c9ae88099472c81cf2022-12-22T01:09:51ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232012-06-01151838910.1016/j.ejrs.2012.02.001Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing dataE. Farg0S.M. Arafat1M.S. Abd El-Wahed2A.M. EL-Gindy3Agriculture Applications Soil and Marine Sciences Department, National Authority for Remote Sensing and Space Sciences (NARSS), EgyptAgriculture Applications Soil and Marine Sciences Department, National Authority for Remote Sensing and Space Sciences (NARSS), EgyptSoil Department, Faculty of Agriculture, Ain Shams University, EgyptAgriculture Engineering Department, Faculty of Agriculture, Ain Shams University, EgyptCrop water requirements are represented by the actual crop evapotranspiration. Estimation of crop evapotranspiration (ETc) and crop coefficient using remote-sensing data is essential for planning the irrigation water use in arid and semiarid regions. This study focuses on estimating the crop coefficient (Kc) and crop evapotranspiration (ETc) using SPOT-4 satellite data integrated with the meteorological data and FAO-56 approach. Reference evapotranspiration (ETo) were estimated using FAO Penman-Monteith and tabled single crop coefficient values were adjusted to real values. SPOT-4 images geometrically and radio metrically corrected were used to drive the vegetation indices (NDVI and SAVI). Multi linear regression analysis was applied to develop the crop coefficient (Kc) prediction equations for the different growth stages from vegetation indices. The results showed R2 were 0.82, 0.90 and 0.97 as well as adjusted R2 were 0.80, 0.86 and 0.96 for developing, mid-season and late-season growth stage respectively.http://www.sciencedirect.com/science/article/pii/S111098231200004XActual evapotranspirationCrop evapotranspirationCrop coefficientRemote sensingVegetation indices |
| spellingShingle | E. Farg S.M. Arafat M.S. Abd El-Wahed A.M. EL-Gindy Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data Egyptian Journal of Remote Sensing and Space Sciences Actual evapotranspiration Crop evapotranspiration Crop coefficient Remote sensing Vegetation indices |
| title | Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data |
| title_full | Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data |
| title_fullStr | Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data |
| title_full_unstemmed | Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data |
| title_short | Estimation of Evapotranspiration ETc and Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and remote sensing data |
| title_sort | estimation of evapotranspiration etc and crop coefficient kc of wheat in south nile delta of egypt using integrated fao 56 approach and remote sensing data |
| topic | Actual evapotranspiration Crop evapotranspiration Crop coefficient Remote sensing Vegetation indices |
| url | http://www.sciencedirect.com/science/article/pii/S111098231200004X |
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