Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region
The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping water use (ETc) in irrigated wheat crops of a semi-arid region. The method is based on the relationships established between Normalized Difference Vegetation Index (NDVI) and crop biophysical variables...
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| Format: | Article |
| Language: | English |
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MDPI AG
2010-01-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/2/1/375/ |
| _version_ | 1819281258432167936 |
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| author | Benoit Duchemin Abdelghani Chehbouni Salah Er-Raki |
| author_facet | Benoit Duchemin Abdelghani Chehbouni Salah Er-Raki |
| author_sort | Benoit Duchemin |
| collection | DOAJ |
| description | The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping water use (ETc) in irrigated wheat crops of a semi-arid region. The method is based on the relationships established between Normalized Difference Vegetation Index (NDVI) and crop biophysical variables such as basal crop coefficient, cover fraction and soil evaporation. A time series of high spatial resolution SPOT and Landsat images acquired during the 2002/2003 agricultural season has been used to generate the profiles of NDVI in each pixel that have been related to crop biophysical parameters which were used in conjunction with FAO-56 dual source approach. The obtained results showed that the spatial distribution of seasonal ETc varied between 200 and 450 mm depending to sowing date and the development of the vegetation. The validation of spatial results showed that the ETc estimated by FAO-56 corresponded well with actual ET measured by eddy covariance system over test sites of wheat, especially when soil evaporation and plant water stress are not encountered. |
| first_indexed | 2024-12-24T00:56:50Z |
| format | Article |
| id | doaj.art-98d35988f99d4d9ca9ae7bae23b16ab9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T00:56:50Z |
| publishDate | 2010-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-98d35988f99d4d9ca9ae7bae23b16ab92022-12-21T17:23:27ZengMDPI AGRemote Sensing2072-42922010-01-012137538710.3390/rs2010375Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid RegionBenoit DucheminAbdelghani ChehbouniSalah Er-RakiThe aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping water use (ETc) in irrigated wheat crops of a semi-arid region. The method is based on the relationships established between Normalized Difference Vegetation Index (NDVI) and crop biophysical variables such as basal crop coefficient, cover fraction and soil evaporation. A time series of high spatial resolution SPOT and Landsat images acquired during the 2002/2003 agricultural season has been used to generate the profiles of NDVI in each pixel that have been related to crop biophysical parameters which were used in conjunction with FAO-56 dual source approach. The obtained results showed that the spatial distribution of seasonal ETc varied between 200 and 450 mm depending to sowing date and the development of the vegetation. The validation of spatial results showed that the ETc estimated by FAO-56 corresponded well with actual ET measured by eddy covariance system over test sites of wheat, especially when soil evaporation and plant water stress are not encountered.http://www.mdpi.com/2072-4292/2/1/375/evapotranspirationFAO-56Normalized Difference Vegetation Index (NDVI)remote sensingsemi-arid |
| spellingShingle | Benoit Duchemin Abdelghani Chehbouni Salah Er-Raki Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region Remote Sensing evapotranspiration FAO-56 Normalized Difference Vegetation Index (NDVI) remote sensing semi-arid |
| title | Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region |
| title_full | Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region |
| title_fullStr | Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region |
| title_full_unstemmed | Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region |
| title_short | Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region |
| title_sort | combining satellite remote sensing data with the fao 56 dual approach for water use mapping in irrigated wheat fields of a semi arid region |
| topic | evapotranspiration FAO-56 Normalized Difference Vegetation Index (NDVI) remote sensing semi-arid |
| url | http://www.mdpi.com/2072-4292/2/1/375/ |
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