Test of different classification methodologies for land cover mapping over France using SPOT/VEGETATION data: applications to the years 2002 and 2003
The present study aims at testing several methodologies of land cover mapping over France at 1 km resolution based on the remotely sensed observations provided by the operational SPOT 4-5/VEGETATION (VGT) Earth observing system. Neural networks classifications are performed to test alternatives for...
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| creator | Kyung-Soo Han Tanguy, Y. Champeaux, J.-L. Hagolle, O. |
| description | The present study aims at testing several methodologies of land cover mapping over France at 1 km resolution based on the remotely sensed observations provided by the operational SPOT 4-5/VEGETATION (VGT) Earth observing system. Neural networks classifications are performed to test alternatives for the classification of multi-temporal remote sensing data, such as normalized reflectance data and 10-day maximum value composite NDVI (normalized difference vegetation index). The new products shows an improvement of the accuracy compared to Global Land Cover 2000 project (GLC 2000) map over France. |
| doi_str_mv | 10.1109/IGARSS.2004.1369861 |
| format | Conference Proceeding |
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| identifier | ISBN: 0780387422 |
| ispartof | IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004, Vol.4, p.2713-2716 vol.4 |
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| language | eng |
| recordid | cdi_pascalfrancis_primary_18280939 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Applied geophysics Clouds Discrete cosine transforms Earth sciences Earth, ocean, space Exact sciences and technology Internal geophysics Multi-layer neural network Neural networks Polynomials Reflectivity Remote sensing Spatial resolution System testing Vegetation mapping |
| title | Test of different classification methodologies for land cover mapping over France using SPOT/VEGETATION data: applications to the years 2002 and 2003 |
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