Title :
Test of different classification methodologies for land cover mapping over France using SPOT/VEGETATION data: applications to the years 2002 and 2003
Author :
Han, Kyung-Soo ; Tanguy, Yannick ; Champeaux, Jean-Louis ; Hagolle, Oliver
Author_Institution :
CNRM/GMME/MATIS, METEO-FRANCE, Toulouse, France
Abstract :
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.
Keywords :
geophysical signal processing; image classification; image resolution; neural nets; terrain mapping; vegetation mapping; AD 2002; AD 2003; Earth observing system; France; GLC 2000 map; Global Land Cover project; SPOT-VEGETATION data; image classification; image resolution; land cover mapping; maximum value composite NDVI; multitemporal remote sensing data; neural networks classification; normalized difference vegetation index; normalized reflectance data; Clouds; Discrete cosine transforms; Multi-layer neural network; Neural networks; Polynomials; Reflectivity; Remote sensing; Spatial resolution; System testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369861
