A mediterranean vegetated coastal area has been classified on the basis of multi-temporal TM images and accurate field data. The latter was revealed to be particularly important due to the complexity of the area in terms of coverage degree, height structure of living vegetation and the occurrence of under-storey species. The recognition and classification of the different coenosis has taken into account that the spectral characteristics of vegetation depends on the season and on local climatic conditions. A major improvement in the spatial resolution of spectral data has been obtained by merging TM and SPOT-P by a RGB-IHS transformation that allowed an overall accuracy in the classification of 85 per cent to be achieved
Vegetation monitoring is an important tool in the evaluation of nature management in the coastal zon...
International audienceRemote sensing tools (RS) can contribute to a better understanding of the dive...
Socotra Island (Yemen), a global biodiversity hotspot, is characterized by high geomorphological and...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceDu...
Imagery provided by the NOAA Advanced Very High Resolution Radiometer (A VHRR) has proved to be very...
International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Se...
The aim of this study is to test the Spot 5 satellite imagery for the cartography of terrestrial veg...
16 pagesRemote sensing of land cover in Mediterranean regions is complicated by the high landscape d...
Land Cover/ Use mapping and classification algorithms require detailed information about the spectra...
This paper evaluates the predictive power of innovative and more conventional statistical classific...
Coastal environments are among the most threatened worldwide, undergoing numerous human-induced and ...
Mediterranean areas in Europe are subject to human induced changes. In Mediterranean France, land ab...
This study analysed a natural site located in Central Italy which is a part of the Circeo National P...
A Random Forest (RF) classifier was applied to spectral as well as mono- and multi-seasonal textural...
Maquis, which provides numerous ecosystem services and constitutes an integral part of the Mediterra...
Vegetation monitoring is an important tool in the evaluation of nature management in the coastal zon...
International audienceRemote sensing tools (RS) can contribute to a better understanding of the dive...
Socotra Island (Yemen), a global biodiversity hotspot, is characterized by high geomorphological and...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceDu...
Imagery provided by the NOAA Advanced Very High Resolution Radiometer (A VHRR) has proved to be very...
International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Se...
The aim of this study is to test the Spot 5 satellite imagery for the cartography of terrestrial veg...
16 pagesRemote sensing of land cover in Mediterranean regions is complicated by the high landscape d...
Land Cover/ Use mapping and classification algorithms require detailed information about the spectra...
This paper evaluates the predictive power of innovative and more conventional statistical classific...
Coastal environments are among the most threatened worldwide, undergoing numerous human-induced and ...
Mediterranean areas in Europe are subject to human induced changes. In Mediterranean France, land ab...
This study analysed a natural site located in Central Italy which is a part of the Circeo National P...
A Random Forest (RF) classifier was applied to spectral as well as mono- and multi-seasonal textural...
Maquis, which provides numerous ecosystem services and constitutes an integral part of the Mediterra...
Vegetation monitoring is an important tool in the evaluation of nature management in the coastal zon...
International audienceRemote sensing tools (RS) can contribute to a better understanding of the dive...
Socotra Island (Yemen), a global biodiversity hotspot, is characterized by high geomorphological and...