Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs
| Autor: | Guttler, F., Alleaume, S., Corbane, C., Ienco, D., Nin, J., Poncelet, P., Teisseire, M. |
|---|---|
| Přispěvatelé: | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), UNIVERSITAT POLITECNICA DE CATALUNYA BARCELONA ESP, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Universitat Politècnica de Catalunya [Barcelona] (UPC), ADVanced Analytics for data SciencE (ADVANSE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Laboratoire d'étude des interactions entre sols, agrosystèmes et hydrosystèmes (LISAH), Institut National de la Recherche Agronomique (INRA), University of Waikato [Hamilton] |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
NATURAL HABITATS MONITORING
GRAPH REPRESENTATION OBIA remote sensing time series SPOT4 Take-5 [SDE.IE]Environmental Sciences/Environmental Engineering [SDE]Environmental Sciences SPOT 4 [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ComputingMilieux_MISCELLANEOUS |
| Zdroj: | IGARSS IGARSS, Jul 2014, Québec, Canada. pp.3930-3933 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2014, Quebec City, Canada. pp.3930-3933, ⟨10.1109/IGARSS.2014.6947344⟩ IGARSS 2014-2014 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2014-2014 IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Quebec City, France. pp.3930-3933 |
| DOI: | 10.1109/IGARSS.2014.6947344⟩ |
| Popis: | International audience; High repetitivity remote sensing could substantially improve natural habitats monitoring and mapping in the next years. However, dense time series of satellite images require new processing methodologies. In this paper we proposed an approach which combines Object Based Image Analysis (OBIA) and k-partite graphs for detecting spatiotemporal evolutions in a Mediterranean protected site composed of several types of natural and semi-natural habitats. The method was applied over a recent dataset (SPOT4 Take-5) specially conceived to simulate the acquisition frequency of the future Sentinel-2 satellites. The results indicate our method is capable to synthesize complex spatiotemporal evolutions in a semi-automatic way, therefore offering a new tool to analyze high repetitivity satellite time series. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|