Monitoring the phenology of mediterranean natural habitats with multispectral sensors: an analysis based on multiseasonal field spectra
| Autor: | Corbane, C., Guttler, F., Alleaume, S., Ienco, D., Teisseire, Maguelonne |
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| Přispěvatelé: | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), 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) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
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| Zdroj: | IGARSS 2014 International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Sensing, CSRS 2014 International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Sensing, CSRS 2014, Jul 2014, Québec, Canada. pp.3934-3937, ⟨10.1109/IGARSS.2014.6947345⟩ |
| DOI: | 10.1109/IGARSS.2014.6947345⟩ |
| Popis: | International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Sensing, CSRS 2014, Québec, CAN, 13-/07/2014 - 18/07/2014; International audience; Due to their high degree of vegetation heterogeneity,fragmentation and biodiversity, Mediterranean naturalhabitats are difficult to assess and monitor with in-situobservations solely. Together with standardized groundplots and regular in-situ measurements, remote sensing is apowerful monitoring device that can contribute to a betterunderstanding of the diversity of natural and semi-naturalhabitats and to monitor their phenology. In this paper, weimplemented a systematic test of the suitability ofmultiseasonal remote sensing data for monitoring thephenological variations of natural habitats in aMediterranean landscape. Six multispectral sensor signalswere simulated for comparison based on their spectralresponse curves and in-situ averaged spectra collected atmonthly intervals between February and October 2013(IKONOS, Landsat 5 TM, Landsat 8, Pléiades, Sentinel-2,and Worldview-2). The simulations and comparisonsperformed in this test showed that Sentinel-2 sensor has thehigher sensitivity to the variations in the coverage ofphotosynthetic vegetation thus offering interestingperspectives for operational monitoring of natural habitats. |
| Databáze: | OpenAIRE |
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