DocumentCode :
1756168
Title :
Detecting the Phenology and Discriminating Mediterranean Natural Habitats With Multispectral Sensors—An Analysis Based on Multiseasonal Field Spectra
Author :
Feret, Jean-Baptiste ; Corbane, Christina ; Alleaume, Samuel
Author_Institution :
Irstea, Montpellier, France
Volume :
8
Issue :
5
fYear :
2015
fDate :
42125
Firstpage :
2294
Lastpage :
2305
Abstract :
Due to their high degree of vegetation heterogeneity, fragmentation, and biodiversity, Mediterranean natural habitats are difficult to assess and monitor with in situ observations solely. Together with standardized ground plots and regular in situ measurements, remote sensing contributes to better understand the diversity of these habitats and their phenology. We used field spectroradiometry to simulate the radiometric signal corresponding to six multispectral satellites: 1) IKONOS, 2) Landsat 5 TM, 3) Landsat 8, 4) Pléiades, 5) Sentinel-2, and 6) WorldView-2. We compared the suitability of each sensor for the estimation of the cover fraction of photosynthetic vegetation (PV) observed for five types of habitats during a vegetation cycle from February to October 2013. We also analyzed the contribution of multiseasonal satellite acquisitions for habitat discrimination. We showed that multivariate regression applied to Worldview-2 reflectance produces the most accurate PV. This was explained by the higher number of spectral bands in the visible domain. Habitat discrimination based on monotemporal acquisitions showed better performances when PV was higher. Sentinel-2 and WorldView-2 outperformed other sensors for each individual date. Multitemporal acquisitions outperformed monotemporal acquisition for habitat discrimination. However, selecting all reflectance data acquired during the season resulted in suboptimal performances compared to more parsimonious combinations. Finally, all of them ranged between 86.6% and 89.2% classification accuracy with multiseasonal acquisitions. New strategies need to be designed to identify individual habitats of particular interest. Defining optimal multiseasonal remote-sensing acquisitions specific to each habitat and appropriate spectral and spatial resolution will contribute to improved discrimination of Mediterranean natural habitats.
Keywords :
artificial satellites; data acquisition; ecology; phenology; radiometry; reflectivity; remote sensing; vegetation; AD 2013 02 to 10; IKONOS satellite; Landsat 5 TM satellite; Landsat 8 satellite; Mediterranean natural habitat discrimination; Pleiades satellite; Sentinel-2 satellite; WorldView-2 satellite; Worldview-2 reflectance; cover fraction estimation; field spectroradiometry; habitat diversity; in situ measurement; monotemporal acquisition; multiseasonal field spectra; multiseasonal remote-sensing acquisition; multiseasonal satellite acquisition; multispectral sensors; multivariate regression; phenology detection; photosynthetic vegetation; radiometric signal; reflectance data; remote sensing; spatial resolution; spectral band; spectral resolution; standardized ground plot; vegetation biodiversity; vegetation cycle; vegetation fragmentation; vegetation heterogeneity; visible domain; Earth; Monitoring; Pollution measurement; Radiometry; Remote sensing; Satellites; Vegetation mapping; Phenology; simulation; spectral analysis; spectroscopy; vegetation;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2015.2431320
Filename :
7118634
Link To Document :
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