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Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, Toulouse : France (2010)
Tree crown detection in high resolution optical and LiDAR images of tropical forest
Jia Zhou 1, Christophe Proisy 1, Xavier Descombes 2, Ihssen Hedhli 2, Nicolas Barbier 1, Josiane Zerubia 2, Jean-Philippe Gastellu-Etchegorry 3, Pierre Couteron 1
(2010-10-21)

Tropical forests are complex ecosystems where the potential of remote sensing has not yet been fully realized. The increasing availability of satellite metric imagery along with canopy altimetry from airborne LiDAR open new prospects to detect individual trees. For this objective, we optimized, calibrated and applied a model based on marked point processes to detect trees in high biomass mangroves of French Guiana by considering a set of 1m pixel images including 1) panchromatic images from the IKONOS sensor 2) LiDAR-derived canopy 2D altimetry and 3) reflectance panchromatic images simulated by the DART-model. The relevance of detection is then discussed considering: (i) the agreement in space of detected crown centers locations with known true locations for the DART images and also the detection agreement for each pair of IKONOS and LiDAR images, and (ii) the comparison between the frequency distributions of the diameters of the detected crowns and of the tree trunks measured in the field. Both distributions are expected to be related due to the allometry relationships between trunk and crown.
1:  BotAnique et BioinforMatique de l'Architecture des Plantes (AMAP)
Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR51 – CNRS : UMR5120 – Institut de recherche pour le développement [IRD] – Institut national de la recherche agronomique (INRA) : UR0931 – Université Montpellier II - Sciences et techniques
2:  ARIANA (INRIA Sophia Antipolis / Laboratoire I3S)
INRIA – Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271
3:  Centre d'études spatiales de la biosphère (CESBIO)
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
Computer Science/Image Processing
Tropical forest – tree detection – mangrove – marked point process – IKONOS – LiDAR – DART
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