Paper
22 October 2010 Tree crown detection in high resolution optical and lidar images of tropical forest
Jia Zhou, Christophe Proisy, Xavier Descombes, Ihssen Hedhli, Nicolas Barbier, Josiane Zerubia, J. P. Gastellu-Etchegorry, Pierre Couteron
Author Affiliations +
Abstract
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. Results are encouraging provided that crown sizes sufficiently large compared to 1m pixels.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jia Zhou, Christophe Proisy, Xavier Descombes, Ihssen Hedhli, Nicolas Barbier, Josiane Zerubia, J. P. Gastellu-Etchegorry, and Pierre Couteron "Tree crown detection in high resolution optical and lidar images of tropical forest", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78240Q (22 October 2010); https://doi.org/10.1117/12.865068
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Cited by 11 scholarly publications.
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KEYWORDS
LIDAR

Earth observing sensors

High resolution satellite images

Image processing

Image resolution

Remote sensing

Sun

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