Prédire la structure des forêts tropicales humides calédoniennes : analyse texturale de la canopée sur des images pléiades

Abstract : Large-scale characterization of tropical rainforest is a challenge for their conservation and management. Very high spatial resolution images as provided by the Pléiades satellites offer new opportunities to study the structural organization of heterogeneous rainforests with limited accessibility. In this study, we have evaluated the potential of Pléiades images to map structural parameters of New Caledonian rainforests by analyzing texture of forest canopies. We have applied the Fourier transform textural ordination (FOTO) method to very high spatial resolution images to compute texture indices of canopy grain (i.e. a combination of size distribution and spatial pattern of tree crowns). The results have showed that this method was promising to isolate the rainforest from other types of vegetation, and to highlight their structural diversity on a large scale. Finally, this case study showed that the use of Pléiades images is promising to predict the structure of rainforests.
Document type :
Journal articles
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

http://hal.ird.fr/ird-01137604
Contributor : Christophe Proisy <>
Submitted on : Tuesday, March 31, 2015 - 8:44:47 AM
Last modification on : Friday, March 29, 2019 - 9:10:41 AM
Long-term archiving on : Wednesday, July 1, 2015 - 11:42:30 AM

File

Blanchard15.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : ird-01137604, version 1

Collections

Citation

Elodie Blanchard, Philippe Birnbaum, Christophe Proisy, Thomas Ibanez, Hervé Vandrot, et al.. Prédire la structure des forêts tropicales humides calédoniennes : analyse texturale de la canopée sur des images pléiades. Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, 2015, Pléiades Days 2014 (2ème partie), pp.141-147. ⟨ird-01137604⟩

Share

Metrics

Record views

542

Files downloads

765