Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR Data: application on French Guiana

Abstract : LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage. In this study, we present a technique for canopy height mapping using airborne and spaceborne LiDAR data (from the Geoscience Laser Altimeter System (GLAS)). First, canopy heights extracted from both airborne and spaceborne LiDAR were extrapolated from available environmental data. The estimated canopy height maps using Random Forest (RF) regression from airborne or GLAS calibration datasets showed similar precisions (~6 m). To improve the precision of canopy height estimates, regression-kriging was used. Results indicated an improvement in terms of root mean square error (RMSE, from 6.5 to 4.2 m) using the GLAS dataset, and from 5.8 to 1.8 m using the airborne LiDAR dataset. Finally, in order to investigate the impact of the spatial sampling of future LiDAR missions on canopy height estimates precision, six subsets were derived from the initial airborne LiDAR dataset. Results indicated that using the regression-kriging approach a precision of 1.8 m on the canopy height map was achievable with a flight line spacing of 5 km. This precision decreased to 4.8 m for flight line spacing of 50 km.
Liste complète des métadonnées

Littérature citée [44 références]  Voir  Masquer  Télécharger

https://hal.umontpellier.fr/hal-01943016
Contributeur : Yannick Brohard <>
Soumis le : lundi 3 décembre 2018 - 15:34:21
Dernière modification le : mercredi 18 septembre 2019 - 16:04:05
Document(s) archivé(s) le : lundi 4 mars 2019 - 15:11:20

Fichier

remotesensing-08-00240.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale 4.0 International License

Identifiants

Citation

Ibrahim Fayad, Nicolas Baghdadi, Jean-Stéphane Bailly, Nicolas Barbier, Valéry Gond, et al.. Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR Data: application on French Guiana. Remote Sensing, MDPI, 2016, 8 (3), pp.240 (1-18). ⟨10.3390/rs8030240⟩. ⟨hal-01943016⟩

Partager

Métriques

Consultations de la notice

148

Téléchargements de fichiers

154