Lorey's height regression for ICESAT-GLAS waveforms in hyrcanian deciduous forests of Iran
2015
Rajab Pourrahmati, M. | Baghdadi, N. | Asghar Darvishsefat, A. | Namiranian, M. | Gond, V. | Bailly, Jean-Stéphane | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) | Faculty of Natural Resource ; University of Tehran | Biens et services des écosystèmes forestiers tropicaux : l'enjeu du changement global (UPR BSEF) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | AgroParisTech | Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH) ; Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS<br/>IGARSS 2015, Milan, ITA, 26-/07/2015 - 31/07/2015
Show more [+] Less [-]International audience
Show more [+] Less [-]English. Since Lidar technology provides the most direct measurements of 3D of phenomena, it plays a critical role in a variety of applications. Forest canopy height as a main factor in forest biomass estimation is costly and time consuming to be measured on the ground. This study aims to estimate Lorey's height “Hlorey” using GLAS data based on regression models. Different metrics like waveform extent “Wext”, trail-edge extent “Htrail” and lead-edge extent “Hlead” were extracted from waveforms and a terrain index “TI” was also calculated using a digital elevation model. Hlorey estimated using multiple regression models were compared to field measurements data. A 5-fold cross validation method was used to validate the results. Best model with lowest AIC (297.440) was resulted using combination of Wext and TI (R_a^2=0.72; RMSE= 5.04m). The results show capability of ICESat-GLAS to estimate Lorey's height in sloped area with a simple regression model. It is prospected to reach better result using other statistical methods and also improvement of processing techniques for LiDAR waveforms in the case of sloped terrain
Show more [+] Less [-]AGROVOC Keywords
Bibliographic information
This bibliographic record has been provided by AgroParisTech
