Integration of spaceborne lidar data to improve the forest biomass map in madagascar

El Hajj Mohammad, Baghdadi Nicolas, Fayad Ibrahim, Vieilledent Ghislain, Bailly Jean Stéphane, Ho Tong Minh Dinh. 2017. Integration of spaceborne lidar data to improve the forest biomass map in madagascar. In : 37th IEEE International Geoscience and Remote Sensing Symposium proceedings : International Cooperation for Global Awareness. IEEE , IGARSS. New York : IEEE-IGARS, 5786-5789. ISBN 978-1-5090-4951-6 International Geoscience and Remote Sensing Symposium (IGARSS 2017), Fort Worth, États-Unis, 23 Juillet 2017/28 Juillet 2017.

Résumé : This study aimed to assess the potential of GLAS (Geoscience Laser Altimeter System) LiDAR data to overcome the saturation at high AGB values of existing AGB map on Madagascar (Vieilledent's AGB map [1]). First, spatially distributed estimations of AGB were obtained from GLAS data. Second, the difference between the Vieilledent's AGB map and GLAS derived AGB at each GLAS footprints location was calculated and a spatially distributed additional correction factors were obtained. Thanks to the spatial structure of these additional correction factors, an ordinary kriging interpolation was thus performed to provide a continuous correction factor map. Finally, the existing and the correction factor map were summed to improve the Vieilledent's AGB map. Results showed that the integration of GLAS data overcome the saturation at high AGB of Vieilledent's AGB map and allow AGB estimation until 650 t/ha (maximum AGB values from Vieilledent AGB map was 550 t/ha).

Auteurs et affiliations

• El Hajj Mohammad, IRSTEA (FRA)
• Baghdadi Nicolas, IRSTEA (FRA)
• Fayad Ibrahim, IRSTEA (FRA)
• Vieilledent Ghislain, CIRAD-ES-UPR Forêts et sociétés (ITA) ORCID: 0000-0002-1685-4997
• Bailly Jean Stéphane, AgroParisTech (FRA)
• Ho Tong Minh Dinh, IRSTEA (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/598980/)

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