Title :
Mapping dry forest in Central African Republic using optical and radar data
Author :
Fichet, L.V. ; Sannier, C. ; Mermoz, S. ; Pennec, A. ; Le Toan, T.
Author_Institution :
Syst. d´Inf. a Reference Spatiale, Villeneuve-d´Ascq, France
Abstract :
About 42% of tropical forests around the world are considered as seasonally dry and its removal contributes to a significant proportion of the 7-20% of the total greenhouse gas emissions known to originate from deforestation and forest degradation. This study focus on two methodologies using both optical and radar data developed and tested for dry forest deforestation/degradation assessment in Central African Republic (CAR) within the REDD+ context. The study area is located across three provinces of CAR: Sangha Mbaéré, Lobaye and Ombella-M´Poko representing an area of 47 640 km2.
Keywords :
air pollution; remote sensing by radar; vegetation; vegetation mapping; CAR provinces; Central African Republic; Lobaye province; Ombella-M´Poko province; REDD+ context; Sangha Mbaere province; deforestation assessment; degradation assessment; dry forest mapping; forest degradation; optical data; radar data; total greenhouse gas emissions; tropical forests; Accuracy; Adaptive optics; Biomedical optical imaging; Laser radar; Optical imaging; Optical sensors; Vegetation; Dry-forest mapping; REDD+; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946939
