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

fYear

2014

fDate

13-18 July 2014

Firstpage

2336

Lastpage

2339

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946939

Filename

6946939