NDLI: Deforestation detection and monitoring in cedar forests of the moroccan Middle-Atlas mountains

Content Provider	IEEE Xplore Digital Library
Author	Haboudane, D. Bahri, E.-M.
Copyright Year	2007
Description	Author affiliation: Univ. du Quebec a Chicoutimi, Chicoutimi (Haboudane, D.; Bahri, E.-M.)
Abstract	The main objective of this study was to identify areas of deforestation/reforestation in the Middle-Atlas cedar forest and monitor their temporal dynamics. The aim was to detect a detailed "from-to" change information; it targets a quantitative estimation of the extent and the magnitude of the changes affecting major identified species of the Moroccan cedar ecosystem: cedar, oak, and deciduous. The major challenge was to identify changes of interest such as identifying the change due to a selective logging which consists on cutting cedar canopy trees while sparing the understory oak trees. To address these issues and achieve our objectives, we adopted a methodology with two main stages. First, we mapped major forest species from multidate satellite images (Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)) using maximum likelihood classification (MLQ and spectral mixture analysis (SMA). Second, we performed change detection assessment using two procedures: (i) image products differencing to assess the overall change in the forest cover, (ii) post-classification comparisons using the outputs of the MLC and the relative abundances of forest species as determined by SMA. Results have shown the following: logging has decreased cedar area in a proportion of 12% while reforestation has yielded an increase of 8% in cedar forest; in oak forest, the increment (21%) has exceeded the deforestation effect (17%); conversely, deciduous have either degraded (11%) or remained stable (21%).
Starting Page	4327
Ending Page	4330
File Size	464564
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423809
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Ecosystems Satellite broadcasting Reflection Radiometry Maximum likelihood detection Maximum likelihood estimation Image analysis Spectral analysis Degradation MSAVI Spectral unmixing maximum likelihood change detection ASTER Landsat (TM, ETM+) deforestation
Content Type	Text
Resource Type	Article

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