Mapping Forest Species in the Central Middle Atlas of Morocco (Azrou Forest) through Remote Sensing Techniques

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Ana Teodoro (Autor) FCUP

Revista

Título: ISPRS International Journal of Geo-Information

Vol. 6

Página Final: 275

Editora: MDPI

Indexação

ISI Web of Knowledge - 24 Citações

Scopus - 29 Citações

Outras Informações

ID Authenticus: P-00N-0VC

DOI: 10.3390/ijgi6090275

Abstract (EN): The studies of forest ecosystems from remotely-sensed data are of great interest to researchers because of ecosystem services provided by this ecosystem, including protection of soils and vegetation, climate stabilization, and regulation of the hydrological cycle. In this context, our study focused on the use of a spectral angle mapper (SAM) classification method for mapping species in the Azrou Forest, Central Middle Atlas, Morocco. A Sentinel-2A image combined with ground reference data were used in this research. Four classes (holm oak, cedar forest, bare soil, and others-unclassified) were selected; they represent, respectively, 27, 11, 24, and 38% of the study area. The overall accuracy of classification was estimated to be around 99.72%. This work explored the potential of the SAM classification combined with Sentinel-2A data for mapping land cover in the Azrou Forest ecosystem.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10