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

被引：31
作者：
Mohajane, Meriame [1 ]
Essahlaoui, Ali [2 ]
Oudija, Fatiha [1 ]
El Hafyani, Mohammed [2 ]
Teodoro, Claudia [3 ,4 ]
机构：
[1] Moulay Ismail Univ, Fac Sci, Dept Biol, Soil & Environm Microbiol Team, BP11201 Zitoune Meknes, Meknes, Morocco
[2] Moulay Ismail Univ, Fac Sci, Dept Geol, Water Sci & Environm Engn Team, BP11201 Zitoune Meknes, Meknes, Morocco
[3] Univ Porto, Fac Sci, Earth Sci Inst ICT, P-4169007 Oporto, Portugal
[4] Univ Porto, Fac Sci, Dept Geosci Environm & Land Planning, P-4169007 Oporto, Portugal
来源：
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | 2017年 / 6卷 / 09期
关键词：
Sentinel-2A; spectral angle mapper (SAM); QGIS; mapping; SPACEBORNE THERMAL EMISSION; SUPPORT VECTOR MACHINES; SPECTRAL ANGLE MAPPER; LAND-USE; ASTER DATA; COVER; CLASSIFICATION; IMAGERY; RECONSTRUCTION; CLASSIFIERS;
D O I：
10.3390/ijgi6090275
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：10
相关论文
共 58 条
[11]   Holocene climatic change in Morocco: a quantitative reconstruction from pollen data [J].
Cheddadi, R ;
Lamb, HF ;
Guiot, J ;
van der Kaars, S .
CLIMATE DYNAMICS, 1998, 14 (12) :883-890
[12]   Putative glacial refugia of Cedrus atlantica deduced from Quaternary pollen records and modern genetic diversity [J].
Cheddadi, R. ;
Fady, B. ;
Francois, L. ;
Hajar, L. ;
Suc, J. -P. ;
Huang, K. ;
Demarteau, M. ;
Vendramin, G. G. ;
Ortu, E. .
JOURNAL OF BIOGEOGRAPHY, 2009, 36 (07) :1361-1371
[13]   A spectral index for land degradation mapping using ASTER data: Application to a semi-arid Mediterranean catchment [J].
Chikhaoui, M ;
Bonn, F ;
Bokoye, AI ;
Merzouk, A .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2005, 7 (02) :140-153
[14]  
Chipman J.W, 2014, REMOTE SENSING IMAGE, P763
[15]   Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales [J].
Clark, ML ;
Roberts, DA ;
Clark, DB .
REMOTE SENSING OF ENVIRONMENT, 2005, 96 (3-4) :375-398
[16]  
Congedo L., 2015, Semi-automatic classification plugin documentation: release 4.3.0
[17]   Hydrothermal alteration mapping at Bodie, California, using AVIRIS hyperspectral data [J].
Crosta, AP ;
Sabine, C ;
Taranik, JV .
REMOTE SENSING OF ENVIRONMENT, 1998, 65 (03) :309-319
[18]   The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas [J].
Dalponte, Michele ;
Bruzzone, Lorenzo ;
Vescovo, Loris ;
Gianelle, Damiano .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (11) :2345-2355
[19]   Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization [J].
Dehaan, RL ;
Taylor, GR .
REMOTE SENSING OF ENVIRONMENT, 2002, 80 (03) :406-417
[20]  
DEIL U, 1988, REV GEOGR MAROC, V12, P17
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