Abstract
Peri-urban forests are subject to different dynamics due to several factors. Nfifikh forest is a man-made space, located in suburban of Mohammedia City, belonging to Casablanca, Settat Region, and geographically between Casablanca, the economic and business Capital of Morocco and Rabat, the national political capital. Over the past three decades, it has experienced several significant degradations. The aim of this study is to evaluate and quantify the deforestation within the study area using a forest cover change detection of various vegetation indices and subpixel classification to pick out high density plots with Landsat images TM, ETM+ and OLI. Remote sensing is used to highlight the changes caused through Space-Time. This monitoring might help managers to generate forest management plans and to moderate the speed of deforestation and degradation. The results show a significant change in vegetation cover detected between 1987 and 2015. The Density increased in 2001 while it decreased considerably in 2015.
Highlights
According to the first Forest Inventory in Morocco conducted between 1990 and 2005, forests cover an area of about 9 million hectares, or 12.7% of the national territory [1]
The aim of this study is to evaluate and quantify the deforestation within the study area using a forest cover change detection of various vegetation indices and subpixel classification to pick out high density plots with Landsat images Thematic Mapper (TM), ETM+ and Operational Land Imager (OLI)
At Sumatra Island in Indonesia, mapping and monitoring deforestation and forest degradation were realized by Margono et al [11]
Summary
According to the first Forest Inventory in Morocco conducted between 1990 and 2005, forests cover an area of about 9 million hectares, or 12.7% of the national territory [1]. Moroccan poorly managed forest biodiversity is degrading because of the loss of natural resources. These green spaces are over frequented by eco-tourists who damage the landscape with waste that sometimes causes wildfires [2]. Vegetation indices are very useful to evaluate the performance of the spatial coverage [12] [13] [14] [15] Some of these studies were based on Normalized Difference Vegetation Index differencing Change Detection [16] [17], Soil-Adjusted Vegetation Index [18], Tasseled Cap [15] and Subpixel classification [19]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
