4.7 Article

A cloud-integrated GIS for forest cover loss and land use change monitoring using statistical methods and geospatial technology over northern Algeria

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 341, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2023.118029

Keywords

Forest cover; Google earth engine; Geographic information system; Nonparametric methods; Management; Algeria

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This paper assesses trends in forest cover loss and land use changes in northern Algeria between 2000 and 2020 using datasets extracted from Google Earth Engine. The results showed a significant decrease in forest area and an increase in barren land, with the Constantinois-Seybousse-Mellegue hydrographic basin being the most affected by deforestation. Nonparametric tests indicated increasing trends of forest cover loss in seven river basins. The study emphasizes the alarming situation of forest loss in Algeria and the need for urgent measures to protect forests and the ecological system.
Over the last two decades, forest cover has experienced significant impacts from fires and deforestation worldwide due to direct human activities and climate change. This paper assesses trends in forest cover loss and land use and land cover changes in northern Algeria between 2000 and 2020 using datasets extracted from Google Earth Engine (GEE), such as the Hanssen Global Forest Change and MODIS Land Cover Type products (MCD12Q1). Classification was performed using the pixel-based supervised machine-learning algorithm called Random Forest (RF). Trends were analyzed using methods such as Mann-Kendall and Sen. The study area comprises 17 basins with high rainfall variability. The results indicated that the forest area decreased by 64.96%, from 3718 to 1266 km2, during the 2000-2020 period, while the barren area increased by 40%, from 134,777 to 188,748 km2. The findings revealed that the Constantinois-Seybousse-Mellegue hydrographic basin was the most affected by deforestation and cover loss, exceeding 50% (with an area of 1018 km2), while the Seybouse River basin experienced the highest percentage of cover loss at 40%. Nonparametric tests showed that seven river basins (41%) had significantly increasing trends of forest cover loss. According to the obtained results, the forest loss situation in Algeria, especially in the northeastern part, is very alarming and requires an exceptional and urgent plan to protect forests and the ecological system against wildfires and climate change. The study provides a diagnosis that should encourage better protection and management of forest cover in Algeria.

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