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  • 标题:Assessing Forest Cover Change and Deforestation Hot-Spots in the North Kivu Province, DR-Congo Using Remote Sensing and GIS
  • 本地全文:下载
  • 作者:Musumba Teso Philippe ; Katcho Karume
  • 期刊名称:American Journal of Geographic Information System
  • 印刷版ISSN:2163-1131
  • 电子版ISSN:2163-114X
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:39-54
  • DOI:10.5923/j.ajgis.20190802.01
  • 语种:English
  • 出版社:Scientific & Academic Publishing Co.
  • 摘要:Since the advent of plant and animal domestication, humans have been alternating the land cover to satisfy their needs. In many developing countries, the forest patterns have been reduced in replacement to non-forest areas such as agriculture land. This study assessed the change in the land cover/use and analysed the deforestation hot-spots of the North Kivu province in the Eastern part of the Democratic Republic of Congo (DRC). Landsat 7 ETM+ and Landsat 8 OLI/TIRS images were used to quantify temporal change between 2001 and 2015. Supervised classification techniques were performed using ArcGIS 10.3 ESRI software and Change Detection was performed with the Remote Sensing software ERDAS Imagine 2014. Getis–Ord (Gi*) spatial statistics tool of ArcGIS 10.3 software was used to identify deforestation hot-spots whose presence was confirmed by the Spatial Autocorrelation (Global Moran I). With reference to forest cover change, the results reveal an overall change, from 2001 to 2015, of 1,381,003 ha (30%) for forest loss and 404,380 ha (9%) for forest gain. The study concluded that agriculture is the major factor impacting 89.66% of the forest loss due to agriculture expansion. It also revealed the presence of hot-spots areas with a Z score of 92 and P-value of 0.0000 especially along the main roads and major towns.
  • 关键词:Land use/cover; Change detection; Forest; Remote Sensing; GIS; Hotspot analysis; North Kivu
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