Siwe Ngamabou, R. (2006) Evaluating the Efficacy of Remote Sensing Techniques in Monitoring Forest Cover and Forest Cover Change in the Mount Cameroon Region. Doctorate Thesis, Department of Remote Sensing and Landscape Information Systems, Faculty of Forestry, and Environmental Sciences, Albert Ludwigs University, Freiburg im Breisgau.

has been cited by the following article:

• TITLE: Change Detection: Estimating the Footprint of the Kribi Agro-Industrial and Urban Port Complex (Cameroon) from Landsat Imagery

  AUTHORS: Jean Megope Foonde

  KEYWORDS: Bi-Temporal Assessment, Change Detection, Land Cover, Landsat, Remote Sensing

  JOURNAL NAME: Open Access Library Journal, Vol.5 No.5, May 15, 2018

  ABSTRACT: In the coastal South region of Cameroon, 26.000 ha of land once covered by forest is doomed by the development of a significant infrastructure: the Kribi Agro-Industrial and Urban Port Complex. Important earthwork was undertaken to set-up this “structuring project” which is presented as the ultimate propeller for the industrialization of the entire Central Africa region. This paper is the first of a series aiming to use pixel-based digital image differencing to determine the footprint of the Kribi Agro-Industrial and Urban Port Complex at its present stage of development. Hopefully it triggers sound decisions and awareness on the fate of this biome, part of the Congo Rainforest.