This document is a map of land and vegetation cover of the North Bank Region of the Gambia produced by the National Environment Agency of the Gambia (NEA). It is reproduced as a background map in 2015 by Constantine Kouevi, student WASCAL MRP-The Gambia, in her Master thesis. This study shows that there is a densification of human activities in this geographical space, which explains a high human concentration. Land management policies depend on the quality of natural resource management. This can lead to potential conflicts.

Land use/cover classification of West Africa based on multi-sensor earth observation data. The regional land cover/use map for West Africa has a spatial resolution of 250 m. It is based on earth observation data from three optical and radar sensors. Annual time series of the optical Moderate Resolution Imaging Spectroradiometer (MODIS) are used for discriminating semi-natural vegetation classes and agricultural classes. Envisat Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS) time series, in combination with MODIS data, are used for delineating permanent and seasonal water bodies. Built-up areas of two density classes are mapped based on radar imagery collected by the satellites TanDEM-X and TerraSAR-X. The accuracy assessment of the multi-sensor land cover map yields an overall accuracy of 80% at legend level 1 (9 classes) and 73% at the more detailed legend level 2 (14 classes). For further details on the mapping approach and a discussion of strengths and limitations on the approach and dataset, we refer to the following publication: Gessner, Ursula; Machwitz, Miriam; Esch, Thomas; Tillack, Adina; Naeimi, Vahid; Kuenzer, Claudia; Dech, Stefan (2015): Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data. Remote Sensing of Environment, accepted.

Land use / land cover classification of the districts Bolgatanga and Bongo in Ghana based on very high resolution remote sensing data (5m). Focus of the classification is on the agricultural class, where single crop types are discriminated. Remote sensing base: RapidEye, TerraSAR-X, Landsat.

The questionnaire was conducted in August 6 - 8, 2014, with 7 PhD and MSc participants of the "First International Conference on Enhancing Resilience to Climate and Ecosystem Changes in Semi-arid Africa" in Tamale, Ghana. The questionnaire was based on a survey on Drivers of Land Use and Land Cover Change (LULCC), Trends of Land Use Types/Crop Types in the Upper East Region (Ghana), conducted between March and December 2014 with researchers in Ghana.