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Short course

23rd – 25thJuly 2019 at Kenyatta University Conference Center, Nairobi, Kenya


More than 80% of Kenya is arid and semi-arid land (ASAL) where access to water is a sensitive issue, with a high competition for this natural resource. Large-scale deforestation over the last 40 years has stripped away the natural ecosystem services in these areas, and increasing climate variability and changing socio-economic conditions are exacerbating the dire situation. A lack of water points for animals often forces the local pastoralists to reduce their mobility and use the water resources of the sedentary populations, thereby generating conflict among ethnic groups. Rainfall deficits can induce rain-fed crop losses, posing a threat to food security through reduced harvest and increased food prices. Water security in Kenya’s ASALs presents a sustainable development challenge.

The ASALI Project conducted the GIS application training between 8th - 11th July 2019 for ASALI team and other members of staff at Kenyatta University Conference Center. The training was on spatial methods for supporting sustainable landuse and management. The training involved the use of QGIS open source software in carrying out analysis of satellite imagery for landuse and landcover characterization and in monitoring land degradation. It resulted in the trainees acquiring new skills applicable in their project work among which is image classification, landscape ecology statistics and linear and logistic regression in QGIS.