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This article presents the results of the GIS-based analysisof four Landsat and Spot images covering a fifteenyear period (1987, 1994, 2000, 2002). The purposeof the study was to establish a means of rapidly determiningland cover and land use changes, as well as spatialpatterns of erosion and deposition, in areas withrelatively poor data bases and where soil loss resultsprimarily from nonchannelized flows. The procedureselected involved the following: establishment of landuse class distribution and size for each year of observation,static estimation of soil loss, calculation of neterosion and deposition, and prioritisation of criticalareas. Thus, for the targeted 123 km<sup>2</sup> Tlata catchmentof northeastern Morocco, six main land use classescould be defined (highly degraded lands, annual cerealcrops fields, mixed farmlands, olive trees, reforestedareas, and natural protected forest). Analysis of remotesensing data allowed establishment of the areal distributionof each land use class for each year. Soil losswas estimated using a RUSLE module integrated ina GIS framework. These static areal estimates of soilloss were then fed into a sedimentation algorithm thatmodels downslope movement of soil loss. From theresulting spatial (flow) movements, net erosion anddeposition for each time period could be estimated.The results permit, at the least, an ordinal ranking oferosion and deposition within the basin. This supportsdecision-making processes on prioritization of areaswhere interventions are needed to ameliorate or preventland degradation

Modeling soil erosion and deposition within a Mediterranean mountainous environment utilizing remote sensing and GIS – Wadi Tlata, Morocco