The main approaches that LTS uses in its projects for soil modelling are SWAT (Soil and Water Assessment Tool) and SLEMSA (Soil Loss Estimator for Southern Africa). A number of other models can be applied provided the data is available and methodology is clearly outlined.
For water catchment work, our team use topographic and geospatial analysis of a number of parameters and use high resolution DEM’s (digital elevation models) to identify the catchments themselves at varying scales as well as using data to determine sediment and hydrological condition. Flow patterns can be analysed to identify areas of water accumulation areas and streams.
Optical and radar satellite imagery can be used to determine areas of flooding. Satellite imagery acquired before and after flooding enable assessment of the extent of damage through the application of specifically-designed change detection algorithms. Likewise, changes in bodies of water (including lakes, reservoirs, large rivers, seas and oceans) can be measured and monitored over time using radar or optical remotely sensed data. The size and scale of expected change of the water are main factor in determining most appropriate data sets to use.