Land use determination using satellite image classification for the purposes of hydrological modelling in the Rižana spring catchment
AbstractIn this paper the satellite image classification for the landuse (distribution of vegetation classes) determination in the study area of Rižana spring catchment is presented. The landuse is the basic spatial data for the modelling of evapotranspiration in a hydrological model that was developed in the study area. The results of the classification show that the biggest part of the study area is covered by deciduous forest (32 %), followed by grassland (19 %), shrub (19 %), agricultural areas (18 %), coniferous forest (10 %) and areas with no or sparse vegetation (2 %). The advantage of using classification is its fastness in acquiring new data and its ability to determine user-defined classes that incorporate vegetation types according to their influence in the hydrological cycle.
How to Cite
Janža, M. (2005). Land use determination using satellite image classification for the purposes of hydrological modelling in the Rižana spring catchment . Geologija, 48(1), 153–160. https://doi.org/10.5474/geologija.2005.014