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Using remote sensing and GIS for assessing and mapping land use and land qualities in the hawkesbury-nepean river catchment, Australia
Baja S.
Geocarto International
Q1Abstract
Abstract A methodological framework of land resource assessment, based on integrated biophysical information of the land in GIS and remote sensing is presented. The model developed uses two primary sub‐models (modules): remote sensing based land use classification, and land suitability assessment. The first module uses Landsat 7 ETM+ images to produce a land use/land cover map of the study area. A site‐specific framework was developed for use in thematic information extraction involving the use of visual analysis, spectral‐based (automated) procedures, and ancillary information. The second sub‐model implements a fuzzy set methodology, and uses soil landscape data sets and a Digital Elevation Model as evaluation criteria. The databases used were all georeferenced and standardised in a GIS format, enabling spatial analyses for possible pairings of data sets to be performed in order to derive new information sub‐sets. A test case is presented to map the spatial distribution of runoff Curve Number (CN) using soil landscape data, which were also used for land suitability evaluation, along with existing land use/land cover information. The strategies and analytical procedures developed in this research may be useful in other areas, particularly in projects related to mapping biophysical resources for sustainable land use planning and management.