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- W2187504147 abstract "This talk will discuss the development of a new Sou th African Land-Cover dataset that will be generated from remotely sensed imagery using aut omated mapping techniques. Automated modelling procedures offer significant advantages i n terms of data standards, processing time, repeatability and accurate change detection; when c ompared to more conventional image mapping approaches. Building on GeoTerraImage’s significant past experience in land-cover mapping, a new automated mapping approach has been successfull y developed. This has now been implemented as an operational procedure for generat ing base-level land-cover patterns from multiseasonal Landsat 8 imagery circa 2013-14. This proc ess allows rapid production of foundation cover classes that can be easily converted into mor e detailed land-cover information categories. Furthermore the technique can be retrospectively ap plied to historical Landsat imagery in order to generate historical land-cover datasets for change detection. This method is now being used to produce a new 2013 South African national land-cove r dataset, which will be followed by comparable historical land-cover data." @default.
- W2187504147 created "2016-06-24" @default.
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- W2187504147 date "2013-01-01" @default.
- W2187504147 modified "2023-09-26" @default.
- W2187504147 title "DEVELOPMENT OF A NEW SOUTH AFRICAN LAND-COVER DATASET USING AUTOMATED MAPPING TECHINQUES." @default.
- W2187504147 hasPublicationYear "2013" @default.
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