Evaluating land cover types from Landsat TM using SAGA GIS for vegetation mapping based on ISODATA and K-means clustering
The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods of SAGA GIS: ISODATA and K-means clustering. The approaches were tested and compared for land cover type mapping. Vegetation areas were detected and separated from other land cover t...
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| Format: | Article |
| Language: | English |
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University of Kragujevac, Faculty of Agronomy, Cacak
2021-01-01
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| Series: | Acta Agriculturae Serbica |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-9542/2021/0354-95422152159L.pdf |