Publication: Mapping diversified peri-urban agriculture - potential of object-based versus per-field land cover/land use classification
Mapping diversified peri-urban agriculture - potential of object-based versus per-field land cover/land use classification
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Forster, D., Kellenberger, T. W., Bühler, Y., & Lennartz, B. (2010). Mapping diversified peri-urban agriculture - potential of object-based versus per-field land cover/land use classification. Geocarto International, 25, 171–186. https://doi.org/10.1080/10106040903243416
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High spatial resolution satellite data contribute to improving land cover/land use (LCLU) classification in agriculture. A classification procedure based on Quickbird satellite image data was developed to map LCLU of diversified agriculture at sub-communal and communal level (7 km2). Segmentation performance of the panchromatic band in combination with high pass filters (HPF) was tested first. Accuracy of field boundary delineation was evaluated by an object-based segmentation, a per-field and a manual classification, along with a qua
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Forster, D., Kellenberger, T. W., Bühler, Y., & Lennartz, B. (2010). Mapping diversified peri-urban agriculture - potential of object-based versus per-field land cover/land use classification. Geocarto International, 25, 171–186. https://doi.org/10.1080/10106040903243416