Description
This repository contains data and scripts for implementing the Iterative Mapping of Probabilities (IMP) algorithm proposed in the preprint submitted to the International Journal of Applied Earth Observation and Geoinformation (JAG). The framework aims to improve the accuracy of land cover mapping by iteratively refining class maps to match independent area statistics. The experiment focuses on generating classification maps for five countries (Belgium, Czechia, Germany, Luxembourg, Netherlands) based on input probability rasters.
| Date made available | 9 Feb 2024 |
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| Publisher | Wageningen University & Research |
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Iterative mapping of probabilities: A data fusion framework for generating accurate land cover maps that match area statistics
Witjes, M., Herold, M. & de Bruin, S., Jul 2024, In: International Journal of applied Earth Observation and Geoinformation. 131, 103932.Research output: Contribution to journal › Article › Academic › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Iterative Mapping of Probabilities (IMP): A data fusion framework for generating accurate land cover maps that match area statistics
Witjes, M., Herold, M. & de Bruin, S., 25 Oct 2023, Research Square, 39 p.Research output: Working paper › Preprint
Open Access
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