Dataset Associated with the Landscape Character Assessment of Nigeria: A Machine-assisted Learning Approach

DOI:10.4121/f7e4e2f9-a97c-4259-86bc-4840bc95be2f.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/f7e4e2f9-a97c-4259-86bc-4840bc95be2f
Datacite citation style:
Eneche, Patrick Samson Udama; Atun, Funda; Zeng, Y. (Yijian); Pfeffer, Karin (2025): Dataset Associated with the Landscape Character Assessment of Nigeria: A Machine-assisted Learning Approach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f7e4e2f9-a97c-4259-86bc-4840bc95be2f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset comprises the results of the landscape character assessment of Nigeria based on the utilization of machine-assisted learning techniques and open geospatial data. The dataset includes the final classification of landscape types and all intermediate data generated throughout the study, as documented in the associated GitHub repository. See the README file attached. The dataset can be leveraged for various applications, including but not limited to project site(s) selection, landscape monitoring and management, conservation planning, and sustainable landscape development initiatives in Nigeria.

History

  • 2025-03-12 first online, published, posted

Publisher

4TU.ResearchData

Format

.svg, .png, .xlsx, .csv, .geojson, .zip

Organizations

University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC).

DATA

Files (3)