cff-version: 1.2.0
abstract: "<p>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.</p>"
authors:
  - family-names: Eneche
    given-names: Patrick Samson Udama
    orcid: "https://orcid.org/0000-0002-0504-9677"
  - family-names: Atun
    given-names: Funda
    orcid: "https://orcid.org/0000-0002-6222-8049"
  - family-names: Zeng
    given-names: Y. (Yijian)
    orcid: "https://orcid.org/0000-0002-2166-5314"
  - family-names: Pfeffer
    given-names: Karin
    orcid: "https://orcid.org/0000-0002-6080-1323"
title: "Dataset Associated with the Landscape Character Assessment of Nigeria: A Machine-assisted Learning Approach"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/f7e4e2f9-a97c-4259-86bc-4840bc95be2f.v1
license: CC BY 4.0
date-released: 2025-03-12