Phenological dataset for ecological forecasting - PheDEF - MODIS vegetation image subsets

DOI:10.4121/7e6d7ca3-060d-4ca5-bd83-d779b598c11d.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: 10.4121/7e6d7ca3-060d-4ca5-bd83-d779b598c11d

Datacite citation style

Aguilar Bolivar, Rosa; Ofosu-Bamfo, Bismark; Mensah, Caleb; Yawson, Daniel; Zurita-Milla, Raul (2025): Phenological dataset for ecological forecasting - PheDEF - MODIS vegetation image subsets. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7e6d7ca3-060d-4ca5-bd83-d779b598c11d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

University of Twente logo

Geolocation

The study area is defined by two polygons in the forest close to Sunyani, Ghana. Coordinates of centroids of the polygons are given below (WGS84).
lat (N): [7.775973, 6.690227]
lon (E): [-1.717484, -1.301089]

Licence

CC BY 4.0

Interoperability

This dataset combines phenology and climate data from multiple sources in two tropical forest ecosystems, a moist semi-deciduous and a dry semi-deciduous forest, that can be used for machine learning applications in climate, forests, and biodiversity conservation at community and landscape scales. This dataset includes vegetation indices extracted from MODIS

History

  • 2025-08-13 first online, published, posted

Publisher

4TU.ResearchData

Format

Image GeoTiff

Funding

  • Lacuna Fund (grant code 19497.62 Grantee 90) [more info...] Lacuna Fund

Organizations

University of Twente, Faculty of Geo-Information Science and Earth Observation, Department of Geo-information Processing
University of Energy and Natural Resources, School of Sciences, Department of Biological Sciences, Sunyani, Ghana

DATA

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