High Resolution Remote Sensing Images from the Algerian steppic zone

DOI

As part of the EO AFRICA R&D MAPSPADES project (https://www.eoafrica-rd.org/research/research-projects-2023-2024), this dataset describes 877 high-resolution images downloaded from Google Earth Pro and classified according to the degree of desertification observed at each location. The locations are spread over the steppic region of Algeria, which covers more than 270,000 km2 (about 11% of the territory) and stretches more than 1200 km from the east to the west of the country. This region is particularly affected by land degradation and loss of indigenous plant biodiversity due to many factors, including human activities and climatic variations.

The purpose of this dataset is to provide "ground truth" data for training and validation of various machine learning or statistical models that study desertification or vegetation conditions from Earth observation data. Each scene represents an area of 30m by 30m and is documented with its coordinates, the date of image acquisition, and the observed desertification class (extremely severe, severe, moderate, light, none). These labels were obtained by averaging desertification scores ranging from 0 to 10, manually assigned by 3 people, and then classifying them with equal intervals.

Identifier
DOI https://doi.org/10.17026/PT/POJGN2
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/POJGN2
Provenance
Creator Kaddour, Mejdi; De Oto, Lucas; Tandjaoui, Amel Faiza; Guerid, Hachem; Khodadadzadeh, Mahdi
Publisher DANS Data Station Physical and Technical Sciences
Contributor Kaddour, Mejdi; De Oto, Lucas; Tandjaoui, Amel Faiza; Guerid, Hachem
Publication Year 2024
Funding Reference European Space Agency https://www.eoafrica-rd.org/research/research-projects-2023-2024/
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Kaddour, Mejdi (University of Oran 1 Ahmed Ben Bella); De Oto, Lucas (Faculty ITC, University of Twente)
Representation
Resource Type Dataset
Format application/vnd.oasis.opendocument.spreadsheet; application/octet-stream; audio/midi; application/vnd.mif; application/prj; application/sbn; application/sbx; text/xml
Size 1260008; 5; 76756; 198185; 145; 8684; 652; 10081
Version 2.1
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences
Spatial Coverage Oran, Algeria