Data for:Monitoring Land Cover Changes in the Tropical High Forests using Multi-Temporal Remote Sensing and Spatial Analysis Techniques

Published: 21 Sep 2019 | Version 1 | DOI: 10.17632/khpzsrrdts.1
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Description of this data

The uploaded research data include Digital Elevation Model of the study area, preprocessed Landsat imageries of the period under review (1990, 2013, and 2017) and their classified data which can be opened in any satellite processing software (ENVI, ERDAS, ArcGIS, etc.) The data also contain shapefiles which include the vector data of the study area, the training sites, and the reference control points used in determining the accuracy assessment. An excel spreadsheet has also been provided containing all the post classification analysis. Finally, all the maps that were generated have been added to the data in a jpeg format for visualization.

Experiment data files

This data is associated with the following publication:

Monitoring Land Cover changes in the tropical high forests using multi-temporal remote sensing and spatial analysis techniques

Published in: Remote Sensing Applications: Society and Environment

Latest version

  • Version 1

    2019-09-21

    Published: 2019-09-21

    DOI: 10.17632/khpzsrrdts.1

    Cite this dataset

    Lossou, Etse; Agyemang, Godwin; Owusu-Prempeh, Nat (2019), “Data for:Monitoring Land Cover Changes in the Tropical High Forests using Multi-Temporal Remote Sensing and Spatial Analysis Techniques”, Mendeley Data, v1 http://dx.doi.org/10.17632/khpzsrrdts.1

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Categories

Remote Sensing, Geographic Information Systems, Land Cover Change

Licence

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The files associated with this dataset are licensed under a Public Domain Dedication licence.

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You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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