Description
This research was partially supported by the Bill and Melinda Gates Foundation via the STARS Grant Agreement (1094229-2014). We wish to express our gratitude to all the STARS partners and, in particular, to the ICRISAT-led team for organizing and collecting the required field data in Mali and to the STARS ITC team for pre-processing the WorldView-2 images. We would also like to acknowledge the European Commission Erasmus Mundus (SALAM2) for providing financial support for this research via a PhD grant to Ms. Azar Zafari. The dataset and code in this repository are related to following journal papers and Ph.D. thesis:
| Date made available | 28 Mar 2020 |
|---|---|
| Publisher | DATA Archiving and Networked Services (DANS) |
| Date of data production | 4 Feb 2020 |
Datasets
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Evaluating the Performance of a Random Forest Kernel for Land Cover Classification
Zafari, A. (Creator), DATA Archiving and Networked Services (DANS), 24 Jun 2019
DOI: 10.17026/dans-26r-wte6, https://www.persistent-identifier.nl/urn:nbn:nl:ui:13-dp-drwg
Dataset