Research output per year
Research output per year
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 | DANS |
| Date of data production | 4 Feb 2020 |
Research output
- 1 Letter
-
Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective
Zafari, A., Zurita-Milla, R. & Izquierdo Verdiguier, E., 2020, In: IEEE geoscience and remote sensing letters. 17, 10, p. 1702 - 1706 5 p.Research output: Contribution to journal › Letter › Academic › peer-review
3 Citations (Scopus)