Producing consistent visually interpreted land cover reference data: learning from feedback

Author:

Tarko Agnieszka1,Tsendbazar Nandin-Erdene1ORCID,de Bruin Sytze1ORCID,Bregt Arnold K.1ORCID

Affiliation:

1. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, Netherlands

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference37 articles.

1. Rethinking models of feedback for learning: the challenge of design

2. Breiman, Leo. 2002. Manual on Setting up, Using, and Understanding Random Forests V3.1. Statistics Department University of California Berkeley. https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf.

3. CEOS. 2019. “CEOS Working Group on Calibration and Validation: The Land Product Validation Subgroup.” https://lpvs.gsfc.nasa.gov/.

4. CGLS. 2019. ‘Copernicus Global Land Service.’ https://land.copernicus.eu/global/index.html.

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