@article{Roteta_2020,<br/><span class="tab"></span> title={OPTIMIZATION OF A RANDOM FOREST CLASSIFIER FOR BURNED AREA DETECTION IN CHILE USING SENTINEL-2 DATA},<br/><span class="tab"></span> volume={XLII-3/W12-2020},<br/><span class="tab"></span> ISSN={2194-9034},<br/><span class="tab"></span> url={http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-337-2020},<br/><span class="tab"></span> DOI={10.5194/isprs-archives-xlii-3-w12-2020-337-2020},<br/><span class="tab"></span> journal={The International Archives of the Photogrammetry,<br/><span class="tab"></span> Remote Sensing and Spatial Information Sciences},<br/><span class="tab"></span> publisher={Copernicus GmbH},<br/><span class="tab"></span> author={Roteta,<br/><span class="tab"></span> E. and Oliva,<br/><span class="tab"></span> P.},<br/><span class="tab"></span> year={2020},<br/><span class="tab"></span> month=nov,<br/><span class="tab"></span> pages={337–342} }