ARTICLE
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doi:10.20944/preprints202310.1372.v2
Subject:
Environmental And Earth Sciences,
Remote Sensing
Keywords:
conservation gis; spatial data; biodiversity conservation; habitat mapping; protected area management; machine learning; artificial intelligence; remote sensing; data collection
Online: 27 October 2023 (11:59:37 CEST)