BioViewPoint

This initiative integrates satellite imagery, species observations, and artificial intelligence to examine bidirectional relationships between biodiversity and environment. The team demonstrates how species distribution patterns can map Earth's surface characteristics detectable by satellites, while supporting policy development for environmental protection.

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Campo Valor
Autor/a Ruben Remelgado
Última actualización abril 23, 2026, 20:05 (UTC)
Published abril 7, 2026, 22:25 (UTC)
Citation Ruben Remelgado 2024. BioViewPoint. CyVerse Data Commons.
Descrición This initiative integrates satellite imagery, species observations, and artificial intelligence to examine bidirectional relationships between biodiversity and environment. The team demonstrates how species distribution patterns can map Earth's surface characteristics detectable by satellites, while supporting policy development for environmental protection.
PublicationYear 2024
Publisher CyVerse Data Commons
Rights This material is based upon work supported by the National Science Foundation under grant #2153040, the NSF ACCESS-CI program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296. This work used Jetstream2 at Indiana University through allocation BIO220085. CyVerse is based upon work supported by the NSF under Grant Nos. DBI-0735191, DBI-1265383, and DBI-1743442.
Subject biodiversity, satellite imagery, species distribution, artificial intelligence, environmental monitoring, Earth observation
de_created_date 2024-08-20T16:56:19Z
de_modified_date 2026-04-23T19:45:48Z