Large animals can be observed and photographed from space using high-resolution satellites.
Recent scientific studies demonstrate that high-resolution satellite imagery and advanced deep learning models can successfully detect, monitor, and count large animals from space.
Papers 0, 1, and 2 directly support the claim that large animals (wildebeests, walruses, and rhinoceroses) can be observed, monitored, or counted using satellite imagery. The remaining papers discuss drones or ground-level methods and are tangential, but do not contradict the supported findings.
Duporge I, Wu Z, Xu Z, Gong P, Rubenstein D, Macdonald DW, Sinclair ARE, Levin S, Lee SJ, Wang T. AI-based satellite survey offers independent assessment of migratory wildebeest numbers in the Serengeti.. 2025. https://doi.org/10.1093/pnasnexus/pgaf264
Paper 0 uses satellite imagery combined with AI models to detect and count wildebeest populations from space.
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Cubaynes HC, Matthews CJD, Garde E, Gavrillo M, Heide-Jørgensen MP, Higdon JW, Kovacs KM, Leskova M, Lydersen C, Solovyev B, Vergara-Pena A, Fretwell PT. A distribution-wide dataset of Atlantic walrus terrestrial haul-out sites.. 2026. https://doi.org/10.1038/s41597-026-07210-6
Paper 1 notes that Atlantic walrus population assessments are increasingly performed using satellite imagery.
Duporge I, Lin X, Palnitkar A, Suresh A, Isupova O, Rubenstein D, Aloimonos JY. Automated rhinoceros detection in satellite imagery using deep learning.. 2025. https://doi.org/10.1038/s41598-025-24178-2
Paper 2 demonstrates the feasibility of detecting white rhinoceroses using very high-resolution satellite imagery.
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