Orengo Romeu, H. A., 2022, "Large-scale, multi-temporal remote sensing of palaeo-river networks", CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Orengo Romeu, H. A., 2022, "Automated machine learning-based potsherd detection using high-resolution drone imagery", https://doi.org/10.34810/data241, CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Orengo Romeu, H. A., 2022, "Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm", https://doi.org/10.34810/data242, CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Orengo Romeu, H. A., 2022, "Algorithm for the visualization of subtle topographic change of variable size in digital elevation models", https://doi.org/10.34810/data243, CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Orengo Romeu, H. A., 2022, "Results of the automated extraction of individual potsherd fragments in the soil surface", https://doi.org/10.34810/data244, CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Saorin, C.; Belarte Franco, M. C.; Portillo Ramírez, M.; Mateu Sagués, M.; Pastor Quiles, M.; Vila, S.; Pescini, V., 2022, "FTIR analyses of samples of Tossal de la Vila (La Serra d’en Galceran, Castellón) and Masies de Sant Miquel (Banyeres del Penedès, Tarragona, Spain) combustion structures", https://doi.org/10.34810/data507, CORA.Repositori de Dades de Recerca, V1.
Dataset | 2022
Gabellieri, N., Pescini, V., Rapisarda, A., "Fonti geostoriche e geomatica per lo studio topografico delle variazioni dell’estensione e dei limiti del bosco: il caso di Peio (TN) tra XIX e XXI secolo" a ASITA, ASITA 2022: Geomatica per la transizione verde e ditale (Genova (Italy), 20-24 june 2022), Milano, p. 273-284.
Nieto Espinet, A.; Huet, T.; Trentacoste, A.; Guimarães, S.; Orengo, H.; Valenzuela Lamas, S., "Resilience and livestock adaptations to demographic growth and technological change: A diachronic perspective from the Late Bronze Age to Late Antiquity in NE Iberia", PLoS ONE, 16(2), p. e0246201. JCR (ISI), Factor d'impacte: 2.740 (Q1, Multidisciplinary); Scopus, CiteScore: 5.2 (Q1, 91%, Multidisciplinay).
Utilitzem cookies per garantir que us donem la millor experiència al nostre lloc web. Si continueu utilitzant aquest lloc, assumirem que us plau.D'acord