Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning

Autor: J.F. Roberts, R. Mwangi, F. Mukabi, J. Njui, K. Nzioka, J.K. Ndambiri, P.C. Bispo, F.D.B. Espirito-Santo, Y. Gou, S.C.M. Johnson, V. Louis, A.M. Pacheco-Pascagaza, P. Rodriguez-Veiga, K. Tansey, C. Upton, C. Robb, H. Balzter

Publikováno v: Roberts, J F, Mwangi, R, Mukabi, F, Njui, J, Nzioka, K, Ndambiri, J K, Bispo, P C, Espirito-Santo, F D B, Gou, Y, Johnson, S C M, Louis, V, Pacheco-Pascagaza, A M, Rodriguez-Veiga, P, Tansey, K, Upton, C, Robb, C & Balzter, H 2022, ' Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning ', Computers & Geosciences, vol. 167, 105192 . https://doi.org/10.1016/j.cageo.2022.105192

Monitoring forest cover change from Earth observation data streams in near-real-time presents a challenge for automated change detection by way of a continuously updated big dataset. Even though deforestation is a significant global problem, forest c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e984edb9dfce10a922d907e39a692aa
https://doi.org/10.1016/j.cageo.2022.105192

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