Bibliografía

12. Bibliografía#

[1]

Keith Beven and Andrew Binley. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes, 6(3):279–298, 1992. doi:10.1002/hyp.3360060305.

[2]

Stephan Bojinski, Michel Verstraete, Thomas C Peterson, Carsten Richter, Adrian Simmons, and Michael Zemp. The concept of essential climate variables in support of climate research, applications, and policy. Bulletin of the American Meteorological Society, 95(9):1431–1443, 2014. doi:10.1175/BAMS-D-13-00047.1.

[3]

C. F. Brown, M. R. Kazmierski, V. J. Pasquarella, W. J. Rucklidge, M. Samsikova, C. Zhang, E. Shelhamer, E. Lahera, O. Wiles, S. Ilyushchenko, N. Gorelick, L. L. Zhang, S. Alj, E. Schechter, S. Askay, O. Guinan, R. Moore, A. Boukouvalas, and P. Kohli. Alphaearth foundations: an embedding field model for accurate and efficient global mapping from sparse label data. arXiv preprint, 2025. URL: https://doi.org/10.48550/arXiv.2507.22291, arXiv:2507.22291, doi:10.48550/arXiv.2507.22291.

[4]

Christopher F. Brown, Steven P. Brumby, Brookie Guzder-Williams, Tanya Birch, …, and otros. Dynamic world, near real-time global 10 m land use / land cover mapping. Scientific Data, 9(1):251, 2022. URL: https://www.nature.com/articles/s41597-022-01307-4, doi:10.1038/s41597-022-01307-4.

[5]

Varun Chandola, Arindam Banerjee, and Vipin Kumar. Anomaly detection: a survey. ACM Computing Surveys, 41(3):15:1–15:58, 2009. doi:10.1145/1541880.1541882.

[6]

Roger M. Downs and David Stea. Image and Environment: Cognitive Mapping and Spatial Behavior. Aldine Publishing, Chicago, 1973.

[7]

Marta Fernández García. ¿por qué los modelos de ia suelen utilizar la similitud coseno? June 2024. LinkedIn Top Voice 2024. Publicado el 11 de junio de 2024. URL: https://www.linkedin.com/pulse/por-qu%C3%A9-los-modelos-de-ia-suelen-utilizar-la-coseno-fern%C3%A1ndez-garc%C3%ADa-shwlf/ (visited on 2025-10-19).

[8]

John Rupert Firth. A synopsis of linguistic theory 1930–1955. In Studies in Linguistic Analysis. Philological Society, Oxford, 1957.

[9]

Luciano Floridi, Josh Cowls, Monica Beltrametti, and others. Ai4people—an ethical framework for a good ai society. Minds and Machines, 28(4):689–707, 2018. doi:10.1007/s11023-018-9482-5.

[10]

Ujaval Gandhi. Satellite embedding deep dive workshop. Spatial Thoughts, 2025. Accessed: 2025-10-05. URL: https://courses.spatialthoughts.com/gee-satellite-embedding.html.

[11]

Reginald G. Golledge. Defining the criteria used in path selection. Environment and Behavior, 27(1):94–118, 1995.

[12]

Michael F. Goodchild. Reimagining the semantic geography of the earth. International Journal of Geographical Information Science, 35(6):1181–1197, 2021. doi:10.1080/13658816.2021.1893331.

[13]

Zellig Harris. Distributional structure. Word, 10(2-3):146–162, 1954. doi:10.1080/00437956.1954.11659520.

[14]

Adobe Inc. Adobe after effects. https://www.adobe.com/products/aftereffects.html, 2025. Composición y motion graphics. Indique versión utilizada.

[15]

Adobe Inc. Adobe audition. https://www.adobe.com/products/audition.html, 2025. Edición y mezcla de audio. Indique versión utilizada.

[16]

Adobe Inc. Adobe creative cloud. https://www.adobe.com/creativecloud.html, 2025. Suite de aplicaciones creativas. Especifique versión/plan utilizado.

[17]

Adobe Inc. Adobe illustrator. https://www.adobe.com/products/illustrator.html, 2025. Diseño y gráficos vectoriales. Indique versión utilizada.

[18]

Adobe Inc. Adobe media encoder. https://www.adobe.com/products/media-encoder.html, 2025. Ingesta, transcodificación y publicación. Indique versión utilizada.

[19]

Adobe Inc. Adobe stock. https://stock.adobe.com/, 2025. Banco de imágenes, videos y plantillas. Indique recursos/licencias utilizados.

[20]

Johannes Jakubik, Linsong Chu, Paolo Fraccaro, Carlos Gomes, Gabby Nyirjesy, Ranjini Bangalore, Devyani Lambhate, Kamal Das, Dario Oliveira Borges, Daiki Kimura, Naomi Simumba, Daniela Szwarcman, Michal Muszynski, Kommy Weldemariam, Bianca Zadrozny, Raghu Ganti, Carlos Costa, Campbell Edwards, Blair & Watson, Karthik Mukkavilli, Hendrik Schmude, Johannes & Hamann, Parkin Robert, Sujit Roy, Christopher Phillips, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Wei Ji Leong, Ryan Avery, Rahul Ramachandran, Manil Maskey, Pontus Olofossen, Elizabeth Fancher, Tsengdar Lee, Kevin Murphy, Dan Duffy, Mike Little, Hamed Alemohammad, Michael Cecil, Steve Li, Sam Khallaghi, Denys Godwin, Maryam Ahmadi, Fatemeh Kordi, Bertrand Saux, Neal Pastick, Peter Doucette, Rylie Fleckenstein, Dalton Luanga, Alex Corvin, and Erwan Granger. Prithvi-100M. August 2023. doi:10.57967/hf/0952.

[21]

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dario Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi (Steve) Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu Ganti, Kommy Weldemariam, and Rahul Ramachandran. Foundation Models for Generalist Geospatial Artificial Intelligence. Preprint Available on arxiv:2310.18660, October 2023.

[22]

Johannes Jakubik, Felix Yang, Benedikt Blumenstiel, Erik Scheurer, Rocco Sedona, Stefano Maurogiovanni, Jente Bosmans, Nikolaos Dionelis, Valerio Marsocci, Niklas Kopp, Rahul Ramachandran, Paolo Fraccaro, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernabé-Moreno, and Nicolas Longépé. Terramind: large-scale generative multimodality for earth observation. arXiv preprint arXiv:2504.11171, 2025. Disponible en https://arxiv.org/abs/2504.11171.

[23]

Krzysztof Janowicz, Song Gao, Grant McKenzie, Yingjie Hu, and Budhendra Bhaduri. Geoai: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond. International Journal of Geographical Information Science, 34(4):625–636, 2020. doi:10.1080/13658816.2019.1684500.

[24]

Stephen M. Kosslyn. Image and Mind. Harvard University Press, Cambridge, MA, 1980.

[25]

Stephen M. Kosslyn. Image and Brain: The Resolution of the Imagery Debate. MIT Press, Cambridge, MA, 1994.

[26]

Lynn S. Liben. The development of spatial thinking. Educational Psychology Review, 21(4):303–328, 2009.

[27]

Daniel R. Montello, editor. Cognitive Geography. Springer, Berlin, 2009.

[28]

Naomi Oreskes, Kristin Shrader-Frechette, and Kenneth Belitz. Verification, validation, and confirmation of numerical models in the earth sciences. Science, 263(5147):641–646, 1994. doi:10.1126/science.263.5147.641.

[29]

Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, and Prabhat. Deep learning and process understanding for data-driven earth system science. Nature, 566(7743):195–204, 2019. doi:10.1038/s41586-019-0912-1.

[30]

L. Reynoso. Geoia. 2025. (En preparación).

[31]

Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Carlos Gomes, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Disha Shidham, Trevor Keenan, Paulo Arevalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, David Bell, Gabriele Cavallaro, Campbell Watson, Manil Maskey, Rahul Ramachandran, and Juan Bernabe Moreno. Prithvi-eo-2.0: a versatile multi-temporal foundation model for earth observation applications. arXiv preprint arXiv:2412.02732, 2024. Disponible en línea: https://arxiv.org/abs/2412.02732.

[32]

Earth Science Literacy Initiative. Earth science literacy principles: the big ideas and supporting concepts of earth science. 2009. URL: https://www.earthscienceliteracy.org/.

[33]

Earth Science Literacy Initiative. Earth science literacy principles: the big ideas and supporting concepts of earth science. 2009.

[34]

EU Agency for the Space Programme (EUSPA). What is earth observation? Sitio web de EUSPA, página de Copernicus, 2024. Última modificación: 17 de abril de 2024. Disponible en: https://www.euspa.europa.eu/eu-space-programme/copernicus/what-earth-observation.

[35]

FAO. Global administrative unit layers (gaul) dataset, level 0–2. https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/8e9e12f8-cd32-4a22-a1a5-dbc47f9fa13a, 2015. Food and Agriculture Organization of the United Nations (FAO), Rome. Version 2015. URL: https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/8e9e12f8-cd32-4a22-a1a5-dbc47f9fa13a.

[36]

Global Climate Observing System (GCOS). About essential climate variables. 2024.

[37]

Google Research. Satellite embeddings v1: a global, multimodal representation of the planet. Technical Report, 2024. Available at: https://research.google/.

[38]

National Research Council. Learning to Think Spatially: GIS as a Support System in the K–12 Curriculum. The National Academies Press, Washington, DC, 2006.

[39]

National Research Council. Learning to Think Spatially: GIS as a Support System in the K–12 Curriculum. National Academies Press, Washington, DC, 2006.

[40]

OECD. Data-Driven Innovation: Big Data for Growth and Well-Being. OECD Publishing, Paris, 2015. doi:10.1787/9789264229358-en.

[41]

OECD. Enhancing Access to and Sharing of Data. OECD Publishing, Paris, 2021. doi:10.1787/276aaca8-en.

[42]

OpenStax. Principles of Data Science. OpenStax, 2025. Section 7.4: Convolutional Neural Networks. URL: https://openstax.org/books/principles-data-science/pages/7-4-convolutional-neural-networks.

[43]

U.S. Geological Survey. Landsat data distribution policy. 2008.

[44]

UNESCO. Unesco recommendation on open science. 2021. URL: https://www.unesco.org/en/open-science.

[45]

United Nations Committee of Experts on Global Geospatial Information Management. Integrated geospatial information framework. 2019. URL: https://ggim.un.org/IGIF/.