Advancing wetland mapping in Argentina: a probalitistic approach integrating remote sensing, machine learning, and cloud computing towards sustainable ecosystem monitoring

Wetlands, covering 7 % of Earth’s surface, are crucial for providing ecosystem services and regulating climate change. Despite their importance, global fluctuations in wetland distribution highlight the need for accurate and comprehensive mapping to address current and future challenges. In Argentin...

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Bibliographic Details

Main Authors:	Navarro, María Fabiana, Calamari, Noelia Cecilia, Navarro, Carlos Saúl, Enriquez, Andrea Soledad, Mosciaro, Maria Jesus, Saucedo, Griselda Isabel, Barrios, Raúl Ariel, Curcio, Matías Hernán, Dieta, Victorio, Garcia Martinez, Guillermo Carlos, Iturralde Elortegui, Maria Del Rosario Ma, Michard, Nicole Jacqueline, Paredes, Paula Natalia, Umaña, Fernando, Alday Poblete, Silvina Esther, Pezzola, Nestor Alejandro, Vidal, Claudia, Winschel, Cristina Ines, Albarracin Franco, Silvia, Behr, Santiago Javier, Cianfagna, Francisco A., Cremona, Maria Victoria, Alvarenga, Fernando Agustin, Perucca, Alba Ruth, Lopez, Astor Emilio, Miranda, Federico Waldemar, Kurtz, Ditmar Bernardo
Format:	info:ar-repo/semantics/artículo
Language:	Inglés
Published:	Elsevier 2025
Subjects:	Tierras Húmedas Ecosistema Sostenibilidad Teledetección Argentina Wetlands Ecosystems Sustainability Remote Sensing Humedales
Online Access:	http://hdl.handle.net/20.500.12123/22624 https://www.sciencedirect.com/science/article/pii/S2589471425000130 https://doi.org/10.1016/j.wsee.2025.04.001