Prados, AnaPodest, ErikaBarbato, David G.Carleton-Hug, AnneliseBlevins, BrockHudson-Odoi, SelwynMehta, AmitaCrespo, Cristina Karen Ovando2021-07-062021-07-062021-06-15Prados, Ana et al.; Best Practices In Multilanguage Satellite Remote Sensing Training: Case Studies In Spanish-Speaking Countries [Education]; IEEE Geoscience and Remote Sensing Magazine, 9, 2, 15 June, 2021; https://doi.org/10.1109/MGRS.2021.3060777https://doi.org/10.1109/MGRS.2021.3060777http://hdl.handle.net/11603/21860We discuss best practices for developing multilanguage remote sensing training. Our discussion is based on the approach developed by the NASA-funded Applied Remote Sensing Training (ARSET) program for Spanish-speaking countries. Best practices include incorporating Spanish language at all phases of the training cycle, from outreach activities to program evaluation, and full integration of Spanish-speaking translators and scientists into educational activities.7 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.trainingeducational programssatellitesgeospatial analysisremote sensingbest practicesBest Practices In Multilanguage Satellite Remote Sensing Training: Case Studies In Spanish-Speaking Countries [Education]Text