UP42
Diego Alarcón is an experienced Technical Support Engineer specializing in GIS and remote sensing at UP42 since October 2021, focusing on data access coordination and issue resolution. Prior to this role, Diego completed a research project at Julius-Maximilians-Universität Würzburg's Innovation Laboratory and interned at the German Aerospace Center within the Earth Observation Center. Diego has also worked as a Senior GIS Analyst at Aguas Andinas, a Survey Engineer at Digimapas Chile Aerofotogrametría Ltda., and a Trainee Planning Engineer at KTS Kabeltechnik GmbH. Earlier experience includes senior project management roles and field analysis at HERE, a Nokia company. Diego holds a Master's degree in Earth Observation and Geoanalysis from Julius Maximilians University of Würzburg and a degree in Survey Engineering from Universidad de Santiago de Chile, complemented by language certifications in German and English.
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UP42
Look up. Our planet’s surrounded by satellites, capturing vast amounts of geospatial data every minute. And our mission is to provide quick and easy access to that data. With UP42, you’ll get access to the world’s leading providers of optical, radar, elevation, and aerial data, all in one place. Our developer-first platform offers flexible APIs and a Python SDK to help you build and scale your solutions. Search the catalog for existing imagery, or task a satellite to capture your desired area. Whatever your use case, UP42 is the one-stop-shop for all your geospatial data needs. From very high-resolution satellite imagery and global weather data to AIS data and aerial imagery. Our network of partners bring their data and processing products to our growing marketplace. UP42 empowers organizations of all sizes to harness the power of geospatial data and analytics by making it easier to find, buy, and use products from existing providers. Detect changes, monitor trends and identify objects. Developers and data scientists across all industries can now easily access, analyze, and understand geospatial data at scale.