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1
Mapping the Historical Shipwreck Figaro in the High Arctic Using Underwater Sensor-Carrying Robots
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Mapping the Historical Shipwreck Figaro in the High Arctic Using Underwater Sensor-Carrying Robots

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.997 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12060997

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2
Arctic Heritage at Risk: Insights into How Remote Sensing, Robotics and Simulation Can Improve Risk Analysis and Enhance Safety
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Article
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Arctic Heritage at Risk: Insights into How Remote Sensing, Robotics and Simulation Can Improve Risk Analysis and Enhance Safety

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (3), p.675 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15030675

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3
The 2015 Surge of Hispar Glacier in the Karakoram
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Article
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The 2015 Surge of Hispar Glacier in the Karakoram

Remote sensing (Basel, Switzerland), 2017-01, Vol.9 (9), p.888 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9090888

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4
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery
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Article
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Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery

Remote sensing (Basel, Switzerland), 2017-07, Vol.9 (7), p.733 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9070733

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