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dc.contributor.authorKhan, S
dc.contributor.authorAragao, L
dc.contributor.authorIriarte, J
dc.date.accessioned2017-02-23T16:32:17Z
dc.date.issued2017-02-28
dc.description.abstractIn this paper a robust unmanned aerial remote sensing system, equipped with a survey-grade Lidar scanner and a multispectral camera system, assembled to study pre-Columbian Amazonian archaeology is presented. The data collected from this sys- tem will be utilised in a novel inter-disciplinary way by combining these data with in- situ data collected by archaeologists, archaebotanists, paleoecologists, soil scientists, and landscape ecologists to study the nature and scale of the impact of pre-Columbian humans in transforming the landscapes of Amazonian rainforest. The outputs of this research will also inform future policy on the conservation, sustainability, and ecological state of the forest.en_GB
dc.description.sponsorshipThe authors would like to thank European Research Council (ERC) for funding this research under the ERC Consolidator grant titled, Pre-Columbian Amazon Scale Transformations, and also express their gratitude to the Brazilian Agricultural Research Corporation (EMBRAPA), the US Forest Service, USAID, and the US Department of State for providing additional data.en_GB
dc.identifier.citationPublished online 28 February 2017en_GB
dc.identifier.doi10.1080/01431161.2017.1295486
dc.identifier.urihttp://hdl.handle.net/10871/26039
dc.language.isoenen_GB
dc.publisherTaylor & Francis for Remote Sensing and Photogrammetry Societyen_GB
dc.rights.embargoreasonPublisher policyen_GB
dc.subjectUAVen_GB
dc.subjectLidaren_GB
dc.subjectLidar Ground Identificationen_GB
dc.subjectGeoglyphsen_GB
dc.subjectAmazonen_GB
dc.subjectArchaeologyen_GB
dc.subjectMultispectralen_GB
dc.subjectFixed-wingen_GB
dc.titleA UAV-Lidar system to map Amazonian rainforest and its ancient landscape transformationsen_GB
dc.typeArticleen_GB
dc.identifier.issn0143-1161
dc.descriptionThis is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this record.
dc.identifier.journalInternational Journal of Remote Sensingen_GB


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