Data underlying the publication: Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon, Madre de Dios Region (2019-2022)
DOI:10.4121/6655948c-c8a2-4b2e-bab2-efe1aa7192dd.v1
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DOI: 10.4121/6655948c-c8a2-4b2e-bab2-efe1aa7192dd
DOI: 10.4121/6655948c-c8a2-4b2e-bab2-efe1aa7192dd
Datacite citation style:
Tagle Casapia, Maria Ximena; Fernandez, Ernesto; Teves, Sandra (2025): Data underlying the publication: Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon, Madre de Dios Region (2019-2022). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6655948c-c8a2-4b2e-bab2-efe1aa7192dd.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
UAV RGB mosaic clips generated from DJI Mavic 2 and DJI Phantom 4 surveys conducted between 2019 and 2022, primarily over palm swamp regions across two sectors of the Tambopata National Reserve in Madre de Dios Region, Peru. Full-resolution mosaics (some covering areas up to 200 hectares) and labeled data (available only for the clips) are accessible upon request. For further information please get in touch with us via email.
History
- 2025-03-06 first online, published, posted
Publisher
4TU.ResearchDataFormat
tifFunding
- Master Plan of the Tambopata National Reserve 2019-2023 [more info...] SERNANP
Organizations
Research Institute of the Peruvian Amazon - IIAPProtected Areas Authority of Peru - SERNANP
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research - WUR
DATA
Files (2)
- 258,287 bytesMD5:
e29ec911bbd46ed148b460bdad675562
ReadMe_MDD.pdf - 161,534,929 bytesMD5:
422afb331acae9e9e750167a419ee6f2
Clips.7z -
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161,793,216 bytes unzipped