Data underlying the publication: Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon
DOI:10.4121/70a8cec0-dfa7-4963-ba8a-612e738ec0cb.v1
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DOI: 10.4121/70a8cec0-dfa7-4963-ba8a-612e738ec0cb
DOI: 10.4121/70a8cec0-dfa7-4963-ba8a-612e738ec0cb
Datacite citation style:
Tagle Casapia, Maria Ximena; Cardenas, Rodolfo; Marcos, Diego; Fernandez, Ernesto; Harm Bartholomeus et. al. (2025): Data underlying the publication: Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/70a8cec0-dfa7-4963-ba8a-612e738ec0cb.v1
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Collection
Categories
Geolocation
Peruvian Amazon
Time coverage 2018-2022
Collection of different UAV RGB mosaics from the Loreto and Madre de Dios Region. Mostly from Palm Swamps but also from some terra firme forests and local communities. Some mosaics were clipped due to storage issues, for larger extents, please reach us by email.
History
- 2025-03-07 first online, published, posted
Publisher
4TU.ResearchDataFunding
- Novel approaches to understand the state of biodiversity and support livelihoods: the distribution and degradation levels of Mauritia flexuosa stands in Amazonia (grant code 41469429) [more info...] Newton Fund/ CONCYTEC PERU
- Integration of high resolution imagery from UAVs for Mapping of Provisioning Ecosystem Services in the tropics (grant code #RF67) [more info...] WWF Russel E. Train Education for Nature Program (EFN)
- Monitoring Protected Areas in Peru to Increase Forest Resilience to Climate Change’ (MonANPeru) (grant code 5349 ) Gordon and Betty Moore Foundation
- 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
School of Geography, University of Leeds
DATASETS
- [dataset] Data underlying the publication: Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery
- [dataset] 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)
- [dataset] Data underlying the publication: Effective integration of drone technology for mapping and managing palm species in the Peruvian Amazon, Loreto region (2018-2019)