Comprehensive uncrewed aerial system data for Amazon rainforest at Tiputini Biodiversity Station, Ecuador

The Amazon rainforest, the most biodiverse biome on Earth, represents a critical natural laboratory for studying species interactions, ecosystem functioning, and vulnerability to climate change. High-quality datasets are crucial for advancing a detailed understanding of this complex biome; however, open-access uncrewed aerial system (UAS) datasets for this region remain notably scarce. Here, we present UAS-derived high-resolution products that seamlessly cover over 700 hectares of the upper and hyperdiverse Amazon. To the best of our knowledge, this is the first large-scale, comprehensive, open, and seamless UAS dataset of the Amazon, integrating multispectral imagery and lidar (light detection and ranging) data collected during a single mission, ensuring temporal consistency. The dataset provides complementary spectral and structural information from the Tiputini Biodiversity Station, one of the regions with the highest tree species richness per unit area on Earth. This resource supports diverse applications such as biodiversity and forest-structure analyses and establishes a methodological reference for future large-scale UAS research in the Amazon.

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Publication Details

Journal
Scientific Data
Published
2026-02-26
DOI
https://doi.org/10.1038/s41597-026-06894-0
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Comprehensive uncrewed aerial system data for Amazon rainforest at Tiputini Biodiversity Station, Ecuador

Charles H. Cannon, Jinha Jung, Jung Minyoung, Anjin Chang et al.
Scientific Data
Remote Sensing in Agriculture
article

Comprehensive uncrewed aerial system data for Amazon rainforest at Tiputini Biodiversity Station, Ecuador

Charles H. Cannon, Jinha Jung, Jung Minyoung, Anjin Chang, Gonzalo Rivas-Torres
article en

Abstract

The Amazon rainforest, the most biodiverse biome on Earth, represents a critical natural laboratory for studying species interactions, ecosystem functioning, and vulnerability to climate change. High-quality datasets are crucial for advancing a detailed understanding of this complex biome; however, open-access uncrewed aerial system (UAS) datasets for this region remain notably scarce. Here, we present UAS-derived high-resolution products that seamlessly cover over 700 hectares of the upper and hyperdiverse Amazon. To the best of our knowledge, this is the first large-scale, comprehensive, open, and seamless UAS dataset of the Amazon, integrating multispectral imagery and lidar (light detection and ranging) data collected during a single mission, ensuring temporal consistency. The dataset provides complementary spectral and structural information from the Tiputini Biodiversity Station, one of the regions with the highest tree species richness per unit area on Earth. This resource supports diverse applications such as biodiversity and forest-structure analyses and establishes a methodological reference for future large-scale UAS research in the Amazon.

Scientific Data
National Parks Board (SG), Purdue University West Lafayette (US), German Centre for Integrative Biodiversity Research (DE), Universidad San Francisco de Quito (EC), Michigan State University (US)
Purdue University, Ministerio del Ambiente, Agua y Transición Ecológica, Ministry of Environment
Life in Land
Openalex Percentile: Top 49%
Remote Sensing in Agriculture
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