A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
Open Access
- 19 February 2021
- journal article
- research article
- Published by eLife Sciences Publications, Ltd in eLife
Abstract
Forests provide biodiversity, ecosystem and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data collection. While advances in remote sensing techniques allow surveys of individual trees at unprecedented extents, there remain technical challenges in turning sensor data into tangible information. Using deep learning methods, we produced an open-source dataset of individual-level crown estimates for 100 million trees at 37 sites across the United States surveyed by the National Ecological Observatory Network's Airborne Observation Platform. Each canopy tree crown is represented by a rectangular bounding box and includes information on the height, crown area, and spatial location of the tree. These data have the potential to drive significant expansion of individual-level research on trees by facilitating both regional analyses and cross-region comparisons encompassing forest types from most of the United States.Keywords
Funding Information
- Gordon and Betty Moore Foundation (GBMF4563)
- National Science Foundation (1926542)
- National Institute of Food and Agriculture (McIntire Stennis projects #1007080)
This publication has 43 references indexed in Scilit:
- Species Diversity of Canopy Versus Understory Trees in a Neotropical Forest: Implications for Forest Structure, Function and MonitoringEcosystems, 2015
- Amazonian landscapes and the bias in field studies of forest structure and biomassProceedings of the National Academy of Sciences of the United States of America, 2014
- An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystemsRemote Sensing of Environment, 2014
- Biodiversity Promotes Tree Growth during Succession in Subtropical ForestPLOS ONE, 2013
- High-Resolution Global Maps of 21st-Century Forest Cover ChangeScience, 2013
- A New Method for Segmenting Individual Trees from the Lidar Point CloudPhotogrammetric Engineering & Remote Sensing, 2012
- Height-diameter allometry of tropical forest treesBiogeosciences (online), 2011
- The impact of atmospheric deposition and climate on forest growth in European monitoring plots: An individual tree growth modelForest Ecology and Management, 2009
- Quantifying mortality of tropical rain forest trees using high‐spatial‐resolution satellite dataEcology Letters, 2003
- Disturbance and Diversity in Tropical Rain Forests: The Density EffectEcological Applications, 1995