deadtrees.earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics

作者：Clemens Mosig, Janusch Vajna-Jehle, Miguel D. Mahecha, Yan Cheng, Henrik Hartmann, David Montero, Samuli Junttila, Stéphanie Horion, Stephen Adu‐Bredu, Djamil Al‐Halbouni, Matthew J. Allen, Jan Altman, Claudia Angiolini, Rasmus Astrup, Caterina Barrasso, Harm Bartholomeus, Benjamin Brede, Allan Buras, Erik Carrieri, Gherardo Chirici, Myriam Cloutier, K. C. Cushman, James W. Dalling, Jan Dempewolf, Martin Denter, Simon Ecke, Jana Eichel, Anette Eltner, Maximilian Fabi, Fabian Ewald Fassnacht, Matheus Pinheiro Feirreira, Julian Frey, Annett Frick, Selina Ganz, Matteo Garbarino, Milton Garćıa, Matthias Gassilloud, Marziye Ghasemi, Francesca Giannetti, Roy Gonzalez, Carl R. Gosper, Konrad Greinwald, Stuart Grieve, Jesús Aguirre‐Gutiérrez, Anna Göritz, Peter Hajek, David William Hedding, Jan Hempel, M. Benavides Hernández, Marco Heurich, Eija Honkavaara, Tommaso Jucker, Jesse M. Kalwij, Pratima Khatri‐Chhetri, Hans-Joachim Klemmt, Niko Koivumäki, Kirill Korznikov, Stefan Kruse, Robert Krüger, Étienne Laliberté, Liam Langan, Hooman Latifi, Jan Lehmann, Linyuan Li, Emily Lines, Javier Lopatin, Arko Lucieer, Marvin Ludwig, Antonia Ludwig, Päivi Lyytikäinen‐Saarenmaa, Qin Ma, Giovanni Marino, Michael Maroschek, Fabio Meloni, Annette Menzel, Hanna Meyer, Mojdeh Miraki, Daniel Moreno‐Fernández, Helene C. Muller‐Landau, Mirko Mälicke, Jakobus Möhring, Jana Müllerová, Paul Neumeier, Roope Näsi, Lars Oppgenoorth, M. A. Palmer, Thomas Paul, Alastair Potts, Suzanne M. Prober, Stefano Puliti, Óscar Pérez‐Priego, Chris Reudenbach, Christian Rossi, Nadine K. Ruehr, Paloma Ruiz‐Benito, Christian Mestre‐Runge, Michael Scherer-Lorenzen, Felix Schiefer, Jacob Schladebach, Marie‐Therese Schmehl, Selina Schwarz, Mirela Beloiu, Rupert Seidl, Elham Shafeian, Leopoldo de Simone, Hormoz Sohrabi, Laura Sotomayor, Ben Sparrow, Benjamin S.C. Steer, Matt Stenson, Benjamin Stöckigt, Yanjun Su, Juha Suomalainen, Michele Torresani, Josefine Umlauft, Nicolás Vargas-Ramírez, Michele Volpi, Vicente Vásquez, Ben Weinstein, Tagle Casapia Ximena, Katherine Zdunic, Katarzyna Zielewska-Büttner, Raquel Alves de Oliveira, Liz van Wagtendonk, Vincent von Dosky, Teja Kattenborn · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2024 · DOI：10.1101/2024.10.18.619094 · 被引用次数：10 · 研究领域：Remote Sensing and LiDAR Applications

Abstract Excessive tree mortality is a global concern and remains poorly understood as it is a complex phenomenon. We lack global and temporally continuous coverage on tree mortality data. Ground-based observations on tree mortality, e.g ., derived from national inventories, are very sparse, not standardized and not spatially explicit. Earth observation data, combined with supervised machine learning, offer a promising approach to map tree mortality over time. However, global-scale machine learning requires broad training data covering a wide range of environmental settings and forest types. Drones provide a cost-effective source of training data by capturing high-resolution orthophotos of tree mortality events at sub-centimeter resolution. Here, we introduce deadtrees.earth, an open-access platform hosting more than a thousand centimeter-resolution orthophotos, covering already more than 300,000 ha, of which more than 58,000 ha are fully annotated. This community-sourced and rigorously curated dataset shall serve as a foundation for a global initiative to gather comprehensive reference data. In concert with Earth observation data and machine learning it will serve to uncover tree mortality patterns from local to global scales. This will provide the foundation to attribute tree mortality patterns to environmental changes or project tree mortality dynamics to the future. Thus, the open and interactive nature of deadtrees.earth together with the collective effort of the communi...