SiDroForest: Synthetic Siberian Larch Tree Crown Dataset of 10.000 instances in the Microsoft's Common Objects in Context dataset (coco) format ...

• Main Authors: van Geffen, Femke, Brieger, Frederic, Pestryakova, Luidmila A, Zakharov, Evgenii S, Herzschuh, Ulrike, Kruse, Stefan
• Format: Dataset
• Language: English
• Published: PANGAEA 2021
• Subjects: Larch; machine learning; Siberian Arctic; SiDroForest; synthetic data; Binary Object; Binary Object File Size; Binary Object MD5 Hash; Unmanned aerial vehicle; RU-Land_2018_Yakutia; AWI Arctic Land Expedition; Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS; Polar Terrestrial Environmental Systems @ AWI AWI_Envi; Arctic; Alfred Wegener Institute; Siberia
• Online Access: https://dx.doi.org/10.1594/pangaea.932795; https://doi.pangaea.de/10.1594/PANGAEA.932795

This synthetic Siberian Larch tree crown dataset was created for upscaling and machine learning purposes as a part of the SiDroForest (Siberia Drone Forest Inventory) project. The SiDroForest data collection (https://www.pangaea.de/?q=keyword%3A%22SiDroForest%22) consists of vegetation plots covered in Siberia during a 2-month fieldwork expedition in 2018 by the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Germany. During fieldwork fifty-six, 50*50-meter vegetation plots were covered by Unmanned Aerial Vehicle (UAV) flights and Red Green Blue (RGB) and Red Green Near Infrared (RGNIR) photographs were taken with a consumer grade DJI Phantom 4 quadcopter. The synthetic dataset provided here contains Larch (Larix gmelinii (Rupr.) Rupr. and Larix cajanderi Mayr.) tree crowns extracted from the onboard camera RGB UAV images of five selected vegetation plots from this expedition, placed on top of full-resized images from the same RGB flights. The extracted tree crowns have been ...