Drones, Aerial Photos, Cameras
Global, multi-scale standing deadwood segmentation in centimeter-scale aerial imagesBackgroundThis article examines how increasing tree mortality worldwide creates an urgent need for efficient approaches to map standing deadwood, including both fully dead crowns and partial canopy dieback, as a basis for monitoring forest dieback and informing management across biomes. Existing remote-sensing methods using RGB aerial imagery often work only for specific regions, resolutions, or forest types, limiting their transferability and value for global applications. Open access copy available |
Automating violence? The anti-politics of ‘smart technology’ in biodiversity conservationBackgroundBiodiversity conservation initiatives, such as the UN's post-2020 Global Biodiversity Framework (30x30), increasingly use smart technologies. Despite recognizing Indigenous and local rights for successful conservation, these initiatives often neglect customary rights and uses. Smart technologies, like AI, camera traps, and drones, enable new surveillance methods. State, private, and corporate actors, including big tech and BINGOs, actively adopt these tools to enhance data access and form smart governance networks. Open access copy available |
A technological biodiversity monitoring toolkit for biocreditsBackgroundOpen access copy available |
Identifying hotspots for ecosystem restoration across heterogeneous tropical savannah-dominated regionsBackgroundIn the U.N. Decade on Ecosystem Restoration, ecological restoration projects are a valuable tool for meeting global sustainability climate goals. Tropical regions are at the center of attention for their high biodiversity, carbon sink, and benefits to culture and human livelihood. Tropical dry savannahs are understudied even though they cover a large portion of tropical regions. Savannah dominated landscapes are valuable for their high plant diversity and vegetation type variation and high species turnover. Benefits to restoring these ecosystem types are also understudied. Open access copy available |
