TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki +4 more
wiley +1 more source
Terrain Synthesis and Authoring based on Iso‐Contours
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier +5 more
wiley +1 more source
Protocol for developing digital 3D zoological collections for research and academic training in a biodiversity global crisis scenario. [PDF]
Delgado C +7 more
europepmc +1 more source
The collective application of shorebird tracking data to conservation
Abstract Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence‐based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership
Autumn‐Lynn Harrison +71 more
wiley +1 more source
Mapping the neurovascular landscape in aging and dementia: cerebral small vessel disease markers in a multicenter Latin American cohort. [PDF]
Altschuler F +24 more
europepmc +1 more source
Advancing conservation breeding programs for marine invertebrates
Abstract In the face of ecosystem change and biodiversity loss caused by climate change and other stressors, conservation breeding, or captive breeding, with the aim of reintroduction for wild population recovery, is an emerging tool for preventing species’ extinction and rehabilitating ecosystems.
Elora H. López‐Nandam +3 more
wiley +1 more source
A framework for maximizing the benefit from retaining regrowth on private land
Abstract Conservation interventions often have lower‐than‐desired positive impacts, as revealed by retrospective counterfactual‐based evaluations. To address this, a prospective counterfactual‐based approach can be used to estimate potential benefits and design conservation interventions to maximize outcomes. We developed a framework for estimating the
Hannah Thomas +4 more
wiley +1 more source
Salivary proteomics suggests persistent inflammatory signatures after clinical healing in recurrent aphthous stomatitis: a hypothesis-generating case-control study. [PDF]
Camargo-Ayala PA +13 more
europepmc +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Artificial intelligence and digital health in Colombia: outlook of the most recent advances and future challenges [PDF]
López DM, Osorio JS.
europepmc +1 more source

