Results 81 to 90 of about 3,068,607 (226)
Retrospective image analysis for long‐term demography using Google Earth imagery
Remote Sensing in Ecology and Conservation, EarlyView.We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa +2 more
wiley +1 more source
Remote Sensing, 2020 Aerial photogrammetry by Unmanned Aerial Vehicles (UAVs) is a widespread method to perform mapping tasks with high-resolution to reconstruct three-dimensional (3D) building and façade models. However, the survey of Ground Control Points (GCPs) represents
Yuri Taddia +3 more
doaj +1 more source
Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow
Remote Sensing in Ecology and Conservation, EarlyView.This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré +2 more
wiley +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
Sustainable Development, EarlyView.ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
Elements on the move: How ungulate migration expands Alpine biogeochemical footprints
Journal of Animal Ecology, EarlyView.Using a spatially explicit model parameterized with GPS telemetry, we show that migratory and resident red deer play distinct roles in nitrogen redistribution across alpine landscapes. Migrants uniquely transport nitrogen upslope and up elevation, linking ecosystem element pools and revealing how the loss of migration alters large‐scale ecosystem ...
Kristy M. Ferraro +10 more
wiley +1 more source
System calibration for direct georeferencing
, 2002 Within the last years extensive tests were done to investigate the accuracy performance of integrated GPS/inertial systems for direct georeferencing in airborne photogrammetric environments.
D. Stallmann, M. Cramer
core
Integrative Zoology, EarlyView.We use bibliometric analysis to evaluate geospatial data reuse for invasive alien insect species (IAIS). Of 1032 relevant publications, 51.0% lacked downloadable raw data. Integrating cross‐regional, temporal, and multi‐species data could address single‐study limitations, but data scarcity remains a barrier.
Shuhao Tan +5 more
wiley +1 more source
, 2013 In this lesson, you will learn how to georeference historical maps so that they may be added to a GIS as a raster layer. Georeferencing is required for anyone who wants to accurately digitize data found on a paper map, and since historians work mostly in
Daniel Macfarlane +2 more
core
A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models
Methods in Ecology and Evolution, EarlyView.Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley +1 more source
Future of edge AI in biodiversity monitoring
Methods in Ecology and Evolution, EarlyView.Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet +2 more
wiley +1 more source