Results 81 to 90 of about 14,059 (272)

Use of Mercator cartographic representation for Landsat 8 imageries

Geodesy and Cartography, 2017
Nowadays Marine Geographical Information Systems (MGIS) play an essential role in several research activities, the most part of them related to solve Geoscience problems. The nautical maps, containing most of the information used by the marine navigators,
Claudio Meneghini, Claudio Parente
doaj   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source

Georeferencing Works of Literature

, 2010
A pilot web application for collaborative georeferencing of Slovenian works of literature was developed. Problems in georeferencing in general and georeferencing works of literature are discussed.
Solina, Franc, Ravnik, Robert
core  

Release the HOGS: An unsupervised marker extraction, classification and georeferencing approach for biodiversity data

Methods in Ecology and Evolution
Distributional data are essential for understanding species and community responses to environmental and anthropogenic change. Large biodiversity databases provide key information on distributional patterns, but their temporal coverage can be limited ...
Harri Ravenscroft, John Gardner, Utku Perktas, Erin E. Saupe   +3 more
doaj   +1 more source

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, Garrett Cohen, Roberto Salguero‐Gómez   +2 more
wiley   +1 more source

Results from Google Earth address georeferencing.

, 2014
Results from Google Earth address georeferencing.
Ana Isabel Ribeiro (668923), Alexandre Magalhães (668926), Maria Fátima Pina (668927), Hugo Teixeira (668925), Andreia Olhero (668924)   +4 more
core   +1 more source

An Operational System for Estimating Road Traffic Information from Aerial Images

Remote Sensing, 2014
Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyday traffic volumes, there is a risk that they could fail altogether in situations arising from mass events or disasters.
Jens Leitloff, Dominik Rosenbaum, Franz Kurz, Oliver Meynberg, Peter Reinartz   +4 more
doaj   +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

Automated Georeferencing of Antarctic Species.

, 2021
Many text documents in the biological domain contain references to the toponym of specific phenomena (e.g. species sightings) in natural language form "In Garwood Valley summer activity was 0.2% for Umbilicaria aprina and 1.7% for Caloplaca sp. ..." While methods have been developed to extract place names from documents, and attention has been given
Jamie Scott, Kristin Stock, Fraser Morgan, Brandon Whitehead, David Medyckyj-Scott   +4 more
openaire   +3 more sources

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source