Results 71 to 80 of about 4,291 (216)

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, Christophe Kinnard, Andrea Bertolo   +2 more
wiley   +1 more source

DETECÇÃO, RECONHECIMENTO E GEORREFERENCIAMENTO DE LOGOTIPOS

Colloquium Exactarum, 2013
Mobile Mapping Systems (MMS) Land collect data for mapping routes and provide data for geographic information systems. They integrate digital imaging sensors, navigation and positioning embedded, thus they collect data for mapping streets and avenues
Letícia Aparecida de Moura Camelo, Francisco Assis da Silva, Ricardo Luís Barbosa, Mário Augusto Pazoti, Leandro Luiz de Almeida   +4 more
doaj  

Self-portrait of a city. City and Architecture in Bologna in the maps between the 18th and 19th centuries

Disegnare con, 2012
The plan, being project tool and representation at the same time, allows an understanding, by means of ancient cartography, of the ancient city as an entity with its own identity connotation, whose definition derives mainly from the clarity of the ...
Gabriele Bitelli, Giorgia Gatta, Aurelio Muzzarelli, Maura Savini, Diana Tura   +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

Georeferencing Animal Specimen Datasets

Transactions in GIS, 2014
AbstractFor biodiversity research, the field of study that is concerned with the richness of species of our planet, it is of the utmost importance that the location of an animal specimen find is known with high precision. Due to specimens often having been collected over the course of many years, their accompanying geographical data is often ambiguous ...
Marieke van Erp, Robert Hensel, Davide Ceolin, Marian van der Meij   +3 more
openaire   +2 more sources

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

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

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

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

Georeferenced data in epidemiologic research [PDF]

Ciência & Saúde Coletiva, 2008
This paper reviews some conceptual and practical issues regarding the application of georeferenced data in epidemiologic research. Starting with the disease mapping tradition of geographical medicine, topics such as types of georeferenced data, implications for data analysis, spatial autocorrelation and main analytical approaches are heuristically ...
openaire   +4 more sources