Results 61 to 70 of about 4,061 (205)

Using Fine Sediment Monitoring to Quantify Sand Loading Over Time

River Research and Applications, EarlyView.
ABSTRACT Riverine sand loading can lead to geomorphic change, impacting river processes like lateral migration and vertical aggradation or degradation. Yet many sediment monitoring programs track only fine sediment measurable as total suspended solids (TSS). Here, we assess the ability for TSS data to be used to determine sand loading.
Andrew P. Kasun, Karen B. Gran
wiley   +1 more source

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

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 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  

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

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

Using time‐series remote sensing to identify and track individual bird nests at large scales

Remote Sensing in Ecology and Conservation, EarlyView.
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest, Lindsey A. Garner, Ben G. Weinstein, Peter Frederick, Henry Senyondo, Glenda M. Yenni, Ethan P. White   +6 more
wiley   +1 more source

A georeferenced river quality model

Water Science and Technology, 2001
Water quality models have reached a high degree of sophistication, but their weak side remains user interface and output georeferencing. The aim of this paper is to propose an interfacing procedure between two widespread but specialised programming environments: ArcVIEW as a Geographical Information System (GIS) and Matlab as a scientific programming ...
S, Marsili-Libelli, E, Caporali, S, Arrighi, C, Becattelli   +3 more
openaire   +2 more sources

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +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