Results 21 to 30 of about 170,401 (279)

Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment

Remote Sensing, 2020
Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes) with similar visual attributes hinder ...
Shamsudeen Temitope Yekeen, Abdul-Lateef Balogun   +1 more
doaj   +1 more source

Artificial neural networks in geospatial analysis [PDF]

, 2017
Artificial neural networks are computational models widely used in geospatial analysis for data classification, change detection, clustering, function approximation, and forecasting or prediction. There are many types of neural networks based on learning
Bishop, Carpenter, Carpenter, Ripley
core   +1 more source

Crop Residue burning from high-resolution satellite imagery and PM2.5 dispersion: A case study of Mississippi County, Arkansas, USA

Sustainable Environment, 2023
Crop residue burns typically result in particulate matter (PM2.5), methane (CH4), carbon monoxide (CO), nitrous oxide (N2O), nitrogen oxides (NOx), volatile organic carbon (VOC), and black carbon emissions, which affect air quality and can pose a risk to
Maryam Zamanialaei, Aaron M. Shew, Justin J. Fain, Ally Borkowski, Jessica L. McCarty   +4 more
doaj   +1 more source

Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models

Remote Sensing, 2020
Oil spills are a global phenomenon with impacts that cut across socio-economic, health, and environmental dimensions of the coastal ecosystem. However, comprehensive assessment of oil spill impacts and selection of appropriate remediation approaches have
Abdul-Lateef Balogun, Shamsudeen Temitope Yekeen, Biswajeet Pradhan, Omar F. Althuwaynee   +3 more
doaj   +1 more source

Surface temperatures in New York City: Geospatial data enables the accurate prediction of radiative heat transfer [PDF]

, 2017
Three decades into the research seeking to derive the urban energy budget, the dynamics of the thermal exchange between the densely built infrastructure and the environment are still not well understood.
Aghamohamadnia, Milad, Emig, Thorsten, Ghandehari, Masoud   +2 more
core   +5 more sources

UAS for Wetland Mapping and Hydrological Modeling

Remote Sensing, 2019
The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost
Justyna Jeziorska
doaj   +1 more source

GEOSPATIAL TECHNOLOGIES IN 3D DOCUMENTATION AND PROMOTION OF CULTURAL HERITAGE - EXAMPLE OF FORTICA FORTRESS ON THE ISLAND OF PAG [PDF]

Geodetski Glasnik, 2019
The development of geospatial technologies (GST) has accelerated the process of 3D documentation and facilitated the promotion of cultural heritage. In this paper 3D documentation and promotion of Fortica fortress (Pag island, Republic of Croatia) has ...
Ivan Marić, Ante Šiljeg, Fran Domazetović   +2 more
doaj   +1 more source

Using high resolution optical imagery to detect earthquake-induced liquefaction: the 2011 Christchurch earthquake [PDF]

, 2020
Using automated supervised methods with satellite and aerial imageries for liquefaction mapping is a promising step in providing detailed and region-scale maps of liquefaction extent immediately after an earthquake.
Baise, Laurie G., Koch, Magaly, Rashidian, Vahid   +2 more
core   +1 more source

Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites

Remote Sensing, 2021
Rising sea level is generally assumed and widely reported to be the significant driver of coastal erosion of most low-lying sandy beaches globally. However, there is limited data-driven evidence of this relationship due to the challenges in quantifying ...
Naheem Adebisi, Abdul-Lateef Balogun, Masoud Mahdianpari, Teh Hee Min   +3 more
doaj   +1 more source

Geospatial information infrastructures [PDF]

, 2019
Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Geospatial information infrastructures (GIIs) provide the technological, semantic ...
A Aksulu, A Degbelo, A Powell, A Rajabifard, ANZLIC, B Jiang, BA Nosek, C Capineri, C Granell, C Granell, C Tsinaraki, C Yang, CJ Bonk, D Arribas-Bel, D Price, D Sui, D Vandenbroucke, D Vrandečić, DJ Maguire, DL Tulloch, G Lü, H Huang, HJ Miller, I Masser, J-W Sjoukema, M Castells, M Craglia, M Craglia, M Haklay, M Lutz, M Lutz, MF Goodchild, MF Goodchild, MG Tait, MP Papazoglou, NF Noy, P Burrough, P Zhao, PA Johnson, PP Mathieu, R Battle, R Kitchin, S Li, S Nativi, S Schade, S Steiniger, T Foresman   +46 more
core   +2 more sources