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Implementing Geographic Information System (GIS) tools: Algorithm and Quantum Geographic Information System (QGIS) plugin for automatic detection of riverbed forms.
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December 2024
Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology Nowowiejska 20St, Warsaw 00-653, Poland.
This paper introduces the Sandbar Detector plugin for Quantum Geographic Information System (QGIS), designed to streamline the detection and analysis of riverbed forms, previously hindered by time-consuming manual methods requiring extensive expertise in remote sensing and Geographic Information System (GIS). The Sandbar Detector plugin, developed in Python, leverages the Sentinel Water Mask (SWM), a reliable remote sensing water index, for precise differentiation between water and land. By integrating SWM with QGIS, the plugin utilises high-resolution data from Sentinel-2 satellites, offering a robust tool for environmental analysis.
View Article and Find Full Text PDFStatistical processing of building and neighborhood data considering energy ratings in Dublin, Ireland.
Data Brief
December 2024
School of Architecture Planning and Environmental Policy, University College Dublin, Ireland.
This paper presents a methodology aimed to enhance urban energy analysis through the utilization of geospatial data to collect and integrate not only building data but also data related to the urban context in which buildings are situated. Utilizing datasets like the GeoDirectory Building Energy Ratings (BER) dataset of Ireland, supplemented by data of Digital Landscape Models (DLM) Core Data from Tailte Éireann Surveying (PRIME2 Dataset), landscape map of Dublin, we acquire both geometric and non-geometric data related to buildings in Dublin at both building and neighborhood scales. These datasets enable us to perform effective neighborhood-scale analysis and built environment analysis within a geospatial context.
View Article and Find Full Text PDFCONTEXTS.py (): A supervised contextual post-classification method to access multiple dimensions of complex geospatial objects.
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June 2024
Department of Human Geography, Stockholm University - Geovetenskapens hus, Svante Arrhenius väg 8, Frescati, Stockholm 106 91, Sweden.
The qualitative dimensions of visible features in space can be captured by connecting spatial configurations arranged in a variety of different ways to diverse . By conceptual spaces, we intend mental concepts describing specific spatial configurations present in a geographical area, defined by the contextual relationships among their constitutive elements. This paper presents a new supervised post-classification method allowing the extraction of semantically complex spatial objects from a single image of the Earth as, for instance, diverse conceptual spaces referring to multiple dimensions of land use (temporal, cultural, social, etc.
View Article and Find Full Text PDFLionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area.
Geographies
June 2023
Department of Public Health Sciences, Penn State College of Medicine, Penn State University, Hershey, PA 17033, USA.
In 2018, the Penn State Cancer Institute developed LionVu, a web mapping tool to educate and inform community health professionals about the cancer burden in Pennsylvania and its catchment area of 28 counties in central Pennsylvania. LionVu, redesigned in 2023, uses several open-source JavaScript libraries (i.e.
View Article and Find Full Text PDFPredicting the future land use and land cover changes for Saroor Nagar Watershed, Telangana, India, using open-source GIS.
Environ Monit Assess
November 2023
Department of Civil Engineering, Maturi Venkata Subba Rao Engineering College, Hyderabad, Telangana, India.
The dynamics of land use and land cover are profoundly affected by the growth, mobility, and demand of people. Thematic maps of land use and land cover (LULC) help planners account for conservation, concurrent uses, and land-use compressions by providing a reference for analysis, resource management, and prediction. The purpose of this research is to identify the transition of land-use changes in the Saroor Nagar Watershed between 2008 and 2014 using the Modules for Land Use Change Evaluation (MOLUSCE) plugin (MLP-ANN) model and to forecast and establish potential land-use changes for the years 2020 and 2026.
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