PubAg

Main content area

You searched for: Journal ISPRS international journal of geo-information Remove constraint Journal: ISPRS international journal of geo-information Publication Year 2018 Remove constraint Publication Year: 2018 Source 2018 v.7 no.12 Remove constraint Source: 2018 v.7 no.12
Start Over

Search

37  Search Results

« Previous | 1 - 20 of 37 |
Number of results to display per page

Search Results

1. Air Pollution Dispersion Modelling Using Spatial Analyses

Author:
Bitta, Jan; Pavlíková, Irena; Svozilík, Vladislav; Jančík, Petr
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
air pollution; air quality; land cover; land use; models
Abstract:
... Air pollution dispersion modelling via spatial analyses (Land Use Regression—LUR) is an alternative approach to the standard air pollution dispersion modelling techniques in air quality assessment. Its advantages are mainly a much simpler mathematical apparatus, quicker and simpler calculations and a possibility to incorporate more factors affecting pollutant’s concentration than stand ...
DOI:
10.3390/ijgi7120489

2. Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony

Author:
Mehdipoor, Hamed; Zurita-Milla, Raul; Augustijn, Ellen-Wien; van Vliet, Arnold J. H.
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Anemone (plant); Anthriscus sylvestris; Quercus robur; computer simulation; flowering; geographical coordinates; parsley; phenology; spatial data; spring; standard deviation; temperature; volunteers; winter; Netherlands
Abstract:
... The increasing availability of volunteered geographic information (VGI) enables novel studies in many scientific domains. However, inconsistent VGI can negatively affect these studies. This paper describes a workflow that checks the consistency of Volunteered Phenological Observations (VPOs) while considering the synchrony of observations (i.e., the temporal dispersion of a phenological event). Th ...
DOI:
10.3390/ijgi7120487

3. Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery

Author:
Dabiri, Zahra; Lang, Stefan
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Alnus incana; Fraxinus excelsior; Picea abies; Populus; Quercus robur; Salix alba; hybrids; hyperspectral imagery; independent component analysis; principal component analysis; trees
Abstract:
... Hyperspectral imagery provides detailed spectral information that can be used for tree species discrimination. The aim of this study is to assess spectral–spatial complexity reduction techniques for tree species classification using an airborne prism experiment (APEX) hyperspectral image. The methodology comprised the following main steps: (1) preprocessing (removing noisy bands) and masking ...
DOI:
10.3390/ijgi7120488

4. Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh

Author:
Ahmed, Bayes; Rahman, Md. Shahinoor; Islam, Rahenul; Sammonds, Peter; Zhou, Chao; Uddin, Kabir; Al-Hussaini, Tahmeed M.
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
altitude; application programming interface; drainage; e-mail; early warning systems; hills; inventories; land cover; landslides; metropolitan areas; model validation; neural networks; principal component analysis; rain; regression analysis; soil permeability; support vector machines; Bangladesh
Abstract:
... This article aims to develop a Web-GIS based landslide early warning system (EWS) for the Chittagong Metropolitan Area (CMA), Bangladesh, where, in recent years, rainfall-induced landslides have caused great losses of lives and property. A method for combining static landslide susceptibility maps and rainfall thresholds is proposed by introducing a purposely-build hazard matrix. To begin with, ele ...
DOI:
10.3390/ijgi7120485

5. Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics in the Southeastern Region of Bangladesh from 2001 to 2016

Author:
Islam, Shahidul; Ma, Mingguo
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
agricultural land; alluvial plains; climate change; coastal plains; crops; data collection; energy balance; floodplains; forests; hills; hydrology; models; moderate resolution imaging spectroradiometer; monitoring; normalized difference vegetation index; phenology; remote sensing; satellites; spatial data; surface temperature; terracing; time series analysis; trees; watersheds; wetlands; Bangladesh
Abstract:
... Land surface temperature (LST) can significantly alter seasonal vegetation phenology which in turn affects the global and regional energy balance. These are the most important parameters of surface–atmosphere interactions and climate change. Methods for retrieving LSTs from satellite remote-sensing data are beneficial for modeling hydrological, ecological, agricultural and meteorological pro ...
DOI:
10.3390/ijgi7120486

6. Creating a Story Map Using Geographic Information Systems to Explore Geomorphology and History of Methana Peninsula

Author:
Antoniou, Varvara; Ragia, Lemonia; Nomikou, Paraskevi; Bardouli, Pavlina; Lampridou, Danai; Ioannou, Theodora; Kalisperakis, Ilias; Stentoumis, Christos
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Internet; biodiversity; flora; geographic information systems; geomorphology; historical monuments; information dissemination; man-made trails; spatial data; thematic maps; volcanic land
Abstract:
... Story maps are used as an interactive tool for communication and information dissemination. A web-based application using story mapping technology is presented to explore the Methana peninsula. This volcanic area is characterized by specific volcanic geoforms, unique flora and rich history. The story map combines maps, narrative texts and multimedia content. The spatial data produce thematic maps ...
DOI:
10.3390/ijgi7120484

7. Challenges of Mapping Sustainable Development Goals Indicators Data

Author:
Kraak, Menno Jan; Ricker, Britta; Engelhardt, Yuri
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Internet; United Nations; cartography; sustainable development
Abstract:
... The global population is growing at an incomprehensible rate and with it come complex environmental consequences that often result in social injustices. The United Nations has established a set of Sustainable Development Goals (SDGs) in an attempt to ameliorate inequality and promise safety for the masses. To reach these goals, a set of indicators have been identified and their associated data for ...
DOI:
10.3390/ijgi7120482

8. Multi-Scale and Multi-Sensor 3D Documentation of Heritage Complexes in Urban Areas

Author:
Murtiyoso, Arnadi; Grussenmeyer, Pierre; Suwardhi, Deni; Awalludin, Rabby
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
buildings; cameras; case studies; cultural heritage; data collection; multivariate analysis; scanners; tropics; unmanned aerial vehicles; urban areas; weather; Indonesia
Abstract:
... The 3D documentation of heritage complexes or quarters often requires more than one scale due to its extended area. While the documentation of individual buildings requires a technique with finer resolution, that of the complex itself may not need the same degree of detail. This has led to the use of a multi-scale approach in such situations, which in itself implies the integration of multi-sensor ...
DOI:
10.3390/ijgi7120483

9. Towards Detecting Social Events by Mining Geographical Patterns with VGI Data

Author:
Liu, Zhewei; Zhou, Xiaolin; Shi, Wenzhong; Zhang, Anshu
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
autocorrelation; data analysis; data collection; monitoring; social networks; spatial data
Abstract:
... Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging events. Nevertheless, our consideration is that a social event will not only affect semantic signals but also cause irregular human mobility pattern ...
DOI:
10.3390/ijgi7120481

10. Combining the Two-Layers PageRank Approach with the APA Centrality in Networks with Data

Author:
Agryzkov, Taras; Pedroche, Francisco; Tortosa, Leandro; Vicent, José F.
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; data collection; models; topology
Abstract:
... Identifying the influential nodes in complex networks is a fundamental and practical topic at the moment. In this paper, a new centrality measure for complex networks is proposed based on two contrasting models that have their common origin in the well-known PageRank centrality. On the one hand, the essence of the model proposed is taken from the Adapted PageRank Algorithm (APA) centrality, whose ...
DOI:
10.3390/ijgi7120480

11. CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

Author:
Siekański, Piotr; Michoński, Jakub; Bunsch, Eryk; Sitnik, Robert
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; aluminum; cameras; cultural heritage; data collection; issues and policy; models; portable equipment; scanners; Poland
Abstract:
... Camera pose tracking is a fundamental task in Augmented Reality (AR) applications. In this paper, we present CATCHA, a method to achieve camera pose tracking in cultural heritage interiors with rigorous conservatory policies. Our solution is real-time model-based camera tracking according to textured point cloud, regardless of its registration technique. We achieve this solution using orthographic ...
DOI:
10.3390/ijgi7120479

12. New Trends in Using Augmented Reality Apps for Smart City Contexts

Author:
Ramos, Francisco; Trilles, Sergio; Torres-Sospedra, Joaquín; Perales, Francisco J.
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
cities; computer simulation; computer software; geographic information systems; industry; simulation models
Abstract:
... The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing simulations as well, but the progress is slow due to difficulties in creating workable simulations models and effectively providing them to the users. Augmented Reality and Virtu ...
DOI:
10.3390/ijgi7120478

13. Cartographic Line Generalization Based on Radius of Curvature Analysis

Author:
Kolanowski, Bogdan; Augustyniak, Jacek; Latos, Dorota
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; computer graphics; data analysis; topographic maps
Abstract:
... Cartographic generalization is one of the important processes of transforming the content of both analogue and digital maps. The process of reducing details on the map has to be conducted in a planned way in each case when the map scale is to be reduced. As far as digital maps are concerned, numerous algorithms are used for the generalization of vector line elements. They are used if the scale of ...
DOI:
10.3390/ijgi7120477

14. On the Statistical Distribution of the Nonzero Spatial Autocorrelation Parameter in a Simultaneous Autoregressive Model

Author:
Luo, Qing; Griffith, Daniel A.; Wu, Huayi
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Monte Carlo method; autocorrelation; data collection; models; normal distribution; remote sensing; variance; China
Abstract:
... This paper focuses on the spatial autocorrelation parameter ρ of the simultaneous autoregressive model, and furnishes its sampling distribution for nonzero values, for two regular square (rook and queen) tessellations as well as a hexagonal case with rook connectivity, using Monte Carlo simulation experiments with a large sample size. The regular square lattice directly relates to increasingly use ...
DOI:
10.3390/ijgi7120476

15. A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams

Author:
Sibolla, Bolelang H.; Coetzee, Serena; Van Zyl, Terence L.
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Internet; computer simulation; computer vision; spatial data; time series analysis
Abstract:
... Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream. The high frequency and continuous unbound nature of data streams leads to challenges when deriving knowledge from the underlying observations. This paper presents (1) a state of the art review into visual analytics of geospatial, spatio-temporal streaming data, ...
DOI:
10.3390/ijgi7120475

16. Geoinformatics in Citizen Science

Author:
Bordogna, Gloria
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
Halyomorpha; air quality; case studies; land cover; marine mammals; models; monitoring; outreach; spatial data; surveys; Europe
Abstract:
... This editorial introduces the special issue entitled “Geoinformatics in Citizen Science” of the ISPRS International Journal of Geo-Information. The issue includes papers dealing with three main topics. (1) Key tasks of citizen science (CS) in leveraging geoinformatics. This comprises descriptions of citizen science initiatives where geoinformation management and processing is the key m ...
DOI:
10.3390/ijgi7120474

17. Assessment of Displacements of Linestrings Based on Homologous Vertexes

Author:
Mozas-Calvache, Antonio Tomás; Ariza-López, Francisco Javier
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; data collection; geometry; viability
Abstract:
... This study describes a new method that was developed in order to assess the displacements between two linestrings that represent the same element in two datasets based on their shape. Until now, all existing line-based methods have been focused on the calculation of distances or buffer inclusions between the two linestrings. However, these approaches assess a spatial difference between two linestr ...
DOI:
10.3390/ijgi7120473

18. A Parallel-Computing Approach for Vector Road-Network Matching Using GPU Architecture

Author:
Wan, Bo; Yang, Lin; Zhou, Shunping; Wang, Run; Wang, Dezhi; Zhen, Wenjie
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; data collection; roads
Abstract:
... The road-network matching method is an effective tool for map integration, fusion, and update. Due to the complexity of road networks in the real world, matching methods often contain a series of complicated processes to identify homonymous roads and deal with their intricate relationship. However, traditional road-network matching algorithms, which are mainly central processing unit (CPU)-based a ...
DOI:
10.3390/ijgi7120472

19. Identification of Experimental and Control Areas for CCTV Effectiveness Assessment—The Issue of Spatially Aggregated Data

Author:
Dąbrowski, Adam; Matczak, Piotr; Wójtowicz, Andrzej; Leitner, Michael
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
cameras; cities; crime; data quality; geographical coordinates; landscapes; monitoring; police; television; time series analysis; Poland
Abstract:
... Progress in surveillance technology has led to the development of Closed-Circuit Television (CCTV) systems in cities around the world. Cameras are considered instrumental in crime reduction, yet existing research does not unambiguously answer the question whether installing them affects the number of crimes committed. The quasi-experimental method usually applied to evaluate CCTV systems’ ef ...
DOI:
10.3390/ijgi7120471

20. Geospatial Methods and Tools for Natural Risk Management and Communications

Author:
Albano, Raffaele; Sole, Aurelia
Source:
ISPRS international journal of geo-information 2018 v.7 no.12
ISSN:
2220-9964
Subject:
algorithms; artificial intelligence; communications technology; data collection; disaster recovery; models; monitoring; risk assessment; risk management; spatial data; uncertainty
Abstract:
... In the last decade, real-time access to data and the use of high-resolution spatial information have provided scientists and engineers with valuable information to help them understand risk. At the same time, there has been a rapid growth of novel and cutting-edge information and communication technologies for the collection, analysis and dissemination of data, re-inventing the way in which risk m ...
DOI:
10.3390/ijgi7120470