Thomas Blaschke
Biographic Data
| ID | 4263161 |
|---|---|
| NAME | Thomas Blaschke |
| GIVEN NAMES | Thomas |
| FAMILY NAME | Blaschke |
| SIGNATURE | BLASCHKE T |
| AFFILIATIONS | University of Salzburg |
| ORCID | 0000-0002-1860-8458 |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 35 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Integrating future land use uncertainty and spatial scales into ecosystem service degradation risk assessment for urban ecological management
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
With the recent advances in earth observation technologies, the increasing availability of data from more and more different satellite sensors as well as progress in semi-automated and automated classification techniques enable the (semi-) automated remote monitoring and analysis of large areas. Online platforms such as Google Earth Engine (GEE) bring data-driven techniques to the desktops of researchers while changing workflows and making excess…
Spatial delineation of urban corridors in North America: An approach incorporating fuzziness based on multi-source geospatial data
Urban corridors are – from a spatial perspective – massively large, linear urban agglomerations consisting of a number of big cities or clusters aligned along high-speed road or rail lines. Fixed administrative boundaries are commonly used to define such urban areas. However, this does not usually reflect the actual extent of the built-up space in today's changing, multi-faceted urban landscape. Earth observation data provide the means to identif…
Adapting mobile map application designs to map use context: A review and call for action on potential future research themes
The increased use of mobile maps in our highly mobile digital culture has resulted in a large variety of map users and map use situations. For mobile map applications that engage a broad user base and feature diverging map usage contexts, one-size-fits-all map interface designs might result in significant usability tradeoffs. To respond to this challenge, changing the map design based on map use context attributes, such as increasing icon sizes f…
A Framework for Cloud-Based Spatially-Explicit Uncertainty and Sensitivity Analysis in Spatial Multi-Criteria Models
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the number of model runs, the spatial, spectral, and temporal resolutions, the number of criterion maps, and the model complexity. The current Spatially-Explicit Uncertainty and Sensitivity Analysis (SE…
An efficient GIS-based approach for sustainability assessment of urban drinking water consumption patterns: A study in Tabriz city, Iran
An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping
In this study, we used Sentinel-1 and Sentinel-2 data to delineate post-earthquake landslides within an object-based image analysis (OBIA). We used our resulting landslide inventory map for training the data-driven model of the frequency ratio (FR) for landslide susceptibility modelling and mapping considering eleven conditioning factors of soil type, slope angle, distance to roads, distance to rivers, rainfall, normalised difference vegetation i…
National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making
Landslides are one of the most detrimental geological disasters that intimidate human lives along with severe damages to infrastructures and they mostly occur in the mountainous regions across the globe. Landslide susceptibility mapping (LSM) serves as a key step in assessing potential areas that are prone to landslides and could have an impact on decreasing the possible damages. The application of the fuzzy best-worst multi-criteria decision-mak…
A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China–Pakistan Economic Corridor (CPEC) Route
Land use types and anthropogenic activities represent considerable threats to groundwater pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels before they become severe. In our research area, located in Gilgit Baltistan in northern Pakistan, groundwater supplies are diminishing due to urban sprawl. In this study, we used a GIS-based DRASTIC model (Depth to water, Recharge, Aquifer media, Soil media, T…
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addressing current challenges of urban complex systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. Yet, by applying a purely data-driven appr…
Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures
Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different …
Modeling Quality of Urban Life Using a Geospatial Approach
The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected o…
Composition of place: Towards a compositional view of functional space
A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notio…
Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density
Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. An object-based support vector machine (SVM) and a linear spectral mixture analysis (LSMA) were integrated to estimate ISA fraction using image…
Urban parks: Visitors’ perceptions versus spatial indicators
Urban green spaces and their role in the quality of life of residents have been studied across multiple disciplines, based on empirical measurements or qualitative studies – however, the relation, and its strength, between spatial indicators of urban green spaces and visitors’ perceptions of green spaces are less known. Addressing this knowledge deficit, the present research uses a Geographical Information System (GIS) to link subjective evaluati…
Measuring urban agglomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China
The rates of urbanization and increase in urban sprawl that have occurred in China over the past thirty years have been unprecedented. This article presents a new city-scale dasymetric modelling approach that incorporates historical census data for 28 cities in the Pearl River Delta area of southern China. It combines Landsat imagery (from 2000, 2005, 2010, and 2015) with a ‘limiting variable’ estimation algorithm to generate a gridded estimate o…
Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach
Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: avail…
Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter
This study aims to explore the effect of the neighborhood scale when estimating public services inequality based on the aggregation of social, environmental, and health-related indicators. Inequality analyses were carried out at three neighborhood scales: the original census blocks and two aggregated neighborhood units generated by the spatial "k"luster analysis by the tree edge removal (SKATER) algorithm and the self-organizing map (SOM) algorit…
Integrating time and the third spatial dimension in landscape structure analysis
Over the last decades, landscape metrics have been increasingly used to describe and analyse landscape structure. This article highlights some limitations of standard landscape structure analysis approaches and examines four major developments in this field: ways of integrating the height dimension of surface and vegetation into landscape metrics, the delineation of ‘meaningful’ landscape units comprising the relief, the problem of relating patte…
Monitoring recovery after earthquakes through the integration of remote sensing, GIS, and ground observations: The case of L’Aquila (Italy)
The usefulness of remote sensing (RS), geographical information systems, and ground observations for monitoring changes in urban areas has been demonstrated through many examples over the last two decades. Research has generally focused on the relief phase following a disaster, but we have instead investigated the subsequent phases involving early recovery, recovery, and development. Our aim was to determine to what extent integration of the avai…
Comparing Subjective and Objective Quality of Life Criteria: A Case Study of Green Space and Public Transport in Vienna, Austria
Geographic Object-Based Image Analysis – Towards a new paradigm
The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing a…
Geographic information science as a multidisciplinary and multiparadigmatic field
Despite the fact that the field of GIScience has been around for two decades, there is still little agreement as to the exact contents and boundaries of the field. Many authors have dedicated several publications concerned with defining the field, yet little consensus has been reached. Because of the highly dynamic nature of the discipline, new areas are constantly added and rigid borders may have a constraining influence on the field. On the con…
GIS-based Backcasting: An innovative method for parameterisation of sustainable spatial planning and resource management
Object based image analysis for remote sensing
Remote sensing imagery needs to be converted into tangible information which can be utilised in conjunction with other data sets, often within widely used Geographic Information Systems (GIS). As long as pixel sizes remained typically coarser than, or at the best, similar in size to the objects of interest, emphasis was placed on per-pixel analysis, or even sub-pixel analysis for this conversion, but with increasing spatial resolutions alternativ…
Urban parks: Visitors’ perceptions versus spatial indicators
Urban green spaces and their role in the quality of life of residents have been studied across multiple disciplines, based on empirical measurements or qualitative studies – however, the relation, and its strength, between spatial indicators of urban green spaces and visitors’ perceptions of green spaces are less known. Addressing this knowledge deficit, the present research uses a Geographical Information System (GIS) to link subjective evaluati…
Comparing Subjective and Objective Quality of Life Criteria: A Case Study of Green Space and Public Transport in Vienna, Austria
Measuring urban agglomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China
The rates of urbanization and increase in urban sprawl that have occurred in China over the past thirty years have been unprecedented. This article presents a new city-scale dasymetric modelling approach that incorporates historical census data for 28 cities in the Pearl River Delta area of southern China. It combines Landsat imagery (from 2000, 2005, 2010, and 2015) with a ‘limiting variable’ estimation algorithm to generate a gridded estimate o…
Geographic information science as a multidisciplinary and multiparadigmatic field
Despite the fact that the field of GIScience has been around for two decades, there is still little agreement as to the exact contents and boundaries of the field. Many authors have dedicated several publications concerned with defining the field, yet little consensus has been reached. Because of the highly dynamic nature of the discipline, new areas are constantly added and rigid borders may have a constraining influence on the field. On the con…
Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach
Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: avail…
GIS-based Backcasting: An innovative method for parameterisation of sustainable spatial planning and resource management
Modeling Quality of Urban Life Using a Geospatial Approach
The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected o…
Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density
Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. An object-based support vector machine (SVM) and a linear spectral mixture analysis (LSMA) were integrated to estimate ISA fraction using image…
Integrating time and the third spatial dimension in landscape structure analysis
Over the last decades, landscape metrics have been increasingly used to describe and analyse landscape structure. This article highlights some limitations of standard landscape structure analysis approaches and examines four major developments in this field: ways of integrating the height dimension of surface and vegetation into landscape metrics, the delineation of ‘meaningful’ landscape units comprising the relief, the problem of relating patte…
Object based image analysis for remote sensing
Remote sensing imagery needs to be converted into tangible information which can be utilised in conjunction with other data sets, often within widely used Geographic Information Systems (GIS). As long as pixel sizes remained typically coarser than, or at the best, similar in size to the objects of interest, emphasis was placed on per-pixel analysis, or even sub-pixel analysis for this conversion, but with increasing spatial resolutions alternativ…
GIS-based Backcasting: An innovative method for parameterisation of sustainable spatial planning and resource management
Geographic Object-Based Image Analysis – Towards a new paradigm
The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing a…
Geographic information science as a multidisciplinary and multiparadigmatic field
Despite the fact that the field of GIScience has been around for two decades, there is still little agreement as to the exact contents and boundaries of the field. Many authors have dedicated several publications concerned with defining the field, yet little consensus has been reached. Because of the highly dynamic nature of the discipline, new areas are constantly added and rigid borders may have a constraining influence on the field. On the con…
Monitoring recovery after earthquakes through the integration of remote sensing, GIS, and ground observations: The case of L’Aquila (Italy)
The usefulness of remote sensing (RS), geographical information systems, and ground observations for monitoring changes in urban areas has been demonstrated through many examples over the last two decades. Research has generally focused on the relief phase following a disaster, but we have instead investigated the subsequent phases involving early recovery, recovery, and development. Our aim was to determine to what extent integration of the avai…
Comparing Subjective and Objective Quality of Life Criteria: A Case Study of Green Space and Public Transport in Vienna, Austria
Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter
This study aims to explore the effect of the neighborhood scale when estimating public services inequality based on the aggregation of social, environmental, and health-related indicators. Inequality analyses were carried out at three neighborhood scales: the original census blocks and two aggregated neighborhood units generated by the spatial "k"luster analysis by the tree edge removal (SKATER) algorithm and the self-organizing map (SOM) algorit…
Integrating time and the third spatial dimension in landscape structure analysis
Over the last decades, landscape metrics have been increasingly used to describe and analyse landscape structure. This article highlights some limitations of standard landscape structure analysis approaches and examines four major developments in this field: ways of integrating the height dimension of surface and vegetation into landscape metrics, the delineation of ‘meaningful’ landscape units comprising the relief, the problem of relating patte…
Urban parks: Visitors’ perceptions versus spatial indicators
Urban green spaces and their role in the quality of life of residents have been studied across multiple disciplines, based on empirical measurements or qualitative studies – however, the relation, and its strength, between spatial indicators of urban green spaces and visitors’ perceptions of green spaces are less known. Addressing this knowledge deficit, the present research uses a Geographical Information System (GIS) to link subjective evaluati…
Measuring urban agglomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China
The rates of urbanization and increase in urban sprawl that have occurred in China over the past thirty years have been unprecedented. This article presents a new city-scale dasymetric modelling approach that incorporates historical census data for 28 cities in the Pearl River Delta area of southern China. It combines Landsat imagery (from 2000, 2005, 2010, and 2015) with a ‘limiting variable’ estimation algorithm to generate a gridded estimate o…
Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach
Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: avail…
Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density
Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. An object-based support vector machine (SVM) and a linear spectral mixture analysis (LSMA) were integrated to estimate ISA fraction using image…
Composition of place: Towards a compositional view of functional space
A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notio…
An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping
In this study, we used Sentinel-1 and Sentinel-2 data to delineate post-earthquake landslides within an object-based image analysis (OBIA). We used our resulting landslide inventory map for training the data-driven model of the frequency ratio (FR) for landslide susceptibility modelling and mapping considering eleven conditioning factors of soil type, slope angle, distance to roads, distance to rivers, rainfall, normalised difference vegetation i…
National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making
Landslides are one of the most detrimental geological disasters that intimidate human lives along with severe damages to infrastructures and they mostly occur in the mountainous regions across the globe. Landslide susceptibility mapping (LSM) serves as a key step in assessing potential areas that are prone to landslides and could have an impact on decreasing the possible damages. The application of the fuzzy best-worst multi-criteria decision-mak…
A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China–Pakistan Economic Corridor (CPEC) Route
Land use types and anthropogenic activities represent considerable threats to groundwater pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels before they become severe. In our research area, located in Gilgit Baltistan in northern Pakistan, groundwater supplies are diminishing due to urban sprawl. In this study, we used a GIS-based DRASTIC model (Depth to water, Recharge, Aquifer media, Soil media, T…
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addressing current challenges of urban complex systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. Yet, by applying a purely data-driven appr…
Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures
Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different …
Modeling Quality of Urban Life Using a Geospatial Approach
The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected o…
A Framework for Cloud-Based Spatially-Explicit Uncertainty and Sensitivity Analysis in Spatial Multi-Criteria Models
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the number of model runs, the spatial, spectral, and temporal resolutions, the number of criterion maps, and the model complexity. The current Spatially-Explicit Uncertainty and Sensitivity Analysis (SE…
An efficient GIS-based approach for sustainability assessment of urban drinking water consumption patterns: A study in Tabriz city, Iran
Adapting mobile map application designs to map use context: A review and call for action on potential future research themes
The increased use of mobile maps in our highly mobile digital culture has resulted in a large variety of map users and map use situations. For mobile map applications that engage a broad user base and feature diverging map usage contexts, one-size-fits-all map interface designs might result in significant usability tradeoffs. To respond to this challenge, changing the map design based on map use context attributes, such as increasing icon sizes f…
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
With the recent advances in earth observation technologies, the increasing availability of data from more and more different satellite sensors as well as progress in semi-automated and automated classification techniques enable the (semi-) automated remote monitoring and analysis of large areas. Online platforms such as Google Earth Engine (GEE) bring data-driven techniques to the desktops of researchers while changing workflows and making excess…
Spatial delineation of urban corridors in North America: An approach incorporating fuzziness based on multi-source geospatial data
Urban corridors are – from a spatial perspective – massively large, linear urban agglomerations consisting of a number of big cities or clusters aligned along high-speed road or rail lines. Fixed administrative boundaries are commonly used to define such urban areas. However, this does not usually reflect the actual extent of the built-up space in today's changing, multi-faceted urban landscape. Earth observation data provide the means to identif…
Integrating future land use uncertainty and spatial scales into ecosystem service degradation risk assessment for urban ecological management
Geography (19 works) · Computer Science (17 works) · Cartography (13 works) · Land Use and Ecosystem Services (12 works) · Environmental Science (9 works) · Mathematics (9 works) · Engineering (8 works) · Artificial Intelligence (7 works) · Remote sensing (7 works) · Data mining (6 works)