Michael E Hodgson
Biographic Data
| ID | 4785472 |
|---|---|
| NAME | Michael E Hodgson |
| GIVEN NAMES | Michael E |
| FAMILY NAME | Hodgson |
| SIGNATURE | HODGSON M E |
| AFFILIATIONS | University of South Carolina |
| ORCID | 0000-0002-1800-5833 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 32 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
A Sensor-Based Simulation Method for Spatiotemporal Event Detection
Human movements in urban areas are essential to understand human–environment interactions. However, activities and associated movements are full of uncertainties due to the complexity of a city. In this paper, we propose a novel sensor-based approach for spatiotemporal event detection based on the Discrete Empirical Interpolation Method. Specifically, we first identify the key locations, defined as “sensors”, which have the strongest correlation …
Converting street view images to land cover maps for metric mapping
An indoor landscape for instruction of 3-D aerial drone imagery
An introduction in the use of small unmanned aerial systems for mapping is becoming a desirable course for undergraduate students. The controllability of drone aircraft and quality cameras, even in less expensive aerial models, offers opportunities for students to learn and collect their own imagery for a variety of applications. This opportunity can be taught with an active learning approach. The challenge for instructors is to cover the three f…
Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS applicatio…
Vulnerability of populations exposed to seismic risk in the state of Oklahoma
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…
How many Carolina bays? An analysis of Carolina bays from USGS topographic maps at different scales
Carolina bays are elliptical or oval geomorphologic depressions often characterized by the presence of shallow ponds or swamps, that occur in the Atlantic Coastal Plain of the US from Delaware to Florida. Explanations of their origin include meteor impacts, subsidence from subsurface karst, and thermo karst or thaw lakes. Quantification of the number of Carolina bays, which may help in forming theoretical explanations for their origin, is also el…
A Process Oriented Areal Interpolation Technique
The Modifiable Areal Unit Problem (MAUP) is the classic term for describing different totals observed from spatially different aggregation units. In a typical analytical problem (e.g. estimating total population within a watershed from census unit totals) the spatial distribution of populations within the census units are modeled. To minimize MAUP errors, areal interpolation techniques are used to model such sub-unit population distributions. Are…
Modeling Remote Sensing Satellite Collection Opportunity Likelihood for Hurricane Disaster Response
State and local agencies involved in emergency response to natural disasters such as hurricanes have explicitly indicated they need imagery covering the disaster area within three days of the event; and more desirably within 24 hours of the event. Airborne image collections have often been used but suffer from several problems, most noticeably the collection time (days or week) required for larger areas. The use of remote sensing satellites carry…
Modeling the Potential Swath Coverage of Nadir and Off-Nadir Pointable Remote Sensing Satellite-Sensor Systems
Pointable sensor systems onboard many earth resources satellites today, particularly the higher spatial resolution sensors, provide for a near infinite set of collection opportunities. Satellite orbits of these systems are not systematic repetitive tracks. Predicting future collection opportunities requires predicting where the satellite will be and then computing the potential swath coverage from a pointable sensor along these orbits. While each…
Visual Search for Land Use Objects in Aerial Photographs
Although visual search has been a topic of interest for some time, most search processes have considered simple target symbols in a plain background. The purpose of the current study was to consider more realistic search processes that involved complex targets and backgrounds. A cognitive experiment was conducted in which subjects searched for specific types of land use in aerial photographs. Subjects were presented displays with simple or comple…
Visual Categorization with Aerial Photographs
This article investigates how people process information from aerial photographs to categorize locations. Three cognitive experiments were conducted with human subjects viewing a series of aerial photographs and categorizing the land use for target locations. Reaction time, accuracy, and confidence were considered as dependent variables related to the success of the categorization process. The first experiment considered two categories of land us…
Subsidized Inequities
This paper examines the relationship between the location of environmental risks and federally assisted public housing (Housing and Urban Development [HUD] Section 8) in a sample of eight medium-sized United States metropolitan areas. Using four U.S. Environmental Protection Agency databases, locational and potential risk exposure surfaces were constructed for each study area using a GIS-based methodology. Families living in HUD housing had a gre…
Natural Disasters
Natural Hazards in Puerto Rico
TOURISM literature portrays Puerto Rico as an American paradise, a destination for tourists interested in the casinos and nightlife of San Juan or the natural beauty of the Caribbean beaches and El Junque National Forest. Yet Puerto Rico also has a sizable potential for natural disasters. Each year, from July to November, a series of hurricanes passes through the Caribbean region. One such storm, Hurricane Hugo, struck Puerto Rico and the Virgin …
Earthquake Insurance
Earthquake insurance can reduce potentially disastrous economic losses to house• holds and is therefore a prime method of mitigating against the worst economic effects of damaging earthquakes. The decision to purchase such insurance is a special case in the general study of individual response to uncertainty in the environment. An understanding of this decision process elucidates the ways in which environmental information becomes translated into…
Subsidized Inequities
This paper examines the relationship between the location of environmental risks and federally assisted public housing (Housing and Urban Development [HUD] Section 8) in a sample of eight medium-sized United States metropolitan areas. Using four U.S. Environmental Protection Agency databases, locational and potential risk exposure surfaces were constructed for each study area using a GIS-based methodology. Families living in HUD housing had a gre…
Earthquake Insurance
Earthquake insurance can reduce potentially disastrous economic losses to house• holds and is therefore a prime method of mitigating against the worst economic effects of damaging earthquakes. The decision to purchase such insurance is a special case in the general study of individual response to uncertainty in the environment. An understanding of this decision process elucidates the ways in which environmental information becomes translated into…
Natural Hazards in Puerto Rico
TOURISM literature portrays Puerto Rico as an American paradise, a destination for tourists interested in the casinos and nightlife of San Juan or the natural beauty of the Caribbean beaches and El Junque National Forest. Yet Puerto Rico also has a sizable potential for natural disasters. Each year, from July to November, a series of hurricanes passes through the Caribbean region. One such storm, Hurricane Hugo, struck Puerto Rico and the Virgin …
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 Process Oriented Areal Interpolation Technique
The Modifiable Areal Unit Problem (MAUP) is the classic term for describing different totals observed from spatially different aggregation units. In a typical analytical problem (e.g. estimating total population within a watershed from census unit totals) the spatial distribution of populations within the census units are modeled. To minimize MAUP errors, areal interpolation techniques are used to model such sub-unit population distributions. Are…
Visual Categorization with Aerial Photographs
This article investigates how people process information from aerial photographs to categorize locations. Three cognitive experiments were conducted with human subjects viewing a series of aerial photographs and categorizing the land use for target locations. Reaction time, accuracy, and confidence were considered as dependent variables related to the success of the categorization process. The first experiment considered two categories of land us…
Natural Disasters
Earthquake Insurance
Earthquake insurance can reduce potentially disastrous economic losses to house• holds and is therefore a prime method of mitigating against the worst economic effects of damaging earthquakes. The decision to purchase such insurance is a special case in the general study of individual response to uncertainty in the environment. An understanding of this decision process elucidates the ways in which environmental information becomes translated into…
Natural Hazards in Puerto Rico
TOURISM literature portrays Puerto Rico as an American paradise, a destination for tourists interested in the casinos and nightlife of San Juan or the natural beauty of the Caribbean beaches and El Junque National Forest. Yet Puerto Rico also has a sizable potential for natural disasters. Each year, from July to November, a series of hurricanes passes through the Caribbean region. One such storm, Hurricane Hugo, struck Puerto Rico and the Virgin …
Natural Disasters
Subsidized Inequities
This paper examines the relationship between the location of environmental risks and federally assisted public housing (Housing and Urban Development [HUD] Section 8) in a sample of eight medium-sized United States metropolitan areas. Using four U.S. Environmental Protection Agency databases, locational and potential risk exposure surfaces were constructed for each study area using a GIS-based methodology. Families living in HUD housing had a gre…
Visual Search for Land Use Objects in Aerial Photographs
Although visual search has been a topic of interest for some time, most search processes have considered simple target symbols in a plain background. The purpose of the current study was to consider more realistic search processes that involved complex targets and backgrounds. A cognitive experiment was conducted in which subjects searched for specific types of land use in aerial photographs. Subjects were presented displays with simple or comple…
Visual Categorization with Aerial Photographs
This article investigates how people process information from aerial photographs to categorize locations. Three cognitive experiments were conducted with human subjects viewing a series of aerial photographs and categorizing the land use for target locations. Reaction time, accuracy, and confidence were considered as dependent variables related to the success of the categorization process. The first experiment considered two categories of land us…
Modeling the Potential Swath Coverage of Nadir and Off-Nadir Pointable Remote Sensing Satellite-Sensor Systems
Pointable sensor systems onboard many earth resources satellites today, particularly the higher spatial resolution sensors, provide for a near infinite set of collection opportunities. Satellite orbits of these systems are not systematic repetitive tracks. Predicting future collection opportunities requires predicting where the satellite will be and then computing the potential swath coverage from a pointable sensor along these orbits. While each…
Modeling Remote Sensing Satellite Collection Opportunity Likelihood for Hurricane Disaster Response
State and local agencies involved in emergency response to natural disasters such as hurricanes have explicitly indicated they need imagery covering the disaster area within three days of the event; and more desirably within 24 hours of the event. Airborne image collections have often been used but suffer from several problems, most noticeably the collection time (days or week) required for larger areas. The use of remote sensing satellites carry…
A Process Oriented Areal Interpolation Technique
The Modifiable Areal Unit Problem (MAUP) is the classic term for describing different totals observed from spatially different aggregation units. In a typical analytical problem (e.g. estimating total population within a watershed from census unit totals) the spatial distribution of populations within the census units are modeled. To minimize MAUP errors, areal interpolation techniques are used to model such sub-unit population distributions. Are…
How many Carolina bays? An analysis of Carolina bays from USGS topographic maps at different scales
Carolina bays are elliptical or oval geomorphologic depressions often characterized by the presence of shallow ponds or swamps, that occur in the Atlantic Coastal Plain of the US from Delaware to Florida. Explanations of their origin include meteor impacts, subsidence from subsurface karst, and thermo karst or thaw lakes. Quantification of the number of Carolina bays, which may help in forming theoretical explanations for their origin, is also el…
Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS applicatio…
Vulnerability of populations exposed to seismic risk in the state of Oklahoma
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…
An indoor landscape for instruction of 3-D aerial drone imagery
An introduction in the use of small unmanned aerial systems for mapping is becoming a desirable course for undergraduate students. The controllability of drone aircraft and quality cameras, even in less expensive aerial models, offers opportunities for students to learn and collect their own imagery for a variety of applications. This opportunity can be taught with an active learning approach. The challenge for instructors is to cover the three f…
Converting street view images to land cover maps for metric mapping
A Sensor-Based Simulation Method for Spatiotemporal Event Detection
Human movements in urban areas are essential to understand human–environment interactions. However, activities and associated movements are full of uncertainties due to the complexity of a city. In this paper, we propose a novel sensor-based approach for spatiotemporal event detection based on the Discrete Empirical Interpolation Method. Specifically, we first identify the key locations, defined as “sensors”, which have the strongest correlation …
Geography (14 works) · Computer Science (10 works) · Artificial Intelligence (9 works) · Cartography (7 works) · Engineering (7 works) · Remote sensing (5 works) · Disaster Management and Resilience (4 works) · Business (3 works) · Economics (3 works) · Environmental health (3 works)