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Related Concept Videos

Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Introduction to GIS01:28

Introduction to GIS

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Related Experiment Video

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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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GIS based optimal impervious surface map generation using various spatial data for urban nonpoint source management.

Cholyoung Lee1, Kyehyun Kim1, Hyuk Lee2

  • 1Department of Geoinformatics Engineering, Inha University, Incheon, Republic of Korea.

Journal of Environmental Management
|November 13, 2017
PubMed
Summary

Generating accurate impervious surface maps (ISMs) is crucial for managing urban nonpoint source (NPS) pollution and stormwater utility fees (SUFs). An integrated GIS data approach offers the highest accuracy, but land-cover maps are a cost-effective alternative.

Keywords:
Geographic information system (GIS)Impervious surface map (ISM)Land-cover classificationStormwater utility fee (SUF)Urban nonpoint source (NPS) pollution management

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Geographic Information Systems (GIS)

Background:

  • Impervious surfaces like rooftops and roads are primary sources of urban nonpoint source (NPS) pollution.
  • Increasing urban development exacerbates NPS pollution, necessitating effective management strategies.
  • Stormwater utility fees (SUFs), based on impervious ratios, require accurate impervious surface maps (ISMs) for fair assessment.

Purpose of the Study:

  • To propose and evaluate various methods for generating large-scale impervious surface maps (ISMs) using existing GIS data.
  • To compare the accuracy and efficiency of different data sources and integration techniques for ISM creation.
  • To identify the most suitable method for generating accurate ISMs for urban areas, considering practical constraints.

Main Methods:

  • Generation of three types of ISMs using land-cover maps, digital topographic maps, and orthophotographs.
  • Development of an integration method combining multiple spatial data sources for enhanced accuracy.
  • Accuracy assessment using error matrices and Kappa statistics, followed by overlay analysis of misclassified areas.

Main Results:

  • The integration method achieved the highest accuracy (Kappa statistic of 0.99) but incurred longer production times and higher costs.
  • Among single-data methods, the land-cover map yielded the highest accuracy (Kappa statistic of 0.91).
  • Overlay analysis helped identify patterns in misclassified areas, informing method refinement.

Conclusions:

  • The integration method is recommended for generating highly accurate ISMs when time and cost are not limiting factors.
  • For projects with time and budget constraints, using land-cover maps is a practical and effective approach for ISM generation.
  • Accurate ISMs are vital for effective urban stormwater management and the equitable application of stormwater utility fees.