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Related Concept Videos

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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Manipulation and Analysis01:21

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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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Levels of Use of a GIS01:29

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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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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Thematic Layering in GIS01:30

Thematic Layering in GIS

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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (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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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Combining Participatory Mapping and Geospatial Analysis Techniques to Assess Wildfire Risk in Rural North Vietnam.

Andrea Bartolucci1, Michele Marconi2, Michele Magni3

  • 1Institute of Security and Global Affairs (ISGA), University of Leiden, Wijnhaven, Turfmarkt 99, 2511 DP, The Hague, Netherlands.

Environmental Management
|January 21, 2022
PubMed
Summary

Participatory mapping combined with geospatial techniques effectively assessed wildfire risk in Vietnam. Higher fire probability was found in areas with less human activity, highlighting community involvement for better fire prevention.

Keywords:
Crowdsourced dataForest firesMODISRural economyStakeholdersSwidden cultivationVan Chan district

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Area of Science:

  • Environmental Science
  • Geospatial Analysis
  • Community-based Research

Background:

  • Fire risk assessment is challenging in data-scarce regions.
  • Integrating crowdsourced data with geospatial techniques improves information reliability.
  • Forestry-dependent economies are vulnerable to wildfire impacts.

Purpose of the Study:

  • To assess fire risk in Van Chan district, Vietnam, using a combined participatory mapping and geospatial approach.
  • To model wildfire probability based on physical and socio-economic variables.
  • To understand the drivers influencing fire occurrence and support prevention strategies.

Main Methods:

  • Employed a participatory mapping (PM) approach involving local stakeholders to create a wildfire map.
  • Integrated PM data with geospatial techniques for analysis.
  • Modeled fire probability using physical and socio-economic variables and compared results with MODIS data (2000-2020).

Main Results:

  • Identified higher fire probability in areas with lower human pressure.
  • Revealed key socio-economic drivers influencing wildfire occurrence.
  • Generated a fire-probability map for the study area.

Conclusions:

  • Combining participatory approaches and geospatial techniques is crucial for accurate fire risk assessment and prediction.
  • Community involvement is fundamental for effective decision-making, prevention actions, and developing fire control guidelines.
  • The study provides valuable insights for wildfire management in data-limited regions.