A Geographical Information System (GIS) is a system for recording, storing, analyzing, and managing geographically related data and properties. The geographical information system is also known as a geospatial information system.
GIS satellite imagery is used to build maps and spatial data with the help of photographs taken through satellites. It is similar to a multi-layered map of the Earth.
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In this blog, we’ll focus on the industries where GIS has played a significant part in their development.
The following are some of the industries that heavily rely on GIS:
- Transportation:
One of the most popular GIS application domains is Transportation and it is mainly utilized in both the planning of new roads and the maintenance schedules of existing roads.
GIS can also be used to conduct thorough impact analyses as part of the decision-making process for building new roadways. Many transportation agencies and private firms have been using these for their broad scope in the transportation and logistics sector.
Following are some of them:
- Planning and management of infrastructure
- Analysis of transportation safety.
- Analysis of travel demand
- Control and monitoring of traffic.
- Planning and operation of public transportation.
- Evaluating the economic and environmental consequences
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Defense:
In military operations, the notion of Command, Control, Communication, and Coordination is heavily reliant on the availability of accurate, geographical information to make timely judgments for operational orders.
Cartography, intelligence, battlefield field management, terrain analysis, remote sensing, military installation administration, and monitoring of potential terrorist activity are all examples of how military forces use GIS services.
In addition to navigational data, these include precise information about the target position, the proximity of civilian areas, terrain evaluation, and climatic conditions.
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Energy:
Globally, multi-criteria modeling in GIS has proven effective for locating optimal regions. Solar, wind, geothermal, hydrogen, tidal, wave, hydropower, biomass, nuclear, and fossil fuels are all examples of energy resources.
GIS is transforming not only how we create and transmit energy, but also how we view and utilize our planet’s resources.
These technologies are also useful in locating the optimal places (in terms of natural and cultural resources) and determining the best corridors for resource transmission and distribution.
Wind potential, solar potential, distance to transmission lines, distance to cities, population density, distance to highways, type of land cover, and whether the region is on federal property (i.e., lack of desire to build energy resources in these lands) are some of the types of data retrieved from GIS for locating energy resources.
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Mining:
Mining experts use this software mainly to boost efficiency and cut costs. Engineers and operations personnel utilize this kind of software for facility planning applications, which aid miners in keeping track of existing infrastructure and integrating current data with the mine plan.
Simply said, these technologies can improve the management of every aspect of the mining industry.
Most mining firms use these applications to improve data exchange, processing efficiency, and decision-making to locate profitable locations.
Mining Corporations mainly use GIS to:
- Target mineral exploration.
- Examine the mining situation.
- Construction of a model mine
- Collection of hydro-logical and geological data.
- Improve the policies and management in facilities.
- Examine the impact on the environment.
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Telecom and Network services:
One of the world’s fastest-growing GIS markets is telecommunications.
Telecom companies can use GIS mapping to improve network planning, deployment, maintenance, operations, and even sales and marketing.
These technologies can also help to determine the number of employees needed and where they should be stationed.
Integrating GIS into daily operations can assist telecom companies in achieving the following goals:
- Reduce operating expenses by improving access to and the dependability of infrastructure data.
- Improve the quality of operational decisions
- Simplify network planning in the future.
- Improve the time it takes to respond to network problems.
- Invest your resources wisely.
