Remote Sensing refers to a technology to gather information about an object or area from a distance, usually from an aircraft or satellite, without physical contact.
GIS (Geographic Information System) is a system that captures, stores, analyzes, and manages data and associated attributes, which are spatially referenced to the earth. It enables users to create interactive maps and perform spatial analysis.
GPS (Global Positioning System) on the other hand is a system of satellites, ground stations, and receivers that provide location and time information in all weather conditions anywhere on or near the earth where there is an unobstructed line of sight to four or more GPS satellites.
Remote Sensing, GIS & GPS are closely interconnected. The relationship between these three can be explained in the following ways:
Relationship between Remote Sensing and GIS
Remote sensing provides the data that is used in GIS, such as satellite imagery and aerial photography. GIS is then used to analyze and visualize this data to extract information about the earth’s surface and its features. The combination of remote sensing and GIS allows users to understand the spatial relationships between different features on the earth’s surface and to make decisions based on that information.
Relationship between Remote Sensing and GPS
Remote sensing data can be used to improve the accuracy of GPS measurements. For example, satellite imagery can be used to create a digital elevation model (DEM) of the earth’s surface, which can then be used to improve the accuracy of GPS measurements. Additionally, GPS data can be used to precisely locate features on the earth’s surface that are identified using remote sensing data.
Relationship between GPS & GIS
GIS and GPS are both used to create and analyze geographic data. GIS is used to create and analyze maps and models of the earth’s surface, while GPS is used to measure the precise location of features on the earth’s surface. The combination of GIS and GPS allows users to create highly accurate maps and models of the earth’s surface, and to analyze the spatial relationships between different features.