Geospatial information is related to geography and mapping, it is helpful in diverse fields such as mapping routes for power lines, logistics, planning network towers for telematics and so much more. Locational information (such as residential areas, buildings and other entities) that is connected to a specific address, city or ZIP code.
The application of geospatial technology is so vast that the opportunities are limitless. We deliver quality services knowing well the need for this drastically changing sector that has been shaping human lives in a revolutionary way.
Fulgent is a leading provider of products and services that help in the growth of the Geospatial Sector, with various demands in the field of photogrammetric mapping services, Global Positioning System, Geographical Information Systems and remote sensing organizations.
Geospatial data varies in 2 formats, namely, the vector data and raster data
Geometric shapes are used to show location and geographic features. There are various methods of representing different objects such as schools, buildings, cities, roads and waterways. Vector Geospatial data is scalable, and is perfect for depicting boundaries, while having small file size.
Vector Data can be further classified into 3 types: point, line (or arc), and polygon data
used to represent discrete data points, used to locate specific locations, cities.
used to represent linear features such as rivers, trails or streets.
used to represent boundaries of a city, lake or forest.
It is also known as grid data, representing surfaces; Includes aerial and satellite imagery, usually represents data via a digital image such as a scanned map or photograph.
There are 2 types of raster data:
Temperature and elevation measurements come under this classification.
Population density can be plotted using discrete raster data.
Rendering spatial data location information into a cell-based format is known as stair stepping, in this data is recorded as pixels or grids within an image.
Geographic information is one of the most valuable datasets that are used in numerous software related to machine learning and AI, Geospatial technology collects, analyses and stores all this information concerning geographic locations, which is used to analyse the human activity and its impact.
Geographic Information System (GIS) uses digital software to amalgamate maps and datasets regarding environmental events or socioeconomic trends, while creating several layers of data maps to analyse complex data in a much more efficient way. Layering can be done using each point which is connected precisely to a location on the Earth.
Analysis of Geospatial information is basically a way of extracting useful data, this can be used to understand all that geographic information while monitoring human activity, it is very much essential for the fight against climate change.
The utilisation of various technologies like a GPS, satellite imagery and laser mapping by Geospatial analysts or geospatial engineers can be used to manifest data intense maps that are layered with geographic information, which can help us understand better about the information that has been collected.
Data at this level is so powerful that it can be used to solve world problems in no time, like finding out natural resources for proper use, combating climate change with figuring out human settlements, finding out the number of schools all over the world.
Precision is everything when it comes to managing data annotations. Machine learning is tedious and requires precise & quality data.
Certified with SOC 2 TYPE 1, we maintain latest industry standards in terms of data security while working for our clients & ensuring privacy.
Automating our processes & utilising skilled professionals to deliver results on time no matter how large, a complete scalable solution.