Land used & Object Classification

Land Used Classification

By analyzing high-resolution satellite imagery and combining the analysis with artificial intelligence and machine learning to classify land cover. This algorithm can classify land use in order to identify areas, such as buildings, roads, forests, rivers, and more. The platform allows for precise and timely analysis, while also lowering the costs associated with the traditional method of classifying land use.

The result of the high-resolution satellite imagery analysis is critical for land use comparison and strategic planning. This will greatly improve public city planning as well as corporate strategy planning.

The Land Use Platform by Earth Insights

An example of an analysis to classify land use, with a resolution of a satellite image at a distance of 1.5 meters at Bang Krachao in the southern part of Bangkok in 2018

The Post-Analytic Results for the Efficiency in Strategic Planning

The data from the land use analysis is then examined further to determine the change in land use.

An example of an analysis to classify land use, with a resolution of a satellite image at a distance of 1.5 meters at Bang Krachao in the southern part of Bangkok in 2018

Object Detection

By analyzing high-resolution satellite imagery and combining the analysis with artificial intelligence and machine learning to detect the objects in the image. For instance, the algorithm is able to detect and classify each object in the photo, whether it is a car, truck, train, different type of plane or different type of boat. It can also tell you how many objects were detected in each time period. The findings of the vehicle analysis can be used to improve strategic planning in both the public and private sectors.

The Object Detection Platform by Earth Insights

An example of an analysis to classify the type of an aircraft with a resolution of a satellite image at a distance of 1.5 meters at Suvarnabhumi Airport in 2022