CityWatch (Land-Used Classification and Land Displacement)
By utilizing high-resolution satellite imagery (High Resolution Satellite Imagery) combined with advanced Artificial Intelligence and Machine Learning technologies, the process of analyzing and categorizing land use becomes significantly more efficient compared to conducting extensive on-ground surveys. This includes the capability to detect land subsidence and uplift at the millimeter level, enabling the identification of high-risk areas that could impact critical infrastructure. The analysis results can be effectively applied to urban planning and management for public agencies or strategic business planning for private enterprises, ensuring greater efficiency and precision.
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
Land Displacement Analysis
CityWatch integrates Synthetic Aperture Radar (SAR) satellite imagery with advanced Artificial Intelligence (AI) processing to deliver precise ground-level change analysis in designated areas. This cutting-edge system detects land subsidence and uplift with millimeter-level accuracy, presenting the data through trend graphs and change rate maps. The analysis identifies high-risk zones that may impact critical infrastructure, including buildings and key industrial areas, enabling well-informed decisions for maintenance and improvement. These insights can be effectively applied to resource management plans and proactive damage prevention strategies, ensuring long-term operational efficiency and safety.
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