Scene-Based Correction is a technique used in remote sensing to enhance the quality of satellite imagery by adjusting for atmospheric and sensor-related distortions based on the scene's content. This method improves the accuracy of data interpretation by considering the specific characteristics and conditions of the captured scene rather than relying solely on predefined correction models.

Scene-Based Correction

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact, typically through satellite or aerial imagery. It plays a critical role in environmental monitoring, disaster management, and resource exploration by providing valuable data on Earth's surface and atmosphere.

Remote Sensing

Satellite imagery refers to the images of Earth or other planets collected by imaging satellites operated by governments and businesses around the world. These images are used for a variety of applications including environmental monitoring, urban planning, and disaster management, providing critical data for scientific research and policy-making.

Satellite Imagery

Atmospheric distortions

Sensor-related distortions

Scene's content

Data interpretation is the process of reviewing data through analytical and logical reasoning to derive meaningful insights and conclusions. It involves understanding the context, identifying patterns, and making informed decisions based on the data analysis results.

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