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Computer Processing of Remotely-Sensed Images An Introduction Fourth Edition Paul M. Mather University of Nottingham and Mainly Koch Center for Remote Sensing Boston University A John Wiley & Sons,

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What is computer processing of remotely-sensed?

Computer processing of remotely-sensed refers to the use of computer algorithms and software programs to analyze data collected from remote sensing technologies, such as satellites or drones. It involves extracting useful information from the raw sensor data through various data processing techniques.

Who is required to file computer processing of remotely-sensed?

The individuals or organizations involved in the analysis and processing of remotely-sensed data are required to file computer processing of remotely-sensed. This may include researchers, scientists, government agencies, or private companies that utilize remote sensing data for their work or projects.

How to fill out computer processing of remotely-sensed?

To fill out computer processing of remotely-sensed, you need to provide details about the remote sensing data used, the processing algorithms or software employed, and the specific methods and techniques applied during the analysis. This information should be accurately documented and organized in a report or submission form as required by the relevant authorities or organizations.

What is the purpose of computer processing of remotely-sensed?

The purpose of computer processing of remotely-sensed is to derive meaningful and actionable information from the raw sensor data obtained through remote sensing technologies. By utilizing computational techniques, it enables data analysis, feature extraction, pattern recognition, and other data processing tasks to support decision-making, research, monitoring, and various applications in fields such as environmental science, agriculture, urban planning, and disaster management.

What information must be reported on computer processing of remotely-sensed?

The information to be reported on computer processing of remotely-sensed typically includes details about the remote sensing data source, the spatial and temporal extent of the data, the processing algorithms or methods utilized, any preprocessing steps applied to the data, and the resulting outputs or analysis products. Additionally, relevant metadata such as coordinate systems, accuracy assessments, and data quality measures may also need to be documented.

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