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Using Remote Sensing for Quantity Analysis of Chip Pile Inventory in Mill Yards by Benjamin P. Olga Graduate Thesis Submitted in Partial Fulfillment of the Requirements for the Master’s Degree of
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To fill out using remote sensing, follow these steps:
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Determine the objective: Before using remote sensing, clearly define the purpose and objective of your project.
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Collect necessary data: Gather all relevant data such as satellite images, aerial photos, or LiDAR data.
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Preprocess the data: Clean and preprocess the collected data to make it compatible with the remote sensing software or tool you will use.
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Choose the appropriate technique: Depending on your objective, select the suitable remote sensing technique such as image classification, change detection, or vegetation index analysis.
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Apply the chosen technique: Implement the selected technique on the preprocessed data to extract information or perform analysis.
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Interpret the results: Analyze and interpret the output obtained from remote sensing to gain insights or draw conclusions.
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Communicate the findings: Present the results in a clear and understandable format to convey the information to stakeholders or decision-makers.

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Remote sensing is useful for a variety of industries and purposes. It is particularly beneficial for:
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- Disaster management agencies and emergency responders who require timely information for mitigating and responding to natural disasters.
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- Researchers and scientists from various fields who require spatial data for their studies and analysis.
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- Government agencies for land use planning, environmental impact assessments, and policy-making.

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