How can I improve the accuracy of remote sensing data?
Improving remote sensing accuracy can involve several strategies, such as calibrating sensors, using advanced algorithms, and integrating ground truth data.
What specific algorithms should I consider for better accuracy?
You might want to explore machine learning algorithms like Random Forest, Support Vector Machines, or deep learning techniques for image classification.
How important is ground truth data in this process?
Ground truth data is crucial as it provides a reference for validating and calibrating your remote sensing data, ensuring higher accuracy.
Are there any tools or software you recommend for this?
Yes, tools like ENVI, QGIS, and Google Earth Engine are popular for processing and analyzing remote sensing data.
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