This comparison demonstrates the valuable applications of Sentinel-2 data in remote sensing and agriculture as it provides insights into using this satellite imagery for crop classification, responsiveness to fertilization, vegetation index computation, and horticulture inventory. Researchers can leverage these techniques to enhance their remote sensing capabilities and improve agricultural monitoring and management practices.
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