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CORRELATION OF REMOTE SENSING DATA (NDVI) WITH GROUND MEASURED DATA
Abstract
The overall objective of using Normalized Digital Vegetation Index - NDVI is to improve the analysis of vegetation information with remote sensing data. Such estimates are often derived by correlating the NDVI values measured remotely with the ground measured values of some variables. In the conditions of the experiment carried out with zucchini the NDVI index was measured with a Trimble Green Seeker handheld sensor at the full growth. Applied fertilizers contain various nitrogen and phosphorus sources, including ammonium and nitrate, phosphates, and polyphosphates. The highest NDVI value (0.802) was obtained with ammonium nitrate from nitrogen treatments without phosphorus fertilization. The nitrogen source fertilizer with the highest NDVI on a polyphosphate background was KSC - 0.800. The same fertilizer performed best in an orthophosphate background, with an NDVI of 0.815. Best NDVI values were obtained on orthophosphate background. Obtained results are statistically proven. Stronger correlation coefficient exists between NDVI and Zucchini yield - 0.72. The overall goal of using Normalized Digital Vegetation Index - NDVI to improve the analysis of vegetation information with remote sensing data is successful.
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