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Presentation + Paper
14 May 2019 Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses
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Abstract
This paper shows the comparison between multispectral and hyperspectral data collected from UAVs in detecting citrus nitrogen and water stresses. UAVs equipped with multispectral and hyperspectral sensors were flown over Citrus trees at Cal Poly Pomona’s Spadra Farm. The multispectral and/or hyperspectral data are used in the determination of normalized differential vegetation index (NDVI), water band index (WBI), and other vegetation indices. These indices are compared with the proximal sensor data that include handheld spectroradiometer, water potential meter, and chlorophyll meter. Correlations of multispectral and hyperspectral data with the proximal sensor data are shown.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subodh Bhandari, Amar Raheja, Mohammad Chaichi, Frank Pham, Tristan Sherman, Matthew Dohlen, and Sharafat Khan "Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses", Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 1100806 (14 May 2019); https://doi.org/10.1117/12.2518822
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