Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses

Subodh Bhandari; Amar Raheja; Mohammad Chaichi; Frank Pham; Tristan Sherman; Matthew Dohlen; Sharafat Khan

doi:10.1117/12.2518822

14 May 2019 Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses

Subodh Bhandari, Amar Raheja, Mohammad Chaichi, Frank Pham, Tristan Sherman, Matthew Dohlen, Sharafat Khan

Author Affiliations +

Proceedings Volume 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV; 1100806 (2019) https://doi.org/10.1117/12.2518822
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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

Citation Download Citation

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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