Share Email Print
cover

Proceedings Paper • new

Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses
Author(s): Subodh Bhandari; Amar Raheja; Mohammad Chaichi; Frank Pham; Tristan Sherman; Matthew Dohlen; Sharafat Khan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 14 May 2019
PDF: 13 pages
Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 1100806 (14 May 2019); doi: 10.1117/12.2518822
Show Author Affiliations
Subodh Bhandari, California State Polytechnic Univ., Pomona (United States)
Amar Raheja, California State Polytechnic Univ., Pomona (United States)
Mohammad Chaichi, California State Polytechnic Univ., Pomona (United States)
Frank Pham, California State Polytechnic Univ., Pomona (United States)
Tristan Sherman, California State Polytechnic Univ., Pomona (United States)
Matthew Dohlen, California State Polytechnic Univ., Pomona (United States)
Sharafat Khan, California State Polytechnic Univ., Pomona (United States)


Published in SPIE Proceedings Vol. 11008:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
J. Alex Thomasson; Mac McKee; Robert J. Moorhead, Editor(s)

© SPIE. Terms of Use
Back to Top