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Journal of Applied Remote Sensing

Construction of an unmanned aerial vehicle remote sensing system for crop monitoring
Author(s): Seungtaek Jeong; Jonghan Ko; Mijeong Kim; Jongkwon Kim
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Paper Abstract

We constructed a lightweight unmanned aerial vehicle (UAV) remote sensing system and determined the ideal method for equipment setup, image acquisition, and image processing. Fields of rice paddy (Oryza sativa cv. Unkwang) grown under three different nitrogen (N) treatments of 0, 50, or 115  kg/ha were monitored at Chonnam National University, Gwangju, Republic of Korea, in 2013. A multispectral camera was used to acquire UAV images from the study site. Atmospheric correction of these images was completed using the empirical line method, and three-point (black, gray, and white) calibration boards were used as pseudo references. Evaluation of our corrected UAV-based remote sensing data revealed that correction efficiency and root mean square errors ranged from 0.77 to 0.95 and 0.01 to 0.05, respectively. The time series maps of simulated normalized difference vegetation index (NDVI) produced using the UAV images reproduced field variations of NDVI reasonably well, both within and between the different N treatments. We concluded that the UAV-based remote sensing technology utilized in this study is potentially an easy and simple way to quantitatively obtain reliable two-dimensional remote sensing information on crop growth.

Paper Details

Date Published: 1 June 2016
PDF: 14 pages
J. Appl. Rem. Sens. 10(2) 026027 doi: 10.1117/1.JRS.10.026027
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Seungtaek Jeong, Chonnam National Univ. (Republic of Korea)
Jonghan Ko, Chonnam National Univ. (Republic of Korea)
Mijeong Kim, Chonnam National Univ. (Republic of Korea)
Jongkwon Kim, Junsung E&R (Republic of Korea)

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