Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras

TLDR: In this article, the authors evaluate the use of consumer grade digital cameras modified to capture infrared wavelengths for monitoring vegetation and show that infrared converted cameras perform less than standard color cameras in a monitoring setting.

About: This article is published in Agricultural and Forest Meteorology.The article was published on 2014-01-15 and is currently open access. It has received 118 citations till now. The article focuses on the topics: Digital camera.

Figures

Figure 1: Idealized filter profiles (lines) and channel sensitivity (surface) for camera with internal IR rejection filter replaced by a 590nm long pass filter (after: LDP 2012, Nijland, 2012, Buil 2012)

Table 2: Correlation matrix (r) for various near-sensing vegetation indices, as derived from the field experiment (Section 4.1).

Figure 8: Trends in plant health as detected the normal color and 715nm long pass cameraover the course of the Buxus stress experiment. Standard deviations for each plot are (n=24): Green:0.001, IR:0.041.

Figure 2: Examples of images acquired at the botanical garden at UBC in RGB (left) and IR-590 (right). The numbered rectangles identify species of interest (corresponding to Table 1).

Figure 4: Idealized filter profiles for a normal (true-color) RGB camera and a camera with a redrejection dual-band-pass filter as used for the camera simulations.

Figure 7: Trends in plant health as detected by direct (top panels) and simulated (bottom panels) vegetation indices from ASD-fieldspec data over the course of the Buxus stress experiment. Standard deviations for each plot are (n=132): Green100nm:0.08, NDVI:0.07, NIRint:0.17, Greencam:0.04, BlueIR590:0.002, Red reject NDVI:0.07.