Dying Grape Leaf - 10 Day Timelapse

This is a 10 day timelapse using the DAQ-A-SD (light sensor) to trigger photo capture by our Survey3N PRO (Manual Focus) RGN camera every 15 minutes.

The manual focus lens wheel in the camera was rotated to focus on the grape leaves. Images captured during low light levels (night time) were removed.

Post processing was performed in our MAPIR Camera Control (MCC) software using the image of the T3-R50 calibration target and the log from the DAQ-A-SD light sensor


Before beginning the time lapse, multiple images of the T3-R50 calibration target were captured by the camera at various shutter speeds. The 1/500s shutter speed was selected as it provided the best contrast during solar noon. Then multiple additional images were captured of the target, rotating and moving the target around to capture different angles. During post processing the best image was manually selected. Below you can download the calibration target image used and see how it was processed.

Calibration Target Photo
(Original Survey3 RGN JPG)
Calibration Target Photo
(Target Selection)
Calibration Target Photo
(Calibrated TIFF)
Calibration Target Photo
(NDVI Index)
Calibration Target Photo
(NDVI LUT 0.2-1.0)

Of the 972 RAW+JPG image pairs captured, 283 pairs remained after removing the ones that were too dark. You can download the sorted images below and test them in MCC.

We chose 1 photo from each day that were captured within 1 hour of each other. Images chosen contained about the same amount of ambient light intensity. The 6th day was noticeably darker then the other 9 days, so we removed the 6th day image.

We processed the images in MCC for the NDVI index, and set the color LUT range from 0.2 - 1.0 (min - max, red - green). The processed images can be downloaded and seen below:

 

The resulting 9 day animation can be downloaded below (too large to embed on website):

Here is a crop animation of the images showing the dying grape leaf:

Leaf Dying: Captured Using Survey3N PRO (Manual Focus) - RGN Camera