Determination of Green Leaves Density Using Normalized Difference Vegetation Index via Image Processing of In-Field Drone-Captured Image

Authors

  • John William Orillo Technological University of the Philippines Manila, Philippines. De La Salle University, Manila 1004, Philippines.
  • Gaudencio Bansil Jr Technological University of the Philippines Manila, Philippines.
  • John Joseph Bernardo Technological University of the Philippines Manila, Philippines.
  • Coleen Dizon De La Salle University, Manila 1004, Philippines.
  • Helen Imperial Technological University of the Philippines Manila, Philippines.
  • Anna Mae Macabenta Technological University of the Philippines Manila, Philippines.
  • Robert Palima Jr Technological University of the Philippines Manila, Philippines.v

Keywords:

Normalized Difference Vegetation Index (NDVI), Unmanned Aerial Vehicle (UAV), Image Processing, Remote Sensing,

Abstract

Normalized Difference Vegetation Index (NDVI) is a technique which utilizes the near-infrared and visible bands of the electromagnetic spectrum in order to quantify the vegetation density in a specific area. This study presents a method to determine the NDVI levels of a certain rice paddy through the use of images captured using unmanned aerial vehicle (UAV) and a camera system. The camera system is developed from two action cameras, one with its infrared filter removed and replaced with blue notch filter. It is then attached to a UAV for capturing aerial images of a certain field. The images were then processed in a program written in MATLAB®. A total of 30 samples were selected in a rice field. Each sample is a 1x1-meter area. The NDVI values of the samples were first measured using Oklahoma State University (OSU) Greenseeker prototype, then the images of these samples were taken using the camera system developed. The images were then processed to get the NDVI values. Overall, the measurement of the camera system showed good consistency. The F-test conducted also implied that the system is reliable and can be used as an alternate in determining the NDVI levels in the field.

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Published

2017-06-01

How to Cite

William Orillo, J., Bansil Jr, G., Joseph Bernardo, J., Dizon, C., Imperial, H., Mae Macabenta, A., & Palima Jr, R. (2017). Determination of Green Leaves Density Using Normalized Difference Vegetation Index via Image Processing of In-Field Drone-Captured Image. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-6), 1–5. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2423