Utilizing Electromagnetic Radiation in Remote Sensing for Vegetation Health Analysis Using NDVI Approach with Sentinel-2 Imagery

Authors

  • Rizky Pamuji Universitas Lambung Mangkurat
  • Andi Ichsan Mahardika Universitas Lambung Mangkurat
  • Nuruddin Wiranda Universitas Lambung Mangkurat
  • Novan Alkaf Bahraini Saputra Universitas Lambung Mangkurat
  • Muhammad Hifdzi Adini Universitas Lambung Mangkurat
  • Delsika Pramatasari Universitas Lambung Mangkurat

DOI:

https://doi.org/10.37891/kpej.v6i2.486

Keywords:

Bands, Electromagnetic radiation, Image data, NDVI, Sentinel-2

Abstract

The process of utilizing electromagnetic radiation from the radiometric values (Near-Infrared/NIR) and RED in the Normalized Difference Vegetation Index (NDVI) on Sentinel-2 imagery involves measuring light reflection at specific wavelengths reflected by vegetation. NDVI is computed by taking the difference between NIR and RED reflectance, then dividing it by their sum. In-depth analysis of electromagnetic wave interaction and plant spectral characteristics, such as NIR light reflection in healthy leaves, enables mapping vegetation health levels. The research aims to process image data and create a model visualizing vegetation health in the Sentinel-2 research area. Across the total area of 601,971,281.26 m2, 30.37% is healthy vegetation, 12.52% is moderate, and 53.33% is low or unhealthy. The least healthy area has an NDVI of -0.2006, while the healthiest area has a value of 0.6043.

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Published

20-12-2023

How to Cite

Pamuji, R., Mahardika, A. I., Wiranda, N., Saputra, N. A. B., Adini, M. H., & Pramatasari, D. (2023). Utilizing Electromagnetic Radiation in Remote Sensing for Vegetation Health Analysis Using NDVI Approach with Sentinel-2 Imagery. Kasuari: Physics Education Journal (KPEJ), 6(2), 127–135. https://doi.org/10.37891/kpej.v6i2.486

Issue

Vol. 6 No. 2 (2023): December 2023

Section

Articles

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