The Progression of Vegetation Indices: a Short Overview

  • Kristóf Solymosi Kaposvár University, Faculty of Agricultural and Environmental Sciences, H-7400 Kaposvár, Guba S. 40.
  • György Kövér Kaposvár University, Faculty of Economic Sciences, H-7400 Kaposvár, Guba S. 40.
  • Róbert Romvári Kaposvár University, Faculty of Agricultural and Environmental Sciences, H-7400 Kaposvár, Guba S. 40.

Absztrakt

Vegetation indices computed from remote sensing data became key components of agricultural monitoring and assessment. With the help of these indices, the difference of vegetational and other land covers can be contrasted and many useful and applicable data can be gathered ranging from vegetation health to growth dynamics among others. In recent decades, starting from the first Landsat satellite, a huge number of VIs were developed in order to be able to effectively monitor vegetation – the reason for the immense number is due to the fact that every sensor, topographic, geographic, vegetative and atmospheric feature is different, and more so are their combinations. This is the reason why there is no unified spectral band mathematical formula. The aim of this short overview is to provide the reader insight of the main vegetation indices (VIs) that have been used in scientific literature and their development over the last 40 years

Megjelent
2019-04-08
Hogyan kell idézni
Solymosi, K., Kövér, G., & Romvári, R. (2019). The Progression of Vegetation Indices: a Short Overview. Acta Agraria Kaposváriensis, 23(1), 75–90. https://doi.org/10.31914/aak.2264
Rovat
Smart Farming