reviewJournal of SensorsJan 1, 2017HYBRID OA

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

Northwest A&F University

Indexed incrossrefdoaj

Abstract

Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications. These indices have been widely implemented within RS applications using different airborne and satellite platforms with recent advances using Unmanned Aerial Vehicles (UAV). Up to date, there is no unified mathematical expression that defines all VIs due to the complexity of different light spectra combinations, instrumentation, platforms, and resolutions used. Therefore, customized algorithms have been developed and tested against a variety of applications according to specific…

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2

Topics & keywords

Keywords
  • Remote sensing
  • Hyperspectral imaging
  • Vegetation (pathology)
  • Representativeness heuristic
  • Computer science
  • Satellite
  • Environmental science
  • Systems engineering
UN Sustainable Development Goals
  • Life in Land
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