Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications
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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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2Topics & keywords
Topics
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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Funding
- NNNational Natural Science Foundation of ChinaAwards: 41401391, 2013BSJJ017, S2016YFNY0066, 2016YFD0200601, 2014YB071
- NKNational Key Research and Development Program of ChinaAwards: 2016YFD0200601, S2016YFNY0066, 2014YB071, 41401391, 2013BSJJ017
- FRFundamental Research Funds for the Central UniversitiesAwards: 2016YFD0200601, 2013BSJJ017, 41401391, 2014YB071, S2016YFNY0066
- KSKey Science and Technology Program of Shaanxi Province