Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications
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Summary
The spectral characteristics of vegetation are introduced and the development of VIs are summarized, discussing their specific applicability and representativeness according to the vegetation of interest, environment, and implementation precision.
- Type
- review
- Published
- 2017-05-23
- Cited by
- 2,229
- References
- 135
- Access
- Open access
- OpenAlex
- https://openalex.org/W2617056706
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7062181
Keywords
Remote sensing, Hyperspectral imaging, Vegetation (pathology), Representativeness heuristic, Computer science
References
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- Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches
- The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation (A par)
- Development of a smartphone application to characterise temporal and spatial canopy architecture and leaf area index for grapevines
- The vegetative index number and crop identification
- LANDSAT data from agricultural sites: Crop signature analysis
- DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION
- Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. [Great Plains Corridor]
- Automated estimation of leaf area index from grapevine canopies using cover photography, video and computational analysis methods
- The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat
- Monitoring vegetation systems in the great plains with ERTS
- A soil-adjusted vegetation index (SAVI)
- High resolution derivative spectra in remote sensing
- Surface energy fluxes and crop water stress index in groundnut under irrigated ecosystem
- A ratio vegetation index adjusted for soil brightness
- Towards using a thermal infrared index combined with water balance modelling to monitor sugarcane irrigation in a tropical environment
- A general model for the light-use efficiency of primary production
Cited by
- Development of the End-Effector of a Cable-Driven Parallel Manipulator for Automated Crop Sensing
- Integrated remote sensing imagery and two-dimensional hydraulic modeling approach for impact evaluation of flood on crop yields
- Leaf water content estimation by functional linear regression of field spectroscopy data
- An appraisal on the progress of remote sensing applications in soil erosion mapping and monitoring
- Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor
- Estimation of Woody and Herbaceous Leaf Area Index in Sub‐Saharan Africa Using MODIS Data
- Prediction of vegetation dynamics using NDVI time series data and LSTM
- Automated extraction of various vegetative and water body indices from multisensor satellite data: a MATLAB approach
- Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field
- Leaf dorsoventrality as a paramount factor determining spectral performance in field-grown wheat under contrasting water regimes
- Sugarcane ratoon discrimination using LANDSAT NDVI temporal data
- Forest Cover Monitoring and Change Detection in Nfifikh Forest (Morocco)
- Model selection in Bayesian framework to identify the best WorldView-2 based vegetation index in predicting green biomass of salt marshes in the northern Gulf of Mexico
- Investigating the distribution of archaeological sites: Multiparametric vs probability models and potentials for remote sensing data
- AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
- Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
- Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
- Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions
- Spatiotemporal analysis of vegetation cover (1984–2017) and modelling of its change drivers, the case of Pingtan Island, China
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods
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