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A modified soil adjusted vegetation index
Remote Sensing of Environment, 1994There is currently a great deal of interest in the quantitative characterization of temporal and spatial vegetation patterns with remotely sensed data for the study of earth system science and global change. Spectral models and indices are being developed to improve vegetation sensitivity by accounting for atmosphere and soil effects. The soil-adjusted
J. Qi +4 more
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The Vegetation Index and the Study of Vegetation Dynamics
1989The presentation reviews the basic principles supporting the derivation and analysis of vegetation indices from spectral data. The relationships between the normalized difference vegetation index and the vegetation characteristics is discussed, with emphasis upon dynamic processes important in biomass accumulation. Since time-series of vegetation index
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Spatial Analysis of Hyperspectral Vegetation Index
2009 Reno, Nevada, June 21 - June 24, 2009, 2009Advanced remote sensing technologies provide researchers an innovative way to collect spatial data in precision agriculture. Sensor information and spatial analysis together allow for a completely understanding of the spatial complexity of a field and its crop.
null Huihui Zhang +4 more
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Vegetation Index Estimation from Monospectral Images
2018This paper proposes a novel approach to estimate Normalized Difference Vegetation Index (NDVI) from just the red channel of a RGB image. The NDVI index is defined as the ratio of the difference of the red and infrared radiances over their sum. In other words, information from the red channel of a RGB image and the corresponding infrared spectral band ...
Patricia L. Suárez +2 more
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MODIS Vegetation Index Compositing Approach
Remote Sensing of Environment, 1999Wim J.D van Leeuwen +2 more
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A Sentinel-2 Vegetation Health Index
2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023Sandeep Kumar +4 more
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Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove
ISPRS Journal of Photogrammetry and Remote Sensing, 2022Gang Yang, Dehua Mao
exaly