Red and photographic infrared linear combinations for monitoring vegetation
TLDR
In this article, the relationship between various linear combinations of red and photographic infrared radiances and vegetation parameters is investigated, showing that red-IR combinations to be more significant than green-red combinations.About:
This article is published in Remote Sensing of Environment.The article was published on 1979-05-01 and is currently open access. It has received 8537 citations till now. The article focuses on the topics: Enhanced vegetation index & Red edge.read more
Citations
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
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A soil-adjusted vegetation index (SAVI)
TL;DR: In this article, a transformation technique was presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths, which nearly eliminated soil-induced variations in vegetation indices.
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Review Article Digital change detection techniques using remotely-sensed data
TL;DR: An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
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On the relation between NDVI, fractional vegetation cover, and leaf area index
TL;DR: In this paper, a simple radiative transfer model with vegetation, soil, and atmospheric components is used to illustrate how the normalized difference vegetation index (NDVI), leaf area index (LAI), and fractional vegetation cover are dependent.
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An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data
Compton J. Tucker,Jorge E. Pinzon,Molly E. Brown,Daniel Slayback,Edwin W. Pak,Robert Mahoney,Eric Vermote,Nazmi Saleous +7 more
TL;DR: In this article, the NDVI 8-km equal area dataset from July 1981 through December 2004 for all continents except Antarctica was used to produce a Normalized Difference Vegetation Index (NDVI) 8.
References
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Monitoring Vegetation Systems in the Great Plains with Erts
TL;DR: In this paper, a method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 spectral bands 5 and 7, corrected for sun angle, which is shown to be correlated with aboveground green biomass on rangelands.
Monitoring vegetation systems in the great plains with ERTS
TL;DR: In this article, a method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 spectral bands 5 and 7, corrected for sun angle, which is shown to be correlated with aboveground green biomass on rangelands.
Journal ArticleDOI
Derivation of leaf-area index from quality of light on the forest floor
TL;DR: The Leaf—area index of a forest can be measured by determining the ratio of light at 800 μm to that at 675 μm on the forest floor, based on the principle that leaves absorb relatively more red than infrared light.
The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat
R. J. Kauth,G. S. Thomas +1 more
TL;DR: In this article, the time trajectories of agricultural data points as seen in Landsat signal space form a pattern suggestive of a tasselled woolly cap, which is used to estimate and correct atmospheric haze and moisture effects.
Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. [Great Plains Corridor]
TL;DR: In this paper, a resource and land use classification system was developed which uses available soil survey information and interpretations from NASA obtained high flight aerial photography to locate discrete areas of similar rangeland vegetation.