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Monitoring Vegetation Systems in the Great Plains with Erts

J. W. Rouse, +3 more
- Vol. 351, pp 309
TLDR
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.
Abstract
The Great Plains Corridor rangeland project utilizes natural vegetation systems as phenological indicators of seasonal development and climatic effects upon regional growth conditions. A method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 MSS data. Radiance values recorded in ERTS-1 spectral bands 5 and 7, corrected for sun angle, are used to compute a band ratio parameter which is shown to be correlated with aboveground green biomass on rangelands.

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Citations
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Journal ArticleDOI

Significant remote sensing vegetation indices: A review of developments and applications

TL;DR: 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.
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A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap

TL;DR: In an extension of previous simulation studies, a transformation of actual TM data in the six reflective bands is described which achieves three objectives: a fundamental view of TM data structures is presented, the vast majority of data variability is concentrated in a few features, and the defined features can be directly associated with physical scene characteristics.
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Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics

TL;DR: In this article, three types of hyperspectral predictors were tested: optimum multiple narrow band reflectance (OMNBR), narrow band normalized difference vegetation index (NDVI), and the soil-adjusted vegetation indices.
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The interpretation of spectral vegetation indexes

TL;DR: In this article, the spectral derivative of surface reflectance with respect to wavelength is used as a measure of chlorophyll abundance and energy absorption in the leaves of a broadband and near-infrared vegetation index.
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Seasonality extraction by function fitting to time-series of satellite sensor data

TL;DR: The proposed method is implemented in a computer program TIMESAT and tested on Advanced Very High Resolution Radiometer (AVHRR) normalized difference vegetation index (NDVI) data over Africa.
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