Open Access
Monitoring Vegetation Systems in the Great Plains with Erts
J. W. Rouse,R. H. Haas,J. A. Schell,D. W. Deering +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.read more
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Complex relationships between greenness, air pollution, and mortality in a population-based Canadian cohort.
Dan L. Crouse,Lauren Pinault,Adele Balram,Michael Brauer,Richard T. Burnett,Randall V. Martin,Aaron van Donkelaar,Paul J. Villeneuve,Scott Weichenthal +8 more
TL;DR: The role of residential greenness in modifying associations between long-term exposures to PM2.5 and non-accidental and cardiovascular mortality in a national cohort of non-immigrant Canadian adults is investigated and it is found that residents in deprived neighbourhoods with high greenness benefitted by having more attenuated associations between PM2-5 and mortality than those living in deprived areas with less greenness.
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Estimation of leaf area index using ground-based remote sensed NDVI measurements: validation and comparison with two indirect techniques
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Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed.
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Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data
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