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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Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery
TL;DR: Encouraging results are demonstrated in forest AGB mapping of the normal vegetated area using the freely accessible and high-resolution Sentinel imagery, based on ML techniques.
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Forest cover assessment in north-east India--the potential of temporal wide swath satellite sensor data (IRS-1C WiFS)
TL;DR: In this article, the authors proposed a methodology to monitor forest cover using IRS-1C Wide Field Sensor (WiFS) data, which avoids illumination differences and has a better temporal resolution.
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Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms
Alejandro Sánchez de Miguel,Christopher C. M. Kyba,Martin Aubé,Jaime Zamorano,Nicolás Cardiel,Carlos Tapia,Jon Bennie,Kevin J. Gaston +7 more
TL;DR: In this article, a theoretical approach using colour-colour diagrams was proposed to analyze images taken by astronauts on the ISS to estimate spatial and temporal variation in the spectrum of artificial lighting emissions and evaluate how this information can be used to determine effects on some key environmental indices: photopic vision, the Melatonin suppression index, the Star Light Index, the Induced Photosynthesis Index, production of NO2-NO radicals, energy efficiency and CO2 emissions, and Correlated Colour Temperature.
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Spectral considerations for modeling yield of canola
John Sulik,Dan S. Long +1 more
TL;DR: In this article, a small-plot experiment was conducted near Adams, Oregon in which spring canola was grown under varying water regimes and nitrogen treatments to create a wide range in oilseed yield.
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Estimation of foliar chlorophyll and nitrogen content in an ombrotrophic bog from hyperspectral data: Scaling from leaf to image
TL;DR: The relationship between spectral reflectance and foliar chlorophyll (Chl) and nitrogen (N) was examined for 19 species over a six-month growing period at Mer Bleue, an ombrotrophic bog located near Ottawa, Ontario, Canada as mentioned in this paper.