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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Detecting Himalayan glacial lake outburst floods from Landsat time series
TL;DR: In this paper, a Random Forest classifier was used to generate fuzzy land cover maps for 2491 images, achieving overall accuracies of 91% and a likelihood-based change point technique to estimate the timing of glacial lake outburst floods at the pixel scale.
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Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture
Mark Trotter,Mark Trotter,David Lamb,David Lamb,G. E. Donald,G. E. Donald,Derek Schneider,Derek Schneider +7 more
TL;DR: This study explores the application of an active, near infrared and red reflectance sensor to quantify and map pasture herbage mass using a range of derived spectral indices and found the Soil Adjusted Vegetation Index offered the best correlation with green dry matter.
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Original papers: Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing
TL;DR: Results show that it is possible to detect the stress caused by the two Aphid species and to discriminate between the two aphid-induced stresses in wheat using remote sensing.
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Evaluation of linear spectral unmixing and ΔNBR for predicting post-fire recovery in a North American ponderosa pine forest
TL;DR: In this paper, the authors presented a preliminary comparison of immediate post-fire char fraction, as measured by linear spectral unmixing, and ΔNBR, with two quantitative one-year post fire field measures indicative of canopy and sub-canopy conditions: % live tree and dry organic litter weight (gm-2).
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Estimation of surface chlorophyll‐a on an emersed mudflat using field spectrometry: accuracy of ratios and derivative‐based approaches
TL;DR: In this article, the accuracy of spectral indices and derivative-based approaches for quantifying chlorophyll on emersed intertidal sediments is explored, including derivative reflectance at individual wavelengths, the wavelength position of the red-edge inflection point (REIP), and the area under the derivative curve.