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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Journal ArticleDOI
Influence of fire severity on plant regeneration by means of remote sensing imagery
TL;DR: In this article, a field fire severity map was constructed over a large fire (2692 ha) occurring in July 1994 in the Barcelona province (north-east of Spain) and seven severity classes were assigned to the apparent plant damage as a function of burning intensity.
Journal ArticleDOI
The Derivation of a Simplified Reflectance Model for the Estimation of Leaf Area Index
TL;DR: In this paper, a corrected infrared reflectance is calculated by subtracting the contribution of the soil from the measured reflectance, based on the assumption that there is a constant ratio between the reflectances of bare soil in different spectral bands for a given soil background, independent of soil moisture content.
Proceedings ArticleDOI
UAV-based crop and weed classification for smart farming
TL;DR: This paper proposes a system that performs vegetation detection, plant-tailored feature extraction, and classification to obtain an estimate of the distribution of crops and weeds in the field to address the problem of detecting value crops such as sugar beets and typical weeds using a camera installed on a light-weight UAV.
Journal ArticleDOI
A simple and effective radiometric correction method to improve landscape change detection across sensors and across time
TL;DR: In this paper, the temporally invariant cluster (TIC) method was proposed to detect landscape change using multi-temporal images, which is a variation of the pseudo-invariant feature (PIF) normalization scheme.
Journal ArticleDOI
Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery
Stephen Klosterman,Koen Hufkens,Koen Hufkens,Josh M. Gray,Eli K. Melaas,Oliver Sonnentag,Oliver Sonnentag,I. Lavine,L. Mitchell,R. Norman,Mark A. Friedl,Andrew D. Richardson +11 more
TL;DR: In this paper, a generalized sigmoid function was used to estimate phenophase transition dates from high-frequency phenoCam imagery. But the results showed that the sigmoids provided estimates of dates with less statistical uncertainty than other curve-fitting methods.