articleTop 10% cited
The Best Index Slope Extraction ( BISE): A method for reducing noise in NDVI time-series
International Journal of Remote Sensing · 1992 · Vol. 13(8) · pp. 1585–1590
Nicolas Viovy✉(Centre National d'Études Spatiales)Olivier Arinò(Centre National d'Études Spatiales)Alan Belward(Joint Research Centre)
Abstract
Abstract The Best Index Slope Extraction (BISE) is proposed as an alternative to the Maximum Value Composite (MVC) as a way of reducing noise in Normalized Difference Vegetation Index (NDVI) time-series from Advanced Very High Resolution Radiometer (AVHRR) data. The BISE method retains more valuable elements of an NDVI profile than the MVC. NDVI profiles prepared using the BISE method show strong differences in the development characteristics of various West African vegetation types.
Remote Sensing in AgricultureSpecies Distribution and Climate ChangeLeaf Properties and Growth MeasurementNormalized Difference Vegetation IndexRemote sensingAdvanced very-high-resolution radiometerExtraction (chemistry)Vegetation (pathology)Environmental scienceSeries (stratigraphy)Enhanced vegetation indexVegetation IndexIndex (typography)
Funding
- Joint Research Centre
Citations
514
FWCI
5.47
field-weighted impact
References
14
Percentile
96%
vs. same field & year
Citations per year
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References
Characteristics of maximum-value composite images from temporal AVHRR data
International Journal of Remote Sensing · 1986 · 2,991 citations
Remote sensing of weather impacts on vegetation in non-homogeneous areas
International Journal of Remote Sensing · 1990 · 779 citations
International Journal of Remote Sensing
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