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Characteristics of maximum-value composite images from temporal AVHRR data

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HOLBEN, BRENT N.·1986·International Journal of Remote Sensing

Abstract

Red and near-infrared satellite data from the Advanced Very High Resolution Radiometer sensor have been processed over several days and combined to produce spatially continuous cloud-free imagery over large areas with sufficient temporal resolution to study green-vegetation dynamics. The technique minimizes cloud contamination, reduces directional reflectance and off-nadir viewing effects, minimizes sun-angle and shadow effects, and minimizes aerosol and water-vapour effects. The improvement is highly dependent on the state of the atmosphere, surface-cover type, and the viewing and illumination geometry of the sun, target and sensor. An example from southern Africa showed an increase of 40 per cent from individual image values to the final composite image. Limitations' associated with the technique are discussed, and recommendations are given to improve this approach

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Metadata

Authors
HOLBEN, B. N.
Venue
International Journal of Remote Sensing
Published
1986-11
Volume
7
Issue
11
Pages
1417-1434
ISSN
  • 0143-1161 (ISSN-L)
  • 1366-5901
OpenAlex
W1974047452
Cited by
3,002
References
0
FWCI
26.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Characteristics of maximum-value composite images from temporal AVHRR data. https://app.cochat.ai/papers/10.1080/01431168608948945
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HOLBEN, B. N. (1986). Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing. https://doi.org/10.1080/01431168608948945

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.