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Documentation and evaluation of the CSE Noaa AVHRR data set

Bibliographic Data

ID9849710
AuthorsGorm Dybkjær (Danish Meteorological Institute, corresponding author), Thomas Theis Nielsen (0000-0002-8134-3456, Geocenter Denmark), Kjeld Rasmussen (0000-0003-3111-584X, Geocenter Denmark), Michael Schultz Rasmussen (0000-0002-7358-9421, Geocenter Denmark), Lars Boye Hansen (Geocenter Denmark), Assize Touré (Centre de Suivi Ecologique)
Year2003
Volume103
Issue1
Pages125-135
Publication date2003-01-01
Open AccessNo
TypeARTICLE
VenueGeografisk Tidsskrift-Danish Journal of Geography (JOURNAL)
Journal identifiersISSN: 0016-7223 • E-ISSN: 1903-2471
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00167223.2003.10649485
OpenAlexW2322995062
LanguageEN
Citations received1
References cited17

A NOAA AVHRR data set covering Senegal and parts of the surrounding countries during the period from 1987 to present is under construction and improvement in an ongoing collaboration between Centre de Suivi Écologique (CSE). Dakar. Senegal, and Institute of Geography, University of Copenhagen (IGUC). This paper details the entire processing chain from raw images to a properly calibrated, geometrically rectified and cloud-masked time-series tracking a number of well-defined variables. Two vital aspects of this time series, the cloud masking procedure and the geometrical rectification, are evaluated in detail. A two-step, multi-criteria cloud masking procedure requiring a manual input does not consistently improve the quality of the data set compared to the simpler, automated procedure. With respect to geometrical rectification an accuracy on the order of I km is obtained. Finally, suggestions for further improving the data set are forwarded

Cloud computing · Data mining · Data set · Documentation · Geography · Information retrieval · Masking (illustration · Meteorology · Programming language · Raw data · Rectification · Remote sensing · Series (stratigraphy · Set (abstract data type · Tracking (education · Advanced Image Fusion Techniques · Artificial Intelligence · Computer Science · Engineering · Geology · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture

  • The fire regime of Senegal and its determinants

    Thomas Theis Nielsen, Kjeld Rasmussen et al.•Geografisk Tidsskrift-Danish…•2003

  • A soil-adjusted vegetation index (Savi)

    Open Access•Alfredo Huete, A R Huete•Remote Sensing of Environment•1988

  • A modified soil adjusted vegetation index

    Open Access•Jiaguo Qi, Abdelghani Chehbouni et al.•Remote Sensing of Environment•1994

  • Using trend line and principal component analysis to study vegetation changes in Senegal 1986—1999 from AVHRR NDVI 8 km data

    Olga Rigina, Michael Schultz Rasmussen•Geografisk Tidsskrift-Danish…•2003

  • Estimating vegetative productivity gradients around watering points in the rangelands of Northern Senegal based on Noaa AVHRR data

    Morten Lind, Kjeld Rasmussen et al.•Geografisk Tidsskrift-Danish…•2003

  • Savanna Fires in East-Central Senegal

    Open Access•Cheikh Mbow, T T Nielsen et al.•Human Ecology•2000

Citations per year0.04
Citation span2003 - 2003 (1)
Highly citedNo

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