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Olga Rigina

Biographic Data

ID5776605
NAMEOlga Rigina
GIVEN NAMESOlga
FAMILY NAMERigina
SIGNATURERIGINA O
AFFILIATIONSGeocenter Denmark
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2003
H-INDEX1
  • 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•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 13

    The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…

  • Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets

    Olga Rigina, Michael Schultz Rasmussen•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 27

    Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…

  • 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•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 13

    The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…

  • Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets

    Olga Rigina, Michael Schultz Rasmussen•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 27

    Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…

  • 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•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 13

    The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…

  • Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets

    Olga Rigina, Michael Schultz Rasmussen•ARTICLE•Geografisk Tidsskrift-Danish…•2003•Cited by: 1•References: 27

    Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…

Climate change (2 works) · Climatology (2 works) · Environmental Science (2 works) · Geography (2 works) · Geology (2 works) · Geology (2 works) · Mathematics (2 works) · Normalized Difference Vegetation Index (2 works) · Remote sensing (2 works) · Remote Sensing and Land Use (2 works)

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