• DocumentCode
    2241422
  • Title

    Monitoring and modeling land surface dynamics in Bermejo River Basin, Argentina: Time series analysis of MODIS and AMSR-E data

  • Author

    Barraza, V. ; Grings, F. ; Perna, P. ; Salvia, M. ; Carbajo, A.E. ; Ferrazzoli, P. ; Karszenbaum, H.

  • Author_Institution
    Inst. de Astron. y Fis. del Espacio (IAFE), Grupo de Teledeteccion Cuantitativa, UBA, Buenos Aires, Argentina
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6408
  • Lastpage
    6411
  • Abstract
    In this paper, we show that MODIS NDVI and AMSR-E microwave vegetation indexes (MVI) data can be used to monitor land surface phenology in the Bermejo River Basin. For this purpose, the statistical nature of the study area´s NDVI and MVI time series was analyzed. For NDVI, widely known time series models were tested and modified. NDVI temporal variation trends show functional forms that originate from the general annual performance of land surface phenology. Using these functional forms, a classification scheme is proposed. Furthermore, we also explored the possibility to use MVIs in order to improve the classification using assumptions about canopy structure that influence vegetation emissivity and opacity.
  • Keywords
    radiometry; remote sensing; rivers; vegetation; AMSR-E MVI data; AMSR-E data; Argentina; Bermejo river basin; MODIS NDVI data; MODIS data; MVI time series; NDVI temporal variation; NDVI time series; land surface dynamics; land surface phenology; microwave vegetation indexes; time series analysis; vegetation emissivity; vegetation opacity; Biological system modeling; Biomass; Indexes; Land surface; Market research; Time series analysis; Vegetation mapping; NDVI; land surface phenology; microwave vegetation indexes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352726
  • Filename
    6352726