• DocumentCode
    2236516
  • Title

    MCM´10: An experiment for satellite multi-sensors crop monitoring from high to low resolution observations

  • Author

    Baup, F. ; Fieuzal, Remy ; Marais-Sicre, C. ; Dejoux, Jean-Francois ; le Dantec, V. ; Mordelet, P. ; Claverie, M. ; Hagolle, Olivier ; Lopes, Ana ; Keravec, P. ; Ceschia, E. ; Mialon, Arnaud ; Kidd, Robert

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4849
  • Lastpage
    4852
  • Abstract
    The MCM´10 experiment (Multi-sensors Crop Monitoring, 2010) aims to evaluate the potentialities of optical, microwave and thermal satellite images for monitoring agricultural surfaces. The Experiment is conducted during ten month in 2010, from February to November over a super-site located in the South West of France. Remote sensing data (>;150 images) are provided by nine low orbit satellites, from high to low spatial resolutions (several meters to 50km). Ground data are collected over winter and summer crops, quasi synchronously with satellite images. More than 30 000 measurements are collected over 387 agricultural fields. They concern soil and vegetation parameters (moisture, roughness, height, biomass...). Results show great complementarities of multi-sensors and multiwavelength data for monitoring agricultural landscape. The ground data collection highlights the importance of field-scale approaches, linked to the strong heterogeneity in space and time of surface parameters (soil properties, vegetation type, farmers´ practices...).
  • Keywords
    geophysical techniques; remote sensing; soil; vegetation; France; MCM 10 experiment; agricultural fields; agricultural landscape monitoring; agricultural surface monitoring; high-to-low resolution observations; microwave satellite image; optical satellite image; remote sensing data; satellite multisensors crop monitoring; soil parameter; thermal satellite image; vegetation parameter; Agriculture; Monitoring; Remote sensing; Satellites; Soil measurements; Soil moisture; Experiment; SAR; crops biomass; multi-sensors; optical; roughness; soil moisture; thermal;
  • 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.2012.6352527
  • Filename
    6352527