Title: Remotely-sensed green area index for winter wheat crop monitoring: 10-year assessment at regional scale over a fragmented landscape
Authors: DUVEILLER BOGDAN GRÉGORY HENRY EDEFOURNY PierreBARET Frederic
Citation: AGRICULTURAL AND FOREST METEOROLOGY vol. 166-167 p. 156-168
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2012
JRC N°: JRC67326
ISSN: 0168-1923
URI: http://www.sciencedirect.com/science/article/pii/S0168192312002481
http://publications.jrc.ec.europa.eu/repository/handle/JRC67326
DOI: http://dx.doi.org/10.1016/j.agrformet.2012.07.014
Type: Articles in Journals
Abstract: Despite remarkable technological advances in earth observation systems and radiative transfer modelling, enabling the retrieval of canopy biophysical variables from satellite imagery, the use of remote sensing for operational crop monitoring at a regional or global scale has remained more qualitative than quantitative. Perhaps the main reason lies in the fact the imagery that can be used operationally and economically over large areas with high temporal frequency have coarse spatial resolution. However, recent research has demonstrated that coherent crop specific biophysical variables such as green area index (GAI) can be retrieved from medium spatial resolution imagery such as MODIS even when the size of the fields is close to the size of the pixels (close to 250~m). Leveraging on these results, the present paper attempts to go beyond by retrieving GAI from a more fragmented landscape, over a much larger geographical area and covering a 10-year period. Results demonstrate the possibility to monitor the dynamic processes of growth and senescence of winter wheat and grasp the inter-annual seasonal variability of growing conditions encountered over a decade. Furthermore, the satellite-derived GAI is not only consistent with ground measurements at regional scale (RMSE=0.65), but even shows encouraging results at field level (RMSE=0.82 when pixel/field spatial adequacy is high). By showing the possibility of monitoring crop specific growth quantitatively over a complicated landscape, the only step necessary before implementing such approach in a real operational situation remains identifying early in the season where the target crop is.
JRC Institute:Institute for Environment and Sustainability

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