Mapping agricultural drought hazard

Aussedat O., Taberner M., Gobron N., and Pinty B. (2007). MERIS Level 3 Land Surface Aggregated Products Description. Institute for Environment and Sustainability, EUR Report No. 22643 EN, 16pp. Gobron, N., Pinty, B., Verstraete, M.M., and Widlowski, J.-L. (2000). Advanced Vegetation Indices Optimized for Up-Coming Sensors: Design, Performance and Applications. IEEE Transactions on Geoscience and Remote Sensing, 38: 2489-2505. Gobron N., Pinty B., Mélin F., Taberner M., and Verstraete M. M. (2002). Sea Wide Field-ofView Sensor (SeaWiFS) - Level 2 Land Surface Products - Algorithm Theoretical Basis Document. Institute for Environment and Sustainability, EUR Report No. 20144 EN, 23 p. Gobron N., Aussedat O., Pinty B., Taberner M., and Verstraete M. M. (2004). Medium Resolution Imaging Spectrometer (MERIS) - An optimized FAPAR Algorithm - Theoretical Basis Document. Revision 3.0. Institute for Environment and Sustainability, EUR Report No. 21386 EN, 20 p. http://fapar.jrc.ec.europa.eu/WWW/Data/Pages/FAPAR_Home/FAPAR_ Home_Publications/atbd_meris_v4_gen.pdf Gobron N., Pinty B., Mélin F., Taberner M., Verstraete M.M., Belward A., Lavergne T., and Widlowski J.-L. (2005). The state vegetation in Europe following the 2003 drought. International Journal Remote Sensing Letters, 26 (9): 2013-2020. Gobron, N., Aussedat, O., Pinty, B., Robustelli, M., Taberner, M., Lavergne, T. (2006a). Technical Assistance for the Validation the ENVISAT MGVI Geophysical Product. Final Report. EUR Report 22246 EN, European Commission - DG Joint Research Centre, Institute for Environment and Sustainability, 103pp.Gobron, N., Pinty, B., Aussedat, O., Chen, J. M., Cohen, W. B., Fensholt, R., Gond, V.,

Lavergne, T., Mélin, F., Privette, J. L., Sandholt, I., Taberner, M., Turner, D. P., Verstraete,

M. M., Widlowski, J.-L. (2006b). Evaluation of Fraction of Absorbed Photosynthetically

Active Radiation Products for Different Canopy Radiation Transfer Regimes: Methodology

and Results Using Joint Research Center Products Derived from SeaWiFS Against GroundBased

Estimations. Journal of Geophysical Research – Atmospheres, 111(13), D13110.

Gobron, N., Pinty, B., Mélin, F., Taberner, M., Verstraete, M.M., Robustelli, M., Widlowski,

J.-L. (2007). Evaluation of the MERIS/ENVISAT fAPAR Product. Advances in Space Research

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Pinty B., Gobron N., Mélin F., and Verstraete M.M. (2002). Time Composite Algorithm

Theoretical Basis Document. Institute for Environment and Sustainability, EUR Report No.

20150 EN, 8 pp. http://fapar.jrc.ec.europa.eu/WWW/Data/Pages/FAPAR_Home/FAPAR_

Home_Publications/pinty_etal_ies_2002.pdf

Rossi, S., Weissteiner, C., Laguardia, G., Kurnik, B., Robustelli, M., Niemeyer, S., and Gobron,

N. 2008. “Potential of MERIS fAPAR for drought detection”, in Lacoste, H., and Ouwehand,

L. (eds.), Proceedings of the 2nd MERIS/(A)ATSR User Workshop, 22–26 September 2008,

Frascati Italy (ESA SP-666), ESA Communication Production Office, November 2008.

http://envisat.esa.int/pub/ESA_DOC/meris_workshop_2008/papers%20/p63_rossi.pdf

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eng

Europe

Europe

Mapping agricultural drought hazard

Data requirements to use: None;

Data used: The MERIS Global Vegetation Index (MGVI) is a remote sensing derived index estimating fAPAR at canopy level. Till 2011, the index was derived from ENVISAT-MERIS images. From 2012, the fAPAR estimations are the result of applying the MGVI algorithm to SPOT-VEGETATION images;

Data format: N/A;

Data access: website;

Concise description:

fAPAR is difficult to measure directly but can be inferred from models describing the transfer of solar radiation in plant canopies, using Earth Observation information as input data. fAPAR estimates are retrieved using EO information by numerically inverting physically-based models. The fAPAR estimates used within the DESERT Action were operationally produced by the European Space Agency (ESA) till 2011. They were derived from the multispectral images acquired by the Medium Resolution Imaging Spectrometer (MERIS) onboard ENVISAT by means of the MERIS Global Vegetation Index (MGVI) algorithm, developed at the JRC (Gobron et al. 2004). From 2012, fAPAR images used are the result of applying the same algorithm to the images acquired by the VEGETATION sensor onboard SPOT. These images are produced by the Flemish institute for technological research (VITO). MGVI is a physically based index which transforms the calibrated multispectral directional reflectance into a single numerical value while minimizing possible disturbing factors. It is constrained by means of an optimization procedure to provide an estimate of the fAPAR of a plant canopy. The objective of the algorithm is to reach the maximum sensitivity to the presence and changes in healthy live green vegetation while at the same time minimizing the sensitivity to atmospheric scattering and absorption effects, to soil color and brightness effects, and to temporal and spatial variations in the geometry of illumination and observation. The MGVI level-3 aggregation processor has been developed and is maintained by the European Commission Joint Research Centre (JRC). More information on the algorithm can be found in Pinty B. et al. (2002) and Gobron N. et al. (2004).

eng

European Drought Observatory -Fraction of absorbed photosynthetically active radiation (fAPAR)

ISO 19115:2003/19139

1.0

http://edo.jrc.ec.europa.eu/edov2/php/index.php?id=1111