Potential of MERIS fAPAR for drought detection

European Space Agency, (Special Publication) ESA SP

Volumn , Issue 666 SP, 2008, Pages

  Rossi, Simone ^a   Weissteiner, Christof ^a   Laguardia, Giovanni ^a   Kurnik, Blaz ^a   Robustelli, Monica ^a   Niemeyer, Stefan ^a   Gobron, Nadine ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DROUGHT DETECTIONS; DROUGHT INDICES; ENHANCED PERFORMANCE; EUROPEAN SPACE AGENCIES; LEVEL 2; MEDIUM RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDICES; PHOTOSYNTHETICALLY ACTIVE RADIATIONS; STANDARDIZED PRECIPITATION INDICES; STUDY AREAS;

SOCIETIES AND INSTITUTIONS; TIME SERIES; VEGETATION;

DROUGHT;

EID: 77954564279     PISSN: 03796566     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. European Commission. (2007). Communication on Water Scarcity and Drought in Europe. COM(2007)414final. Luxembourg: Office for Official Publications of the European Communities.
2. Jamieson, P. D., Martin, R. J., Francis, G. S. & Wilson D. R. (1995). Drought effects on biomass production and radiation-use efficiency in barley. Field Crops Research 43 (2-3): 77-86.
3. Monteith, J.L. (1977). Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society B, 281: 277-294.
4. GCOS. (2007). Summary report of the ninth session of the GCOS/GTOS terrestrial observation panel for Climate. WMO/TD No.1371. Ispra, Italy, 28-29 March 2007.
5. Gobron N., Pinty B., Mélin F., Taberner M., Verstraete M.M., Belward A., Lavergne T. & Widlowski J.-L. (2005). The state vegetation in Europe following the 2003 drought. International Journal Remote Sensing Letters, 26 (9): 2013-2020.
6. Gobron, N., Pinty, B., Mélin, F., Taberner, M., Verstraete, M., Robustelli, M. & Widlowski, J. L. (2007). Evaluation of the MERIS/ENVISAT FAPAR product. Advances in Space Research, 39, 105-115.
7. Gobron, N., Pinty, B., Verstraete, M.M. & Govaerts, Y. (1999). The MERIS global vegetation index (MGVI): description and preliminary application. International Journal of Remote Sensing 20, 1917-1927.
8. Gobron N., Aussedat O., Pinty B., Taberner M. & 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 pp.
9. Verstraete, M.M. & Pinty, B. (1996) Designing optimal spectral indices for remote sensing applications. IEEE Transactions on Geoscience and Remote Sensing 34, 1254-1265.
10. Pinty B., Gobron N., Mélin F. & Verstraete M. M. (2002). Time Composite Algorithm Theoretical Basis Document. Institute for Environment and Sustainability, EUR Report No. 20150 EN, 8 pp.
11. Aussedat O., Gobron N., Pinty B. & Taberner M. (2006). MERIS Level 3 Land Surface Time Composite - Product File Description. Institute for Environment and Sustainability, EUR Report No. 22165 EN, 20 pp.
12. Gobron, N., Pinty, B., Verstraete, M.M & Widlowski, J.-L. (2000). Advanced spectral algorithm and new vegetation indices optimized for up-coming sensors: development, accuracy and applications. IEEE Transactions on Geoscience and Remote Sensing 38: 2489-2505.
13. Gobron N., Pinty B., Mélin F., Taberner M. & Verstraete M. M. (2002). Sea Wide Field-of-View Sensor (SeaWiFS) - Level 2 Land Surface Products - Algorithm Theoretical Basis Document. Institute for Environment and Sustainability, EUR Report No. 20144 EN, 23 pp.
14. Gobron N., Aussedat O. & Pinty B. (2006). Moderate Resolution Imaging Spectroradiometer (MODIS) - JRC-FAPAR Algorithm Theoretical Basis Document. Institute for Environment and Sustainability, EUR Report No. 22164 EN, 21 pp.
15. Tsakiris, G. & Vangelis, H. (2004). Towards a Drought Watch System based on Spatial SPI. Water Resources Management 18 (1): 1-12.
16. th Conf. on Applied Climatology, January 17-22, 1993, American Meteorological Society, Boston, pp. 179-184.
17. th Conf. on Applied Climatology, January 15-20, 1995, American Meteorological Society, Boston, pp. 233-236.
18. Edwards, D. C. & McKee, T. B. (1997). Characteristics of 20th Century drought in the United States at multiple time scales. Climatology Report Number 97-2, Colorado State University, Fort Collins, Colorado.
19. McVicar T.R. & Jupp D.L.B. (1998). The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: a review. Agricultural Systems 57(3): 399-468.
20. De Roo, A.P.J., Wesseling, C.G. & Van Deursen, W.P.A. (2000). Physically based river basin modelling within a GIS: the LISFLOOD model. Hydrological Processes 14: 1981-1992.
21. Van der Knijff, J. & De Roo, A.P.J. (2007). LISFLOOD Distributed Water Balance and Flood Simulation Model User Manual. Institute for Environment and Sustainability, EUR Report No. EUR 22166, 120 pp.
22. Wagner, W., Lemoine, G. & Rott H. (1999). A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data. Remote Sensing of Environment 70: 191-207.
23. Ji, L. & Peters, A.J. (2003). Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment 87: 85-98.
24. Song X., Saito G., Kodama M. & Sawada H. (2004). Early detection system of drought in East Asia using NDVI from NOAA/AVHRR data. International Journal of Remote Sensing 25 (16): 3105-3111.
25. Gobron, G., Pinty, B., Verstraete, M.M. & Govaerts, Y. (1999). The MERIS Global Vegetation Index (MGVI): description and preliminary application. International Journal of Remote Sensing 20 (9): 1917-1927.
26. Ramos, A.M., Trigo, R.M., Valente, M.A., Santo, F.E. & Santos, F.D. 2008. Extreme temperature events in Portugal: recent trends and future scenarios. EGU General Assembly 2008. Geophysical Research Abstracts, Vol. 10.
27. Brown J.F., Wardlow, B.D., Tadesse, T., Hayes, M.J. & Reed, B.C. (2008). The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation. GIScience & Remote Sensing 45(1): 16-46.