User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Categorization of land-cover change processes based on phenological indicators extracted from time series of vegetation index data

  1. Bartholomé E., Belward A. S., GLC2000: a new approach to global land cover mapping from Earth observation data, 10.1080/01431160412331291297
  2. Behrenfeld M. J., Biospheric Primary Production During an ENSO Transition, 10.1126/science.1055071
  3. Groten S. M. E., Ocatre R., Monitoring the length of the growing season with NOAA, 10.1080/01431160110070843
  4. Huete A, Didan K, Miura T, Rodriguez E.P, Gao X, Ferreira L.G, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, 10.1016/s0034-4257(02)00096-2
  5. Jonsson P., Eklundh L., Seasonality extraction by function fitting to time-series of satellite sensor data, 10.1109/tgrs.2002.802519
  6. JUSTICE C. O., TOWNSHEND J. R. G., HOLBEN B. N., TUCKER C. J., Analysis of the phenology of global vegetation using meteorological satellite data, 10.1080/01431168508948281
  7. JUSTICE C. O., HOLBEN B. N., GWYNNE M. D., Monitoring East African vegetation using AVHRR data, 10.1080/01431168608948948
  8. Kaduk J, Heimann M, A prognostic phenology scheme for global terrestrial carbon cycle models, 10.3354/cr006001
  9. Kawabata A., International Journal of Remote Sensing, 22, 1377 (2001)
  10. Lambin Eric F., Ehrlich Daniele, Land-cover changes in sub-saharan Africa (1982–1991): Application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale, 10.1016/s0034-4257(97)00001-1
  11. Lambin Eric F., Strahlers Alan H., Change-vector analysis in multitemporal space: A tool to detect and categorize land-cover change processes using high temporal-resolution satellite data, 10.1016/0034-4257(94)90144-9
  12. Lieth H., Phenology in Seasonal Climates I., 12, 1 (1998)
  13. LLOYD DANIEL, A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery, 10.1080/01431169008955174
  14. Lupo F., International Journal of Remote Sensing, 22, 2633 (2001)
  15. Markon, C. J. 2001. “Seven‐year phenological record of Alaskan ecoregions derived from AVHRR NDVI Data.”. US Geological Survey Open‐File Report 01–11
  16. Markon Carl J., Fleming Michael D., Binnian Emily F., Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time-series data, 10.1017/s0032247400013681
  17. Mayaux Philippe, Bartholomé Etienne, Fritz Steffen, Belward Alan, A new land-cover map of Africa for the year 2000 : New land-cover map of Africa, 10.1111/j.1365-2699.2004.01073.x
  18. Moody Aaron, Johnson David M, Land-Surface Phenologies from AVHRR Using the Discrete Fourier Transform, 10.1016/s0034-4257(00)00175-9
  19. Moulin S., Kergoat L., Viovy N., Dedieu G., Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements, 10.1175/1520-0442(1997)010<1154:gsaovp>2.0.co;2
  20. Myneni R. B., Keeling C. D., Tucker C. J., Asrar G., Nemani R. R., Increased plant growth in the northern high latitudes from 1981 to 1991, 10.1038/386698a0
  21. Potter C. S., Brooks V., Global analysis of empirical relations between annual climate and seasonality of NDVI, 10.1080/014311698214352
  22. Reed Bradley C., Brown Jesslyn F., VanderZee Darrel, Loveland Thomas R., Merchant James W., Ohlen Donald O., Measuring phenological variability from satellite imagery, 10.2307/3235884
  23. Roerink G.J., Menenti M., Soepboer W., Su Z., Assessment of climate impact on vegetation dynamics by using remote sensing, 10.1016/s1474-7065(03)00011-1
  24. Rudolf, B., Fuchs, T., Schneider, U. and Meyer‐Christoffer, A. 2003.Introduction of the Global Precipitation Climatology Centre (GPCC), Deutscher Wetterdienst, Offenbach a.M.16 Available on request by email from gpcc@dwd.de
  25. Running S. W., Ambio, 23, 77 (1994)
  26. Schaaf Crystal B, Gao Feng, Strahler Alan H, Lucht Wolfgang, Li Xiaowen, Tsang Trevor, Strugnell Nicholas C, Zhang Xiaoyang, Jin Yufang, Muller Jan-Peter, Lewis Philip, Barnsley Michael, Hobson Paul, Disney Mathias, Roberts Gareth, Dunderdale Michael, Doll Christopher, d'Entremont Robert P, Hu Baoxin, Liang Shunlin, Privette Jeffrey L, Roy David, First operational BRDF, albedo nadir reflectance products from MODIS, 10.1016/s0034-4257(02)00091-3
  27. Stone T. A., Photogrammetric Engineering and Remote Sensing, 60, 541 (1994)
  28. Tateishi R., Ebata M., Analysis of phenological change patterns using 1982–2000 Advanced Very High Resolution Radiometer (AVHRR) data, 10.1080/01431160310001618455
  29. Tobias R. D., An Introduction to Partial Least Squares Regression (1997)
  30. Vermote E.F., Tanre D., Deuze J.L., Herman M., Morcette J.-J., Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview, 10.1109/36.581987
  31. White F., The Vegetation of Africa (Memoir to Accompany UNESCO Vegetation Map of Africa). Natural Resource Research (1983)
  32. White Michael A., Thornton Peter E., Running Steven W., A continental phenology model for monitoring vegetation responses to interannual climatic variability, 10.1029/97gb00330
  33. Wolfe Robert E., Nishihama Masahiro, Fleig Albert J., Kuyper James A., Roy David P., Storey James C., Patt Fred S., Achieving sub-pixel geolocation accuracy in support of MODIS land science, 10.1016/s0034-4257(02)00085-8
  34. Zhang Xiaoyang, Friedl Mark A., Schaaf Crystal B., Strahler Alan H., Hodges John C.F., Gao Feng, Reed Bradley C., Huete Alfredo, Monitoring vegetation phenology using MODIS, 10.1016/s0034-4257(02)00135-9
  35. Zhang X., Journal of Geophysical Research, 110 (2005)
Bibliographic reference Lupo, F. ; Linderman, M. ; Vanacker, Veerle ; Bartholome, E. ; Lambin, Eric. Categorization of land-cover change processes based on phenological indicators extracted from time series of vegetation index data. In: International Journal of Remote Sensing, Vol. 28, no. 11, p. 2469-2483 (2007)
Permanent URL http://hdl.handle.net/2078.1/37545