Potential and limits of noaa-avhrr temporal composite data for phenology and water stress monitoring of temperate forest ecosystems

International Journal of Remote Sensing

Volumn 20, Issue 5, 1999, Pages 895-917

  Duchemin, B ^a   Guyon, D ^a   Lagouarde, J P ^a  

^a CEMAGREF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ECOSYSTEMS; LAND USE; RADIOMETERS; VEGETATION;

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI); WATER STRESS MONITORING;

REMOTE SENSING;

AVHRR; FOREST ECOSYSTEM; NOAA SATELLITE; PHENOLOGY; TEMPERATE FOREST; WATER STRESS;

EID: 0033586362     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311699212984     Document Type: Article

References (36)

1. Baret, F., Jacquemoud, S., Guyot, G., and Leprieur, C., 1991, De la nature des glissements spectraux: modélisation et comparaison a l’information contenues dans les bandes larges. In Proceeding of the Fifth International Symposium on Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 14-18 January 1991, edited by ESA, SP-319, May, pp. 121-129.
2. Barteunk, H. H., 1997, Allometric relationships for biomass and leaf area of beech (Fagus sylvatica L). Annales des Sciences Foresti'eres 53, 39-50.
3. Brutsaert, W., H su, A. Y., and Schmugge, T. J., 1993, Parameterization of surface heat fluxes above forest with satellite thermal sensing and boundary layer soundings. Journal of Applied Meteorology, 32, 909-917.
4. Brunet, Y., Nunez, M., and Lagouarde, J. P., 1991, A simple method for estimating regional evapotranspiration from infrared surface temperature data. ISPRS Journal of Photogrammetry and Remote Sensing, 46, 311-327.
5. C Anson, T. N., C apehart, W. J., and G nues, R. R., 1995, A new look at the simplified method for remote sensing of daily Evapotranspiration. Remote Sensing of Environment, 54, 161-167.
6. Comps, B., Letouzey, J., and Savoie, J. M., 1987, Phenologie du couvert arborescent dans une chenaie-hetraie d’Aquitaine. Annales des Sciences Foresti'eres, 44, 153-170.
7. Granier, A., and Breda, N., 1996, Modelling canopy conductance and stand transpiration of an oak forest from sap flow measurements. Annales des Sciences Foresti'eres, 53, 537-546.
8. Gutman, G. G., 1991, Vegetation indices from AVHRR: An update and future prospects. Remote Sensing of Environment, 35, 121-136.
9. Guyot, G., and Gu, X-F., 1994, EVect of Radiometric Correction on NDVI-determined from SPOT-HRV and Landsat-TM data. Remote Sensing of Environment, 49, 169-180.
10. HagoLLe, O., 1991, Chaîne de traitement CNES des images AVHRR-NOAA. Campagnes 1988-1989-1990. Manuel de l’utilisateur. Rapport interne CNES. 9 janvier 1991, note n° 006, Edition 1, Révision 0, AP/PO/QTIS/PS.
11. HoLben, B. N., 1986, Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, 1417-1434.
12. Hunter, A. F., and Lechowicz, M. J., 1992, Predicting the timing of budburst in temperate trees. Journal of Applied Ecology, 29, 597-604.
13. Jackson, R. D., 1982, Canopy temperature and crop water stress. Advances in Irrigation, 1, 43-85.
14. Jarvis, P. G., and Leverenz, J. W., 1984, Productivity of temperate, deciduous and evergreen forest. In Physiology Plant Ecology IV, edited by O. L. Lange, P. S. Nobel
15. C. B. Osmond, and H. Zeigler (New York: Springer-Verlag), pp. 223-280.
16. Jolly, A., Guyon, D., and Riom, J., 1996, Utilisation des donne'es du moyen infrarouge de Landsat Thematic Mapper pour la mise en evidence des coupes rases sur le massif Landais. International Journal of Remote Sensing, 17, 3615-3645.
17. Kerr Y. H., Lagouarde J. P., and Imbernon, J., 1992, Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm. Remote Sensing of Environment, 41, 197-209.
18. K ramer, K., 1994, Selecting a model to predict the onset of growth of Fagus sylvatica. Journal of Applied Ecology, 31, 172-181.
19. Lagouarde, J. P., Brunet, Y., and Andre, R. G. B., 1994, A simple PBL approach for estimating actual evapotranspiration from TIR data over a Pine forest canopy. Proceedings of the Workshop Thermal Remote Sensing of the Energy and Water Balance over Vegetation in Conjunction with Other Sensors, la Londe les Maures, France, 20-23 September 1993, pp. 265-269.
20. Lagouarde, J. P., and OLioso, A., 1995, Interest of Mid-Morning acquisition of surface temperature for deriving surface fluxes. Remote Sensing of Environment, 12, 287-309.
21. Lemoine, B., 1969, Le pin maritime dans les landes de Gascogne—Etude des relations d’allome'trie concernant le volume des peuplements, en liaison avec certaines caractéristiques de la station. Annales des Sciences Forestieres, 26, 445-473.
22. Lemoine, B., 1981, Application de l’analyse factorielle á l’étude de la croissance en hauteur des arbres: exemple du pin maritime. Annales des Sciences Forestieres, 38, 31-54.
23. M auge, J. P., 1987, Conduite des peuplements, in Le pin maritime, premier resineux de France. Edited by Institut pour le Developpement Forestier (Paris, France), pp. 135-164.
24. Moran, M. S., CLarke, T. R., Inoue, Y., and Vidal, A., 1994, Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 49, 246-263.
25. Nemani, R. R., and Running, S. W., 1989, Estimation of Regional Surface Resistance to evapotranspiration from NDVI and Thermal-IR AVHRR data. Journal of Applied Meteorology, 28, 274-284.
26. Peterson, U, 1992, Seasonnal reflectance factors dynamic in clear-cut communities International Journal of Remote Sensing, 13, 753-772.
27. Privette, J. L., FowLer, C., Wick, G. A., BaLdwin, D., and Emery, W. J., 1995, EVects of orbital drift on AVHRR Products: NDVI and SST. Remote Sensing of Environment, 53, 164-177.
28. Qi, J., and Kerr, Y., 1994: On current Compositing Algorithms. In Proceeding of the Sixth International Symposium on Physical Measurements and Signatures in Remote Sensing, Val d’Isere, France, 17-21 January 1994 (Toulouse, CNES), pp. 135-142.
29. Running, S. W., and Nemani, R. R., 1988, Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forest in diVerent climates. Remote Sensing of Environment, 24, 347-367.
30. Seguin, B., Lagouarde, J. P., and Savane, M., 1991, The assessment of regional crop water conditions from meteorological satellite thermal infrared data. Remote Sensing of Environment, 35, 141-148.
31. Seguin, B., and Itier, B., 1983, Using mid-day surface temperature to estimate daily from satellite thermal IR data. International Journal of Remote Sensing, 4, 371-383.
32. Spanner, M. A., Pierce, L. L., Peterson, D. L., and Running, S. W., 1990, Remote sensing of temperate coniferous forest leaf area index. The influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing, 11, 95-111.
33. Tanre, D., Deroo, C., Duhaut, P., Herman, M., Morcrette, J. J., Perbos, J., and Deschamps, P. Y., 1986, Simulation of the satellite signal in the solar spectrum (5S), User’s guide. Laboratoire d’optique atmosphe'rique, Università des Sciences et Techniques de Lille, France, p. 264.
34. Tanre D., Deroo, C., Duhaut, P., Herman, M., Morcrette, J. J., Perbos, J., and Deschamps, P. Y., 1990, Description of a computer code to simulate the satellite signal in the solar spectrum: the 5S code. International Journal of Remote Sensing, 11, 659-668.
35. Van Dijk, A., CaLLis, S. L., Sakamoto, C. M., and Decker, W. L., 1987, Smoothing vegetation index profiles. An alternative method for reducing radiometric disturbance in NOAA-AVHRR data: Photogrammetric Engineering and Remote Sensing, 53, 1059-1067.
36. Viovy, N., Arino, O., and Belward, A. S., 1992, The best index slope extraction (BISE): a method for reducing noise in NDVI time-series. International Journal of Remote Sensing, 13, 1585-1590.