Retrieval of leaf area index in different vegetation types using high resolution satellite data

Remote Sensing of Environment

Volumn 86, Issue 1, 2003, Pages 120-131

  Colombo, Roberto ^a,b   Bellingeri, Dario ^b   Fasolini, Dante ^c   Marino, Carlo M ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c ERSAF Ente Regionde i Servizi all   (Italy)

Author keywords

IKONOS; LAI; SVIs; Texture indices

Indexed keywords

AGRICULTURE; IMAGE SENSORS; REGRESSION ANALYSIS; STATISTICAL METHODS; TEXTURES; VEGETATION;

LEAF AREA INDEX (LAI);

REMOTE SENSING;

IKONOS; IMAGE ANALYSIS; IMAGE RESOLUTION; LEAF AREA INDEX; REMOTE SENSING; SATELLITE DATA; TEXTURE; VEGETATION INDEX; VEGETATION TYPE;

EID: 0038606455     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(03)00094-4     Document Type: Article

References (38)

1. Baret, F., Guyot, G., Begue, A., Maurel, P., & Podaire, A. (1988). Complementarity of middle infrared with visible and near-infrared reflectance for monitoring wheat canopies. Remote Sens. Environ., 26, 213-225.
2. Barnes, E. M., Pinter, P. J., Moran, M. S., & Clarke, T. R. (1997). Remote sensing techniques for the integration of crop models with GIS. Proc. 89th Annual Meeting of the American Society of Agronomy. Anaheim, CA: Crop Science Society of America and Soil Science Society of America.
3. Bonan, G. B. (1993). Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Remote Sens. Environ., 43, 303-314.
4. Brown, L., Chen, J. M., Leblanc, S. G., & Cihlar, J. (2000). A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: An image and model analysis. Remote Sens. Environ., 71, 16-25.
5. Bruniquel-Pinel, V., & Gastellu-Etchegorry, J. P. (1998). Sensitivity of texture of high resolution images of forest biophysical and acquisition parameters. Remote Sens. Environ., 65, 61-85.
6. Castagnoli, A., & Dosso, P. (2001). Servizi ad alta tecnologia per la viticoltura di precisione. L'Informatore Agrario, 18, 57-62.
7. Chen, J. M., & Cihlar, J. (1996). Retrieving leaf area index for boreal conifer forests using Landsat TM images. Remote Sens. Environ., 55, 153-162.
8. Chen, J. M., Rich, P. M., Gower, S. T., Norman, J. M., & Plummer, S. (1997). Leaf area index of boreal forests: Theory, techniques and measurements. J. Geophys. Res., 102, 29429-29443.
9. Chica Olmo, M., & Abarca Hernandez, F. (2000). Computing geostatistical image texture for remotely sensed data classification. Comput. Geosci., 26, 373-383.
10. Fassnacht, K. S., Gower, S. T., MacKenzie, M. D., Nordheim, E. V., & Lillesand, T. M. (1997). Estimating the leaf area index of north central Wisconsin forest using the Landsat Thematic Mapper. Remote Sens. Environ., 61, 229-245.
11. Frankin, J. (1986). Thematic mapper analysis of coniferous forest structure and composition. Int. J. Remote Sens., 10, 1287-1301.
12. Franklin, S. E., Wulder, M. A., & Lavigne, M. B. (1996). Automated derivation of geometric window sizes for use in remote sensing digital image texture analysis. Comput. Geosci, 22(6), 665-673.
13. Garcia Cidad, V., & Vrindts, E. (2001). Use of very high resolution satellite images for precision farming: Recommendations on nitrogen fertilisation. In M. Owe, G. D'Urso, & E. Zilioli (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology II. SPIE Proc. (pp. 24-33). Bellingham, WA, USA: SPIE.
14. Gower, S. T., & Norman, J. M. (1991). Rapid estimation of leaf area index for forests using LI-COR LAI-2000. Ecology, 72, 1896-1900.
15. Gower, S. T., Kucharik, C. J., & Norman, J. M. (1999). Direct and indirect estimation of leaf area index, fapar, and net primary production of terrestrial ecosystems. Remote Sens. Environ., 70, 29-51.
16. Huete, A. R. (1988). A soil adjusted vegetation index (SAVI). Remote Sens. Environ., 25, 295-309.
17. Huete, A. R., Justice, C. O., & van Leeuwen, W. (1999). MODIS Vegetation Index (MOD 13) Algorithm Theoretical Basis Document (ATBD-MOD-13) version 3, available at http://eospso.gsfc.nasa.gov/ftp_ATBD/REVIEW/MODIS/ ATBD_MOD_13/atbd_mod_13.pdf.
18. Johnson, L. F., Roczen, D., & Youkhana, S. (2001). Vineyard canopy density mapping with Ikonos satellite imagery. Third International Conference on Geospatial Information in Agriculture and Forestry, Denver, Colorado. 10 pp.
19. Jordan, C. F. (1969). Derivation of leaf area index from quality of light on the forest floor. Ecology, 50, 663-666.
20. Kaufman, Y. J., & Tanré, D. (1992). Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS. IEEE Trans. Geosci. Remote Sens., 30, 261-270.
21. Levesque, J., & King, D. J. (1999). Airborne digital camera image semi-variance for evaluation of forest structural damage at an acid mine site. Remote Sens. Environ., 68, 112-124.
22. LI-COR (1992). LAI-2000 plant canopy analyzer instruction manual. Lincoln, NE: LI-COR.
23. Liu, J., Chen, J. M., Cihlar, J., & Park, W. M. (1997). A process-based Boreal ecosystem productivity simulator using remote sensing inputs. Remote Sens. Environ., 62, 158-175.
24. Moran, M. S., Inoue, Y., & Barnes, E. M. (1997). Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens. Environ., 61, 319-346.
25. Myneni, R. B., Nemani, R. R., & Running, S. W. (1997). Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Trans. Geosci. Remote Sens., 4, 1380-1393.
26. Nemani, R., Pierce, L., Running, S. W., & Band, L. (1993). Forest ecosystem processes at the watershed scale: Sensitivity to remotely sensed leaf area index estimates. Int. J. Remote Sens., 14(13), 2519-2534.
27. Richardson, A. J., & Wiegand, C. L. (1977). Distinguishing vegetation from soil background information. Photogramm. Eng. Remote Sens., 43, 1541-1552.
28. Rouse, J. W., & Haas, R. H. (1973). Monitoring vegetation systems in the great plain with ERTS. Third ERTS Symposium, vol. 1 (pp. 309-317). Washington, DC: NASA.
29. Running, S. W., Baldocchi, D. D., Turner, D. P., Gower, S. T., Bakwin, P. S., & Hibbard, K. A. (1999). A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sens. Environ., 70, 108-127.
30. Sellers, P. J., Mintz, Y., Sud, Y. C., & Dalcher, A. (1986). A simple biosphere model (SiB) for use within general circulation models. J. Atmos. Sci., 43, 505-531.
31. Spanner, M. A., Pierce, L. L., Peterson, D. L., & Running, S. W. (1990). Remote sensing of temperate coniferous forest leaf area index. The influence of canopy closure, understory vegetation and background reflectance. Int. J. Remote Sens., 11, 95-111.
32. Turner, D. P., Cohen, W. B., Kennedy, R. E., Fassnacht, K. S., & Briggs, J. M. (1999). Relationship between leaf area index and Landsat TM Spectral Vegetation Indices across three temperate zone sites. Remote Sens. Environ., 70, 52-68.
33. Weiss, M., Beaufort, L., Baret, F., Allard, D., Bruguier, N., & Marloie, O. (2001). Mapping Leaf Area Index measurements at different scales for the validation of large swath satellite sensors: First results of the VALERI project. (http://www.147.100.05/valeri/documents//valeri-aussois.pdf).
34. Welles, J. M., & Norman, J. M. (1991). Instrument for indirect measurement of canopy architecture. Agron. J., 83, 818-825.
35. White, M. A., Asner, G. P., Nemani, R. R., Privette, J. L., & Running, S. W. (2000). Measuring fractional cover and leaf area index in arid ecosystems: Digital camera, radiation transmittance, and laser altimetry methods. Remote Sens. Environ., 74, 45-75.
36. Wulder, M. A., Franklin, S. E., & Lavigne, M. B. (1996). High spatial resolution optical image texture for improved estimation of forest stand leaf area index. Can. J. Remote Sens., 22(4), 441-449.
37. Wulder, M. A., Le Drew, E. F., Franklin, S. E., & Lavigne, M. (1998). Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI). Remote Sens. Environ., 64, 64-76.
38. Yang, C., & Anderson, G. L. (1999). Airborne videography to identify spatial plant growth variability for grain sorghum. Precis. Agric., 1(1), 67-79.