Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI)

Remote Sensing of Environment

Volumn 64, Issue 1, 1998, Pages 64-76

  Wulder, Mike A ^a   LeDrew, Ellsworth F ^a   Franklin, Steven E ^b   Lavigne, Mike B ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE QUALITY; MATHEMATICAL MODELS; PLANTS (BOTANY);

IMAGE TEXTURE; LEAF AREA INDEX (LAI); NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI);

REMOTE SENSING;

DECIDUOUS FOREST; IMAGE ANALYSIS; LEAF AREA INDEX; MIXED FOREST; TEXTURE;

EID: 0032035915     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(97)00169-7     Document Type: Article

References (73)

1. Analytical Spectral Devices, Inc. (1993), Personal Spectroradiometer: Procedures Reference, ASD, Inc., Boulder, CO.
2. Anger, C., Mali, S., Loch, C., and Renuncio, L. (1995), CASI data pre-processing methodologies: radiometric and geometric corrections. In Proceedings of the XVII Congresso Brasileiro de Cartografia, Salvador, Bahia, Brazil.
3. Anger, C., Achal, S., Ivanco, T., Mali, S., Price, R., and Busler, J. (1996), Extended operational capabilities of the CASI. In Proceedings of the Second International Airborne Remote Sensing Conference and Exhibition, San Francisco, 24-27 June, Vol. I, pp. 124-133.
4. Asrar, G., Fuchs, M., Kanemasu, E., and Hatfield, J. (1984), Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76: 300-306.
5. Baret, F., and Guyot, G. (1991), Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35:161-173.
6. Baret, F., Guyot, G., Begue, A., Maurel, P., and Podaire, A. (1988), Complimentarity of middle infrared with visible and near-infrared reflectance for monitoring wheat canopies. Remote Sens. Environ. 26:213-225.
7. Bonan, G. (1993), Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Remote Sens. Environ. 43:303-314.
8. Bowers, W., Franklin, S., Hudak, J., and McDermid, G. (1994), Forest structural damage analysis using image semivariance. Can. J. Remote Sens. 20(1):28-36.
9. Brown, D., and Bara, T. (1994), Recognition and reduction of systematic error in elevation and derivative surfaces from 71/2-minute DEMs. Photogramm. Eng. Remote Sens. 60(2): 189-194.
10. Cohen, W., Spies, T., and Bradshaw, G. (1990), Semivariograms of digital imagery for analysis of conifer canopy structure. Remote Sens. Environ. 35:167-178.
11. Cohen, W., Spies, T., and Fiorella, M. (1995), Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA. Int. J. Remote Sens. 6(4):721-723.
12. Cosandier, D., Ivanco, T., and Mali, S. (1992), The geocorrection and integration of the global positioning system with the compact airborne spectrographic imager. In Proceedings of the 15th Canadian Symposium on Remote Sensing, Toronto, Ontario, 1-4 June, pp. 385-390.
13. Curran, P. (1988), The semivariogram in remote sensing: an introduction. Remote Sens. Environ. 24:493-507.
14. Curran, P., and Williamson, H. (1987), GLAI estimation using measurements of red, near infrared and middle infrared radiance. Photogramm. Eng. Remote Sens. 53:181-186.
15. Dean, T., and Long, J. (1986), Variations in sapwood area-leaf area relations within two stands of lodgepole pine. Forest Sci. 32(3):749-758.
16. Dean, T., Long, J., and Smith, F. (1988), Bias in leaf area-sapwood area ratios and its impact on growth analysis in Pinus contorta. Trees 2:104-109.
17. Franklin, J. (1986), Thematic Mapper analysis of coniferous forest structure and composition. Int. J. Remote Sens. 7(10):1287-1301.
18. Franklin, J. (1995), Predictive vegetative mapping: geographic modeling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 19(4):474-499.
19. Franklin, S., and Giles, P. (1995), Radiometrie processing of aerial and satellite remote-sensing imagery. Comp. Geosci. 21(3):413-423.
20. Franklin, S., Lavigne, M., Wilson, B., and Hunt, E. (1994), Empirical relations between Balsam Fir (Abies balsamea) forest stand conditions and ERS-1 SAR data in western Newfoundland. Can. J. Remote Sens. 20(2):124-130.
21. Franklin, S., Wulder, M., and Lavigne, M. (1996), Automated derivation of geographic windows for use in remote sensing digital image texture analysis. Comp. Geosci. 22(6):665-673.
22. Franklin, S., Lavigne, M., Deuling, M., Wulder, M., and Hunt, E. (1997a), Estimation of forest leaf area index using remote sensing and GIS data for modeling net primary productivity. Int. J. Remote Sens. 18(16):3459-3471.
23. Franklin, S., Wulder, M., Lavigne, M., Deuling, M., and Hunt, R. (1997b), Classification of forest covertype for use in ecosystem models of net primary production. Can. J. Remote Sens. 23(3):243-251.
24. Freemantle, J., Pu, R., and Miller, J. (1992), Calibration of imaging spectrometer data to reflectance using pseudo-invariant features. In The 15th Canadian Symposium on Remote Sensing, 1-4 June, Toronto, pp. 452-455.
25. Gong, P., Pu, R., and Miller, J. (1992), Correlating leaf area index of ponderosa pine with hyperspectral CASI data. Can. J. Remote Sens. 18(4):275-282.
26. Gutman, G. (1991), Vegetation indices from AVHRR: an update and future prospects. Remote Sens. Environ. 35:121-136.
27. Hall, F., Strebel, D., Nickeson, J., and Goetz, S. (1991), Radiometric rectification: Towards a common radiometric response among multidata, multi sensor images. Remote Sens. Environ. 35:11-27.
28. Hall, F., Shimabukuro, Y., and Huemmrich, K. (1995), Remote sensing of forest biophysical structure using mixture decomposition and geometric reflectance models. Ecol. Appl. 5(4):993-1013.
29. Haralick, R. (1979), Statistical and structural approaches to texture. Proc. IEEE 67(5):786-804.
30. Haralick, R. (1986), Statistical image texture analysis. In Handbook of Pattern Recognition and Image Processing (T. Young and K. Fu, Eds.), Academic, Toronto, pp. 247-279.
31. Haralick, R., Shanmugam, K., and Dinstein, I. (1973), Textural features for image processing. IEEE Trans. Syst. Man Cybern. SMC-3(6):610-621.
32. Hoffman-Wellenhof, B., Lichtenegger, H., and Collins, J. (1992), Global Positioning Systems: Theory and Practice, Springer-Verlag, New York, 326 pp.
33. Hungerford, R. (1987), Estimation of foliage area in dense Montana lodgepole pine stands. Can. J. For. Res. 17:320-324.
34. Kaufmann, M., and Troendle, C. (1981), The relationship of leaf area and foliage biomass to sapwood conducting area in four subalpine forest tree species. For. Sci. 27(3):477-482.
35. Lavigne, M., Luther, J., Franklin, S., and Hunt, E. (1996), Comparing branch biomass prediction equations for Abies balsamea. Can. J. For. Res. 26:611-616.
36. Li, X., and Strahler, A. (1985), Geometric-optical modeling of a conifer forest canopy. IEEE Trans. Geosci. Remote Sens. GE-23(5):705-721.
37. Matheron, G. (1963), Principles of geostatistics. Econ. Geol. 58:1246-1266.
38. Monteith, J. (1972), Solar radiation and productivity in tropical ecosystems. J. Appl. Ecol. 9:747-766.
39. Nemani, R., Pierce, L., Running, S., and 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.
40. Oliver, M., Webster, R., and Gerrard, J. (1989), Geostatistics in physical geography. Part I: theory. Trans. Inst. British Geog. N.S. 14:259-269.
41. Peddle, D., and Franklin, S. (1991), Image texture processing and data integration for surface pattern discrimination. Photogramm. Eng. Remote Sens. 57(4):413-420.
42. Peddle, D., White, H., Soffer, R., Miller, J., and LeDrew, E. (1995), Reflectance processing of field spectrometer data in BOREAS. In Proceedings of the 17th Canadian Symposium on Remote Sensing, 13-15 June, Saskatoon, Saskatchewan, Vol. I, pp. 189-194.
43. Peterson, D., and Running, S. (1989), Applications in forest science and management. In Theory and Applications of Optical Remote Sensing (G. Asrar, Ed.), Wiley, New York, pp. 429-473.
44. Peterson, D., Spanner, M., Running, S., and Teuber, K. (1987), Relationship of Thematic Mapper data to leaf area index of temperate coniferous forests. Remote Sens. Environ. 22: 323-341.
45. Pierce, L., and Running, S. (1988), Rapid estimation of coniferous forest leaf area index using a portable integrating radiometer. Ecology 69(6):1762-1767.
46. Price, R., Anger, C., and Mali, S. (1995), Preliminary analysis of CASI preprocessing methodologies. In Proceedings of the 17th Canadian Symposium on Remote Sensing, Saskatoon, Saskatchewan, Vol. II, pp. 694-699.
47. Price, J. (1993), Estimating leaf area index from satellite data. IEEE Trans. Geosci. Remote Sens. 31(3):727-734.
48. Robichaud, E., and Methven, I. (1992), The applicability of the pipe model theory for the prediction of foliage biomass in trees from natural, untreated black spruce stands. Can. J. For. Res. 22:1118-1123.
49. Rossi, R., Dungan, J., and Beck, L. (1994), Kriging in the shadows: geostatistical interpolation for remote sensing. Remote Sens. Environ. 49:32-40.
50. Rowe, J. (1972), Forest Regions of Canada, Canadian Forest Service Publication No. 1300, Environment Canada, Ottawa, Ontario, 172 pp.
51. Running, S., and Coughlan, J. (1988), A general model of forest ecosystem processes for regional applications: I. Hydrologic balance, canopy gas exchange, and primary production processes. Ecol. Mod. 42:125-154.
52. Running, S., and Gower, S. (1991), FOREST-BGC, a general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets. Tree Phys. 9:147-160.
53. Running, S., and Hunt, E. (1994), Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global scale models. In Scaling Physi-ological Processes: Leaf to Globe (J. Ehleringer and C. Field, Eds.), Academic, Toronto, pp. 141-157.
54. Running, S., Peterson, D., Spanner, M., and Teuber, K. (1986), Remote sensing of coniferous forest leaf area. Ecology 67(1):273-276.
55. Schwarz, K., Chapman, M., Cannon, M., and Gong, P. (1993), An integrated INS/GPS approach to the georeferencing of remotely sensed data. Photogramm. Eng. Remote Sens. 59(11):1667-1674.
56. Smith, N., Borstad, G., Hill, D., and Kerr, R. (1991), Using high-resolution airborne spectral data to estimate forest leaf area and stand structure. Can. J. For. Res. 21:1127-1132.
57. Spanner, M., Pierce, L., Peterson, D., and Running, S. (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(1): 95-111.
58. Spanner, M., Johnson, L., Miller, J., et al. (1994), Remote sensing of seasonal leaf area index across the Oregon transect. Ecol. Appl. 4(2):258-271.
59. Spurr, S., and Barnes, B. (1980), Forest Ecology, J Wiley, Toronto, 687 pp.
60. St-Onge, B., and Cavayas, F. (1995), Estimating forest stand structure from high resolution imagery using the directional variogram. Int. J. Remote Sens. 16(11):1999-2021.
61. St-Onge, B., and Cavayas, F. (1997), Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates. Remote Sens. Environ. 61: 82-95.
62. Strahler, A., Woodcock, C. and Smith, J. (1986), On the nature of models in remote sensing. Remote Sens. Environ. 20: 121-139.
63. Tucker, C. (1977), Spectral estimation of grass canopy variables. Remote Sens. Environ. 6:11-26.
64. Woodcock, C., and Strahler, A. (1987), The factor of scale in remote sensing. Remote Sens. Environ. 21:311-322.
65. Woodcock, C., Strahler, A., and Jupp, D. (1988), The use of variograms in remote sensing: I. scene models and simulated images. Remote Sens. Environ. 25:323-348.
66. Woods, K., Feiveson, A., and Botkin, R. (1991), Statistical error analysis for biomass density and leaf area index estimation. Can. J. For. Res. 21:974-989.
67. Wu, Y., and Strahler, A. (1994), Remote estimation of crown size, stand density, and biomass on the Oregon transect. Ecol. Appl. 4(2):299-312.
68. Wulder, M. (1996), Airborne remote sensing of forest structure: Estimation of leaf area index, Masters thesis, University of Waterloo, Waterloo, Ontario, Canada, 101 pp. (unpublished).
69. Wulder, M. (in press), The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, UNIX, and C. Comp. Geosci.
70. Wulder, M., Lavigne, M., and Franklin, S. (1996a), High spatial resolution optical image texture for improved estimation of forest stand leaf area index. Can. J. Remote Sens. 22(4): 441-449.
71. Wulder, M., Franklin, S., and Lavigne, M. (1996b), Statistical texture properties of forest structure for improved estimates of LAI from CASI. In Proceedings of the 26th International Symposium on Remote Sensing of the Environment and 18th Annual Symposium of the Canadian Remote Sensing Society, Vancouver, pp. 161-164.
72. Wulder, M., Mali, S., and Trudeau, D. (1996c), Mission planning for operational data acquisition campaigns with the CASI. In Proceedings of the Second Annual Airborne Remote Sensing Conference and Exhibition, San Francisco, 23-27 June, Vol. III, pp. 53-62.
73. Wulder, M., Franklin, S., Lavigne, M., Deuling, M., and Hunt, E. (1996d), Estimation of the net primary productivity of the Fundy Model Forest. In Proceedings of Eco-Informa '96, Lake Buena Vista, FL, 4-7 November, Vol. 10, pp. 327-332.