Utilizing local variance of simulated high spatial resolution imagery to predict spatial pattern of forest stands

Remote Sensing of Environment

Volumn 71, Issue 3, 2000, Pages 248-260

  Coops, Nicholas ^a   Culvenor, Darius ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FORESTRY; GEOMETRICAL OPTICS; IMAGE PROCESSING; MATHEMATICAL MODELS; OPTICAL RESOLVING POWER; PLANTS (BOTANY); VEGETATION;

GEOMETRIC-OPTICAL MODEL;

REMOTE SENSING;

FOREST; PREDICTION; SATELLITE IMAGERY; SPATIAL RESOLUTION;

EID: 0034161358     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(99)00068-1     Document Type: Article

References (37)

1. Chen J.M., Leblanc S.G. A four-scale bidirectional reflectance model based on canopy architecture. IEEE Trans. Geosci. Remote Sens. GE-35:1997;1316-1337.
2. Cohen W.B., Spies T.A. Estimating structural attributes of Douglas Fir/Western Hemlock forest stands from Landsat and SPOT imagery. Remote Sens. Environ. 41:1992;1-17.
3. Coops N.C., Catling P.C. Predicting the complexity of habitat in forests from airborne videography for wildlife management. Int. J. Remote Sens. 18(12):1997;2677-2686.
4. Coops N.C., Culvenor D., Preston R., Catling P.C. Procedures for predicting habitat and structural attributes in eucalypt forests using high spatial resolution remotely sensed imagery. Aus. For. 61(4):1998;244-252.
5. Curran P.J. The semivariogram in remote sensing. An introduction Remote Sens. Environ. 24:1988;493-507.
6. Danson F.M. Preliminary evaluation of the relationship between SPOT-1 HRV data and forest stand parameters. Int. J. Remote Sens. 8(10):1987;1571-1575.
7. Franklin J., Michaelsen J., Strahler A.H. Spatial analysis of density dependent pattern in coniferous forest stands. Vegetatio. 64(1):1985;29-36.
8. Gerard F.F., North P.R.J. Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model. Remote Sens. Environ. 62:1997;46-62.
9. Getis A., Boots B. Models of Spatial Process. An Approach to the Study of Point, Line and Area Patterns:1978;Cambridge University Press, Cambridge.
10. Gill, A. M., and Nicholls, A. O. (1989), Monitoring fire-prone flora in reserves for nature conservation. In Fire Management on Nature Conservation Lands (N. Burrows, L. McCaw, and G. Friend, Eds.), Western Australian Department of Conservation and Land Management, Occasional Paper 1/89, pp. 137-151.
11. Greig-Smith P. Pattern in vegetation. J. Ecol. 67:1979;755-779.
12. Greig-Smith P. Quantitative Plant Ecology. 1983;Blackwood Scientific Publications, Oxford.
13. Goel N.S., Qin W., Wang B. On the estimation of leaf size and crown geometry for tree canopies from hotspot observations. J. Geophys. Res. 102(D24):1997;29534-29554.
14. Harrison B.A., Jupp D.L.B. Introduction to Image Processing. 1990;CSIRO Publishing Australia, Melbourne.
15. Hopkins B., Skellam J.G. A new method for determining the type of distribution of plant individuals. Ann. Bot. Lond. N.S. 18(70):1954;213-227.
16. Keister T.D. Predicting individual tree mortality in simulated southern pine plantations. Forest Sci. 18(3):1972;213-217.
17. Lassle A.M. Spacing and competition in natural stands of sand pine. Ecol. 46:1965;65-72.
18. Leps J., Kindlmann P. Models of the development of spatial pattern of an even-aged plant population over time. Ecol. Mod. 39:1987;45-57.
19. Li X., Strahler A.H. Geometric-optical modelling of a conifer forest canopy. IEEE Trans. Geosci. Remote Sens. GE-23:1985;705-721.
20. Li X., Strahler A.H. Geometric-optical bidirectional reflectance modelling of a coniferous forest canopy. IEEE Trans Geosci. Remote Sens. GE-24:1986;906-919.
21. Li X., Strahler A.H. Modelling the gap probability of a discontinuous vegetation canopy. IEEE Trans. Geosci. Remote Sens. GE-26:1988;161-170.
22. Moeur M. Characterising spatial patterns of trees using stem mapped data. For. Sci. 39(4):1993;756-775.
23. Nilson T., Peterson U. A forest canopy reflectance model and a test case. Remote Sens. Environ. 37:1991;131-142.
24. Pielou E.C. The use of point-to-plant distances in the study of the pattern of plant distributions. J. Ecol. 47:1959;607-613.
25. Pielou E.C. A single mechanism to account for regular, random and aggregated populations. J. Ecol. 48:1960;575-584.
26. Pielou E.C. Introduction to Mathematical Ecology. 1969;Wiley-Interscience, New York.
27. Ranson K.J., Daughtry C.S.T., Biehl L.L. Sun angle, view angle, and background effects on spectral response of simulated Balsam Fir canopies. Photogramm. Eng. Remote Sens. 52:1986;649-658.
28. Renshaw E., Ford E.D. The interpretation of process and pattern using two dimensional spectral analysis. Modelling single species patterns in vegetation Vegetatio. 56(1):1984;113-123.
29. Ripley B.D. Spatial Statistics. 1981;John Wiley and Sons, New York.
30. Schaaf C.B., Li X., Strahler A.H. Topographic effects on bidirectional and hemispherical reflectances calculated with a geometric-optical canopy model. IEEE Trans. Geosci. Remote Sens. GE-32:1994;1186-1193.
31. Schaaf C.B., Strahler A.H. Solar zenith angle effects on forest canopy hemispherical reflectances calculated with a geometric-optical bidirectional reflectance model. IEEE Trans. Geosci. Remote Sens. GE-31:1993;921-927.
32. Strahler A.H., Jupp D.L.B. Modelling bidirectional reflectance of forests and woodlands using Boolean models and geometric optics. Remote Sens. Environ. 34:1990;153-166.
33. Strahler A.H., Woodcock C.E., Smith J.A. On the nature of models in remote sensing. Remote Sens. Environ. 20:1986;121-139.
34. Sun G., Ranson K.J. Radar modelling of forest spatial patterns. Int. J. Remote Sens. 19(9):1998;1769-1791.
35. Walsh S.J. Variability of Landsat MSS spectral responses of forests in relation to stand and site characteristics. Int. J. Remote Sens. 8(9):1987;1289-1299.
36. Woodcock C.E., Strahler A.H. The factor of scale in remote sensing. Remote Sens. Environ. 21:1987;311-332.
37. Wu H., Malafant K.W.J., Penridge L.K., Sharpe P.J.H., Walker J. Simulation of two-dimensional point patterns. Application of a lattice framework Ecol. Mod. 38:1987;299-308.