Coniferous Forest Classification and Inventory Using Landsat and Digital Terrain Data

IEEE Transactions on Geoscience and Remote Sensing

Volumn GE-24, Issue 1, 1986, Pages 139-149

  Franklin, Janet ^a   Logan, Thomas L ^b   Woodcock, Curtis E ^c   Strahler, Alan H ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c BOSTON UNIVERSITY   (United States)

^d CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

Classification; digital terrain data; forest vegetation; Landsat; timnber inventory

Indexed keywords

IMAGE PROCESSING; REMOTE SENSING - MULTISPECTRAL SCANNERS;

FOCIS; FOREST CLASSIFICATION AND INVENTORY SYSTEM; FOREST VEGETATION STRATIFICATION; TIMBER INVENTORY;

FORESTRY;

EID: 0022435632     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/TGRS.1986.289543     Document Type: Article

References (26)

1. A. H. Strahler, “Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data,” Int. J. Remote Sensing, vol. 2, pp. 15–41, 1981.
2. A. H. Strahler, J. Franklin, C. E. Woodcock, and T. L. Logan, “FO-CIS: A forest classification and inventory system using Landsat and digital terrain data,” Final Rep., NASA contract NAS-9-15509, Geography Remote Sensing Unit, Univ. of California, Santa Barbara, 1981.
3. A. H. Strahler, T. L. Logan, J. Franklin, and H. Bowlin, lin, “Automated forest classification and inventory in the Eldorado National Forest,” Final Rep., U.S.F.S. Contract 53-9lS8-1-6504, U.S.D.A. Forest Ser-vice, Region 5, 630 Sansome St., San Francisco, CA 94111, 1983.
4. R. M. Hoffer and Staff, “Natural resource mapping in mountainous terrain by computer-analysis of ERTS-1 satellite data,” Research Bull. 919, Agricultural Experiment Station and Lab. for Applications of Re-mote Sensing, Purdue Univ., West Lafayette, IN, 1975.
5. R. M. Hoffer and Staff, “Computer-aided analysis of Skylab multi-spectral scanner data in mountainous terrain for land use, forestry, water resource, and geologic applications,” LARS Tech. Rep. 121275, Lab. for Applications of Remote Sensing, Purdue Univ., West Lafa-yette, IN, 1975.
6. S. Khorram and E. F. Katibah, “Vegetation/land cover mapping of the Middle Fork of the Feather River watershed using Landsat digital data,” Forest Sci., vol. 30, pp. 248–258, 1984.
7. R. M. Hoffer, M. D. Fleming, L. A. Bartolucci, S. M. Davis, and R. F. Nelson, “Digital processing of Landsat MSS and topographic data to improve capabilities for computerized mapping of forest cover types,” LARS Tech. Rep. 011579, Lab. for Applications of Remote Sensing, Purdue Univ., West Lafayette, IN, 1979.
8. D. Blakeman, Pacific Southwest Forest and Range Experiment Station, Berkeley, CA, personal communication.
9. K. R. Castleman, Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1982.
10. N. A. Bryant and A. L. Zobrisvhuxt, “IBIS: A geographic information system based on digital image processing and image raster data type,” in Proc. 2nd Purdue Symp. Machine Processing Remotely Sensed Data (West Lafayette, IN), 1976.
11. A. H. Strahler, T. L. Logan, and N. A. Bryant, “Improving forest cover classification accuracy from Landsat by incorporating topographic information,” in Proc. 12th Int. Symp. Remote Sensing Environ. (Ann Arbor, MI), pp. 927–942, 1978.
12. A. H. Strahler, T. L. Logan, and C. E. Woodcock, “Forest classification and inventory system using Landsat, digital terrain, and ground sample data,” in Proc. 13th Int. Symp. Remote Sensing Environ. (Ann Arbor, MI), pp. 1541–1557, 1979.
13. A. H. Strahler and P. F. Maynard, “A logit classifier for multiimage data,” in Proc. Workshop Picture Data Description and Management (Asilomar, CA), IEEE Computer Society Pub. 80 CH1530-5, pp. 5–11, 1980.
14. R. E. Hartung and W. J. Lloyd, “Influence of aspect on forests of the Clarksville soils in Dent county, Missouri,” J. Forestry, vol. 26, pp. 178–182, 1969.
15. T. W. Bowersox and W. W. Ward, “Prediction of oak site index in the Ridge and Valley region of Pennsylvania,” Forest Sci., vol. 18, pp. 192–195, 1972.
16. D. L. Graney and E. R. Ferguson, “Shortleaf pine site-index relationships in the Ozark Highlands,” Proc. Soil Sci. Soc. Anlerica, vol. 36, pp. 495–500, 1972.
17. A. H. Strahler, “Response of woody species to site factors in Mary-land, U.S.A.: Evaluation of sampling plans and of continuous and bi-nary measurement techniques,” Vegetatio, vol. 35, pp. 1–19, 1977.
18. R. Tryon and D. Bailey, Cluster Analysis. New York: McGraw-Hill, 1970, pp. 147–150.
19. F. J. Rohlf, J. Kishpaugh, and D. Kirk, “NT-SYS: Numerical taxonomy system of multivariate statistical programs,” documentation and programs available from F. J. Rohlf, State University of New York, Stony Brook, NY, 1974.
20. F. G. Sadowski and W. A. Malila, “Reflectance modeling and empirical multispectral analysis of forest canopy components,” Final Rep., Investigations of Techniques for Inventorying Forest Regions, vol. 1, Environmental Research Institute of Michigan Tech. Rep. 122700-35-Fl, Ann Arbor, MI, 1977.
21. U.S. Forest Service, “Compartment Inventory Analysis: Region 5 C.I.A. Handbook, Mar. 19, 1979,”, Timber Management Staff, U.S. Forest Service, San Francisco, CA, 1979.
22. W. A. Davis and F. G. Peet, “The identification and reclassification of small regions in digital thematic maps,” Forest Management Institute, Ottawa, Ont., Canada, Information Rep. FMR-X-90, 1976.
23. W. G. Cochran, Sampling Techniques, 3rd ed. New York: Wiley, 1977.
24. J. R. Anderson, “A land use and land cover classification system for use with remotely sensed data,” US. Geo. Surv. Prof. Paper 964, 1976.
25. F. J. Rohlf and R. R. Sokal, Statistical Tables, 2nd ed. San Fran-cisco: W.H. Freeman, 1981.
26. D. H. Card, “Using known map category marginal frequencies to improve estimates of thematic map accuracy,” Photogrammetr. Eng., vol. 48, pp. 431–439, 1982.