Estimating stand structural details using nearest neighbor analyses to link ground data, forest cover maps, and Landsat imagery

Remote Sensing of Environment

Volumn 112, Issue 5, 2008, Pages 2578-2591

  LeMay, Valerie ^a   Maedel, Jerry ^a   Coops, Nicholas C ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Grid sampling; Landscape level analysis; Linkages across scales; Variable space nearest neighbor analysis

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; GRID COMPUTING; SATELLITE IMAGERY; TIMBER;

GRID SAMPLING; LANDSCAPE LEVEL ANALYSIS; LINKAGES ACROSS SCALES; VARIABLE-SPACE NEAREST NEIGHBOR ANALYSIS;

FORESTRY;

FOREST COVER; FOREST MANAGEMENT; GIS; GROWTH RATE; LANDSAT THEMATIC MAPPER; LANDSCAPE ECOLOGY; MONTANE FOREST; MONTE CARLO ANALYSIS; NEAREST NEIGHBOR ANALYSIS; PIXEL; SNAG; STAND STRUCTURE;

FORESTS; GIS; GRIDS; IMAGE ANALYSIS; SATELLITES;

BRITISH COLUMBIA; CANADA; NORTH AMERICA; PACIFIC COAST [CANADA]; PACIFIC COAST [NORTH AMERICA];

EID: 41249092263     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.12.007     Document Type: Article

References (43)

1. Aber J.D. Foliage-height profiles and succession in northern hardwood forests. Ecology 60 (1979) 18-23
2. Ambuel B., and Temple S.A. Area-dependent changes in the bird communities and vegetation of southern Wisconsin forests. Ecology 64 (1983) 1057-1068
3. Cortex Consultants. Development of multi-scale habitat classification methods for refining strategic habitat supply modelling: Analysis of data structure and review of methods for refining estimates of fine-scale habitat attributes. Internal report for BC Ministry of Forests (2006) Nanaimo, BC. FIA-FSP: Y061171
4. Cressie N.A.C. Statistics for spatial data, revised edition (1993), Wiley-Interscience Publication, Toronto
5. Crist E.P., and Kauth R.J. The tasseled cap de-mystified. Photogrammetric Engineering & Remote Sensing 52 (1986) 81-86
6. Ek A.R., Robinson A.P., Radtke P.J., and Walters D.K. Development and testing of regeneration imputation models for forests in Minnesota. Forest Ecology & Management 94 (1997) 129-140
7. Foody G.M., Boyd D.S., and Culter M.E.J. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment 85 (2003) 463-474
8. Foody G.M., Culter M.E., McMorrow J., Pelz D., Tangki H., Boyd D.S., et al. Mapping the biomass of Bornean tropical rain forest from remotely sensed data. Global Ecology Biogeography 10 (2001) 379-387
9. Franzreb K.E. Tree species used by birds in logged and un-logged mixed-coniferous forests. Wilson Bulletin 90 (1978) 221-238
10. Freemark K.E., and Merriam H.G. Importance of area and habitat heterogeneity to bird assemblages in temperate forest fragments. Biological Conservation 36 (1986) 115-141
11. Hall R.J., Skakun R.S., Arsenault E.J., and Case B.S. Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume. Forest Ecology & Management 225 (2006) 378-390
12. Hall R.J., Raulier F., Price D.T., Arsenault E., Bernier P.Y., Case B.S., et al. Integrating remote sensing and climate data with process-based models to map forest productivity within west-central Alberta's boreal forest: Ecoleap-West. Forestry Chronicle 82 2 (2006) 159-176
13. Huang B., Wylie B., Yang L., Homer C., and Zylstra G. Derivation of a tasseled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing 23 8 (2002) 1741-1748
14. Jenkins J.R. Introductory digital image processing: A remote sensing perspective. 3rd ed. (2005), Pearson Prentice Hall, Toronto
15. Lähde E., Laiho O., Norokorpi Y., and Saksa T. Stand structure as the basis of diversity index. Forest Ecology & Management 115 (1999) 213-220
16. LeMay V., and Temesgen H. Connecting inventory information sources for landscape level analyses. Forest Biometry, Modelling, and Information Sciences (FBMIS) 1 (2005) 37-49. http:// [refereed on-line journal at http:// www.fbmis.info]
17. LeMay V., and Temesgen H. Comparison of nearest neighbor methods for estimating basal area and stems per ha using aerial auxiliary variables. Forest Science 51 2 (2005) 109-119
18. MacArthur R.H., and MacArthur J.W. On bird species diversity. Ecology 42 (1961) 594-598
19. Mäkelä H., and Pekkarinen A. Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery. Remote Sensing of Environment 77 (2001) 66-75
20. Maltamo M., and Kangas A. Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution. Canadian Journal of Forest Research 28 (1998) 1107-1115
21. Markhan B., and Barker J. Landsat MSS and TM post calibration dynamic ranges, exoatmospheric reflectance sand at satellite temperature. EOSAT Landsat Technical Notes 1 (1986) 2-7
22. Meidinger D., and Pojar J. Ecosystems of British Columbia (1991), Province of British Columbia, Victoria, BC 330 pp
23. Moen C.A., and Gutierrez R.J. California spotted owl habitat selection in the central Sierra Nevada. Journal of Wildlife Management 61 (1997) 1281-1287
24. Moeur M. Extending stand exam data with most similar neighbor inference. Proceedings of the society of American Foresters National Convention. Sept. 11-15, 1999, Portland, Oregon (2000) 99-107
25. Moeur M., and Hershey R. Preserving spatial and attribute correlation in the interpolation of forest inventory data. In International symposium on spatial accuracy assessment in natural resources and environmental sciences. May 20-22, 1998, Quebec City, Quebec, Canada (1998) 419-430
26. Moeur M., and Stage A.R. Most similar neighbor: An improved sampling inference procedure for natural resource planning. Forest Science 41 (1995) 337-359
27. Ohmann J.L., and Gregory M.J. Predictive mapping of forest composition and structure with direct gradient analysis and nearest-neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research 32 (2002) 725-741
28. Pekkarinen A. Image segment-based spectral features in the estimation of timber volume. Remote Sensing of Environment 82 (2002) 349-359
29. Recher H.F., Majer J.D., and Ganesh S. Eucalypts, arthropods and birds: On the relation between foliar nutrients and species richness. Forest Ecology & Management 85 (1996) 177-195
30. Reese H., Nilsson M., Granqvist Pahlén T., Hagner O., Joyce S., Tingelöf U., et al. Countrywide estimates of forest variables using satellite data and field data from the national forest inventory. Royal Swedish Academy of Sciences, Ambio 32 8 (2003) 542-548
31. Resources Inventory Branch. Vegetation inventory: Draft procedures for the 1994 pilot projects (1994), Ministry of Forests, Resources Inventory Branch, Victoria, BC 300+ pp. plus Appendices
32. Staudhammer C., and LeMay V.M. Height prediction equations using diameter and stand density measures. Forestry Chronicle 76 2 (2000) 303-309
33. Suratman M.N., Bull G.Q., Leckie D.G., LeMay V.M., Marshall P.L., and Mispan M.R. Prediction models for estimating the area, volume, and age of rubber (Hevea brasiliensis) plantations in Malaysia using Landsat TM data. International Forestry Review 6 1 (2004) 1-12
34. Temesgen H., LeMay V.M., Froese K.L., and Marshall P.L. Imputing tree-lists from aerial attributes for complex stands of south-eastern British Columbia. Forest Ecology & Management 177 (2003) 277-285
35. Temple S.A., Mossman M.J., and Ambuel B. The ecology and management of avian communities in mixed hardwood-coniferous forests. Management of North Central and Northeastern forests for nongame birds. Workshop Proceedings. USDA Forest Service General Technical Report (1979) 132-153
36. Thompson M.E. Theory of sample surveys. Monographs on Statistics and Applied Probability 74 (1997), Chapman and Hall, New York
37. Tokola T., and Heikkila J. Improving satellite image based forest inventory by using a priori site quality information. Silva Fennica 1 31 (1997) 67-78
38. Tomppo E., and Halme M. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: A genetic algorithm approach. Remote Sensing of Environment 92 (2004) 1-20
39. Tomppo E., Nilsson M., Rosengren M., Aalto P., and Kennedy P. Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass. Remote Sensing of Environment 82 (2002) 156-171
40. Tuominen S., Fish S., and Poso S. Combining remote sensing, data from earlier inventories, and geostatistical interpolation in multisource forest inventory. Canadian Journal of Forest Research 33 (2003) 624-634
41. Watts S.B., and Tolland L. Forestry handbook for British Columbia, 5th ed. Forestry Undergraduate Society (2005), University of British Columbia, Vancouver, BC
42. Whittaker R.H. Evolution and measurement of species diversity. Taxon 21 (1972) 213-251
43. Willson M.F. Avian community organization and habitat structure. Ecology 55 (1974) 1017-1029