Accuracy and precision for remote sensing applications of nonlinear model-based inference

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 6, Issue 1, 2013, Pages 27-34

  McRoberts, Ronald E ^a   Naesset, Erik ^b   Gobakken, Terje ^a  

^a USDA FOREST SERVICE   (United States)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

Author keywords

Landsat; Lidar; Variable selection

Indexed keywords

FORESTRY; OPTICAL RADAR; REGRESSION ANALYSIS; REMOTE SENSING; SPECIFICATIONS;

ACCURACY AND PRECISION; BENEFICIAL EFFECTS; INDEPENDENT VARIABLES; LANDSAT; LOGISTIC REGRESSION MODELING; MODEL SPECIFICATIONS; REMOTE SENSING APPLICATIONS; VARIABLE SELECTION;

ESTIMATION;

ACCURACY ASSESSMENT; DATA ACQUISITION; FOREST COVER; FOREST INVENTORY; LANDSAT; LIDAR; MODEL TEST; NONLINEARITY; PRECISION; PROBABILITY; REGRESSION ANALYSIS; REMOTE SENSING;

FORESTRY; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; SPECIFICATIONS;

NORWAY; UNITED STATES;

EID: 84897113193     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2227299     Document Type: Article

References (39)

1. R. E. McRoberts, "Probability-and model-based approaches to inference for proportion forest using satellite imagery as ancillary data," Remote Sens. Environ., vol. 114, pp. 1017-1025, 2010.
2. T. G. Gregoire, G. Stahl, E. Naesset, T. Gobakken, R. Nelson, and S. Holm, "Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, Norway," Can. J. Forest Res., vol. 41, pp. 83-95, 2011.
3. G. Stahl, S. Holm, T. G. Gregoire, T. Gobakken, E. Naesset, and R. Nelson, "Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway," Can. J. Forest Res., vol. 41, pp. 96-107, 2011.
4. R. E.McRoberts, T. Gobakken, and E. Naesset, "Post-stratified estimation of forest area and growing stock volume using lidar-based stratifications," Remote Sens. Environ., vol. 125, pp. 157-166.
5. B. Matern, "Spatial variation," in Medd. Statens Skogsforskningsinst. New York: Springer-Verlag, 1986, Band 49, No. 5, 1960 (Reprinted as volume 36 of the series Lecture Notes in Statistics).
6. K. R.W. Brewer, "Ratio estimation in finite populations: Some results deductible from the assumption of an underlying stochastic process," Austral. J. Statist., vol. 5, pp. 93-105, 1963.
7. R.M.Royall, "On finite population sampling theory under certain linear regression models," Biometrika, vol. 57, no. 2, pp. 377-387, 1970.
8. K. Rennolls, "The use of superpopulation-predictionmethods in survey analysis, with application to the British National Census ofWoodlands and Trees," in H. G. Lund (Ed.), In Place Resource Inventories: Principles and Practices. 9-14 Aug. 1981, Orono, ME, Bethesda, MD: Society of American Foresters, pp. 395-401, 1982.
9. A. Kangas, "Small area estimation using model based methods," Can. J. Forest Res., vol. 26, pp. 758-766, 1996.
10. T. G. Gregoire, "Design-based and model-based inference: Appreciating the difference," Can. J. Forest Res., vol. 28, pp. 1429-1447, 1998.
11. A. Kangas and M. Maltamo, Forest Inventory, Methodology and Applications. Dordrecht, The Netherlands: Springer, 2006.
12. R. E. McRoberts, "A model-based approach to estimating forest area," Remote Sens. Environ., vol. 103, pp. 56-66, 2006. (Pubitemid 43867592)
13. D. Mandallaz, Sampling Techniques for Forest Inventories. New York: Chapman & Hall, 2008.
14. R. E. McRoberts, E. Tomppo, and E. Naesset, "Advances and emerging issues in national forest inventories," Scand. J. Forest Res., vol. 25, pp. 368-381, 2010.
15. J. K. Vanclay and J. P. Skovsgaard, "Evaluating forest growthmodels," Ecological Modelling, vol. 98, pp. 1-12, 1997.
16. H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Autom. Contr., vol. 19, pp. 716-723, 1974.
17. C. L. Mallows, "Some comments on ," Technometrics, vol. 15, pp. 661-675, 1973.
18. J.W. Rouse, R. H. Haas, J. A. Schell, and D.W. Deering, "Monitoring vegetation systems in the great plains with ERTS," in Proc. 3rd ERTS Symp., Washington, DC, 1973, vol. 1, pp. 309-317, NASA SP-351.
19. R. J. Kauth and G. S. Thomas, "The tasseled cap-A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat," in Proc. Symp. Machine Processing of Remotely Sensed Data, Purdue Univ., West Lafayette, IN, 1976, pp. 41-51.
20. E. P. Crist, R. C. Cicone, and R. C. , "Application of the tasseled cap concept to simulated thematic mapper data," Photogramm. Eng. Remote Sens., vol. 50, pp. 343-352, 1984.
21. R. E. McRoberts, W. A. Bechtold, P. L. Patterson, C. T. Scott, and G. A. Reams, "The enhanced forest inventory and analysis program of the USDA forest service: Historical perspective and announcement of statistical documentation," J. Forestry, vol. 103, no. 6, pp. 304-308, 2005. (Pubitemid 41522667)
22. T. Gobakken and E. Naesset, "Assessing effects of laser point density, ground sampling intensity, and field plot sample size on biophysical stand properties derived from airborne laser scanner data," Can. J. Forest Res., vol. 38, pp. 1095-1109, 2008. (Pubitemid 351768951)
23. S. M. Tomter, G. Hylen, and J.-E. Nilsen, "Development of Norway's national forest inventory," in National Forest Inventories-Pathways for Common Reporting, E. Tomppo, T. Gschwantner, M. Lawrence, and R. E. McRoberts, Eds. New York: Springer, 2010, pp. 411-424.
24. A. Fitje and E. Vestjordet, "Stand height curves and new tariff tables for Norway spruce," Reports of the Norwegian Forest Research Institute, vol. 34, pp. 23-62, 1977, (in Norwegian with English summary).
25. E. Vestjordet, "Merchantable volume of Norway spruce and Scots pine based on relative height and diameter at breast height or 2.5 m above stump level," Meddelelser fra Det Norske Skogforsoksvesen, vol. 25, pp. 411-459, 1968, (in Norwegian with English Summary.).
26. H. Braastad, "Volume tables for birch," Meddelelser fra Det Norske Skogforsoksvesen, vol. 21, pp. 23-78, 1966, (in Norwegian with English summary).
27. A. Brantseg, "Volume functions and tables for Scots pine. South Norway," Meddelelser fra Det Norske Skogforsoksvesen, vol. 22, pp. 689-739, 1967, (in Norwegian with English summary).
28. E. Vestjordet, "Functions and tables for volume of standing trees. Norway spruce," Meddelelser fra Det Norske Skogforsoksvesen, vol. 22, pp. 539-574, 1967, (in Norwegian with English summary).
29. A. Agresti, An Introduction to Categorical Data Analysis. Hoboken, NJ: Wiley-Interscience, 2007.
30. D. A. Ratkowsky, Nonlinear Regression Modelling: A Unified Practical Approach. New York: Dekker, 1983.
31. L. M. Haines, T. E. Brien, and G. P. Y. Clark, "Kurtosis and curvature measures for nonlinear regression models," Statistica Sinica, vol. 14, pp. 547-570, 2004. (Pubitemid 38907076)
32. C. Sarndal, B. Swensson, and J.Wretman,Model-Assisted Survey Sampling. New York: Springer-Verlag, 1992.
33. S. Lohr, Sampling: Design and Analysis. Pacific Grove, CA: Duxbury, 1999.
34. D. W. Hosmer and S. Lemeshow, Applied Logistic Regression. New York: Wiley, 1989.
35. R. Haapanen, "Delineation of forest/nonforest land use classes using nearest neighbor methods," Remote Sens. Environ., vol. 89, pp. 265-271, 2004. (Pubitemid 38178901)
36. A. O. Finley, S. Banerjee, and R. E. McRoberts, "ABayesian approach to multi-source forest area estimation," Environmental and Ecological Statistics, vol. 15, no. 2, pp. 241-258, 2008. (Pubitemid 351546677)
37. E. Naesset, "Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data," Remote Sens. Environ., vol. 80, pp. 88-99, 2002. (Pubitemid 34271204)
38. E. Naesset and T. Gobakken, "Estimation of above-and below-ground biomass across regions of the boreal forest zone using airborne laser," Remote Sens. Environ., vol. 112, pp. 3079-3090, 2008.
39. R. E. McRoberts and V. C. Lessard, "Estimating the uncertainty in diameter growth model predictions and its effects on the uncertainty of annual inventory estimates," in Proc. 2nd Annual Forest Inventory and Analysis Symp., G. A. Reams, R. E. McRoberts, and P. C. Van Deusen, Eds., General Technical Report SRS-47. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, pp. 70-75, 2010.