Subalpine zone delineation using LiDAR and Landsat imagery

Remote Sensing of Environment

Volumn 119, Issue , 2012, Pages 11-20

  Ørka, Hans Ole ^a   Wulder, Michael A ^b   Gobakken, Terje ^a   Næsset, Erik ^a  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

Airborne laser scanning; Canopy coverage; Forest tundra ecotone; Landsat; LiDAR; Logistic regression; National forest inventory; Satellite data; Subalpine zone

Indexed keywords

AIRBORNE LASER SCANNING; CANOPY COVERAGE; FOREST-TUNDRA ECOTONE; LANDSAT; LOGISTIC REGRESSION; NATIONAL FOREST INVENTORIES; SATELLITE DATA; SUBALPINE ZONE;

LOGISTICS; OPTICAL RADAR; REGRESSION ANALYSIS;

FORESTRY;

DIGITAL TERRAIN MODEL; ECOTONE; FOREST CANOPY; FOREST INVENTORY; LANDSAT; LIDAR; LOGISTICS; MOUNTAIN REGION; PROBABILITY; REGRESSION ANALYSIS; SATELLITE IMAGERY; SUBALPINE ENVIRONMENT; THREE-DIMENSIONAL MODELING; TUNDRA;

FORESTRY; IMAGE ANALYSIS; MATHEMATICAL MODELS; NORWAY; PLANTS; REGRESSION ANALYSIS; SATELLITES;

HEDMARK; NORWAY;

EID: 84855793923     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.11.023     Document Type: Article

References (58)

1. Andersen H.-E., Barrett T., Winterberger K., Strunk J., Temesgen H. Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design. IUFRO Div. 4 Symposium, Extending Forest Inventory and Monitoring 2009, 5. Québec City, Quebec, Canada: International Union Of Forestry Research Organizations (IUFRO) (Retrieved November 2011, from http://blue.for.msu.edu/meeting/proceed.php).
2. Bader M.Y., Ruijten J.J.A. A topography-based model of forest cover at the alpine tree line in the tropical Andes. Journal of Biogeography 2008, 35:711-723.
3. Baltsavias E.P. Airborne laser scanning: basic relations and formulas. ISPRS Journal of Photogrammetry and Remote Sensing 1999, 54:199-214.
4. Boudreau J., Nelson R.F., Margolis H.A., Beaudoin A., Guindon L., Kimes D.S. Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec. Remote Sensing of Environment 2008, 112:3876-3890.
5. Burrough P.A., McDonell R.A. Principles of geographical information systems 1998, Oxford University Press, New York.
6. Cairns D.M., Moen J. Herbivory influences tree lines. Journal of Ecology 2004, 92:1019-1024.
7. Callaghan T.V., Werkman B.R., Crawford R.M.M. The tundra-taiga interface and its dynamics: Concepts and applications. Ambio 2002, 6-14.
8. Chasmer L., Hopkinson C., Smith B., Treitz P. Examining the influence of changing laser pulse repetition frequencies on conifer forest canopy returns. Photogrammetric Engineering and Remote Sensing 2006, 72:1359-1367.
9. Clements F.E. Research methods in ecology 1905, University Publishing Company, Lincoln, Neb.
10. Cohen W.B., Goward S.N. Landsat's role in ecological applications of remote sensing. Bioscience 2004, 54:535-545.
11. Crist E.P., Kauth R.J. The tasseled cap de-mystified (transformations of MSS and TM data). Photogrammetric Engineering and Remote Sensing 1986, 52:81-86.
12. Dalen L., Hofgaard A. Differential regional treeline dynamics in the Scandes Mountains. Arctic Antarctic and Alpine Research 2005, 37:284-296.
13. Falkowski M.J., Wulder M.A., White J.C., Gillis M.D. Supporting large-area, sample-based forest inventories with very high spatial resolution satellite imagery. Progress in Physical Geography 2009, 33:403-423.
14. FAO Global forest resources assessment 2005 - Progress towards sustainable forest management. FAO forestry paper 147 2006, Food and Agriculture Organization of the United Nations, Rome.
15. Foody G.M. Fuzzy modelling of vegetation from remotely sensed imagery. Ecological Modelling 1996, 85:3-12.
16. Foody G.M. Monitoring the magnitude of land-cover change around the southern limits of the Sahara. Photogrammetric Engineering and Remote Sensing 2001, 67:841-848.
17. Franklin J. Predictive vegetation mapping: Geographic modelling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography 1995, 19:474.
18. Fu P., Rich P.M. Design and implementation of the Solar Analyst: An ArcView extension for modeling solar radiation at landscape scales. Proceedings of the 19th annual ESRI user conference 1999, ESRI, San Diego, USA.
19. Gaveau D.L.A., Hill R.A. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing 2003, 29:650-657.
20. Gregoire T., Ståhl G., Næsset E., Gobakken T., Nelson R., Holm S. Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark county, Norway. Canadian Journal of Forest Research 2011, 41:83-95.
21. Han T., Wulder M.A., White J.C., Coops N.C., Alvarez M.F., Butson C. An efficient protocol to process Landsat images for change detection with tasselled cap transformation. Geoscience and Remote Sensing Letters 2007, 4:147-151.
22. Harsch M.A., Hulme P.E., McGlone M.S., Duncan R.P. Are treelines advancing? A global meta-analysis of treeline response to climate warming. Ecology Letters 2009, 12:1040-1049.
23. Hill R.A., Granica K., Smith G.M., Schardt M. Representation of an alpine treeline ecotone in SPOT 5 HRG data. Remote Sensing of Environment 2007, 110:458-467.
24. Hofgaard A. Inter-relationships between treeline position, species diversity, land use and climate change in the central Scandes Mountains of Norway. Global Ecology and Biogeography Letters 1997, 6:419-429.
25. Homer C., Dewitz J., Fry J., Coan M., Hossain N., Larson C., Herold N., McKerrow A., VanDriel J.N., Wickham J. Completion of the 2001 National Land Cover Database for the conterminous United States. Photogrammetric Engineering and Remote Sensing 2007, 73:337-341.
26. Hopkinson C., Chasmer L. Testing LiDAR models of fractional cover across multiple forest ecozones. Remote Sensing of Environment 2009, 113:275-288.
27. Hosmer D.W., Hosmer T., le Cessie S., Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. Statistics in Medicine 1997, 16:965-980.
28. Huang C., Wylie B., Yang L., Homer C., Zylstra G. Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing 2002, 23:1741-1748.
29. Hyde P., Dubayah R., Walker W., Blair J.B., Hofton M., Hunsaker C. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy. Remote Sensing of Environment 2006, 102:63-73.
30. Hyyppä H., Hyyppä J. Comparing the accuracy of laser scanner with other optical remote sensing data sources for stand attributes retrieval. The Photogrammetric Journal of Finland 1999, 16:5-15.
31. Kauth R.J., Thomas G.S. The tasseled cap-A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. Final proceedings: 2nd international symposium on machine processing of remotely sensed data 1976, Purdue University, West Lafayette, India.
32. Kimmins J.P. Forest ecology, a foundation for sustainable management 1997, Prentice-Hall Inc., Upper Saddle River, New Jersey. 2nd ed.
33. Lefsky M.A., Cohen W.B., Spies T.A. An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon. Canadian Journal of Forest Research 2001, 31:78-87.
34. Löve D. Subarctic and subalpine: Where and what?. Arctic and Alpine Research 1970, 2:63-73.
35. Moen A. National atlas of Norway: Vegetation 1999, Norwegian Mapping Authority, Hønefoss, Hønefoss.
36. Moore I.D., Grayson R.B., Landson A.R. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes 1991, 5:3-30.
37. Næsset E. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sensing of Environment 2002, 80:88-99.
38. Næsset E. Influence of terrain model smoothing and flight and sensor configurations on detection of small pioneer trees in the boreal-alpine transition zone utilizing height metrics derived from airborne scanning lasers. Remote Sensing of Environment 2009, 113:2210-2223.
39. Næsset E., Gobakken T., Nelson R. Sampling and mapping forest volume and biomass using airborne LIDARs. Proceedings of the eight annual forest inventory and analysis symposium, Monterey, CA, USA 2009, 297-301.
40. Næsset E., Nelson R. Using airborne laser scanning to monitor tree migration in the boreal-alpine transition zone. Remote Sensing of Environment 2007, 110:357-369.
41. Nagelkerke N.J.D. A note on a general definition of the coefficient of determination. Biometrika 1991, 78:691-692.
42. Nelson R., Short A., Valenti M. Measuring biomass and carbon in Delaware using an airborne profiling LIDAR. Scandinavian Journal of Forest Research 2004, 19:500-511.
43. Ørka H.O., Næsset E., Bollandsås O.M. Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning. Remote Sensing of Environment 2010, 114:1445-1461.
44. Pitas I. Digital image processing algorithms and applications 2000, Wiley, New York.
45. R: A language and environment for statistical computing 2009, R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria.
46. Ranson K.J., Sun G., Kharuk V.I., Kovacs K. Assessing tundra-taiga boundary with multi-sensor satellite data. Remote Sensing of Environment 2004, 93:283-295.
47. Rees W.G. Characterisation of Arctic treelines by LiDAR and multispectral imagery. Polar Record 2007, 43:345-352.
48. Riano D., Valladares F., Condes S., Chuvieco E. Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology 2004, 124:269-275.
49. Rogan J., Miller J. Integrating GIS and remotely sensed data for mapping forest disturbance and change. Understanding forest disturbance and spatial pattern 2007, 133-171. CRC Taylor & Francis, Boca Raton, FL, USA. M.A. Wulder, S.E. Franklin (Eds.).
50. Ståhl G., Holm S., Gregoire T., Gobakken T., Næsset E., Nelson R. Model-based inference for biomass estimation in a LiDAR sample survey in the county of Hedmark County, Norway. Canadian journal of forest research-Revue canadienne de recherche forestier 2011, 41:96-107.
51. UNFCCC Kyoto protocol reference manual on accounting of emissions and assigned amount 2008.
52. Wilkinson G.G. Results and implications of a study of fifteen years of satellite image classification experiments. IEEE Transactions on Geoscience and Remote Sensing 2005, 43:433-440.
53. Woodcock C., Allen R., Anderson M., Belward A., Bindschadler R., Cohen W., Gao F., Goward S., Helder D., Helmer E. Free access to Landsat imagery. Science 2008, 320:1011.
54. Wulder M. Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters. Progress in Physical Geography 1998, 22:449-476.
55. Wulder M.A., Han T., White J.C., Butson C.R., Hall R.J. An approach for edge matching large-area satellite image classifications. Canadian Journal of Remote Sensing 2007, 33:266-277.
56. Wulder M.A., White J.C., Bentz B., Alvarez M.F., Coops N.C. Estimating the probability of mountain pine beetle red-attack damage. Remote Sensing of Environment 2006, 101:150-166.
57. Wulder M.A., White J.C., Cranny M., Hall R.J., Luther J.E., Beaudoin A., Goodenough D.G., Dechka J.A. Monitoring Canada's forests. Part 1: Completion of the EOSD land cover project. Canadian Journal of Remote Sensing 2008, 34:549-562.
58. Zeverbergen L.W., Thorne C.R. Quantitative analysis of land surface topography. Earth Surface Processes and Landforms 1987, 12:47-56.