Angle count sampling reliability as ground truth for area-based lidar applications in forest inventories

Canadian Journal of Forest Research

Volumn 45, Issue 4, 2015, Pages 506-514

  Scrinzi, Gianfranco ^a   Clementel, Fabrizio ^a   Floris, Antonio ^a  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

Author keywords

Angle count sampling; Forest inventories; LiDAR; Relascope; Timber volume

Indexed keywords

LINEAR REGRESSION; MEAN SQUARE ERROR; OPTICAL RADAR; REGRESSION ANALYSIS; TIMBER; UNCERTAINTY ANALYSIS;

EXPLANATORY VARIABLES; FOREST INVENTORY; RELASCOPE; ROOT MEAN SQUARE ERRORS; SIMPLE LINEAR REGRESSION; SIMULATION PROCEDURES; TIMBER VOLUME; TREE CANOPY HEIGHT;

FORESTRY;

FOREST CANOPY; FOREST INVENTORY; GROWTH RESPONSE; HEIGHT; LIDAR; SAMPLING; TIMBER;

FORESTS; INVENTORIES; REGRESSION ANALYSIS; SATELLITES;

BOLZANO; ITALY; TRENTINO-ALTO ADIGE;

EID: 84926323348     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2014-0408     Document Type: Article

References (44)

1. Abramo, E., Barilotti, A., and Sepic, F., 2007. Dalla dendrometria diametrica alla dendrometria ipsometrica: stima del volume degli alberi da rilievi laserscanning. [online] Forest, 4(4): 373–385. Available from http://www.sisef.it/ forest@/. [In Italian.]
2. Axelsson, P. 2000. DEM generation from laser scanner data using adaptive TIN models. International Archives of Photogrammetry and Remote Sensing, 33(B4/1): 110–117.
3. Barilotti, A., Turco, S., Napolitano, R., and Bressan, E. 2005. La tecnologia LiDAR per lo studio della biomassa negli ecosistemi forestali. 15 Congresso della Societa` Italiana di Ecologia, Torino. [In Italian.]
4. Bitterlich, W. 1984. The relascope idea. Relative measurements in forestry. CABI Publishing.
5. Clementel, F., Colle, G., Farruggia, C., Floris, A., Scrinzi, G., and Torresan, C. 2012. Estimating forest timber volume by means of “low cost” LiDAR data. Italian Journal of Remote Sensing, 44(1):125–140. doi:10.5721/ItJRS201244110.
6. Colle, G., Floris, A., Scrinzi, G., Tabacchi, G., and Cavini, L. 2009. The Italian National Forest Inventory: geographical and positioning aspects in relation to the different phases of the project. In Proceedings of the 8th annual forest inventory and analysis symposium, 16–19 October 2006, Monterey, California, U.S.A.
7. Corona, P., and Fattorini, L. 2008. Area-based lidar-assisted estimation of forest standing volume. Can. J. For. Res. 38(11): 2911–2916. doi:10.1139/X08-122.
8. Corona, P., Cartisano, R., Salvati, R., Chirici, G., Floris, A., Di Martino, P., Marchetti, M., Scrinzi, G., Clementel, F., Travaglini, D., and Torresan, C. 2012. Airborne laser scanning to support forest resource management under alpine, temperate and mediterranean environments in Italy. European Journal of Remote Sensing, 45: 27–37. doi:10.5721/EuJRS20124503.
9. Dalponte, M., Martinez, C., Rodeghiero, M., and Gianelle, D. 2011. The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas. ISPRS J. Photogramm. Remote Sens. 66: 787– 797. doi:10.1016/j.isprsjprs.2011.09.003.
10. Dubayah, R.O., and Drake, J.B. 2000. Lidar remote sensing for forestry. J. For. 98(6): 44–46.
11. Ferraz, A., Bretar, F., Jacquemoud, S., Gonçalves, G., Pereira, L., Tomé, M., and Soares, P. 2012. 3-D mapping of a multi-layered Mediterranean forest using ALS data. Remote Sens. Environ. 121: 210–223. doi:10.1016/j.rse.2012.01.020.
12. Floris, A., Clementel, F., Farruggia, C., and Scrinzi, G. 2010. Stima su base LiDAR delle provvigioni legnose forestali: uno studio per la Foresta di Paneveggio. Riv. Italiana di Telerilevamento, 42(3): 15–32. [In Italian.]
13. Freese, F. 1984. Statistics for land managers. Paeony Press, Scotland.
14. Gobakken, T., and Næsset, E. 2009. Assessing effects of sample plot positioning errors on biophysical stand properties derived from airborne laser scanner data. Can. J. For. Res. 39(5): 1036–1052. doi:10.1139/X09-025.
15. Gonçalves-Seco, L., Gonzalez-Ferreiro, E., Dieguez-Aranda, U., Fraga-Bugallo, B., Crecente, R., and Miranda, D. 2011. Assessing attributes of high density Eucalyptus globulus stands using airborne laser scanner data. Int. J. Remote Sens. 32: 9821–9841. doi:10.1080/01431161.2011.593583.
16. González-Ferreiro, E., Diéguez-Aranda, U., and Miranda, D. 2012. Estimation of stand variables in Pinus radiata D. Don plantations using different LIDAR pulse densities. Forestry, 85(2): 281–292. doi:10.1093/forestry/cps002.
17. Grundner, F., and Schwappach, A. 1952. Massentafeln zur Bestimmung des Holzgehaltes stehender Waldbäume und Bestände. Verlag Paul Parey, Berlin, Germany.
18. Hollaus, M., Wagner, W., Maier, B., and Schadauer, K. 2007. Airborne laser scanning of forest stem volume in a mountainous environment. Sensors, 7: 1559–1577. doi:10.3390/s7081559.
19. Hollaus, M., Wagner, W., Schadauer, K., Maier, B., and Gabler, K. 2009. Growing stock estimation for alpine forests in Austria: a robust lidar-based approach. Can. J. For. Res. 39(7): 1387–1400. doi:10.1139/X09-042.
20. Hyyppä, J., Hyyppä, H., Leckie, D., Gougeon, F., Yu, X., and Maltamo, M. 2008. Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests. Int. J. Remote Sens. 29: 1339–1366. doi:10.1080/01431160701736489.
21. Jochem, A., Hollaus, M., Rutzinger, M., and Höfle, B. 2011. Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data. Sensors, 11(1): 278–295. doi:10.3390/s110100278.
22. Kangas, A. 2006. Mensurational aspects. In Forest inventory—methodology and applications. Edited by A. Kangas and M. Maltamo. Springer. pp. 53–63.
23. Maltamo, M., Korhonen, K.T., Packalén, P., Mehtätalo, L., and Suvanto, A. 2007. Testing the usability of truncated angle count sample plots as ground truth in airborne laser scanning based forest inventories. Forestry, 80(1): 73–81. doi:10.1093/forestry/cpl045.
24. Matérn, B. 1969. Wie Groist die “Relaskop-Fläche”? Allg. Forstztg. 79. Jahrgang — Folge 2. [In German.]
25. Montaghi, A., Corona, P., Dalponte, M., Gianelle, D., Chirici, G., and Olsson, H. 2013. Airborne laser scanning of forest resources: an overview of research in Italy as a commentary case study. Int. J. Appl. Earth Obs. Geoinf. 23: 288–300. doi:10.1016/j.jag.2012.10.002.
26. Naesset, E. 2004. Practical large-scale forest stand inventory using smallfootprint airborne scanning laser. Scand. J. For. Res. 19: 164–179. doi:10.1080/ 02827580310019257.
27. Næsset, E., Gobakken, T., Holmgren, J., Hyyppä, H., Hyyppä, J., Maltamo, M., Nilsson, M., Olsson, H., Persson, Å., and Söderman, U. 2004. Laser scanning of forest resources: the Nordic experience. Scand. J. For. Res. 19: 482–499. doi: 10.1080/02827580410019553.
28. Nord-Larsen, T., and Schumacher, J. 2012. Estimation of forest resources from a country wide laser scanning survey and national forest inventory data. Remote Sens. Environ. 119: 148–157. doi:10.1016/j.rse.2011.12.022.
29. Packalén, P., and Maltamo, M. 2006. Predicting the plot volume by tree species using airborne laser scanning and aerial photographs. For. Sci. 52(6): 611–622.
30. Piqué, M., Obon, B., Condés, S., and Saura, S. 2011. Comparison of relascope and fixed-radius plots for the estimation of forest stand variables in northeast Spain: an inventory simulation approach. Eur. J. For. Res. 130: 851–859. doi: 10.1007/s10342-010-0477-x.
31. Renslow, M., Greenfield, P., and Guay, T. 2000. Evaluation of multi-return LIDAR for forestry applications. Report prepared for The Inventory and Monitoring Steering Committee, USDA Forest Service, San Dimas Technology and Development Center, California.
32. Scrinzi, G., Galvagni, D., and Marzullo, L. 2010. I nuovi modelli dendrometrici per la stima delle masse assestamentali in provincia di Trento. Provincia Autonoma di Trento, Servizio Foreste e Fauna. [In Italian.]
33. Scrinzi, G., Clementel, F., Colle, G., Corona, P., Floris, A., Maistrelli, F., Chirici, G., Mura, M., Oradini, A., Bertani, R., Barbati, A., Quatrini, A., and Marchetti, M. 2013. Impiego di dati LiDAR di pubblica disponibilita` per il monitoraggio forestale a grande e piccola scala: il progetto ITALID. Atti del IX Congresso Nazionale SISEF — Bolzano/Bozen, 16–19 Settembre 2013. [In Italian.]
34. Siipilehto, J. 1999. Improving the accuracy of predicted basal-area diameter distribution in advanced stands by determining stem number. Silva Fenn. 33(4): 281–301. doi:10.14214/sf.650.
35. Stephens, P.R., Kimberley, M.O., Beets, P.N., Paul, T.S.H., Searles, N., Bell, A., Brack, C., and Broadley, J. 2012. Airborne scanning LiDAR in a double sampling forest carbon inventory. Remote Sens. Environ. 117: 348–357. doi:10. 1016/j.rse.2011.10.009.
36. Tabacchi, G., Di Cosmo, L., and Gasparini, P. 2011. Aboveground tree volume and phytomass prediction equations for forest species in Italy. Eur. J. For. Res. 130: 911–934. doi:10.1007/s10342-011-0481-9.
37. Taylor, J.R. 1982. An introduction to error analysis: the study of uncertainties in physical measurements. University Science Books, Mill Valley, California.
38. Tinkham, W., Smith, A., Hoffman, C., Hudak, A., Falkowski, M., Swanson, M., and Gessler, P. 2012. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories. Can. J. For. Res. 42(3): 413–422. doi:10.1139/x11-193.
39. Tomppo, E. 2006. The Finnish National Forest Inventory. In Forest inventory — methodology and applications. Edited by A. Kangas and M. Maltamo. Springer. pp. 179–194
40. Tonolli, S., Dalponte, M., Vescovo, L., Rodeghiero, M., Bruzzone, L., and Gianelle, D. 2011. Mapping and modeling forest tree volume using forest inventory and airborne laser scanning. Eur. J. For. Res. 130: 569–577. doi:10.1007/s10342-010-0445-5.
41. Vosselman, G. 2003. Filtering of laser altimetry data. In — La tecnica del laser scanning. Teoria ed applicazioni. Edited by F. Crosilla and R. Galetto. CISM, Collana di Geodesia e Cartografia. pp. 101–111.
42. Witten, I.H., and Frank, E. 2005. Data mining: practical machine learning tools and techniques. 2nd edition. Morgan Kaufmann, San Francisco, California.
43. Wulder, M.A., Bater, C.W., Coops, N.C., Hilker, T., and White, J.C. 2008. The role of LiDAR in sustainable forest management. For. Chron. 84(6): 807–826. doi: 10.5558/tfc84807-6.
44. Wulder, M.A., White, J.C., Nelson, R.F., Næsset, E., Ørka, H.O., Coops, N.C., Hilker, T., Bater, C.W., and Gobakken, T. 2012. Lidar sampling for large-area forest characterization: a review. Remote Sens. Environ. 121: 196–209.doi:10. 1016/j.rse.2012.02.001.