Hierarchical integration of individual tree and area-based approaches for savanna biomass uncertainty estimation from airborne LiDAR

Remote Sensing of Environment

Volumn 205, Issue , 2018, Pages 141-150

  Goldbergs, Grigorijs ^a   Levick, Shaun R ^a,b,c   Lawes, Michael ^a   Edwards, Andrew ^a  

^a CHARLES DARWIN UNIVERSITY   (Australia)

^b MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^c CSIRO   (Australia)

Author keywords

Biomass; Carbon; LiDAR; Savanna; Tropics

Indexed keywords

CARBON; FORESTRY; OPTICAL RADAR; REMOTE SENSING; TREES (MATHEMATICS); UNCERTAINTY ANALYSIS;

ABOVE GROUNDS; AREA-BASED; BIOMASS ESTIMATION; CARBON STOCKS; INDIVIDUAL TREE; INDIVIDUAL TREE DETECTIONS; LIDAR; SAVANNA; TREE BIOMASS; UNCERTAINTY;

BIOMASS;

ALLOMETRY; BIOMASS; CARBON CYCLE; CARBON SINK; LIDAR; REMOTE SENSING; SAVANNA; UNCERTAINTY ANALYSIS;

EID: 85034836985     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.11.010     Document Type: Article

References (60)

1. Asner, G.P., Mascaro, J., Mapping tropical forest carbon: calibrating plot estimates to a simple LiDAR metric. Remote Sens. Environ. 140 (2014), 614–624.
2. Asner, G.P., Flint Hughes, R., Varga, T.A., Knapp, D.E., Kennedy-Bowdoin, T., Environmental and biotic controls over aboveground biomass throughout a tropical rain Forest. Ecosystems 12 (2008), 261–278.
3. Barbati, A., Chirici, G., Corona, P., Montaghi, A., Travaglini, D., Area-based assessment of forest standing volume by field measurements and airborne laser scanner data. Int. J. Remote Sens. 30 (2009), 5177–5194.
4. Beringer, J., Hacker, J., Hutley, L.B., Leuning, R., Arndt, S.K., Amiri, R., Bannehr, L., Cernusak, L.A., Grover, S., Hensley, C., Hocking, D., Isaac, P., Jamali, H., Kanniah, K., Livesley, S., Neininger, B., Paw, U.K.T., Sea, W., Straten, D., Tapper, N., Weinmann, R., Wood, S., Zegelin, S., SPECIAL—savanna patterns of energy and carbon integrated across the landscape. Bull. Am. Meteorol. Soc. 92 (2011), 1467–1485.
5. Beringer, J., Hutley, L.B., Abramson, D., Arndt, S.K., Briggs, P., Bristow, M., Canadell, J.G., Cernusak, L.A., Eamus, D., Edwards, A.C., Evans, B.J., Fest, B., Goergen, K., Grover, S.P., Hacker, J., Haverd, V., Kanniah, K., Livesley, S.J., Lynch, A., Maier, S., Moore, C., Raupach, M., Russell-Smith, J., Scheiter, S., Tapper, N.J., Uotila, P., Fire in Australian savannas: from leaf to landscape. Glob. Chang. Biol. 21 (2015), 62–81.
6. Breidenbach, J., Næsset, E., Lien, V., Gobakken, T., Solberg, S., Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data. Remote Sens. Environ. 114 (2010), 911–924.
7. Chave, J., Condit, R., Aguilar, S., Hernandez, A., Lao, S., Perez, R., Error Propagation and Scaling for Tropical Forest Biomass Estimates. 2004, 409–420.
8. Chen, X., Carbon Balance of a Eucalypt Open Forest Savanna of Northern Australia. 2002, Northern Territory University.
9. Collins, J.N., Hutley, L.B., Williams, R.J., Boggs, G., Bell, D., Bartolo, R., Estimating landscape-scale vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia. Int. J. Remote Sens. 30 (2009), 1141–1159.
10. Duncanson, L.I., Cook, B.D., Hurtt, G.C., Dubayah, R.O., An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystems. Remote Sens. Environ. 154 (2014), 378–386.
11. Ediriweera, S., Pathirana, S., Danaher, T., Nichols, D., Estimating above-ground biomass by fusion of LiDAR and multispectral data in subtropical woody plant communities in topographically complex terrain in North-eastern Australia. J. For. Res. 25 (2014), 761–771.
12. Edson, C., Wing, M.G., Airborne light detection and ranging (LiDAR) for individual tree stem location, height, and biomass measurements. Remote Sens. 3 (2011), 2494–2528.
13. Ferraz, A., Bretar, F., Jacquemoud, S., Gonçalves, G., Pereira, L., Tomé, M., Soares, P., 3-D mapping of a multi-layered Mediterranean forest using ALS data. Remote Sens. Environ. 121 (2012), 210–223.
14. Ferraz, A., Saatchi, S., Mallet, C., Jacquemoud, S., Gonçalves, G., Silva, C., Soares, P., Tomé, M., Pereira, L., Airborne Lidar estimation of aboveground forest biomass in the absence of field inventory. Remote Sens., 8, 2016, 653.
15. Ferraz, A., Saatchi, S., Mallet, C., Meyer, V., Lidar detection of individual tree size in tropical forests. Remote Sens. Environ. 183 (2016), 318–333.
16. Frazer, G.W., Magnussen, S., Wulder, M.A., Niemann, K.O., Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass. Remote Sens. Environ. 115 (2011), 636–649.
17. Isenburg, M., “LAStools - efficient LiDAR processing software” (version 141017, unlicensed). obtained from http://rapidlasso.com/LAStools, 2014.
18. Gobakken, T., Næsset, E., Assessing effects of positioning errors and sample plot size on biophysical stand properties derived from airborne laser scanner data. Can. J. For. Res. 39 (2009), 1036–1052.
19. Goutte, C., Gaussier, E., A probabilistic interpretation of precision, recall and F-score, with implication for evaluation. ECIR, 2005, Springer, 345–359.
20. Grace, J., San José, José, Meir, P., Miranda, H.S., Montes, R.A., Productivity and carbon fluxes of tropical savannas. J. Biogeogr. 33 (2006), 387–400.
21. Harrell, P.A., Kasischke, E.S., Bourgeau-Chavez, L.L., Haney, E.M., Christensen, N.L., Evaluation of approaches to estimating aboveground biomass in southern pine forests using SIR-C data. Remote Sens. Environ. 59 (1997), 223–233.
22. Jakubowski, M.K., Guo, Q., Kelly, M., Tradeoffs between Lidar pulse density and forest measurement accuracy. Remote Sens. Environ. 130 (2013), 245–253.
23. Kaartinen, H., Hyyppä, J., Yu, X., Vastaranta, M., Hyyppä, H., Kukko, A., Holopainen, M., Heipke, C., Hirschmugl, M., Morsdorf, F., An international comparison of individual tree detection and extraction using airborne laser scanning. Remote Sens. 4 (2012), 950–974.
24. Kandare, K., Orka, H.O., Chan, J.C.-W., Dalponte, M., Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns. Eur. J. Remote Sens. 49 (2016), 337–359.
25. Kandel, Y.P., Fox, J.C., Arndt, S.K., Livesley, S.J., LiDAR estimation of mean dominant height, quadratic mean canopy height and stem density in native sclerophyll forests. Proceedings of SilviLaser, Hobart, Tasmania, Australia, Conference Secretariat, 2011.
26. Landsberg, J., Gillieson, D., Salt, D., Trees in Savanna Landscapes: Finding the Balance. 2011.
27. Lee, A.C., Lucas, R.M., A LiDAR-derived canopy density model for tree stem and crown mapping in Australian forests. Remote Sens. Environ. 111 (2007), 493–518.
28. Lefsky, M.A., Harding, D., Cohen, W.B., Parker, G., Shugart, H.H., Surface Lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. Remote Sens. Environ. 67 (1999), 83–98.
29. Lefsky, M.A., Cohen, W.B., Harding, D.J., Parker, G.G., Acker, S.A., Gower, S.T., Lidar remote sensing of above-ground biomass in three biomes. Glob. Ecol. Biogeogr. 11 (2002), 393–399.
30. Lehmann, C.E.R., Anderson, T.M., Sankaran, M., Higgins, S.I., Archibald, S., Hoffmann, W.A., Hanan, N.P., Williams, R.J., Fensham, R.J., Felfili, J., Hutley, L.B., Ratnam, J., San Jose, J., Montes, R., Franklin, D., Russell-Smith, J., Ryan, C.M., Durigan, G., Hiernaux, P., Haidar, R., Bowman, D.M.J.S., Bond, W.J., Savanna vegetation-fire-climate relationships differ among continents. Science 343 (2014), 548–552.
31. Levick, S.R., Hessenmöller, D., Schulze, E.-D., Scaling wood volume estimates from inventory plots to landscapes with airborne LiDAR in temperate deciduous forest. Carbon Balance Manag. 11 (2016), 1–14.
32. Li, W., Guo, Q., Jakubowski, M.K., Kelly, M., A new method for segmenting individual trees from the Lidar point cloud. Photogramm. Eng. Remote Sens. 78 (2012), 75–84.
33. Lindberg, E., Holmgren, J., Olofsson, K., Wallerman, J., Olsson, H., Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods. Int. J. Remote Sens. 31 (2010), 1175–1192.
34. Lucas, R.M., Lee, A.C., Bunting, P.J., Retrieving forest biomass through integration of CASI and LiDAR data. Int. J. Remote Sens. 29 (2008), 1553–1577.
35. Maltamo, M., Mustonen, K., Hyyppä, J., Pitkänen, J., Yu, X., The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve. Can. J. For. Res. 34 (2004), 1791–1801.
36. Maltamo, M., Næsset, E., Vauhkonen, J., Forestry Applications of Airborne Laser Scanning Concepts and Case Studies. 2014, Springer.
37. Mascaro, J., Detto, M., Asner, G.P., Muller-Landau, H.C., Evaluating uncertainty in mapping forest carbon with airborne LiDAR. Remote Sens. Environ. 115 (2011), 3770–3774.
38. McGaughey, R.J., FUSION/LDV: Software for LIDAR Data Analysis and Visualization - Version 3.50. 2015, US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Seattle, WA, USA.
39. Miura, N., Jones, S.D., Characterizing forest ecological structure using pulse types and heights of airborne laser scanning. Remote Sens. Environ. 114 (2010), 1069–1076.
40. Næsset, E., Gobakken, T., Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser. Remote Sens. Environ. 112 (2008), 3079–3090.
41. Næsset, E., Økland, T., Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve. Remote Sens. Environ. 79 (2002), 105–115.
42. O'Grady, A.P., Chen, X., Eamus, D., Hutley, L.B., Composition, leaf area index and standing biomass of eucalypt open forests near Darwin in the Northern Territory, Australia. Aust. J. Bot. 48 (2000), 629–638.
43. Popescu, S.C., Wynne, R.H., Nelson, R.F., Estimating plot-level tree heights with Lidar: local filtering with a canopy-height based variable window size. Comput. Electron. Agric. 37 (2002), 71–95.
44. Reitberger, J., Schnörr, C., Krzystek, P., Stilla, U., 3D segmentation of single trees exploiting full waveform LIDAR data. ISPRS J. Photogramm. Remote Sens. 64 (2009), 561–574.
45. Rombouts, J., Ferguson, I.S., Leech, J.W., Campaign and site effects in LiDAR prediction models for site-quality assessment of radiata pine plantations in South Australia. Int. J. Remote Sens. 31 (2010), 1155–1173.
46. Saugier, B., Roy, J., Mooney, H.A., Estimations of Global Terrestrial Productivity-23: Converging Toward a Single Number?. 2001.
47. Shendryk, I., Broich, M., Tulbure, M.G., Alexandrov, S.V., Bottom-up delineation of individual trees from full-waveform airborne laser scans in a structurally complex eucalypt forest. Remote Sens. Environ. 173 (2016), 69–83.
48. Stibig, H.J., Beuchle, R., Achard, F., Mapping of the tropical forest cover of insular Southeast Asia from SPOT4-vegetation images. Int. J. Remote Sens. 24 (2003), 3651–3662.
49. TERN, Litchfield Savanna SuperSite. 2012.
50. Thomas, V., Treitz, P., McCaughey, J.H., Morrison, I., Mapping stand-level forest biophysical variables for a mixedwood boreal forest using Lidar: an examination of scanning density. Can. J. For. Res., 36, 2006, 34.
51. Tickle, P.K., Lee, A., Lucas, R.M., Austin, J., Witte, C., Quantifying Australian forest floristics and structure using small footprint LiDAR and large scale aerial photography. For. Ecol. Manag. 223 (2006), 379–394.
52. Turner, R.S., An airborne Lidar canopy segmentation approach for estimating above-ground biomass in coastal eucalypt forests. PhD diss. 2006, University of New South Wales.
53. Valbuena, R., Mauro, F., Arjonilla, F.J., Manzanera, J.A., Comparing airborne laser scanning-imagery fusion methods based on geometric accuracy in forested areas. Remote Sens. Environ. 115 (2011), 1942–1954.
54. Vastaranta, M., Holopainen, M., Yu, X., Haapanen, R., Melkas, T., Hyyppä, J., Hyyppä, H., Individual tree detection and area-based approach in retrieval of forest inventory characteristics from low-pulse airborne laser scanning data. Photogrammetric J. Finland 22 (2011), 1–13.
55. Vastaranta, M., Kankare, V., Holopainen, M., Yu, X., Hyyppä, J., Hyyppä, H., Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data. ISPRS J. Photogramm. Remote Sens. 67 (2012), 73–79.
56. Vauhkonen, J., Ene, L., Gupta, S., Heinzel, J., Holmgren, J., Pitkänen, J., Solberg, S., Wang, Y., Weinacker, H., Hauglin, K.M., Comparative testing of single-tree detection algorithms under different types of forest. Forestry, 2011, cpr051.
57. Werner, P.A., Murphy, P.G., Size-specific biomass allocation and water content of above- and below-ground components of three Eucalyptus species in a northern Australian savanna. Aust. J. Bot. 49 (2001), 155–167.
58. Williams, R., Hutley, L.B., Cook, G.D., Russell-Smith, J., Edwards, A., Chen, X., Assessing the carbon sequestration potential of mesic savannas in the Northern Territory, Australia: approaches, uncertainties and potential impacts of fire. Funct. Plant Biol. 31 (2004), 415–422.
59. Williams, R.J., Zerihun, A., Montagu, K.D., Hoffman, M., Hutley, L.B., Chen, X., Allometry for estimating aboveground tree biomass in tropical and subtropical eucalypt woodlands: towards general predictive equations. Aust. J. Bot. 53 (2005), 607–619.
60. Yu, X., Hyyppä, J., Holopainen, M., Vastaranta, M., Comparison of area-based and individual tree-based methods for predicting plot-level forest attributes. Remote Sens., 2, 2010, 1481.