Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters

Optics Express

Volumn 24, Issue 11, 2016, Pages 11578-11593

  Luo, Shezhou ^a,b   Chen, Jing M ^b   Wang, Cheng ^a   Xi, Xiaohuan ^a   Zeng, Hongcheng ^b   Peng, Dailiang ^a   Li, Dong ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; BIOPHYSICS; CROPS; DATA ACQUISITION; ECOSYSTEMS; ESTIMATION; OPTICAL RADAR; VEGETATION;

ABOVE GROUND BIOMASS; BIOMASS ESTIMATION; BIOPHYSICAL PARAMETERS; COMPREHENSIVE RESEARCH; ESTIMATION RESULTS; HEALTH MONITORING; LIDAR DATA ACQUISITIONS; LIGHT DETECTION AND RANGING;

PARAMETER ESTIMATION;

BIOMASS; BIOPHYSICS; LIGHT; PLANT LEAF; PROCEDURES; REMOTE SENSING; TREE;

BIOMASS; BIOPHYSICS; LIGHT; PLANT LEAVES; REMOTE SENSING TECHNOLOGY; TREES;

EID: 84974559732     PISSN: None     EISSN: 10944087     Source Type: Journal    
DOI: 10.1364/OE.24.011578     Document Type: Article

References (63)

1. A. A. Gitelson, A. Viña, T. J. Arkebauer, D. C. Rundquist, G. Keydan, and B. Leavitt, "Remote estimation of leaf area index and green leaf biomass in maize canopies," Geophys. Res. Lett. 30(5), 1248 (2003).
2. M. Chopping, G. G. Moisen, L. Su, A. Laliberte, A. Rango, J. V. Martonchik, and D. P. C. Peters, "Large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA multiangle imaging spectro-radiometer," Remote Sens. Environ. 112(5), 2051-2063 (2008).
3. J. Heiskanen, "Estimating aboveground tree biomass and leaf area index in a mountain birch forest using ASTER satellite data," Int. J. Remote Sens. 27(6), 1135-1158 (2006).
4. L. Chasmer, C. Hopkinson, P. Treitz, H. McCaughey, A. Barr, and A. Black, "A lidar-based hierarchical approach for assessing MODIS fPAR," Remote Sens. Environ. 112(12), 4344-4357 (2008).
5. I. Jonckheere, S. Fleck, K. Nackaerts, B. Muys, P. Coppin, M. Weiss, and F. Baret, "Review of methods for in situ leaf area index determination. Part I. Theories, sensors and hemispherical photography," Agric. For. Meteorol. 121(1-2), 19-35 (2004).
6. Q. Chen, G. Vaglio Laurin, J. J. Battles, and D. Saah, "Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass," Remote Sens. Environ. 121, 108-117 (2012).
7. J. M. Chen and T. A. Black, "Measuring leaf area index of plant canopies with branch architecture," Agric. For. Meteorol. 57(1-3), 1-12 (1991).
8. J. M. Chen, A. Govind, O. Sonnentag, Y. Zhang, A. Barr, and B. Amiro, "Leaf area index measurements at Fluxnet-Canada forest sites," Agric. For. Meteorol. 140(1-4), 257-268 (2006).
9. S. C. Popescu, K. Zhao, A. Neuenschwander, and C. Lin, "Satellite lidar vs. small footprint airborne lidar: Comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level," Remote Sens. Environ. 115(11), 2786-2797 (2011).
10. J. B. Drake, R. G. Knox, R. O. Dubayah, D. B. Clark, R. Condit, J. B. Blair, and M. Hofton, "Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships," Glob. Ecol. Biogeogr. 12(2), 147-159 (2003).
11. M. A. Lefsky, D. P. Turner, M. Guzy, and W. B. Cohen, "Combining lidar estimates of aboveground biomass and Landsat estimates of stand age for spatially extensive validation of modeled forest productivity," Remote Sens. Environ. 95(4), 549-558 (2005).
12. R. W. Kulawardhana, S. C. Popescu, and R. A. Feagin, "Fusion of lidar and multispectral data to quantify salt marsh carbon stocks," Remote Sens. Environ. 154, 345-357 (2014).
13. N. Zhang, M. Wang, and N. Wang, "Precision agriculture-a worldwide overview," Comput. Electron. Agric. 36(2-3), 113-132 (2002).
14. S. Englhart, V. Keuck, and F. Siegert, "Aboveground biomass retrieval in tropical forests - the potential of combined X- and L-band SAR data use," Remote Sens. Environ. 115(5), 1260-1271 (2011).
15. A. Peduzzi, R. H. Wynne, T. R. Fox, R. F. Nelson, and V. A. Thomas, "Estimating leaf area index in intensively managed pine plantations using airborne laser scanner data," For. Ecol. Manage. 270, 54-65 (2012).
16. P. Hyde, R. Dubayah, B. Peterson, J. Blair, M. Hofton, C. Hunsaker, R. Knox, and W. Walker, "Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems," Remote Sens. Environ. 96(3-4), 427-437 (2005).
17. F. Zhao, Q. Guo, and M. Kelly, "Allometric equation choice impacts lidar-based forest biomass estimates: a case study from the Sierra National Forest, CA," Agric. For. Meteorol. 165, 64-72 (2012).
18. J. M. Chen and J. Cihlar, "Retrieving leaf area index of boreal conifer forests using Landsat TM images," Remote Sens. Environ. 55(2), 153-162 (1996).
19. C. Atzberger, "Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs," Remote Sens. 5(2), 949-981 (2013).
20. G. M. Foody, D. S. Boyd, and M. E. J. Cutler, "Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions," Remote Sens. Environ. 85(4), 463-474 (2003).
21. A. C. Morel, S. S. Saatchi, Y. Malhi, N. J. Berry, L. Banin, D. Burslem, R. Nilus, and R. C. Ong, "Estimating aboveground biomass in forest and oil palm plantation in Sabah, Malaysian Borneo using ALOS PALSAR data," For. Ecol. Manage. 262(9), 1786-1798 (2011).
22. S. Gao, Z. Niu, N. Huang, and X. Hou, "Estimating the leaf area index, height and biomass of maize using HJ-1 and RADARSAT-2," Int. J. Appl. Earth Obs. Geoinf. 24, 1-8 (2013).
23. J. J. Richardson, L. M. Moskal, and S.-H. Kim, "Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR," Agric. For. Meteorol. 149(6-7), 1152-1160 (2009).
24. S. Luo, C. Wang, X. Xi, S. Nie, S. Xia, and W. Yiping, "Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image," J. Inf. Millim. Waves 34(2), 243-249 (2015).
25. Y. Qin, S. Li, T.-T. Vu, Z. Niu, and Y. Ban, "Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping," Opt. Express 23(11), 13761-13775 (2015).
26. V. Kankare, M. Vastaranta, M. Holopainen, M. Räty, X. Yu, J. Hyyppä, H. Hyyppä, P. Alho, and R. Viitala, "Retrieval of forest aboveground biomass and stem volume with airborne scanning LiDAR," Remote Sens. 5(5), 2257-2274 (2013).
27. T. Hakala, J. Suomalainen, S. Kaasalainen, and Y. Chen, "Full waveform hyperspectral LiDAR for terrestrial laser scanning," Opt. Express 20(7), 7119-7127 (2012)
28. K. Zhao and S. Popescu, "Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA," Remote Sens. Environ. 113(8), 1628-1645 (2009).
29. D. Riaño, F. Valladares, S. Condés, and E. Chuvieco, "Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests," Agric. For. Meteorol. 124(3-4), 269-275 (2004).
30. J. Jensen, K. Humes, L. Vierling, and A. Hudak, "Discrete return lidar-based prediction of leaf area index in two conifer forests," Remote Sens. Environ. 112(10), 3947-3957 (2008).
31. S. Solberg, "Mapping gap fraction, LAI and defoliation using various ALS penetration variables," Int. J. Remote Sens. 31(5), 1227-1244 (2010).
32. G. Pope and P. Treitz, "Leaf area index (LAI) Estimation in boreal mixedwood forest of Ontario, Canada using light detection and ranging (LiDAR) and worldview-2 imagery," Remote Sens. 5(10), 5040-5063 (2013).
33. N. F. Glenn, L. P. Spaete, T. T. Sankey, D. R. Derryberry, S. P. Hardegree, and J. J. Mitchell, "Errors in LiDARderived shrub height and crown area on sloped terrain," J. Arid Environ. 75(4), 377-382 (2011).
34. C. Edson and M. G. Wing, "Airborne light detection and ranging (LiDAR) for individual tree stem location, height, and biomass measurements," Remote Sens. 3(12), 2494-2528 (2011).
35. G. W. Frazer, S. Magnussen, M. A. Wulder, and K. O. Niemann, "Simulated impact of sample plot size and coregistration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass," Remote Sens. Environ. 115(2), 636-649 (2011).
36. O. W. Tsui, N. C. Coops, M. A. Wulder, P. L. Marshall, and A. McCardle, "Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest," ISPRS J. Photogramm. Remote Sens. 69, 121-133 (2012).
37. J. U. H. Eitel, T. S. Magney, L. A. Vierling, T. T. Brown, and D. R. Huggins, "LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status," Field Crops Res. 159, 21-32 (2014).
38. L. Zhang and T. E. Grift, "A LIDAR-based crop height measurement system for Miscanthus giganteus," Comput. Electron. Agric. 85, 70-76 (2012).
39. N. Tilly, D. Hoffmeister, Q. Cao, S. Huang, V. Lenz-Wiedemann, Y. Miao, and G. Bareth, "Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice," J. Appl. Remote Sens. 8(1), 083671 (2014).
40. I. J. Davenport, R. B. Bradbury, G. Q. A. Anderson, G. R. F. Hayman, J. R. Krebs, D. C. Mason, J. D. Wilson, and N. J. Veck, "Improving bird population models using airborne remote sensing," Int. J. Remote Sens. 21(13-14), 2705-2717 (2000).
41. W. Li, Z. Niu, N. Huang, C. Wang, S. Gao, and C. Wu, "Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China," Ecol. Indic. 57, 486-496 (2015).
42. C. Wang, M. Menenti, M. P. Stoll, A. Feola, E. Belluco, and M. Marani, "Separation of ground and low vegetation signatures in LiDAR measurements of salt-marsh environments," IEEE Trans. Geosci. Rem. Sens. 47(7), 2014-2023 (2009).
43. C. Hopkinson, L. E. Chasmer, G. Sass, I. F. Creed, M. Sitar, W. Kalbfleisch, and P. Treitz, "Vegetation class dependent errors in lidar ground elevation and canopy height estimates in a boreal wetland environment," Can. J. Rem. Sens. 31(2), 191-206 (2005).
44. M. K. Jakubowski, Q. Guo, and M. Kelly, "Tradeoffs between lidar pulse density and forest measurement accuracy," Remote Sens. Environ. 130, 245-253 (2013).
45. M. Watt, A. Meredith, P. Watt, and A. Gunn, "The influence of LiDAR pulse density on the precision of inventory metrics in young unthinned Douglas-fir stands during initial and subsequent LiDAR acquisitions," N. Z. J. For. Sci. 44(1), 1-9 (2014).
46. L. Ruiz, T. Hermosilla, F. Mauro, and M. Godino, "Analysis of the influence of plot size and LiDAR density on forest structure attribute estimates," Forests 5(5), 936-951 (2014).
47. T. Gobakken and E. Næsset, "Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data," Can. J. For. Res. 38(5), 1095-1109 (2008).
48. M. Magnusson, J. E. S. Fransson, and J. Holmgren, "Effects on estimation accuracy of forest variables using different pulse density of laser data," For. Sci. 53(6), 619-626 (2007).
49. J. Strunk, H. Temesgen, H.-E. Andersen, J. P. Flewelling, and L. Madsen, "Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables," Can. J. Rem. Sens. 38(5), 644-654 (2012).
50. P. Wilkes, S. D. Jones, L. Suarez, A. Haywood, W. Woodgate, M. Soto-Berelov, A. Mellor, and A. K. Skidmore, "Understanding the effects of ALS pulse density for metric retrieval across diverse forest types," Photogramm. Eng. Remote Sensing 81(8), 625-635 (2015).
51. Singh K. K., Chen G., McCarter J. B., Meentemeyer R. K., Effects of LiDAR point density and landscape context on estimates of urban forest biomass," ISPRS J. Photogramm. Remote Sens. 101, 310-322 (2015).
52. J. Estornell, L. A. Ruiz, B. Velázquez-Martí, and A. Fernández-Sarría, "Estimation of shrub biomass by airborne LiDAR data in small forest stands," For. Ecol. Manage. 262(9), 1697-1703 (2011)
53. X. Li, G. Cheng, S. Liu, Q. Xiao, M. Ma, R. Jin, T. Che, Q. Liu, W. Wang, Y. Qi, J. Wen, H. Li, G. Zhu, J. Guo, Y. Ran, S. Wang, Z. Zhu, J. Zhou, X. Hu, and Z. Xu, "Heihe watershed allied telemetry experimental research (HiWATER): scientific objectives and experimental design," Bull. Am. Meteorol. Soc. 94(8), 1145-1160 (2013).
54. Q. Xiao and J. Wen, "HiWATER: Airborne LiDAR-DEM&DSM data production in the middle reaches of the Heihe River Basin," (Heihe Plan Science Data Center, 2013).
55. S. Luo, C. Wang, X. Xi, and F. Pan, "Estimating FPAR of maize canopy using airborne discrete-return LiDAR data," Opt. Express 22(5), 5106-5117 (2014).
56. A. Jochem, M. Hollaus, M. Rutzinger, and B. Höfle, "Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data," Sensors 11(1), 278-295 (2010).
57. S. Luo, C. Wang, F. Pan, X. Xi, G. Li, S. Nie, and S. Xia, "Estimation of wetland vegetation height and leaf area index using airborne laser scanning data," Ecol. Indic. 48, 550-559 (2015).
58. E. Næsset and T. Gobakken, "Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser," Remote Sens. Environ. 112(6), 3079-3090 (2008).
59. J. Chen, S. Gu, M. Shen, Y. Tang, and B. Matsushita, "Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data," Int. J. Remote Sens. 30(24), 6497-6517 (2009).
60. G. W. Sileshi, "A critical review of forest biomass estimation models, common mistakes and corrective measures," For. Ecol. Manage. 329, 237-254 (2014).
61. E. Luedeling and A. Gassner, "Partial least squares regression for analyzing walnut phenology in California," Agric. For. Meteorol. 158-159, 43-52 (2012).
62. S. Wold, M. Sjöström, and L. Eriksson, "PLS-regression: a basic tool of chemometrics," Chemom. Intell. Lab. Syst. 58(2), 109-130 (2001).
63. J. Anderson, L. Plourde, M. Martin, B. Braswell, M. Smith, R. Dubayah, M. Hofton, and J. Blair, "Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest," Remote Sens. Environ. 112(4), 1856-1870 (2008).