Estimation of Individual Tree Health Condition for Japanese Mountain Cherry (Cerasus jamasakura) Using Airborne LiDAR

LITERATURE CITED

1. ↵
   1. Chen, J.M., and
   2. J. Cihlar

   . 1996. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote sensing of Environment 55: 153–162.

   OpenUrlCrossRef
2. ↵
   1. Ferretti, M.

   1997. Forest health assessment and monitoring—issues for consideration. Environmental monitoring and assessment 48: 45–72.

   OpenUrlCrossRefWeb of Science
3. ↵
   1. Geospatial Information Authority of Japan

   . 2006. Digital elevation model (DEM) creating manual from airborne laser data (draft). Geospatial Information Authority A1, No. 310. Accessed 03/10/2017. <http://psgsv2.gsi.go.jp/koukyou/download/re-za/310kouku.pdf> (in Japanese).
4. ↵
   1. Griffith, K.T.,
   2. A.G. Ponette-González,
   3. L.M. Curran, and
   4. K.C. Weathers

   . 2015. Assessing the influence of topography and canopy structure on Douglas fir throughfall with LiDAR and empirical data in the Santa Cruz mountains, USA. Environmental Monitoring and Assessment 187: 1–13.

   OpenUrlCrossRef
5. ↵
   1. Hasegawa, S.,
   2. M. Tabata,
   3. T. Kozawa, and
   4. Y. Sato

   . 1984. Relationship between physicality of soil and tree vigour in planting area marked by heavy construction machine. An example of high way planting area. Journal of the Japanese Institute of Landscape Architects 48: 104–122 (In Japanese with English abstract).

   OpenUrl
6. ↵
   1. Maarel,
   2. E. van der

   1. Hill, M.O., and
   2. H.G. Gauch

   . 1980. Detrended correspondence analysis: an improved ordination technique. pp. 47–58. In: Maarel, E. van der (Ed.). Classification and ordination. Springer, Dordrecht, Netherlands.
7. ↵
   1. Holmgren, J.,
   2. Å. Persson, and
   3. U. Söderman

   . 2008. Species identification of individual trees by combining high resolution LiDAR data with multispectral images. International Journal of Remote Sensing 29: 1537–1552.

   OpenUrl
8. ↵
   1. Hopkinson, C. and
   2. L. Chasmer

   . 2009. Testing LiDAR models of fractional cover across multiple forest ecozones. Remote Sensing of Environment 113: 275–288.

   OpenUrl
9. ↵
   1. Iida, Y.,
   2. J. Imanishi, and
   3. Y. Morimoto

   . 2013. Variation distribution of budburst phenology of Japanese mountain cherry (Cerasus jamasakura [Siebold ex Koidz.] H. Ohba var. jamasakura) and its applicability. Journal of the Japanese Society of Revegetation Technology 39: 98–102 (In Japanese with English abstract).

   OpenUrl
10. ↵
    1. Imanishi, J.,
    2. H. Kim,
    3. Y. Iida,
    4. H. Okugawa,
    5. Y. Morimoto,
    6. K. Yamanaka, and
    7. T. Kojima

    . 2012. Effect of sunlight condition determined by terrain on tree health of Japanese mountain cherry (Cerasus jamasakura [Siebold ex Koidz.] H. Ohba var. jamasakura) in Yoshinoyama, Nara Prefecture, Japan. Journal of the Japanese Society of Revegetation Technology 38: 15–20 (In Japanese with English abstract).

    OpenUrl
11. ↵
    1. Imanishi, J.,
    2. H. Okugawa,
    3. K. Hyunjun,
    4. Y. Iida,
    5. Y. Morimoto,
    6. K. Yamanaka, and
    7. T. Kojima

    . 2011. Tree health assessment of Cerasus species during the flowering season: a case study of Japanese mountain cherry (Cerasus jamasakura [Siebold ex Koidz.] H. Ohba var. jamasakura) in Yoshinoyama, Nara Prefecture, Japan. Journal of the Japanese Society of Revegetation Technology 37: 9–14 (In Japanese with English abstract).

    OpenUrl
12. ↵
    1. Imanishi, J.,
    2. Y. Song,
    3. T. Sasaki,
    4. Y. Iida,
    5. Y. Morimoto, and
    6. T. Kojima

    . 2016. Large-scale survey of flowering cherry trees using airborne LiDAR. Proceedings of Archi–Cultural Interactions through the Silk Road 4th International Conference, 149–152.
13. ↵
    1. Korhonen, L.,
    2. I. Korpela,
    3. J. Heiskanen, and
    4. M. Maltamo

    . 2011. Airborne discrete-return LiDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index. Remote Sensing of Environment 115: 1065–1080.

    OpenUrl
14. 1. Kozawa, T., and
    2. T. Kobayashi

    . 1998. The objective evaluation method of the tree vigor with the stem temperature.—The development of a plant vigor measuring instrument—. Journal of Japan Society of Civil Engineers. 622: 81–86 (In Japanese with English abstract).

    OpenUrl
15. ↵
    1. Lefsky, M.A.,
    2. W.B. Cohen,
    3. G.G. Parker, and
    4. D.J. Harding

    . 2002. LiDAR remote sensing for ecosystem studies. BioScience 52: 19–30.

    OpenUrlCrossRefPubMedWeb of Science
16. ↵
    1. Lim, K.,
    2. P. Treitz,
    3. M. Wulder,
    4. B. St-Onge, and
    5. M. Flood

    . 2003. LiDAR remote sensing of forest structure. Progress in Physical Geography 27: 88–106.

    OpenUrlCrossRefWeb of Science
17. ↵
    1. Long, R. P.,
    2. S.B. Horsley, and
    3. P.R. Lilja

    . 1997. Impact of forest liming on growth and crown vigor of sugar maple and associated hardwoods. Canadian Journal of Forest Research 27: 1560–1573.

    OpenUrl
18. ↵
    1. Maltamo, M.,
    2. K. Eerikäinen,
    3. J. Pitkänen,
    4. J. Hyyppä, and
    5. M. Vehmas

    . 2004. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions. Remote Sensing of Environment 90: 319–330.

    OpenUrl
19. ↵
    1. Michez, A.,
    2. H. Piégay,
    3. J. Lisein,
    4. H. Claessens, and
    5. P. Lejeune

    . 2016. Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system. Environmental Monitoring and Assessment 188: 1–19.

    OpenUrlCrossRef
20. ↵
    1. Mizoue, N., and
    2. M. Dobbertin

    . 2003. Detecting differences in crown transparency assessments between countries using the image analysis system CROCO. Environmental Monitoring and Assessment 89: 179–195.

    OpenUrlPubMed
21. ↵
    1. Morsdorf, F.,
    2. B. Kötz,
    3. E. Meier,
    4. K.I. Itten, and
    5. B. Allgöwer

    . 2006. Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction. Remote Sensing of Environment 104: 50–61.

    OpenUrlCrossRef
22. ↵
    1. Nakajima, H.,
    2. A. Kume,
    3. M. Ishida,
    4. T. Ohmiya, and
    5. N. Mizoue

    . 2011. Evaluation of estimates of crown condition in forest monitoring: comparison between visual estimation and automated crown image analysis. Annals of Forest Science 68: 1333–1340.

    OpenUrl
23. ↵
    1. Nielsen, A.B.,
    2. J. Östberg, and
    3. T. Delshammar

    . 2014. Review of urban tree inventory methods used to collect data at single-tree level. Arboriculture & Urban Forestry 40: 96–111.

    OpenUrl
24. ↵
    1. Ørka,
    2. H.O.,
    3. E. Næsset, and
    4. O.M. Bollandsås

    . 2009. Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data. Remote Sensing of Environment 113: 1163–1174.

    OpenUrlCrossRef
25. ↵
    1. Pontius, J. and
    2. R. Hallett

    . 2014. Comprehensive methods for earlier detection and monitoring of forest decline. Forest Science 60: 1156–1163.

    OpenUrlCrossRef
26. ↵
    1. Popescu, S.C.,
    2. R.H. Wynne, and
    3. R.F. Nelson

    . 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing 29: 564–577.

    OpenUrl
27. 1. R Development Core Team

    . 2005. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN3-900051-07-0, URL http://www.R-project.org
28. ↵
    1. Riaño,
    2. D.,
    3. F. Valladares,
    4. S. Condés, and
    5. E. Chuvieco

    . 2004. Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology 124: 269–275.

    OpenUrlCrossRefWeb of Science
29. ↵
    1. Richardson, J.J.,
    2. L.M. Moskal, and
    3. S.H. Kim

    . 2009. Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR. Agricultural and Forest Meteorology 149: 1152–1160.

    OpenUrl
30. ↵
    1. Sasaki, T.,
    2. J. Imanishi,
    3. K. Ioki,
    4. Y. Morimoto, and
    5. K. Kitada

    . 2008. Estimation of leaf area index and canopy openness in broad-leaved forest using an airborne laser scanner in comparison with high-resolution near-infrared digital photography. Landscape and Ecological Engineering 4: 47–55.

    OpenUrl
31. ↵
    1. Sasaki, T.,
    2. J. Imanishi,
    3. W. Fukui, and
    4. Y. Morimoto

    . 2016a. Fine-scale characterization of bird habitat using airborne LiDAR in an urban park in Japan. Urban Forestry & Urban Greening 17: 16–22.

    OpenUrl
32. ↵
    1. Sasaki, T.,
    2. J. Imanishi,
    3. K. Ioki,
    4. Y. Song, and
    5. Y. Morimoto

    . 2016b. Estimation of leaf area index and gap fraction in two broad-leaved forests by using small-footprint airborne LiDAR. Landscape and Ecological Engineering 12: 117–127.

    OpenUrl
33. ↵
    1. Schaberg, P.G.,
    2. J.W. Tilley,
    3. G.J. Hawley,
    4. D.H. DeHayes, and
    5. S.W. Bailey

    . 2006. Associations of calcium and aluminum with the growth and health of sugar maple trees in Vermont. Forest Ecology and Management 223: 159–169.

    OpenUrl
34. ↵
    1. Schnell, S.,
    2. C. Kleinn, and
    3. G. Ståhl

    . 2015. Monitoring trees outside forests: a review. Environmental Monitoring and Assessment 187. doi: 10.1007/s10661-015-4817-7

    OpenUrlCrossRef
35. ↵
    1. Schomaker, M.E.,
    2. S.J. Zarnoch,
    3. W.A. Bechtold,
    4. D.J. Latelle,
    5. W.G. Burkman, and
    6. S.M. Cox

    . 2007. Crown-condition classification: a guide to data collection and analysis. General Technical Report SRS-102. USDA Forest Service Southern Research Station, Asheville, North Carolina, U.S.
36. ↵
    1. Scowcroft, P. G.,
    2. J.B. Friday,
    3. T. Idol,
    4. N. Dudley,
    5. J. Haraguchi, and
    6. D. Meason

    . 2007. Growth response of Acacia koa trees to thinning, grass control, and phosphorus fertilization in a secondary forest in Hawai’i. Forest Ecology and Management 239: 69–80.

    OpenUrl
37. ↵
    1. Y. Morimoto and
    2. Y. Shirahata

    1. Shibata, S.

    2007. Revegetation Technology. pp. 123–135. In: Y. Morimoto and Y. Shirahata (Eds.). Environmental Design: Conservation and Creation of the Landscapes. Asakura Publishing, Tokyo, Japan (in Japanese).
38. ↵
    1. Takenaka, A.

    2009. CanopOn2 hemispherical photograph analysis program. Accessed 09/18/2016. <http://takenaka-akio.org/etc/canopon2/>
39. ↵
    1. Wulder, M.A.,
    2. C.W. Bater,
    3. N.C. Coops,
    4. T. Hilker, and
    5. J.C. White

    . 2008. The role of LiDAR in sustainable forest management. The Forestry Chronicle 84: 807–826.

    OpenUrl
40. ↵
    1. Zimble, D.A.,
    2. D.L. Evans,
    3. G.C. Carlson,
    4. R.C. Parker,
    5. S.C. Grado, and
    6. P.D. Gerard

    . 2003. Characterizing vertical forest structure using small-footprint airborne LiDAR. Remote Sensing of Environment 87: 171–182.

    OpenUrl