58 Chen et al: Intelligent Survey Technologies for Urban Forests in Taiwan Kwong IHY, Fung T. 2019. Tree height mapping and crown delineation using LiDAR, large format aerial photographs, and unmanned aerial vehicle photogrammetry in subtropical urban forest. International Journal of Remote Sensing. 41(14):5228-5256. https://doi.org/10.1080/01431161.2020 .1731002 Li GH, Wang XP, Feng HL, Wiedenbeck J, Ross RJ. 2014. Analysis of wave velocity patterns in black cherry trees and its effect on internal decay detection. Computers and Elec- tronics in Agriculture. 104:32-39. https://doi.org/10.1016/j .compag.2014.03.008 Lilly SJ. 2010. Arborists’ certification study guide. Champaign (IL, USA): International Society of Arboriculture. 362 p. Luvisi A, Lorenzini G. 2014. RFID-plants in the smart city: Applications and outlook for urban green management. Urban Forestry & Urban Greening. 13(4):630-637. https://doi.org/10 .1016/j.ufug.2014.07.003 Mattheck C, Breloer H. 1996. The body language of trees: A handbook for failure analysis. London (UK): Stationery Office Books. 320 p. Ordóñez C, Kendal D, Threlfall CG, Hochuli DF, Davern M, Fuller RA, Livesley SJ. 2020. How urban forest managers evaluate management and governance challenges in their decision-making. Forests. 11(9):963. https://doi.org/10.3390/ f11090963 Pirti A. 2007. Performance analysis of the real time kinematic GPS (RTK GPS) technique in a highway project (stake-out). Survey Review. 39(303):43-53. https://doi.org/10.1179/ 003962607X164989 Ponneth D, Vasu AE, Easwaran JC, Mohandass A, Chauhan SS. 2014. Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation. Holzforschung. 68(8):951-956. https://doi.org/10.1515/hf-2013-0193 Schipperijn J, Pillmann W, Tyrväinen L, Mäkinen K, O’Sullivan K. 2005. Information for urban forest planning and manage- ment. In: Konijnendijk C, Nilsson K, Randrup T, Schipperijn J, editors. Urban forest trees. Berlin/Heidelberg (Germany): Springer. p. 399-417. https://doi.org/10.1007/3-540-27684 -X_15 Shortle WC, Dudzik KR. 2012. Wood decay in living and dead trees: A pictorial overview. Newtown Square (PA, USA): USDA Forest Service, Northern Research Station. General Technical Report NRS-97. https://doi.org/10.2737/NRS -GTR-97 Suyama H, Kirita R, Monobe H. 2013. Effect of weight of ham- mers on detection of resonance frequency by the lateral impact vibration method for large living trees of 9 species. Journal of Wood Society. 59(2):105-111. https://doi.org/10.2488/ jwrs.59.105 Suyama H, Tetsuya N, Tomimatsu Y. 2010. Non-destructive diagnosis of the butt heart rot in Chamaecyparis obtusa by the lateral impact vibration method. Tree and Forest Health. 14(3):83-91. https://doi.org/10.18938/treeforesthealth.14.3_83 Tasoulas E, Varras G, Tsirogiannis I, Myriounis C. 2013. Devel- opment of a GIS application for urban forestry management planning. Procedia Technology. 8:70-80. https://doi.org/10.1016/ j.protcy.2013.11.011 Town of Wake Forest. 2013. Urban forest management plan. Wake Forest (NC, USA): Town of Wake Forest. https://www ©2022 International Society of Arboriculture .wakeforestnc.gov/sites/default/files/uploads/urban_forestry/ uf-mgt-plan-final.pdf von Döhren P, Haase D. 2019. Risk assessment concerning urban ecosystem disservices: The example of street trees in Berlin, Germany. Ecosystem Services. 40:101031. https://doi .org/10.1016/j.ecoser.2019.101031 Wang X. 2013. Acoustic measurements on trees and logs: A review and analysis. Wood Science and Technology. 47(5):965-975. https://doi.org/10.1007/s00226-013-0552-9 Wang X, Liu Y, Guo L. 2015. Urban forestry management infor- mation system based on GIS—A case of Tangshan City. In: Proceedings of the 2015 2nd International Forum on Electri- cal Engineering and Automation (IFEEA 2015). IFEEA 2015; 2015 December 26–27; Guangzhou, China. Dordrecht (The Netherlands): Atlantis Press. p. 158-161. Yamada T, Yamashita K, OtaYuko Y. 2019. Comparison between sonic tomography and lateral impact vibration method in detecting cavity using wood disk. The Japanese Forest Society Congress. 130:154-155. https://doi.org/10 .11519/jfsc.130.0_457 Zengin H, Yesil A. 2004. Comparing the performances of real-time kinematic GPS and a handheld GPS receiver under forest cover. Turkish Journal of Agriculture and Forestry. 30(2): 101-110. https://www.researchgate.net/publication/273771581 _Comparing_the_Performances_of_Real-Time_Kinematic _GPS_and_a_Handheld_GPS_Receiver_under_Forest_Cover Zhang C, Qiu F. 2012. Mapping individual tree species in an urban forest using airborne lidar data and hyperspectral imagery. American Society for Photogrammetry and Remote Sensing. 78(10):1079-1087. https://doi.org/10.14358/PERS .78.10.1079 ACKNOWLEDGMENTS Thanks to the Penghu County Government, Kinmen County For- estry Bureau, Taipei City Government, and Pingtung County Government for providing project funds: Penghu County Gov- ernment project (SV-2108025); Kinmen County Forestry Bureau project (108112930001, I10411338, I10311360); Taipei City Gov- ernment project (I10411398); Pingtung County Government proj- ect (B1081102-1B, B1070726-3B). Thank you to the Department of Forestry, National Pingtung University of Science and Technol- ogy, and the Taiwan Forestry Research Institute for their technical support. Jan-Chang Chen (corresponding author) Department of Forestry National Pingtung University of Science and Technology Shuefu Road, Neipu Pingtung, Taiwan 886-87703202-7147
[email protected] Chun-Hung Wei Department of Forestry National Pingtung University of Science and Technology +
March 2022
| Title Name |
Pages |
Delete |
Url |
| Empty |
Ai generated response may be inaccurate.
Search Text Block
Page #page_num
#doc_title
Hi $receivername|$receiveremail,
$sendername|$senderemail wrote these comments for you:
$message
$sendername|$senderemail would like for you to view the following digital edition.
Please click on the page below to be directed to the digital edition:
$thumbnail$pagenum
$link$pagenum
