APPLICATION OF THE MMAC ALGORITHM TO TREE HEIGHT AND CROWN DIAMETER ESTIMATION IN MOUNTAINOUS FOREST

被引：0
|
作者：
Lin, C. [1 ]
Lo, C. S. [2 ]
Thomson, G. [3 ]
Yang, M. S. [1 ]
机构：
[1] Natl Chiayi Univ, Dept Forestry & Nat Resources, 300 Univ Rd, Chiayi 60004, Taiwan
[2] Natl Formosa Univ, Dept Multimedia Design, Taipei 63201, Taiwan
[3] Natl Formosa Univ, Dept Appl Foreign Languages, Yunlin 63201, Taiwan
来源：
NETWORKING THE WORLD WITH REMOTE SENSING | 2010年 / 38卷
关键词：
tree height estimation; diameter estimation; multi-level morphological active contour (MMAC) algorithm; lidar remote sensing; MULTISPECTRAL DATA; AIRBORNE LIDAR; BIOMASS; FUSION; VOLUME;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This paper applied the multi-level morphological active contour (MMAC) algorithm to the estimation of diameter at breast height (DBH), total height, and crown width of trees in mountainous forest based on rasterized airborne lidar data. The MMAC algorithm comprises three steps: a bottom up erosion (BUE) process to identify stand candidates, a top down dilation (TDD) process to estimate the crown periphery, and an active contour model (ACM) process to delineate crown contours. The total height (LH) and crown width (LCW) can be directly calculated by the MMAC method and then used as regressors in a multiple regression model for the estimation of diameter at breast height (LDBH). The results showed that the average estimation bias of LH, LCW, and LDBH is around 0.50 m, 2.54 m, and 8.7 cm respectively.
引用
收藏
页码：700 / 704
页数：5
相关论文
共 50 条
  • [21] Crown development in tropical rain forest trees: patterns with tree height and light availability
    Sterck, FJ
    Bongers, F
    JOURNAL OF ECOLOGY, 2001, 89 (01) : 1 - 13
  • [22] Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
    Kalliovirta, J
    Tokola, T
    SILVA FENNICA, 2005, 39 (02) : 227 - 248
  • [23] Orange Tree Counting and Canopy Diameter Estimation with Genetic Algorithm
    Camargo Neto, J.
    Miranda, J. I.
    INTERNATIONAL SYMPOSIUM ON APPLICATION OF PRECISION AGRICULTURE FOR FRUITS AND VEGETABLES, 2009, 824 : 29 - 36
  • [24] Field methods for sampling tree height for tropical forest biomass estimation
    Sullivan, Martin J. P.
    Lewis, Simon L.
    Hubau, Wannes
    Qie, Lan
    Baker, Timothy R.
    Banin, Lindsay F.
    Chave, Jerome
    Cuni-Sanchez, Aida
    Feldpausch, Ted R.
    Lopez-Gonzalez, Gabriela
    Arets, Eric
    Ashton, Peter
    Bastin, Jean-Francois
    Berry, Nicholas J.
    Bogaert, Jan
    Boot, Rene
    Brearley, Francis Q.
    Brienen, Roel
    Burslem, David F. R. P.
    de Canniere, Charles
    Chudomelova, Marketa
    Dancak, Martin
    Ewango, Corneille
    Hedl, Radim
    Lloyd, Jon
    Makana, Jean-Remy
    Malhi, Yadvinder
    Marimon, Beatriz S.
    Marimon Junior, Ben Hur
    Metali, Faizah
    Moore, Sam
    Nagy, Laszlo
    Vargas, Percy Nunez
    Pendry, Colin A.
    Ramirez-Angulo, Hirma
    Reitsma, Jan
    Rutishauser, Ervan
    Abu Salim, Kamariah
    Sonke, Bonaventure
    Sukri, Rahayu S.
    Sunderland, Terry
    Svatek, Martin
    Umunay, Peter M.
    Martinez, Rodolfo Vasquez
    Vernimmen, Ronald R. E.
    Torre, Emilio Vilanova
    Vleminckx, Jason
    Vos, Vincent
    Phillips, Oliver L.
    METHODS IN ECOLOGY AND EVOLUTION, 2018, 9 (05): : 1179 - 1189
  • [25] Comparison of estimation methods to obtain ideal distribution of forest tree height
    Ayuga-Tellez, Esperanza
    Mauro-Gutierrez, Francisco
    Garcia-Abril, Antonio
    Gonzalez-Garcia, Concepcion
    Eugenio Martinez-Falero, J.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2014, 108 : 191 - 199
  • [26] Tree height estimation in tundi reserved forest using SAR interferometry
    Kumar, Praveen
    Krishna, A. P.
    Nathawat, M. S.
    Singh, C. P.
    Kandya, A. K.
    Ajai, Shiv Mohan
    MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT V, 2006, 6410
  • [27] ESTIMATION OF DOMINANT TREE HEIGHT IN FOREST STANDS USING LIDAR DATA
    Lazdins, Andis
    Ivanovs, Janis
    Melniks, Raitis
    18TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2019, : 1667 - 1672
  • [28] A novel algorithm for forest height estimation from PolInSAR image
    Minh, Nghia Pham
    Zou, Bin
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013, 6 (02) : 15 - 32
  • [29] Tree Leaf Biomass Models of Chinese fir Plantations Based on Sapwood Area and Diameter at Breast Height and Diameter at Crown Base
    Qu Y.
    Jiang Y.
    Jiang Y.
    Zhang J.
    Luo A.
    Zhang X.
    Linye Kexue/Scientia Silvae Sinicae, 2023, 59 (07): : 106 - 114
  • [30] Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan
    Zawawi, Azita Ahmad
    Shiba, Masami
    Jemali, Noor Janatun Naim
    FOREST SYSTEMS, 2015, 24 (01)
12345