research-article

Computer simulation of tree mapping approach to project the future growth of forest

Authors:

Roslan IsmailAuthors Info & Claims

IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication

Article No.: 54, Pages 1 - 7

https://doi.org/10.1145/3022227.3022280

Published: 05 January 2017 Publication History

Abstract

The current and conventional technique of forest growth projection is based on empirical approach of statistical analysis. Forest stoking based on aggregated group values of volume and number of trees species and their respective sizes. The tree mapping approach using geographic information system (GIS) in forest inventory made the ecological and system analysis approach possible. In this study, we have developed a simulation system based on the individual trees with the use of forest inventory. With its tree location, the simulation for individual trees looks possible. The projection will take into account the competition among trees and layers of canopy to get sunlight and its survival. The mortality and recruitment of trees and seedlings will be simulated based on its location in the forests. This approach seems feasible particularly on its ability to project the distribution of individual tree, sapling and seedling in their respective location. In addition, this approach will improve the decision making process of the sustainable management of tropical forest as well as to improve its information database system.

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Cited By

Yahya YIsmail R(2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020
https://doi.org/10.1109/IMCOM48794.2020.9001695
Yahya YIsmail R(2019)Randomized Technique to Determine the New Seedlings for Simulation of Population DynamicProceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 201910.1007/978-3-030-19063-7_57(711-722)Online publication date: 23-May-2019
https://doi.org/10.1007/978-3-030-19063-7_57
Yahya YIsmail R(2018)Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation SystemProceedings of the 12th International Conference on Ubiquitous Information Management and Communication10.1145/3164541.3164622(1-5)Online publication date: 5-Jan-2018
https://dl.acm.org/doi/10.1145/3164541.3164622

Index Terms

Computer simulation of tree mapping approach to project the future growth of forest
1. Computing methodologies
  1. Modeling and simulation

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cover image ACM Conferences

IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication

January 2017

746 pages

ISBN:9781450348881

DOI:10.1145/3022227

Copyright © 2017 ACM.

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Published: 05 January 2017

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IMCOM '17: The 11th International Conference on Ubiquitous Information Management and Communication

January 5 - 7, 2017

Beppu, Japan

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IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;

Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

Yahya YIsmail R(2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020
https://doi.org/10.1109/IMCOM48794.2020.9001695
Yahya YIsmail R(2019)Randomized Technique to Determine the New Seedlings for Simulation of Population DynamicProceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 201910.1007/978-3-030-19063-7_57(711-722)Online publication date: 23-May-2019
https://doi.org/10.1007/978-3-030-19063-7_57
Yahya YIsmail R(2018)Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation SystemProceedings of the 12th International Conference on Ubiquitous Information Management and Communication10.1145/3164541.3164622(1-5)Online publication date: 5-Jan-2018
https://dl.acm.org/doi/10.1145/3164541.3164622

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