Forest modelling and visualisation – state of the art and perspectives

Author:

Fabrika Marek1,Valent Peter1,Merganičová Katarína12

Affiliation:

1. Technical University in Zvolen , Faculty of Forestry , T. G. Masaryka 24, SK – 960 01 Zvolen , Slovak Republic

2. Czech University of Life Sciences Prague , Faculty of Forestry and Wood Sciences , Kamýcká 129, CZ – 165 00 Praha 6 – Suchdol, Czech Republic

Abstract

Abstract The paper provides a detailed overview on forest models from various perspectives. The presented classification scheme of forest models uses concept, object, space and time as variables to place models in specific categories and thus provides an integrated approach for model categorisation. A short description of individual categories with the examples of models helps to understand their nature. In total 34 forest models were classified according to the created scheme. Forest visualisation has also an important place in forest modelling. Here it is described from the point of different visualisations methods and used technologies. Inputs that are necessary for the models but are often not available and need to be derived using specialised tools – various forms of data generators are presented too. Important perspectives and challenges of further development of forest models and visualisation technologies were specified as well.

Publisher

Walter de Gruyter GmbH

Subject

Forestry

Reference189 articles.

1. Aber, J. D., Federer, C. A., 1992: A generalized, lumped-parameter model of photosynthesis, evapotranspi-ration and net primary production in temperate and boreal forest ecosystems. Oecologia, 92:463–474.10.1007/BF00317837

2. Adelard, L., Boyer, H., Garde, F., Gatina, J.-C., 2000: A detailed weather data generator for building simulations. Energy and Buildings, 31:75–88.10.1016/S0378-7788(99)00009-2

3. Aertsen, W., Kint, V., Muys, B., Van Orshoven, J., 2012: Effects of scale and scaling in predictive modelling of forest site productivity. Environmental Modelling & Software, 31:19–27.10.1016/j.envsoft.2011.11.012

4. Allister, K. M., Harding, L. A., Vernon Cole, C., Parton, W. J., 1993: CENTURY Soil Organic Matter Model Environment. Available at: https://www2.nrel.colostate.edu/projects/century/MANUAL/html_manual/man96.html (accessed 12.8.18).

5. Aschoff, T., Thies, M., Winterhalder, D., Kretschmer, U., Spiecker, H., 2004: Automatisierte Ableitung von forstlichen Inventurparametern aus terrestrischen Laserscannerdaten. 24. Wissenscgaftlich-Technische ahrestagung der DGPF 2004, Halle/saale, p. 341–348.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3