Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.05.013 |
Applicability of different non-invasive methods for tree mass estimation: A review | |
Dittmann, S.; Thiessen, E.; Hartung, E. | |
2017-08-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 398 |
文章类型 | Review |
语种 | 英语 |
国家 | Germany |
英文摘要 | Biomass estimations of trees are used at various different special scales. Along with the scale, there are diverse demands on accuracy and technical requirements. This paper reports the state of the art of different methods for non-invasive tree mass estimation technics. Different studies about biomass estimations at different spatial scales were compared on basis of three assessment criteria: accuracy, efficiency, and technical requirements. Publications were searched via Google Scholar, Web of Science and ScienceDirect including years from 1980 to 2016. References of 20 studies could be used to compare 10 methods of biomass estimation. Allometric approaches are comparably accurate but are suitable for small area applications only. Remote sensing techniques are less accurate but more efficient. Lidar and SfM appear to be the most efficient and most accurate techniques for medium sized area applications. Especially SfM applications are promising due to lower technical requirements. Optical images are suitable for coarse but large area applications. (C) 2017 Elsevier B.V. All rights reserved. |
英文关键词 | Tree Forest Mass Biomass Estimation Allometric equations Optical Images Radar Lidar SfM Review |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000403733100018 |
WOS关键词 | REMOTE-SENSING DATA ; ABOVEGROUND-BIOMASS ; FOREST BIOMASS ; ALLOMETRIC EQUATIONS ; TROPICAL FOREST ; BOREAL FORESTS ; SATELLITE DATA ; POINT CLOUDS ; STEM VOLUME ; LIDAR |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24281 |
专题 | 气候变化 |
作者单位 | Univ Kiel, Inst Agr Engn, Max Eyth Str 6, D-24118 Kiel, Germany |
推荐引用方式 GB/T 7714 | Dittmann, S.,Thiessen, E.,Hartung, E.. Applicability of different non-invasive methods for tree mass estimation: A review[J]. FOREST ECOLOGY AND MANAGEMENT,2017,398. |
APA | Dittmann, S.,Thiessen, E.,&Hartung, E..(2017).Applicability of different non-invasive methods for tree mass estimation: A review.FOREST ECOLOGY AND MANAGEMENT,398. |
MLA | Dittmann, S.,et al."Applicability of different non-invasive methods for tree mass estimation: A review".FOREST ECOLOGY AND MANAGEMENT 398(2017). |
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