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A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
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Citations
Cited by
Development of a UAV-LiDAR System with Application to Forest Inventory
Wallace, L., Lucieer, A., Watson, C., & Turner, D. (2012) · Remote Sensing · doi:10.3390/rs4061519 · Cited by 710
Hugenholtz, C. H., Whitehead, K., Brown, O. W., Barchyn, T. E., Moorman, B. J., LeClair, A., Riddell, K., & Hamilton, T. (2013) · Geomorphology · doi:10.1016/j.geomorph.2013.03.023 · Cited by 332
Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM
Pierzchała, M., Giguère, P., & Astrup, R. (2018) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.12.034 · Cited by 258
Calibration and Accuracy Analysis of a Low-Cost Mapping-Grade Mobile Laser Scanning System
Hauser, D., Glennie, C., & Brooks, B. (2016) · Journal of Surveying Engineering · doi:10.1061/(asce)su.1943-5428.0000178 · Cited by 29
Metadata
- Authors
- Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, H., Lehtomäki, M., & Lin, Y.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 65
- Issue
- 6
- Pages
- 514-522
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2076700149
- Cited by
- 339
- References
- 0
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2010.08.002
- The paper
- Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, H., Lehtomäki, M., & Lin, Y. (2010). A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2010.08.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.