Automated Author ProfileMacFarlane, David W.
Department of Forestry, Michigan State University0000-0001-7781-3390
MacFarlane, David W.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset was used for the analysis of the following publication:The impact of leaf-wood separation algorithms on aboveground biomass estimation from terrestrial laser scanning. Shilin Chen, Hans Verbeeck, Louise Terryn, Wouter A.J. Van den Broeck, Matheus Boni Vicari, Mathias Disney, Niall Origo, Di Wang, Zhouxin Xi, Chris Hopkinson, Wenxia Dai, Meilian Wang, Sruthi M. Krishna Moorthy, Jie Shao, Roberto Ferrara, David W. MacFarlane, Kim Calders. Remote Sensing of Environment (published)Any use of this dataset should cite the paper above.Contact: [email protected] ================================================ Dataset================================================1. Wytham woods 2016 1.4ha leaf-on individual tree point clouds (mannual segmented, under the folder "DATA_pointclouds_txt");2. The leaf-wood separation results (leaf-removed point clouds) of all leafwood separation algorithms(under the folder "DATA_pointclouds_txt");3. The QSMs of all leaf-removed points (the QSMs are produced by TreeQSM v2.0 algorithm, under the folder "DATA_QSM_opt");4. The data used for analysis and graphs (under the folder "DATA_pointclouds_txt");5. The R code used for graphs;Due to upload file size limitations, other optimal QSMs files of leaf-removed points can be found:DATA_QSM_opt-2: 10.5281/zenodo.14907162DATA_QSM_opt-3: 10.5281/zenodo.14908048wytham woods2015 1.4ha leaf-off dataset can be found from: https://zenodo.org/records/7307956 ================================================ Funding================================================The TLS fieldwork was funded through the Metrology for Earth Observation and Climate project (MetEOC-2), grant number ENV55 within the European Metrology Research Programme (EMRP). The EMRP is jointly funded by the EMRP participating countries within EURAMET and the European Union. Funds for purchase of the UCL RIEGL VZ-400 instrument was provided by the UK NERC National Centre for Earth Observation (NCEO) and UCL Geography.
Authors
- Chen, Shilin ;
- Verbeeck, Hans ;
- Terryn, Louise ;
- Van den Broeck, Wouter A.J. ;
- Vicari, Matheus Boni ;
- Mathias, Disney ;
- Origo, Niall ;
- Wang, Di ;
- Xi, Zhouxin ;
- Hopkinson, Chris ;
- Dai, Wenxia ;
- Wang, Meilian ;
- Moorthy, Sruthi M. Krishna ;
- Shao, Jie ;
- Ferrara, Roberto ;
- MacFarlane, David W. ;
- Calders, Kim
This dataset was used for the analysis of the following publication:The impact of leaf-wood separation algorithms on aboveground biomass estimation from terrestrial laser scanning. Shilin Chen, Hans Verbeeck, Louise Terryn, Wouter A.J. Van den Broeck, Matheus Boni Vicari, Mathias Disney, Niall Origo, Di Wang, Zhouxin Xi, Chris Hopkinson, Wenxia Dai, Meilian Wang, Sruthi M. Krishna Moorthy, Jie Shao, Roberto Ferrara, David W. MacFarlane, Kim Calders. Remote Sensing of Environment (published)Any use of this dataset should cite the paper above.Contact: [email protected] ================================================ Dataset================================================1. Wytham woods 2016 1.4ha leaf-on individual tree point clouds (mannual segmented, under the folder "DATA_pointclouds_txt");2. The leaf-wood separation results (leaf-removed point clouds) of all leafwood separation algorithms(under the folder "DATA_pointclouds_txt");3. The QSMs of all leaf-removed points (the QSMs are produced by TreeQSM v2.0 algorithm, under the folder "DATA_QSM_opt");4. The data used for analysis and graphs (under the folder "DATA_pointclouds_txt");5. The R code used for graphs;Due to upload file size limitations, other optimal QSMs files of leaf-removed points can be found:DATA_QSM_opt-2: 10.5281/zenodo.14907162DATA_QSM_opt-3: 10.5281/zenodo.14908048wytham woods2015 1.4ha leaf-off dataset can be found from: https://zenodo.org/records/7307956 ================================================ Funding================================================The TLS fieldwork was funded through the Metrology for Earth Observation and Climate project (MetEOC-2), grant number ENV55 within the European Metrology Research Programme (EMRP). The EMRP is jointly funded by the EMRP participating countries within EURAMET and the European Union. Funds for purchase of the UCL RIEGL VZ-400 instrument was provided by the UK NERC National Centre for Earth Observation (NCEO) and UCL Geography.
Authors
- Chen, Shilin ;
- Verbeeck, Hans ;
- Terryn, Louise ;
- Van den Broeck, Wouter A.J. ;
- Vicari, Matheus Boni ;
- Mathias, Disney ;
- Origo, Niall ;
- Wang, Di ;
- Xi, Zhouxin ;
- Hopkinson, Chris ;
- Dai, Wenxia ;
- Wang, Meilian ;
- Moorthy, Sruthi M. Krishna ;
- Shao, Jie ;
- Ferrara, Roberto ;
- MacFarlane, David W. ;
- Calders, Kim