How to implement the data collection of leaf area index by means of citizen science and forest gamification?
Leaf area index (LAI) is a critical parameter that influences many biophysical processes within forest ecosystems. Collecting in situ LAI measurements by forest canopy hemispherical photography is however costly and laborious. As a result, there is a lack of LAI data for calibration of forest ecosys...
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| Format: | Article |
| Language: | English |
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Finnish Society of Forest Science
2024-11-01
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| Series: | Silva Fennica |
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| Online Access: | https://www.silvafennica.fi/article/24044 |
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| author | Shaohui Zhang Lauri Korhonen Timo Nummenmaa Simone Bianchi Matti Maltamo |
| author_facet | Shaohui Zhang Lauri Korhonen Timo Nummenmaa Simone Bianchi Matti Maltamo |
| author_sort | Shaohui Zhang |
| collection | DOAJ |
| description | Leaf area index (LAI) is a critical parameter that influences many biophysical processes within forest ecosystems. Collecting in situ LAI measurements by forest canopy hemispherical photography is however costly and laborious. As a result, there is a lack of LAI data for calibration of forest ecosystem models. Citizen science has previously been tested as a solution to obtain LAI measurements from large areas, but simply asking citizen scientists to collect forest canopy images does not stimulate enough interest. As a response, this study investigates how gamified citizen science projects could be implemented with a less laborious data collection scheme. Citizen scientists usually have only mobile phones available for LAI image collection instead of cameras suitable for taking hemispherical canopy images. Our simulation results suggest that twenty directional canopy images per plot can provide LAI estimates that have an accuracy comparable to conventional hemispherical photography with twelve images per plot. To achieve this result, the mobile phone images must be taken at the 57° hinge angle, with four images taken at 90° azimuth intervals at five spread-out locations. However, more images may be needed in forests with large LAI or uneven canopy structure to avoid large errors. Based on these findings, we propose a gamified solution that could guide citizen scientists to collect canopy images according to the proposed scheme. |
| format | Article |
| id | doaj-art-6bcf443ea9da4c62a24ffb258c38d580 |
| institution | Kabale University |
| issn | 2242-4075 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj-art-6bcf443ea9da4c62a24ffb258c38d5802024-11-28T14:43:59ZengFinnish Society of Forest ScienceSilva Fennica2242-40752024-11-0158510.14214/sf.24044How to implement the data collection of leaf area index by means of citizen science and forest gamification?Shaohui Zhang0https://orcid.org/0000-0001-7876-9635Lauri Korhonen1https://orcid.org/0000-0002-9352-0114Timo Nummenmaa2https://orcid.org/0000-0002-9896-0338Simone Bianchi3https://orcid.org/0000-0001-9544-7400Matti Maltamo4https://orcid.org/0000-0002-9904-3371School of Forest Sciences, University of Eastern Finland, Yliopistokatu 7, FI-80101 Joensuu, Finland School of Forest Sciences, University of Eastern Finland, Yliopistokatu 7, FI-80101 Joensuu, FinlandTampere University, Kalevantie 4, FI-33100 Tampere, FinlandNatural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790 Helsinki, FinlandSchool of Forest Sciences, University of Eastern Finland, Yliopistokatu 7, FI-80101 Joensuu, FinlandLeaf area index (LAI) is a critical parameter that influences many biophysical processes within forest ecosystems. Collecting in situ LAI measurements by forest canopy hemispherical photography is however costly and laborious. As a result, there is a lack of LAI data for calibration of forest ecosystem models. Citizen science has previously been tested as a solution to obtain LAI measurements from large areas, but simply asking citizen scientists to collect forest canopy images does not stimulate enough interest. As a response, this study investigates how gamified citizen science projects could be implemented with a less laborious data collection scheme. Citizen scientists usually have only mobile phones available for LAI image collection instead of cameras suitable for taking hemispherical canopy images. Our simulation results suggest that twenty directional canopy images per plot can provide LAI estimates that have an accuracy comparable to conventional hemispherical photography with twelve images per plot. To achieve this result, the mobile phone images must be taken at the 57° hinge angle, with four images taken at 90° azimuth intervals at five spread-out locations. However, more images may be needed in forests with large LAI or uneven canopy structure to avoid large errors. Based on these findings, we propose a gamified solution that could guide citizen scientists to collect canopy images according to the proposed scheme.https://www.silvafennica.fi/article/24044forest canopycrowdsourcinghinge angleplant area indexsmartphones |
| spellingShingle | Shaohui Zhang Lauri Korhonen Timo Nummenmaa Simone Bianchi Matti Maltamo How to implement the data collection of leaf area index by means of citizen science and forest gamification? Silva Fennica forest canopy crowdsourcing hinge angle plant area index smartphones |
| title | How to implement the data collection of leaf area index by means of citizen science and forest gamification? |
| title_full | How to implement the data collection of leaf area index by means of citizen science and forest gamification? |
| title_fullStr | How to implement the data collection of leaf area index by means of citizen science and forest gamification? |
| title_full_unstemmed | How to implement the data collection of leaf area index by means of citizen science and forest gamification? |
| title_short | How to implement the data collection of leaf area index by means of citizen science and forest gamification? |
| title_sort | how to implement the data collection of leaf area index by means of citizen science and forest gamification |
| topic | forest canopy crowdsourcing hinge angle plant area index smartphones |
| url | https://www.silvafennica.fi/article/24044 |
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