دورية أكاديمية
Evaluation of the quality of automatic tree detection using photogrammetric canopy height models and orthomosaic
| العنوان: | Evaluation of the quality of automatic tree detection using photogrammetric canopy height models and orthomosaic |
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| المؤلفون: | Natalya V. Ivanova, Aleksandr V. Lebedev, Maхim P. Shashkov |
| المصدر: | Трансформация экосистем, Vol 6, Iss 2, Pp 33-48 (2023) |
| بيانات النشر: | Cherepovets State University, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Environmental sciences |
| مصطلحات موضوعية: | kologrivsky forest nature reserve, quadcopter, neural network, agisoft metashape, lidr, rlidar, deepforest, Environmental sciences, GE1-350 |
| الوصف: | The work was performed in the old-growth linden-spruce forest of the Kologrivsky Forest Nature Reserve (Kostroma Oblast, Russia) based on aerial photography with a quadcopter. Automatic detection algorithms made it possible to detect most of the trees in the forest canopy. Tree detection by orthomosaic using neural network algorithm ‘DeepForest’ turned out to be of better quality than detection based on the canopy height model using an algorithm based on the sliding window method. As a rule, both methods showed better results for conifers compared to deciduous trees. Comparison of the average heights of trees estimated from remote data and measured by ground survey did not reveal significant differences. Additional ground surveys to assess the quality of undergrowth detection are needed. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Russian |
| تدمد: | 2619-0931 |
| Relation: | http://en.ecosysttrans.com/publikatsii/ecosystem-transformation-volume-6-no-2-2023/evaluation-of-the-quality-of-automatic-tree-detection-using-photogrammetric-canopy-height-models-and/; https://doaj.org/toc/2619-0931 |
| DOI: | 10.23859/estr-220418 |
| URL الوصول: | https://doaj.org/article/3cd63d7aab2f40eaa3e90aefbef3760b |
| رقم الأكسشن: | edsdoj.3cd63d7aab2f40eaa3e90aefbef3760b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26190931 |
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| DOI: | 10.23859/estr-220418 |