دورية أكاديمية
Exploring UAS-lidar as a sampling tool for satellite-based AGB estimations in the Miombo woodland of Zambia
| العنوان: | Exploring UAS-lidar as a sampling tool for satellite-based AGB estimations in the Miombo woodland of Zambia |
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| المؤلفون: | Hastings Shamaoma, Paxie W. Chirwa, Jules C. Zekeng, Able Ramoelo, Andrew T. Hudak, Ferdinand Handavu, Stephen Syampungani |
| المصدر: | Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Plant culture LCC:Biology (General) |
| مصطلحات موضوعية: | Above ground biomass, UAS-lidar, Two-phase, Sampling tool, Plant culture, SB1-1110, Biology (General), QH301-705.5 |
| الوصف: | Abstract To date, only a limited number of studies have utilized remote sensing imagery to estimate aboveground biomass (AGB) in the Miombo ecoregion using wall-to-wall medium resolution optical satellite imagery (Sentinel-2 and Landsat), localized airborne light detection and ranging (lidar), or localized unmanned aerial systems (UAS) images. On the one hand, the optical satellite imagery is suitable for wall-to-wall coverage, but the AGB estimates based on such imagery lack precision for local or stand-level sustainable forest management and international reporting mechanisms. On the other hand, the AGB estimates based on airborne lidar and UAS imagery have the precision required for sustainable forest management at a local level and international reporting requirements but lack capacity for wall-to-wall coverage. Therefore, the main aim of this study was to investigate the use of UAS-lidar as a sampling tool for satellite-based AGB estimation in the Miombo woodlands of Zambia. In order to bridge the spatial data gap, this study employed a two-phase sampling approach, utilizing Sentinel-2 imagery, partial-coverage UAS-lidar data, and field plot data to estimate AGB in the 8094-hectare Miengwe Forest, Miombo Woodlands, Zambia, where UAS-lidar estimated AGB was used as reference data for estimating AGB using Sentinel-2 image metrics. The findings showed that utilizing UAS-lidar as reference data for predicting AGB using Sentinel-2 image metrics yielded superior results (Adj-R2 = 0.70, RMSE = 27.97) than using direct field estimated AGB and Sentinel-2 image metrics (R2 = 0.55, RMSE = 38.10). The quality of AGB estimates obtained from this approach, coupled with the ongoing advancement and cost-cutting of UAS-lidar technology as well as the continuous availability of wall-to-wall optical imagery such as Sentinel-2, provides much-needed direction for future forest structural attribute estimation for efficient management of the Miombo woodlands. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1746-4811 |
| Relation: | https://doaj.org/toc/1746-4811 |
| DOI: | 10.1186/s13007-024-01212-4 |
| URL الوصول: | https://doaj.org/article/bd4dcc03839a427cb39cc9dface84ed9 |
| رقم الأكسشن: | edsdoj.bd4dcc03839a427cb39cc9dface84ed9 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 17464811 |
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| DOI: | 10.1186/s13007-024-01212-4 |