UAV-BASED AUTOMATIC TREE GROWTH MEASUREMENT FOR BIOMASS ESTIMATION

17 citations as recorded by crossref.

1. Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review P. Surový & K. Kuželka https://doi.org/10.3390/f10030273
2. Identification of Water Body Extent Based on Remote Sensing Data Collected with Unmanned Aerial Vehicle P. Tymków et al. https://doi.org/10.3390/w11020338
3. Moving to Automated Tree Inventory: Comparison of UAS-Derived Lidar and Photogrammetric Data with Manual Ground Estimates L. Ramalho de Oliveira et al. https://doi.org/10.3390/rs13010072
4. Evaluating Effects of Remotely Sensed Neighborhood Crowding and Depth-to-Water on Tree Height Growth K. Bergmüller & M. Vanderwel https://doi.org/10.3390/f14020242
5. An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials R. Hartley et al. https://doi.org/10.3390/rs12244039
6. Determining the Effects of Nanonutrient Application in Cabbage (Brassica oleracea var. capitate L.) Using Spectrometry and Biomass Estimation with UAV I. Sinde-González et al. https://doi.org/10.3390/agronomy12010081
7. Apple orchard inventory with a LiDAR equipped unmanned aerial system E. Hadas et al. https://doi.org/10.1016/j.jag.2019.101911
8. Study on the Differences between the Extraction Results of the Structural Parameters of Individual Trees for Different Tree Species Based on UAV LiDAR and High-Resolution RGB Images H. You et al. https://doi.org/10.3390/drones7050317
9. Use of UAV photogrammetric data in forest genetic trials: measuring tree height, growth, and phenology in Norway spruce (Picea abies L. Karst.) T. Solvin et al. https://doi.org/10.1080/02827581.2020.1806350
10. Heritable variation in tree growth and needle vegetation indices of slash pine (Pinus elliottii) using unmanned aerial vehicles (UAVs) X. Tao et al. https://doi.org/10.1016/j.indcrop.2021.114073
11. Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models M. Aboutalebi et al. https://doi.org/10.3390/rs12010050
12. Monitoring of Monthly Height Growth of Individual Trees in a Subtropical Mixed Plantation Using UAV Data X. Tang et al. https://doi.org/10.3390/rs15020326
13. Remote Sensing Monitoring on the Territory of the Volga Carbon Polygon (Republic of Tatarstan, Russia) B. Usmanov et al. https://doi.org/10.1051/e3sconf/202346302021
14. A non-destructive method for rapid acquisition of grassland aboveground biomass for satellite ground verification using UAV RGB images H. Zhang et al. https://doi.org/10.1016/j.gecco.2022.e01999
15. Estimation of Aboveground Biomass Stock in Tropical Savannas Using Photogrammetric Imaging R. de Queiroz et al. https://doi.org/10.3390/drones7080493
16. High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry W. Zhang et al. https://doi.org/10.3390/drones6070158
17. A Novel Enhanced VGG16 Model to Tackle Grapevine Leaves Diseases With Automatic Method S. Mousavi & G. Farahani https://doi.org/10.1109/ACCESS.2022.3215639