UAV-BASED AUTOMATIC TREE GROWTH MEASUREMENT FOR BIOMASS ESTIMATION

16 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 10.3390/f10030273
2. Identification of Water Body Extent Based on Remote Sensing Data Collected with Unmanned Aerial Vehicle P. Tymków et al. 10.3390/w11020338
3. Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach M. Kerkech et al. 10.1016/j.compag.2020.105446
4. Evaluating Effects of Remotely Sensed Neighborhood Crowding and Depth-to-Water on Tree Height Growth K. Bergmüller & M. Vanderwel 10.3390/f14020242
5. 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. 10.3390/agronomy12010081
6. Apple orchard inventory with a LiDAR equipped unmanned aerial system E. Hadas et al. 10.1016/j.jag.2019.101911
7. 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. 10.3390/drones7050317
8. 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. 10.1080/02827581.2020.1806350
9. Heritable variation in tree growth and needle vegetation indices of slash pine (Pinus elliottii) using unmanned aerial vehicles (UAVs) X. Tao et al. 10.1016/j.indcrop.2021.114073
10. Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models M. Aboutalebi et al. 10.3390/rs12010050
11. Monitoring of Monthly Height Growth of Individual Trees in a Subtropical Mixed Plantation Using UAV Data X. Tang et al. 10.3390/rs15020326
12. Remote Sensing Monitoring on the Territory of the Volga Carbon Polygon (Republic of Tatarstan, Russia) B. Usmanov et al. 10.1051/e3sconf/202346302021
13. A non-destructive method for rapid acquisition of grassland aboveground biomass for satellite ground verification using UAV RGB images H. Zhang et al. 10.1016/j.gecco.2022.e01999
14. Estimation of Aboveground Biomass Stock in Tropical Savannas Using Photogrammetric Imaging R. de Queiroz et al. 10.3390/drones7080493
15. High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry W. Zhang et al. 10.3390/drones6070158
16. A Novel Enhanced VGG16 Model to Tackle Grapevine Leaves Diseases With Automatic Method S. Mousavi & G. Farahani 10.1109/ACCESS.2022.3215639