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Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle.

• Authors : Dobosz, Barbara¹ (AUTHOR) ; Gozdowski, Dariusz¹ (AUTHOR) ; Koronczok, Jerzy² (AUTHOR)

• Source: Agronomy. Jan2025, Vol. 15 Issue 1, p238. 12p.

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Single tree health monitoring using uav-based lidar data

• Authors : Jonikavičius, Donatas; Augustaitis, Algirdas

Subjects: UAV; LiDAR data; Tree health

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Leaf area index estimation in maize and soybean using UAV LiDAR data.

• Authors : Luo, Shezhou¹ (AUTHOR) ; Liu, Weiwei² (AUTHOR) ; Ren, Qian² (AUTHOR)

• Source: Precision Agriculture. Aug2024, Vol. 25 Issue 4, p1915-1932. 18p.

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Evaluation of Boundary Layer Characteristics at Mount Si'e Based on UAV and Lidar Data.

• Authors : Dang, Jiantao¹ (AUTHOR) ; Xie, Xinrui² (AUTHOR) ; Wen, Xiaohang² (AUTHOR)

• Source: Remote Sensing. Oct2024, Vol. 16 Issue 20, p3816. 19p.

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Above ground biomass estimation from UAV high resolution RGB images and LiDAR data in a pine forest in Southern Italy

• Authors : Maesano, M; Santopuoli, G; Moresi, FV

Subjects: Machine Learning; Random Forest; UAV

• Source: iForest-Biogeosciences and Forestry, Vol 15, Iss 1, Pp 451-457 (2022)

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Measuring canopy morphology of saltmarsh plant patches using UAV-based LiDAR data

• Authors : Qiuxin Hong; Zhenpeng Ge; Xinkai Wang

Subjects: plant patch; canopy morphology; saltmarsh

• Source: Frontiers in Marine Science, Vol 11 (2024)

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Terrain-Net: A Highly-Efficient, Parameter-Free, and Easy-to-Use Deep Neural Network for Ground Filtering of UAV LiDAR Data in Forested Environments.

• Authors : Li, Bowen^1,2 (AUTHOR); Lu, Hao^1,2 (AUTHOR) ; Wang, Han^1,2 (AUTHOR)

• Source: Remote Sensing. Nov2022, Vol. 14 Issue 22, p5798. 17p.

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Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China

• Authors : Hao Zhong; Wenshu Lin; Haoran Liu

Subjects: hyperspectral; LiDAR; UAV

• Source: Frontiers in Plant Science, Vol 13 (2022)

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Impact of Hurricane Harvey on the Upper Texas Coast: Using Airborne Lidar Data Sets with UAV-Derived Topographic Data to Monitor Change and Track Recovery.

• Authors : Rojas, Sara S.¹ (AUTHOR); Khan, Shuhab D.¹ (AUTHOR) ; Shahtakhtinskiy, Aydin¹ (AUTHOR)

• Source: Remote Sensing. Nov2022, Vol. 14 Issue 21, p5357. 22p.

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DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data

• Authors : Chi Chen; Ang Jin; Bisheng Yang

Subjects: UAV; Power transmission lines inspection; Simulated physical processes

• Source: International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102960- (2022)

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