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Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season.

, , , , , , , , , , , and . Remote. Sens., 14 (4): 909 (2022)

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Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season., , , , , , , , , and 2 other author(s). Remote. Sens., 14 (4): 909 (2022)Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity., , , , , , , , and . Remote. Sens., 10 (5): 714 (2018)Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features., , , , , , and . Remote Sensing, 10 (7): 1082 (2018)Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging., , , , , , , , , and 4 other author(s). Remote. Sens., 10 (2): 338 (2018)A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images., , , , , , , and . Remote. Sens., 15 (14): 3582 (July 2023)Applying Different Remote Sensing Data to Determine Relative Biomass Estimations of Cereals for Precision Fertilization Task Generation., , , , and . HAICTA, volume 2030 of CEUR Workshop Proceedings, page 670-680. CEUR-WS.org, (2017)Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images., , , , , , , , , and 3 other author(s). Remote. Sens., 15 (20): 4928 (October 2023)Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases., , , , , , , , , and . Remote. Sens., 13 (7): 1238 (2021)Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks., , , , , , , , , and 1 other author(s). Remote. Sens., 14 (11): 2692 (2022)Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level., , , , , , , , , and . Remote. Sens., 7 (11): 15467-15493 (2015)