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Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry.

, , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)

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Cloud Processing for Simultaneous Mapping of Seagrass Meadows in Optically Complex and Varied Water., , , , , and . Remote. Sens., 14 (3): 609 (2022)Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis., , , , , , , , and . Remote. Sens., 8 (1): 30 (2016)Remote Sensing of Coral Reefs for Monitoring and Management: A Review., , , , , , , , , and 3 other author(s). Remote. Sens., 8 (2): 118 (2016)Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design., , , and . Remote. Sens., 4 (1): 271-302 (2012)Assessing the potential for satellite image monitoring of seagrass thermal dynamics: for inter- and shallow sub-tidal seagrasses in the inshore Great Barrier Reef World Heritage Area, Australia., , , , , and . Int. J. Digit. Earth, 11 (8): 803-824 (2018)Long term monitoring of seagrass distribution in Moreton Bay, Australia, from 1972-2010 using Landsat MSS, TM, ETM+., , and . IGARSS, page 5-8. IEEE, (2010)The AquaSat-1 Mission Concept: Actionable Information on Water Quality and Aquatic Ecosystems for Australia and Western USA., , , , , , , , , and 7 other author(s). IGARSS, page 4590-4593. IEEE, (2023)Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments., , , , , and . Remote. Sens., 7 (12): 16756-16777 (2015)The application of object based analysis of high spatial resolution imagery for mapping large coral reef systems in the West Pacific at geomorphic and benthic community spatial scales., , , , , and . IGARSS, page 4346-4349. IEEE, (2010)