Channels :: FRELIP Discovery

Author: Luck-Vogel, Melanie

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Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay

Similar Items: Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay

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Proposal and prototype electronics for Sunsat Mark II imager
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Investigating the utility of LiDAR for modelling forest canopy gaps and species classification
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System design of the MeerKAT L - band 3D radar for monitoring near earth objects
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2-D and 3-D proximal remote sensing for yield estimation in a Shiraz vineyard
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Concise analysis and testing of a software model of a satellite remote sensing system used for image generation
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Mapping surface water in complex and heterogeneous environments using remote sensing
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The use of remote sensing and GIS in the identification and vulnerability detection of coastal erosion as a hazard in False Bay, South Africa
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Efficacy of machine learning and lidar data for crop type mapping
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Calibration of airborne L-, X-, and P-band fully polarimetric SAR systems using various corner reflectors
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Integration and testing of a digital transceiver for a dual frequency, pulse-doppler radar
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Remote sensing approach for examining changes in water use in relation to climate variability and land cover change
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Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification
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Testing the ability of ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) to map hydrothermal alteration zones : a case study of the Haib Porphyry Copper-Molybdenum Deposit, Namibia
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Die identifisering en kartering van wingerde in Suidwes-Kaapland met behulp van Landsatgegewens
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Processing of onboard images to assist automatic forward motion compensation for micro-satellites
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Assessing the extent of and changes in the wildlife sector in Limpopo province, South Africa
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Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation
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A low-cost rice mapping remote sensing based algorithm
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A study of within-vineyard variability with conventional and remote sensing technology
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A machine learning-remote sensing framework for modelling water stress in Shiraz vineyards
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Discriminating between forest plantation genera using remote sensing and machine learning algorithms
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A remote sensing-machine learning framework for modelling forest health
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Flood mapping in the Zambezi Region using Synthetic Aperture Radar
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Assessment of coastal vegetation degradation using remote sensing in False Bay, South Africa