Automated Space-mapping framework for electromagnetic device optimisation by Wolsky, David William

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Landslide susceptibility mapping : remote sensing and GIS approach by Tyoda, Zipho

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Image understanding and feature extraction for applications in industry and mapping by Calitz, Michaelangelo Franco

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Real-time occupancy grid mapping using LSD-SLAM by Hull, Graham

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Design and optimization of gap waveguides components through space mapping by Sibanda, Clifford

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A low-cost rice mapping remote sensing based algorithm by Elshorbagy, Ashraf Mohamed Abdelaziz

“…In order to reflect this, a ∆-parameter was introduced. The adopted criteria for rice mapping was LSWI + ∆> NDVI or LSWI + ∆> EVI. …”
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An earth observation approach for mapping indigenous and plantation forests at regional scale by Ndyafi, Vincent Chimbunde

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A synthesis of the coastal geophysical characteristics of sandy beaches along the South African coastline by Van der Merwe, Colette

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An evaluation of Landsat MSS data for ecological land classification and mapping in the Northern Cape by Gubb, Andrew Alan

“…A vegetation map, accompanying legend and descriptive key were produced. …”
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Erosion phenomena on Round Island, Mauritius

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Mapping potential soil salinization using rule based object-oriented image analysis by Stals, Jacobus Petrus

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Towards high fidelity mapping of global inland water quality using earth observation data by Kravitz, Jeremy

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Stereo visual simultaneous localisation and mapping for an outdoor wheeled robot: a front-end study by Wolf, Ryan Evan

“…It is thus crucial to identify the important parameters and factors regarding a particular context as this heavily influences the necessary algorithms, processes, and hardware required for the best results. …”
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Efficacy of machine learning, earth observation and geomorphometry for mapping salt-affected soils in irrigation fields by Vermeulen, Divan

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Orchestrating standard web services to produce thematic maps in a geoportal of a spatial data infrastructure

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Consideration of factors that affect flood levels in the Tana River Delta in Kenya by Kiringu, Kuria

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Mapping soil organic carbon stocks by combining NIR spectroscopy and stochastic vertical distribution models : a case study in the Mvoti River Catchment, KZN, South Africa by Wiese, Liesl

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InSAR time series analysis and machine learning for ground subsidence monitoring and susceptibility mapping in Midvaal, South Africa by Maluleka, Thobani

“…Random Forest (RF) achieved the highest predictive accuracy with a Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and coefficient of determination (R² score) of 3.621 mm/year, 5.039 mm/year, and 84.98% respectively, identifying factors such as NDVI, lithology, and hydrological parameters as primary contributors to ground subsidence through SHapley Additive exPlanations and Frequency Ratio analysis. …”
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The effect of MAP on the growth and survival of Escherichia coli O157:H7 and Staphylococcus aureus in chilled minced beef

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