Search Results - "Niekerk, Adriaan van"

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  1. 1

    Digital Elevation Models: Terminology and Definitions by Guth, Peter L, Niekerk, Adriaan Van, Grohmann, Carlos H, Muller, Jan-Peter, Hawker, Laurence, Florinsky, Igor V, Gesch, Dean, Reuter, Hannes I, Herrera-Cruz, Virginia, Riazanoff, Serge, López-Vázquez, Carlos, Carabajal, Claudia C, Albinet, Clement, Strobl, Peter

    Published in Remote sensing (Basel, Switzerland) (08-09-2021)
    “…Digital elevation models (DEMs) provide fundamental depictions of the three-dimensionalshape of the Earth’s surface and are useful to a wide range of…”
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    Journal Article
  2. 2

    Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques by Gilbertson, Jason Kane, Kemp, Jaco, van Niekerk, Adriaan

    Published in Computers and electronics in agriculture (01-03-2017)
    “…•Machine learning can be employed to accurately differentiate between crops (∼95%).•Pan-sharpening Landsat 8 imagery dramatically improves crop classification…”
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    Journal Article
  3. 3

    Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water by Bangira, Tsitsi, Alfieri, Silvia Maria, Menenti, Massimo, van Niekerk, Adriaan

    Published in Remote sensing (Basel, Switzerland) (01-06-2019)
    “…Small reservoirs play an important role in mining, industries, and agriculture, but storage levels or stage changes are very dynamic. Accurate and up-to-date…”
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    Journal Article
  4. 4

    Efficacy of multi-season Sentinel-2 imagery for compositional vegetation classification by Macintyre, Paul, van Niekerk, Adriaan, Mucina, Ladislav

    “…•Sentinel-2 imagery is effective at classifying compositional vegetation patterns.•Compositional patterns are finer than land use/land cover…”
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  5. 5

    Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria by Adeniyi, Sunday Adenrele, de Clercq, Willem Petrus, van Niekerk, Adriaan

    Published in Solid earth (Göttingen) (09-08-2017)
    “…Cocoa agroecosystems are a major land-use type in the tropical rainforest belt of West Africa, reportedly associated with several ecological changes, including…”
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    Journal Article
  6. 6

    Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning by Higgs, Caley, van Niekerk, Adriaan

    Published in Remote sensing (Basel, Switzerland) (01-08-2022)
    “…Forest plantations in South Africa impose genus-specific demands on limited soil moisture. Hence, plantation composition and distribution mapping is critical…”
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  7. 7

    Estimating impacts of land cover change on erosion in a data-scarce catchment: Bot River, South Africa by de Waal, Jan, Watson, Andrew, Miller, Jodie, van Niekerk, Adriaan

    Published in Hydrological sciences journal (25-10-2024)
    “…Rainfall intensity and land use changes and from natural vegetation to cultivated fields both impact on river streamflows and sediment dynamics. Assessing the…”
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  8. 8

    Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms by Prins, Adriaan Jacobus, Van Niekerk, Adriaan

    Published in Geo-spatial information science (03-04-2021)
    “…LiDAR data are becoming increasingly available, which has opened up many new applications. One such application is crop type mapping. Accurate crop type maps…”
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  9. 9

    Feature clustering and ranking for selecting stable features from high dimensional remotely sensed data by Harris, Dugal, Van Niekerk, Adriaan

    Published in International journal of remote sensing (02-12-2018)
    “…High dimensional remote sensing data sets typically contain redundancy amongst the features. Traditional approaches to feature selection are prone to…”
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    Journal Article
  10. 10

    Spectral Discrimination of Common Karoo Shrub and Grass Species Using Spectroscopic Data by Harmse, Christiaan Johannes, van Niekerk, Adriaan

    Published in Remote sensing (Basel, Switzerland) (01-10-2024)
    “…Rangelands represent about 25% of the Earth’s land surface but are under severe pressure. Rangeland degradation is a gradually increasing global environmental…”
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  11. 11

    Nutritional quality of wet distillers’ grains co–ensiled with whole–plant maize and its feeding value for lambs by Moyo, Robin, Niekerk, Willem Adriaan van, Hassen, Abubeker, Toit, Cornelius Jacobus Lindeque du, Coertze, Roelf, Adejoro, Festus Adeyemi

    Published in Scientia agricola (01-01-2022)
    “…The high moisture content of wet distillers’ grains with solubles (WDGS) has limited its feeding value despite the relatively high nutritive value. The…”
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  13. 13

    Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery for Quantifying Localized Overgrazing in a Semi-Arid Region of South Africa by Harmse, Christiaan J., Gerber, Hannes, van Niekerk, Adriaan

    Published in Remote sensing (Basel, Switzerland) (01-04-2022)
    “…Rangeland monitoring aims to determine whether grazing management strategies meet the goals of sustainable resource utilization. The development of sustainable…”
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    Journal Article
  14. 14

    Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa by Musakwa, Walter, Niekerk, Adriaan Van

    Published in Cities (01-06-2013)
    “…► Land use change, land use mix, land use frequency are indicators of sustainability. ► Findings show that land use change has a bearing on sustainable urban…”
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    Journal Article
  15. 15

    Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data by Poona, Nitesh Keshavelal, van Niekerk, Adriaan, Nadel, Ryan Leslie, Ismail, Riyad

    Published in Applied spectroscopy (01-02-2016)
    “…Hyperspectral data collected using a field spectroradiometer was used to model asymptomatic stress in Pinus radiata and Pinus patula seedlings infected with…”
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  16. 16

    Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data by Poona, Nitesh, van Niekerk, Adriaan, Ismail, Riyad

    Published in Sensors (Basel, Switzerland) (15-11-2016)
    “…Ensemble classifiers are being widely used for the classification of spectroscopic data. In this regard, the random forest (RF) ensemble has been successfully…”
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  17. 17

    Analysing DEM errors over an urban region across various scales with different elevation sources by Breytenbach, André, Van Niekerk, Adriaan

    Published in South African geographical journal (03-05-2020)
    “…With scant information available on domestic DEM quality and suitable evaluation methods, particularly in city regions, this study set out to evaluate and…”
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    Journal Article
  18. 18

    Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series by Bangira, Tsitsi, Iannini, Lorenzo, Menenti, Massimo, van Niekerk, Adriaan, Vekerdy, Zoltan

    “…Deployment of Sentinel-1 (S1) satellite constellation carrying a <inline-formula><tex-math notation="LaTeX">C</tex-math></inline-formula>-band synthetic…”
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  19. 19

    Earth Observation for Sustainable Urban Planning in Developing Countries: Needs, Trends, and Future Directions by Musakwa, Walter, van Niekerk, Adriaan

    Published in Journal of planning literature (01-05-2015)
    “…Cities are constantly changing and authorities face immense challenges in obtaining accurate and timely data to effectively manage urban areas. This is…”
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  20. 20

    Assessing the influence of DEM source on derived streamline and catchment boundary accuracy by Van Niekerk, Adriaan, De Clercq, Willem Petrus, Mashimbye, Zama Eric

    Published in Water S. A. (01-10-2019)
    “…Accurate DEM-derived streamlines and catchment boundaries are essential for hydrological modelling. Due to the popularity of hydrological parameters derived…”
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