Search Results - "Niekerk, Adriaan"
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1
Drought and life‐history strategies in Heliophila (Brassicaceae)
Published in The New phytologist (01-01-2024)Get full text
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Digital Elevation Models: Terminology and Definitions
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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Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa
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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An evaluation of digital elevation models (DEMs) for delineating land components
Published in Geoderma (01-01-2014)“…Land component boundaries often coincide with transitions in environmental land properties such as soil, climate and biology. Image segmentation is an…”
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Monitoring sustainable urban development using built-up area indicators: a case study of Stellenbosch, South Africa
Published in Environment, development and sustainability (01-06-2015)“…Rapid urbanisation in many developing countries causes land transformation from agricultural, rural, and natural landscapes into urban areas. Data to monitor…”
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Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques
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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Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water
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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Efficacy of multi-season Sentinel-2 imagery for compositional vegetation classification
Published in International journal of applied earth observation and geoinformation (01-03-2020)“…•Sentinel-2 imagery is effective at classifying compositional vegetation patterns.•Compositional patterns are finer than land use/land cover…”
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Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning
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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Estimating impacts of land cover change on erosion in a data-scarce catchment: Bot River, South Africa
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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Earth Observation for Sustainable Urban Planning in Developing Countries: Needs, Trends, and Future Directions
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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Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms
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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Feature clustering and ranking for selecting stable features from high dimensional remotely sensed data
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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Spectral Discrimination of Common Karoo Shrub and Grass Species Using Spectroscopic Data
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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Technology Smart Approach to Keep Drip Irrigation Systems Functional
Published in Irrigation and drainage (01-02-2018)“…Innovative technology that uses ultrasonic sound to clean drip pipes was developed to embrace the efficiencies offered by drip irrigation in order to preserve…”
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Incorporating risk mapping at multiple spatial scales into eradication management plans
Published in Biological invasions (01-03-2014)“…The success of pro-active management of invasive plants depends on the ability to rapidly detect invasive populations and individuals. However, the factors…”
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Nutritional quality of wet distillers’ grains co–ensiled with whole–plant maize and its feeding value for lambs
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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Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery for Quantifying Localized Overgrazing in a Semi-Arid Region of South Africa
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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Vegetation patterns and hydro-geological drivers of freshwater rock pool communities in the monsoon-tropical Kimberley region, Western Australia
Published in Journal of vegetation science (01-11-2015)“…Question: Freshwater rock pools (FRP) are small highly stressed wetland habitats that harbour many range-restricted and specialized plants. We examined the…”
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Effects of climate change on species turnover and body mass frequency distributions of South African bird communities
Published in African journal of ecology (01-03-2015)“…Climate change will lead to substantial shifts in species distributions. Most of the predictions of shifting distributions rely on modelling future…”
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