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Browsing by Author "Debba, Pravesh"

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Abundance estimation of spectrally similar minerals

Author: Debba, Pravesh Date: Jul 2009 This paper evaluates a spectral unmixing method for estimating the partial abundance of spectrally similar minerals in complex mixtures. The method requires formulation of a linear function of individual spectra of individual minerals. The ... Read more
The applicability of the South African census 2011 data for evidence-based urban planning

Author: Khuluse-Makhanya, Sibusisiwe ; Dudeni-Tlhone, Nontembeko ; Holloway, Jennifer P ; Schmitz, P ; Waldeck, Louis ; Stein, A ; Debba, Pravesh ; Stylianides, Theo ; Du Plessis, Pierre ; Cooper, Antony K ; Baloyi, Ethel Date: Jun 2016 In urban planning it is important to understand settlements in terms of demographic, socio-economic, physical and political environmental characteristics. The objective is often to support municipalities, regional and national governments ... Read more
Are Earth Sciences lagging behind in data integration methodologies?

Author: Paasche, H ; Eberle, D ; Das, Sonali ; Cooper, Antony K ; Debba, Pravesh ; Dietrich, P ; Dudeni-Thlone, N ; Gläßer, C ; Kijko, A ; Knobloch, A ; Lausch, A ; Meyer, U ; Smit, A ; Stettler, A ; Werban, U Date: Nov 2013 This article reflects discussions German and South African Earth scientists, statisticians and risk analysts had on occasion of two bilateral workshops on Data Integration Technologies for Earth System Modelling and Resource Management. The ... Read more
Assessing the effects of subtropical forest fragmentation on leaf nitrogen distribution using remote sensing data

Author: Cho, Moses A ; Ramoelo, Abel ; Debba, Pravesh ; Mutanga, O ; Mathieu, Renaud SA ; Van Deventer, Heidi ; Ndlovu, N Date: Oct 2013 Subtropical forest loss resulting from conversion of forest to other land-cover types such as grassland, secondary forest, subsistence crop farms and small forest patches affects leaf nitrogen (N) stocks in the landscape. This study explores ... Read more
Assessment of accuracy: systematic reduction of training points for maximum likelihood classification and mixture discriminant analysis (Gaussian and t-distribution)

Author: Ritchie, Michaela C ; Debba, Pravesh ; Lück-Vogel, Melanie ; Goodall, V Date: Sep 2018 Remote sensing provides a valuable tool for monitoring land cover across large areas of land. A simple yet popular method for land cover classification is Maximum Likelihood Classification (MLC), which assumes a single normal distribution of ... Read more
Bayesian structural time-series approach to a long-term electricity demand forecasting

Author: Mokilane, P.M. ; Debba, Pravesh ; Venkata, Y.S.S. ; Sigauke, C Date: Mar 2019 The paper presents an application of Bayesian structural time-series model to forecast long-term electricity demand. Accurate trend specification in long-term forecasting is important; otherwise erroneous forecasts could be obtained especially ... Read more
Classification of remotely sensed images

Author: Dudeni, N ; Debba, Pravesh Date: Oct 2008 For this research, the researchers examine various existing image classification algorithms with the aim of demonstrating how these algorithms can be applied to remote sensing images. These algorithms are broadly divided into supervised and ... Read more
Combining binary classifiers to improve tree species discrimination at leaf level

Author: Dastile, X ; Jäger, G ; Debba, Pravesh ; Cho, Moses A Date: Nov 2012 This paper focuses on the discrimination of seven different savannah tree species at leaf level using hyperspectral data. The data is small in size, high-dimensional and shows large within-species variability combined with small between species ... Read more
Comparison between statistical and optimization methods in accessing unmixing of spectrally similar materials

Author: Debba, Pravesh ; Maina, J ; Willemse, E Date: Nov 2010 This paper reports on the results from ordinary least squares and ridge regression as statistical methods, and is compared to numerical optimization methods such as the stochastic method for global optimization, simulated annealing, particle ... Read more
Comparison study of design rainfall mapping using ordinary kriging and kriging with external drift

Author: Khuluse, S ; Stein, A ; Debba, Pravesh Date: Mar 2011 Early development of Extreme Value Theory (EVT) was motivated by a need to quantify the probability of unusually large (or small) events in hydrology and climatology. The current challenge in modelling extremes is how to adequately account ... Read more
Debba China presentation on optimal field sampling for exploration targets and geochemicals

Author: Debba, Pravesh Date: Oct 2008 A presentation was done at the Chinese Academy of Geological Science in October 2008 on optimal field sampling for both exploration targets and sampling for geochemicals in mine tailing areas Read more
Density forecasting for long-term electricity demand in South Africa using quantile regression

Author: Mokilane, Paul M ; Galpin, J ; Sarma Yadavalli, VS ; Debba, Pravesh ; Koen, Renée ; Sibiya, Siphamandla Date: Mar 2018 This study involves forecasting electricity demand for long-term planning purposes. Long-term forecasts for hourly electricity demands from 2006 to 2023 are done with in-sample forecasts from 2006 to 2012 and out of sample forecasts from 2013 ... Read more
Deriving optimal exploration target zones on mineral prospectivity maps

Author: Debba, Pravesh ; Carranza, EJM ; Stein, A ; Van der Meer, FD Date: Aug 2008 This paper describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. The methodology is demonstrated in the Rodalquilar mineral district in Spain. A subset of known ... Read more
Designing optimal sampling schemes for field visits

Author: Debba, Pravesh Date: Oct 2008 This is a presentation of a statistical method for deriving optimal spatial sampling schemes. The research focuses on ground verification of minerals derived from hyperspectral data. Spectral angle mapper (SAM) and spectral feature fitting ... Read more
Distinguishing tree species from in situ hyperspectral and temporal measurements through ensemble statistical learning

Author: Dudeni-Tlhone, Nontembeko ; Mutanga, O ; Debba, Pravesh ; Cho, Moses A Date: Aug 2023 Hyperspectral sensors capture and compute spectral reflectance of objects over many wavelength bands, resulting in a high-dimensional space with enough information to differentiate between spectrally similar objects. Due to the curse of ... Read more
Earth Observation for Biodiversity Assessment (EO-BA)

Author: Cho, Moses A ; Debba, Pravesh ; Mathieu, Renaud SA ; Ramoelo, Abel ; Naidoo, Laven ; Van Deventer, Heidi ; Malahlela, O ; Mathieu, Renaud SA Date: Oct 2012 The Earth Observation for Biodiversity Assessment (EO-BA) programme is designed to enhance biodiversity assessment and conservation through the application of earth observation data, with particular focus on the African continent. Read more
Ensemble classification for identifying neighbourhood sources of fugitive dust and associations with observed PM10

Author: Khuluse-Makhanya, Sibusisiwe A ; Stein, A ; Breytenbach, Andre ; Gxumisa, Athi A ; Dudeni-Tlhone, Nontembeko ; Debba, Pravesh Date: Oct 2017 In urban areas the deterioration of air quality as a result of fugitive dust receives less attention than the more prominent traffic and industrial emissions. We assessed whether fugitive dust emission sources in the neighbourhood of an air ... Read more
Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees

Author: Dudeni, N ; Debba, Pravesh Date: Aug 2009 Deterministic and stochastic measures of spectral similarity are essential for determining both the geometric characteristics of spectra and variability, respectively. Deterministic measures such as Spectral Angle Mapper (SAM) are useful in ... Read more
Field Sampling from a Segmented Image

Author: Debba, Pravesh ; Stein, A ; Van der Meer, FD ; Carranza, EJM ; Lucieer, A Date: Jun 2008 This paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) is used for segmentation ... Read more
Field sampling scheme optimization using simulated annealing

Author: Debba, Pravesh Date: Oct 2010 This chapter discusses the methodology of using simulated annealing in deriving optimal sampling schemes to target a specific mineral, for example, alunite. Read more

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