Browsing by Author "Paidamwoyo Mhangara"
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Item Advance in vegetation mapping through remote sensing and machne learning techniques a scientometric review(ASSOC ITALIANA TELERILEVAMENTO) Charles Matyukira; Paidamwoyo MhangaraItem Advances in vegitation mapping through remote sensing and machine learning techniques a scientometric review(ASSOC ITALIANA TELERILEVAMENTO) Charles Matyukira; Paidamwoyo MhangaraItem Analysis if Urban Sprawl Dynamics uisng machine learning CAMarkov Chain and the Shannon Entropy model a case study in Mbombela City South AfricaPaidamwoyo Mhangara; Eskinder Sintayehu; Rabia ManjooItem Analysis of urban sprawl dynamics using machine learning CAMarkov chain and the Shannon entropy model a case study in Mbombela City South AfricaPaidamwoyo Mhangara; Eskinder Sintayehu; Rabia ManjooItem Changes in total and per capital ecosystem service value in response to land use land cover dynamics in norht central EthopiaE Birhane; E Negash; T Getachew; H Gebrewahed; E Gidey; Eskinder Sintayehu; M Gebremedhin; M Gebremedhin; Paidamwoyo MhangaraItem Changes in totla and percapital ecosystem service value in response to landuse land cover dynamics in north central EthopiaE Birhane; E Negash; T Getachew; H Gebrewahed; Eskinder Sintayehu; M Gebremedhin; Paidamwoyo MhangaraItem First time calcultation of the spatial distribution of concentration and air quality index over South Africa using TROPOMI dataLerato Shikwambana; M Kganyago; N Mbatha; Paidamwoyo MhangaraItem Global Advancements in the Management and Treatment of Acid Mine DrainageBeatrice Otunola; Paidamwoyo MhangaraItem Grassland biome fragmantation analysis using sentinal2images and support vector machine learning model in South AfricaAndisani Netsianda; Paidamwoyo Mhangara; Eskinder SintayehuItem Modelling topographic influences on vegitation vigour in the Cradle Nature Reserve Gauteng ProvinceSouth Africa(TAYLOR & FRANCIS LTD) Charles Matyukira; Paidamwoyo Mhangara; Eskinder SintayehuItem Monitoring the invasionof Campuloclinium macrocephalumless DC plants using a novel MaxEnt and machine learning ensemble in teh Cracdle Nature Reserve South AfricaBenjamin Makobe; Paidamwoyo Mhangara; Eskinder Sintayehu; M KganyagoItem Optical remote sensing of crop biophysical and biochemical parameters An overview of advances in sesnor technologies and machine learning algorithms for precision agriculture(ELSEVIER SCI LTD) Mahlatse Kganyago; Clement Adjorlolo; Paidamwoyo Mhangara; L TsoelengItem Optimizing Sentinel2feature space for improved crop biophysical and biochemical variables retrieval using the novel spectral triad feature selection algorithm(TAYLOR & FRANCIS LTD) Mahlatse Kganyago; Clement Adjorlolo; Paidamwoyo MhangaraItem Research article Monitoring the trends in emissions from coalfired power stations in Lephalale Limpopo during the 2010 2022 period using remotely sensed dataZ Keli; Paidamwoyo Mhangara; Lerato ShikwambanaItem Seasonal and trend variation of methane concentration ove two provinces of South Africa using Sentinel5pdata(SPRINGER) Swelihle Sibiya; Paidamwoyo Mhangara; Lerato ShikwambanaItem Systematic review of government strategies for sustainable crop production in Botswana navigating climate change challengesBoitshwarelo Masocha; Paidamwoyo Mhangara; B Matlhodi; Daniel Mmereki; O DikinyaItem Utilising RGB drone imagery and vegitation indices for accurate aboveground biomass estimation a case study of the cradle nature reserve Gauteng Province South Africa(TAYLOR & FRANCIS LTD) Charles Matyukira; Paidamwoyo Mhangara