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S

Sabelo Madonsela

university of johannesburg

9H指数
24论文数
680被引数
收录论文 13
发表时间
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Determining the sensitivity of Sentinel-2 bands to optically and non-optically active water quality parameters under high- and low-flow conditions in the cradle of Humankind World Heritage Site, South Africa确定南非人类摇篮世界遗产地高、低流速条件下Sentinel-2波段对光学和非光学活性水质参数的敏感性
errGeocarto International
IF3.5
err2026-04-29
err0
errOAAI
errSinesipho Ngamile; Mahlatse Kganyago; Sabelo Madonsela; Vuyelwa Mvandaba
err分享
err收藏
Corrigendum to ‘Can Sentinel-2-derived spectral indices improve the accuracy of retrieving optically active water quality parameters using machine learning algorithms?’ [J. Hydrol.: Reg. Stud. 65 (2026) 103356]勘误：‘Can Sentinel-2-derived spectral indices improve the accuracy of retrieving optically active water quality parameters using machine learning algorithms?’ [J. Hydrol.: Reg. Stud. 65 (2026) 103356]
errjournal of hydrology: regional studies
IF0
err2026-03-26
err0
errOAAI
errElizabeth Modjadji Rathupetsane; Mahlatse Kganyago; Sabelo Madonsela; Vuyelwa Mvandaba
err分享
err收藏
Can Sentinel-2-derived spectral indices improve the accuracy of retrieving optically active water quality parameters using machine learning algorithms?能否利用Sentinel-2导出的光谱指数，通过机器学习算法提高光学活性水质参数的反演精度？
errjournal of hydrology: regional studies
IF0
err2026-03-19
err0
errOAAI
errElizabeth Modjadji Rathupetsane; Mahlatse Kganyago; Sabelo Madonsela; Vuyelwa Mvandaba
err分享
err收藏
Characterising the spatio-temporal patterns of water quality parameters in the cradle of humankind world heritage site using Sentinel-2 and random forest regressor使用Sentinel-2和随机森林回归器表征人类摇篮世界遗产地水质参数的时空模式
errFrontiers in Remote Sensing
IF3.7
err2025-08-22
err0
errOAAI
errSinesipho Ngamile; Mahlatse Kganyago; Sabelo Madonsela; Vuyelwa Mvandaba
err分享
err收藏
Trends in remote sensing of water quality parameters in inland water bodies: a systematic review
errFRONTIERS IN ENVIRONMENTAL SCIENCE
IF3.7
err2025-03-03
err0
errOAAI
errNgamile, Sinesipho; Madonsela, Sabelo; Kganyago, Mahlatse
err分享
err收藏
Mapping weed infestation in maize fields using Sentinel-2 data
errPHYSICS AND CHEMISTRY OF THE EARTH
IF4.1
err2024-06-01
err2
PREAI
errMkhize, Yoliswa; Madonsela, Sabelo; Cho, Moses; Nondlazi, Basanda; Main, Russell; Ramoelo, Abel
err分享
err收藏
Machine learning modelling of crop structure within the Maize Triangle of South Africa
errINTERNATIONAL JOURNAL OF REMOTE SENSING
IF2.6
err2022-01-09
err4
PREAI
errNaidoo, Laven; Main, Russell; Cho, Moses A.; Madonsela, Sabelo; Majozi, Nobuhle
err分享
err收藏
Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa
errPHYSICS AND CHEMISTRY OF THE EARTH
IF4.1
err2021-12-01
err14
PREAI
errNzuza, P.; Ramoelo, A.; Odindi, J.; Kahinda, J. Mwenge; Madonsela, S.
err分享
err收藏
The delineation of alluvial aquifers towards a better understanding of channel transmission losses in the Limpopo River Basin
errPHYSICS AND CHEMISTRY OF THE EARTH
IF4.1
err2018-12-01
err5
PREAI
errMvandaba, V.; Hughes, D.; Kapangaziwiri, E.; Kahinda, J. Mwenge; Hobbs, P.; Madonsela, S.; Oosthuizen, N.
err分享
err收藏
Estimating tree species diversity in the savannah using NDVI and woody canopy cover使用NDVI和木质冠层覆盖估算稀树草原的树种多样性
errINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
IF8.6
err2018-04-01
err59
PREAI
errMadonsela, Sabelo; Cho, Moses Azong; Ramoelo, Abel; Mutanga, Onisimo; Naidoo, Laven
err分享
err收藏
Remote sensing of species diversity using Landsat 8 spectral variables使用Landsat 8光谱变量遥感物种多样性
errISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
IF12.2
err2017-11-01
err88
errOAAI
errMadonsela, Sabelo; Cho, Moses Azong; Ramoelo, Abel; Mutanga, Onisimo
err分享
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Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species多物候WorldView-2影像改善热带稀树草原树种的遥感
errINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
IF8.6
err2017-06-01
err91
errOAAI
errMadonsela, Sabelo; Cho, Moses Azong; Mathieu, Renaud; Mutanga, Onisimo; Ramoelo, Abel; Kaszta, Zaneta; Van de Kerchove, Ruben; Wolff, Eleonore
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Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and World View-2 data使用随机森林模型和World View-2数据监测草养分和生物量作为牧场质量和数量的指标
errINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
IF8.6
err2015-12-01
err172
PREAI
errRamoelo, Abel; Cho, M. A.; Mathieu, R.; Madonsela, S.; van de Kerchove, R.; Kaszta, Z.; Wolff, E.
err分享
err收藏

研究方向

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