Predicting inter-seasonal aboveground grass biomass using Sentinel-2 MSI and machine learning in the Umngeni catchment, KwaZulu-Natal, South Africa.
| dc.contributor.advisor | Lottering, Romano Trent. | |
| dc.contributor.advisor | Mutanga, Onisimo. | |
| dc.contributor.author | Vawda, Mohamed Ismail. | |
| dc.date.accessioned | 2023-07-27T13:59:51Z | |
| dc.date.available | 2023-07-27T13:59:51Z | |
| dc.date.created | 2023 | |
| dc.date.issued | 2023 | |
| dc.description | Masters Degree. University of KwaZulu-Natal, Pietermaritzburg. | en_US |
| dc.description.abstract | Abstract available in PDF. | en_US |
| dc.identifier.uri | https://researchspace.ukzn.ac.za/handle/10413/22027 | |
| dc.language.iso | en | en_US |
| dc.subject.other | Grasslands. | en_US |
| dc.subject.other | Convolutional Neural Network. | en_US |
| dc.subject.other | Artificial Neural Network. | en_US |
| dc.subject.other | Grassland productivity monitoring. | en_US |
| dc.title | Predicting inter-seasonal aboveground grass biomass using Sentinel-2 MSI and machine learning in the Umngeni catchment, KwaZulu-Natal, South Africa. | en_US |
| dc.type | Thesis | en_US |