Kwanele Phinzi
Biographic Data
| ID | 3558753 |
|---|---|
| NAME | Kwanele Phinzi |
| GIVEN NAMES | Kwanele |
| FAMILY NAME | Phinzi |
| SIGNATURE | PHINZI K |
| AFFILIATIONS | University of Debrecen |
| ORCID | 0000-0003-1865-7011 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Urbanization in Algeria: Toward a More Balanced and Sustainable Urban Network
Before colonization, Algeria was primarily a rural country with a nomadic and semi-nomadic population. However, significant changes occurred during and after the colonial era as modernization efforts were implemented. This paper provides a regional overview of Algeria's pre-and post-millennium urban development based on census population data expressing the quantitative side of urbanization. Our analysis focuses on three aspects: regional structu…
Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using Rusle and random forest algorithm
The Revised Universal Soil Loss Equation (RUSLE), based on remotely sensed data, is an important tool for assessing erosion prone areas and serves as a guide towards soil conservation efforts. Besides being a crucial data source from which RUSLE parameters can be derived, remotely sensed data can also be used independently to delineate erosion features. This study aims to assess soil erosion risk in the Umzintlava catchment using two independent …
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach
Gullies reduce both the quality and quantity of productive land, posing a serious threat to sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are essential tools in the identification of gullies and can assist in strategic decision-making relevant to soil conservation. Nevertheless, accurate identification of gullies is a function of the selected ML algorithms, the image and number of classes used, i.e., binary (two …
Urbanization in Algeria: Toward a More Balanced and Sustainable Urban Network
Before colonization, Algeria was primarily a rural country with a nomadic and semi-nomadic population. However, significant changes occurred during and after the colonial era as modernization efforts were implemented. This paper provides a regional overview of Algeria's pre-and post-millennium urban development based on census population data expressing the quantitative side of urbanization. Our analysis focuses on three aspects: regional structu…
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach
Gullies reduce both the quality and quantity of productive land, posing a serious threat to sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are essential tools in the identification of gullies and can assist in strategic decision-making relevant to soil conservation. Nevertheless, accurate identification of gullies is a function of the selected ML algorithms, the image and number of classes used, i.e., binary (two …
Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using Rusle and random forest algorithm
The Revised Universal Soil Loss Equation (RUSLE), based on remotely sensed data, is an important tool for assessing erosion prone areas and serves as a guide towards soil conservation efforts. Besides being a crucial data source from which RUSLE parameters can be derived, remotely sensed data can also be used independently to delineate erosion features. This study aims to assess soil erosion risk in the Umzintlava catchment using two independent …
Urbanization in Algeria: Toward a More Balanced and Sustainable Urban Network
Before colonization, Algeria was primarily a rural country with a nomadic and semi-nomadic population. However, significant changes occurred during and after the colonial era as modernization efforts were implemented. This paper provides a regional overview of Algeria's pre-and post-millennium urban development based on census population data expressing the quantitative side of urbanization. Our analysis focuses on three aspects: regional structu…
Geography (3 works) · Remote sensing (2 works) · Soil erosion and sediment transport (2 works) · Artificial Intelligence (1 works) · Binary classification (1 works) · Binary number (1 works) · Cartography (1 works) · Census (1 works) · Computer Science (1 works) · Demography (1 works)