Kabir Peerbhay
Biographic Data
| ID | 9612829 |
|---|---|
| NAME | Kabir Peerbhay |
| GIVEN NAMES | Kabir |
| FAMILY NAME | Peerbhay |
| SIGNATURE | PEERBHAY K |
| AFFILIATIONS | University of KwaZulu-Natal |
| ORCID | 0000-0001-7842-6130 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring forest rehabilitation and restoration
Ecosystem services are essential to global environmental policy, highlighting the critical role of forests as providers of these services. However, extensive deforestation threatens access to these vital services. This underscores the urgent need for comprehensive forest management practices, highlighting forest rehabilitation and restoration as essential strategies. These approaches require context-specific planning and consideration of various …
Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform
Planted forests in South Africa have been affected by an increasing number of economically damaging fires over the past four decades. They constitute a major threat to the forestry industry and account for over 80% of the country’s commercial timber losses. Forest fires are more frequent and severe during the drier drought conditions that are typical in South Africa. For proper forest management, accurate detection and mapping of burned areas are…
Testing the value of freely available Landsat 8 Operational Land Imager (OLI) and OLI pan-sharpened imagery in discriminating commercial forest species
The adoption of remotely sensed data in forest applications has grown significantly. Whereas high spatial resolution sensors have been successful in mapping and monitoring commercial forests, their cost, accessibility, and spatial coverage remain a critical challenge. Hence, it is was necessary to investigate the value of new and improved freely available sensors in forest species mapping using the Partial Least Square-Discriminant Analysis (PLS-…
No prominent works on this page.
Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform
Planted forests in South Africa have been affected by an increasing number of economically damaging fires over the past four decades. They constitute a major threat to the forestry industry and account for over 80% of the country’s commercial timber losses. Forest fires are more frequent and severe during the drier drought conditions that are typical in South Africa. For proper forest management, accurate detection and mapping of burned areas are…
Testing the value of freely available Landsat 8 Operational Land Imager (OLI) and OLI pan-sharpened imagery in discriminating commercial forest species
The adoption of remotely sensed data in forest applications has grown significantly. Whereas high spatial resolution sensors have been successful in mapping and monitoring commercial forests, their cost, accessibility, and spatial coverage remain a critical challenge. Hence, it is was necessary to investigate the value of new and improved freely available sensors in forest species mapping using the Partial Least Square-Discriminant Analysis (PLS-…
Exploring forest rehabilitation and restoration
Ecosystem services are essential to global environmental policy, highlighting the critical role of forests as providers of these services. However, extensive deforestation threatens access to these vital services. This underscores the urgent need for comprehensive forest management practices, highlighting forest rehabilitation and restoration as essential strategies. These approaches require context-specific planning and consideration of various …
Environmental Science (2 works) · Forestry (2 works) · Geography (2 works) · Remote sensing (2 works) · Remote Sensing in Agriculture (2 works) · Advanced Image Fusion Techniques (1 work) · Cape (1 work) · Cartography (1 work) · Conservation, Biodiversity, and Resource Management (1 work) · Fire effects on ecosystems (1 work)