Chikondi Chisenga
Biographic Data
| ID | 6931918 |
|---|---|
| NAME | Chikondi Chisenga |
| GIVEN NAMES | Chikondi |
| FAMILY NAME | Chisenga |
| SIGNATURE | CHISENGA C |
| AFFILIATIONS | Malawi University of Science and Technology |
| ORCID | 0000-0001-8312-6693 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Forestry-based carbon financing mechanisms and their role in advancing sustainable forest management
Scaling forestry-based carbon financing mechanisms is crucial for sustainable forest management. • A PRISMA-guided systematic review of peer-reviewed literature on carbon financing mechanisms in forestry. • REDD+, voluntary carbon markets, and PES have varying outcomes in different regions. • Insecure land tenure and governance issues limit the effectiveness of carbon finance. • Need stronger governance and equitable benefit distribution for long…
Forest cover restoration analysis using remote sensing and machine learning in central Malawi
Forests play a crucial role in maintaining ecological balance and supporting human well-being, yet they are increasingly threatened by anthropogenic pressures. Over the past two decades (2000–2020), Malawi has experienced a 21 % decline in forest cover, necessitating urgent and effective restoration strategies. Community-led forest regeneration initiatives have emerged as a viable solution to counteract this degradation. This study employs remote…
Determinants of household participation in natural forest regeneration
Deforestation remains a prominent issue in Malawi's forest reserves and village forest areas. The Kapirimutu village forest has exhibited a significant increase in forest cover over the previous decade due to community involvement in natural forest regeneration (NFR) initiatives. This study investigates the determinants of household participation in the successful NFR initiatives in the Kapirimutu village forest, a model forest in central Malawi,…
Web-based spatial decision support system for optimum route to forest fires
Efficient access to fire incidents is crucial for successful firefighting operations. This study aimed at developing a web-based spatial decision support system (SDSS) to determine optimal routes to forest fires and risk zones in the Viphya Plantations, Malawi. The system integrates remote sensing analysis to identify fire risk zones and a web-based SDSS to suggest optimal response routes. Remote sensing data was used to map areas prone to forest…
Mapping Illegal Dumping Sites in a Low-Resource Region Using GIS and Remote Sensing
Malawi’s Blantyre City faces escalating waste management challenges due to increased urbanization and inadequate waste collection services. This research utilized remote sensing (RS) and geographic information system (GIS) techniques to map potential illegal dump sites (PIDSs). MODIS and Sentinel-5P satellite imagery and GPS locations of dumpsites were used to extract environmental and spatial variables, including land surface temperature (LST), …
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Forest cover restoration analysis using remote sensing and machine learning in central Malawi
Forests play a crucial role in maintaining ecological balance and supporting human well-being, yet they are increasingly threatened by anthropogenic pressures. Over the past two decades (2000–2020), Malawi has experienced a 21 % decline in forest cover, necessitating urgent and effective restoration strategies. Community-led forest regeneration initiatives have emerged as a viable solution to counteract this degradation. This study employs remote…
Determinants of household participation in natural forest regeneration
Deforestation remains a prominent issue in Malawi's forest reserves and village forest areas. The Kapirimutu village forest has exhibited a significant increase in forest cover over the previous decade due to community involvement in natural forest regeneration (NFR) initiatives. This study investigates the determinants of household participation in the successful NFR initiatives in the Kapirimutu village forest, a model forest in central Malawi,…
Web-based spatial decision support system for optimum route to forest fires
Efficient access to fire incidents is crucial for successful firefighting operations. This study aimed at developing a web-based spatial decision support system (SDSS) to determine optimal routes to forest fires and risk zones in the Viphya Plantations, Malawi. The system integrates remote sensing analysis to identify fire risk zones and a web-based SDSS to suggest optimal response routes. Remote sensing data was used to map areas prone to forest…
Mapping Illegal Dumping Sites in a Low-Resource Region Using GIS and Remote Sensing
Malawi’s Blantyre City faces escalating waste management challenges due to increased urbanization and inadequate waste collection services. This research utilized remote sensing (RS) and geographic information system (GIS) techniques to map potential illegal dump sites (PIDSs). MODIS and Sentinel-5P satellite imagery and GPS locations of dumpsites were used to extract environmental and spatial variables, including land surface temperature (LST), …
Forestry-based carbon financing mechanisms and their role in advancing sustainable forest management
Scaling forestry-based carbon financing mechanisms is crucial for sustainable forest management. • A PRISMA-guided systematic review of peer-reviewed literature on carbon financing mechanisms in forestry. • REDD+, voluntary carbon markets, and PES have varying outcomes in different regions. • Insecure land tenure and governance issues limit the effectiveness of carbon finance. • Need stronger governance and equitable benefit distribution for long…
Computer Science (3 works) · Conservation, Biodiversity, and Resource Management (3 works) · Geography (3 works) · Environmental Science (2 works) · Forest cover (2 works) · Forestry (2 works) · Remote sensing (2 works) · Sustainability (2 works) · Agricultural Innovations and Practices (1 work) · Agroforestry (1 work)