Armando Apan
Biographic Data
| ID | 6314340 |
|---|---|
| NAME | Armando Apan |
| GIVEN NAMES | Armando |
| FAMILY NAME | Apan |
| SIGNATURE | APAN A |
| AFFILIATIONS | University of Southern Queensland |
| ORCID | 0000-0002-5412-8881 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Lessons from a participatory forest restoration program on socio-ecological and environmental aspects in Nepal
We assessed donor-driven participatory forest restoration in Nepal's degraded Churia hills. • Synergistic outcomes emerged by integrating community choices, government support, and flexible donor aid. • Effective policy alignment enhanced ecosystem services, social capital, and ecological functions. • Sustainable financing was lacking, requiring integration into government and community plans. • Tripartite model is practical and participatory for…
Evaluating four decades of energy policy evolution for sustainable development of a South Asian country—Nepal
In this study, we assessed the accomplishments and shortcomings of an exhaustive collection of energy policies of Nepal over four decades, using a five‐dimensional energy security framework (availability, affordability, technology, sustainability and governance) for sustainable development. We adopted a mixed‐method approach involving thorough review of 70 policy documents (1984–2022), systematic review of 86 peer‐reviewed journal articles on Nep…
Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demonstrated excellent potential for mapping complex scenes and improving flood mapping accuracy. Therefore, this study aims to compare the image classification accuracy of three convolutional neural ne…
Decoding the impacts of space and time on honey bees
A call for ‘management authorship’ in community forestry
An assessment of governance quality for community-based forest management systems in Asia
An assessment of governance quality for community-based forest management systems in Asia
A call for ‘management authorship’ in community forestry
Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demonstrated excellent potential for mapping complex scenes and improving flood mapping accuracy. Therefore, this study aims to compare the image classification accuracy of three convolutional neural ne…
Decoding the impacts of space and time on honey bees
Evaluating four decades of energy policy evolution for sustainable development of a South Asian country—Nepal
In this study, we assessed the accomplishments and shortcomings of an exhaustive collection of energy policies of Nepal over four decades, using a five‐dimensional energy security framework (availability, affordability, technology, sustainability and governance) for sustainable development. We adopted a mixed‐method approach involving thorough review of 70 policy documents (1984–2022), systematic review of 86 peer‐reviewed journal articles on Nep…
Lessons from a participatory forest restoration program on socio-ecological and environmental aspects in Nepal
We assessed donor-driven participatory forest restoration in Nepal's degraded Churia hills. • Synergistic outcomes emerged by integrating community choices, government support, and flexible donor aid. • Effective policy alignment enhanced ecosystem services, social capital, and ecological functions. • Sustainable financing was lacking, requiring integration into government and community plans. • Tripartite model is practical and participatory for…
Geography (5 works) · Conservation, Biodiversity, and Resource Management (3 works) · Economics (3 works) · Environmental planning (3 works) · Environmental resource management (3 works) · Political science (3 works) · Artificial Intelligence (2 works) · Biology (2 works) · Business (2 works) · Computer Science (2 works)