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Advanced Geospatial and Ground Based Techniques in Forest Monitoring

Paperback Engels 2025 9780443189494
€ 157,00
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Samenvatting

Advanced Geospatial and Ground Based Techniques in Forest Monitoring provides insights into advanced geospatial technology in the field of forestry. The book provides both traditional and special techniques for monitoring the forest, including biophysical and biochemical parameters, retrieval, species identification, mapping, and classification. In addition, it covers the latest technologies using SAR data, hyperspectral data, and the integration of datasets for the enhanced accuracy of the results and its outcome. This book will benefit the academic and research communities with the latest research ideas and problem-solving skills in forestry and land management.

Specificaties

ISBN13:9780443189494
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

Part 1. Introduction to Forest Monitoring<br>1. Traditional methods in forest management<br>2. An overview of remote sensing technology in forest management<br>3. A global vulnerability management of forest resources<br>4. Forest resource sustainable exploitation and management<br><br>Part 2. Forest Species Stand Classification: Definition and Perspectives<br>5. A general method for the classification of forest stands<br>6. Forest stand species mapping using the Sentinel-2<br>7. Multi-species stand classification: Definition and Perspectives<br>8. Classification of forest stand considering shapes and sizes of tree crown calculated<br><br>Part 3. Assessment of Biophysical and Biochemical Parameters<br>9. Establishing relationships between in situ measured between biophysical and biochemical parameters<br>10. Chlorophyll assessment and sensitivity analysis using NIR- 11. Carbon stock assessment using non-linear processes<br>12. Forest biodiversity and vegetation health assessment using narrow band hyperspectral data<br><br>Part 4. Methodological Considerations in the Study of Forest Ecosystems<br>13. Thermal hyperspectral applications in forest ecosystem classification<br>14. Invasive species identification and mapping using multi-source data<br>15. Social functional mapping of urban green space using remote sensing data<br>16. Bayesian data synthesis for forest fire estimation<br><br>Part 5. Artificial Intelligence, Machine Learning and Deep Learning Techniques<br>17. Developments of LiDAR for forest monitoring<br>18. Forest damage assessment using deep learning<br>19. Artificial intelligence and forest management<br>20. Application of machine-learning in forest monitoring: Recent progress and future challenges<br><br>Part 6. Challenges and Future Needs<br>21. Building capacity in remote sensing for conservation: present and future challenges<br>22. Developments of optical remote sensing: UAVs, hyperspectral and multispectral<br>23. Developments of Review of present perspective, challenges, and Future aspects<br>24. New satellite missions and sensors for forest monitoring

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        Advanced Geospatial and Ground Based Techniques in Forest Monitoring