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  • Advanced Geospatial and Ground Based Techniques in Forest Monitoring

    Advanced Geospatial and Ground Based Techniques in Forest Monitoring by Kumar, Pavan; Srivastava, Prashant Kumar; Khan, Mohammed Latif;

    Sorozatcím: Earth Observation;

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 130.00
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        53 917 Ft (51 350 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 10 783 Ft off)
      • Kedvezményes ár 43 134 Ft (41 080 Ft + 5% áfa)

    53 917 Ft

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    Beszerezhetőség

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    Hosszú leírás:

    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.

    Több

    Tartalomjegyzék:

    Part 1. Introduction to Forest Monitoring
    1. Traditional methods in forest management
    2. An overview of remote sensing technology in forest management
    3. A global vulnerability management of forest resources
    4. Forest resource sustainable exploitation and management

    Part 2. Forest Species Stand Classification: Definition and Perspectives
    5. A general method for the classification of forest stands
    6. Forest stand species mapping using the Sentinel-2
    7. Multi-species stand classification: Definition and Perspectives
    8. Classification of forest stand considering shapes and sizes of tree crown calculated

    Part 3. Assessment of Biophysical and Biochemical Parameters
    9. Establishing relationships between in situ measured between biophysical and biochemical parameters
    10. Chlorophyll assessment and sensitivity analysis using NIR- 11. Carbon stock assessment using non-linear processes
    12. Forest biodiversity and vegetation health assessment using narrow band hyperspectral data

    Part 4. Methodological Considerations in the Study of Forest Ecosystems
    13. Thermal hyperspectral applications in forest ecosystem classification
    14. Invasive species identification and mapping using multi-source data
    15. Social functional mapping of urban green space using remote sensing data
    16. Bayesian data synthesis for forest fire estimation

    Part 5. Artificial Intelligence, Machine Learning and Deep Learning Techniques
    17. Developments of LiDAR for forest monitoring
    18. Forest damage assessment using deep learning
    19. Artificial intelligence and forest management
    20. Application of machine-learning in forest monitoring: Recent progress and future challenges

    Part 6. Challenges and Future Needs
    21. Building capacity in remote sensing for conservation: present and future challenges
    22. Developments of optical remote sensing: UAVs, hyperspectral and multispectral
    23. Developments of Review of present perspective, challenges, and Future aspects
    24. New satellite missions and sensors for forest monitoring

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