Advanced Geospatial and Ground Based Techniques in Forest Monitoring (Earth Observation)

個数:
  • 予約

Advanced Geospatial and Ground Based Techniques in Forest Monitoring (Earth Observation)

  • 現在予約受付中です。出版後の入荷・発送となります。
    重要:表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 368 p.
  • 言語 ENG
  • 商品コード 9780443189494

Full Description

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.

Contents

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

最近チェックした商品