Advances in Remote Sensing for Forest Monitoring 1st Edition Prem C. Pandey

Advances in Remote Sensing for Forest Monitoring – Ebook Instant Download/Delivery ISBN(s): 9781119788126,1119788129

Product details:

• ISBN-10 ‏ : ‎ 1119788129
• ISBN-13 ‏ : ‎ 978-1119788126
• Author(s): Prem C. Pandey, Paul Arellano

Advances in Remote Sensing for Forest Monitoring

An expert overview of remote sensing as applied to forests and other vegetation

In Advances in Remote Sensing for Forest Monitoring, a team of distinguished researchers delivers an expansive and insightful discussion of the latest research on remote sensing technologies as they relate to the monitoring of forests, plantations, and other vegetation. The authors also explore the use of unmanned aerial vehicles and drones, as well as multisource and multi-sensor data – such as optical, SAR, LIDAR, and hyperspectral data.

The book draws on the latest data and research to show how remote sensing solutions are being used in real-world settings. It offers contributions from researchers and practitioners from a wide variety of backgrounds and geographical regions to provide a diverse and global set of perspectives on the subject.

Table contents:

1. Introduction to Forest Monitoring Using Advanced Remote Sensing Technology

2. Geospatial Perspectives of Sustainable Forests Management to Enhance Ecosystem Services and Livelihood Security

3. Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian Forest Species by Applying Machine Learning Algorithms to Field Reflectance Data

4. Modelling of Abiotic Stress of Conifers with Remote Sensing Data

5. Retrieval of Mangrove Forest Properties Using Synthetic Aperture Radar

6. Photosynthetic Variables Estimation in a Mangrove Forest

7. Quantifying Carbon Stock Variability of Species within a Reforested Urban Landscape Using Texture Measures Derived from Remotely Sensed Imagery

8. Mapping Oil Palm Plantations in the Fringe of Sebangau National Park, Central Kalimantan, Indonesia

9. Forest Fire Susceptibility Mapping by Integrating Remote Sensing and Machine Learning Algorithms

10. Leveraging Google Earth Engine (GEE) and Landsat Images to Assess Bushfire Severity and Postfire Short-Term Vegetation Recovery: a Case Study of Victoria, Australia.

11. Recent Advancement and Role of Drones in Forest monitoring: Research and Practices

12. Applications of Multi-Source and Multi-Sensor Data Fusion of Remote Sensing for Forest Species Mapping

13. Challenges and Monitoring Methods of Forest Management through Geospatial Application

14. Challenges and Future Possibilities Towards Himalayan Forest Monitoring

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