Advances in Remote Sensing for Forest Monitoring

Inbunden, Engelska, 2022

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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. Readers will also find: A thorough introduction to forest monitoring using remote sensing including recent advances in remote sensing technologyComprehensive explorations of sustainable forest management to enhance ecosystem services and livelihood security using a geospatial approachCase studies of monitoring the biochemical and biophysical parameters of forests, including carotene and xanthophyll content Practical advice on how to apply machine learning tools to remote sensing dataPerfect for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management, Advances in Remote Sensing for Forest Monitoring will also earn a place in the libraries of professionals and researchers working with remote sensing technology.

Produktinformation

Utgivningsdatum2022-11-10
Mått170 x 244 x 28 mm
Vikt680 g
FormatInbunden
SpråkEngelska
Antal sidor400
FörlagJohn Wiley & Sons Inc
ISBN9781119788126

Tillhör följande kategorier

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