| Forest Properties and Carbon Cycle Studies from Earth Observations 2020 Edition Contributor(s): Scipal, Klaus (Editor), Cazenave, Anny (Editor), Lopez, Teodolina (Editor) |
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ISBN: 3030328384 ISBN-13: 9783030328382 Publisher: Springer OUR PRICE: $189.99 Product Type: Hardcover - Other Formats Published: November 2019 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Remote Sensing & Geographic Information Systems - Technology & Engineering | Agriculture - Forestry - Science | Environmental Science (see Also Chemistry - Environmental) |
| Dewey: 333.7 |
| Series: Space Sciences Issi |
| Physical Information: 0.7" H x 6.6" W x 9.4" (1.40 lbs) 339 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book features a comprehensive series of the overview articles on all relevant aspects of forest structure estimation from space and related fields. The overview articles in this book discuss the importance of the derived products for earth system science and policy, the latest earth observation system and techniques, aspects of ground data collection for contextualisation and validation and the consistent generation of estimates from multiple data stream. Previously published in Surveys in Geophysics, Volume 40, Issue 4, 2019 The chapters "Aspects of Forest Biomass in the Earth System: Its Role and Major Unknowns", "The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy', "Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery", "Species Matter: Wood Density Influences Tropical Forest Biomass at Multiple Scales", "Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS)", "New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar", "The Importance of Consistent Global Forest Aboveground Biomass Product Validation", and "A Joint ESA-NASA Multi-mission Algorithm and Analysis Platform (MAAP) for Biomass, NISAR, and GEDI" are available as open access articles under a CC BY 4.0 license at link.springer.com |