Carbon Fluxes and Biophysical Variables from Earth Observation
Methods for Ecosystem Assessment
Series: Earth Observation;
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Product details:
- Publisher Elsevier
- Date of Publication 1 June 2025
- ISBN 9780443299919
- Binding Paperback
- No. of pages330 pages
- Size 228x152 mm
- Language English 700
Categories
Long description:
Carbon Fluxes and Biophysical Variables from Earth Observation: Methods for Ecosystem Assessment transforms the way remote sensing data can be used to approach monitoring of carbon fluxes (CF) and biophysical variables (BV) in ecosystem and global vegetation monitoring. In a field where these two subjects have traditionally been treated as distinct entities, this book offers an integrated exploration of CF and BV retrieval through remote sensing. It not only delves into a wide array of approaches and methodologies but also assists readers in selecting the most suitable models based on available inputs and spatiotemporal scales. Carbon Fluxes and Biophysical Variables from Earth Observation is a useful resource for Earth Observation specialists, particularly in Remote Sensing, machine learning, ecology, and plant physiology, to enhance and adapt their approaches and methodologies.
MoreTable of Contents:
1. Introduction
PART 1: Vegetation status and retrieval of vegetation biophysical variables through EO
2. A review of methods, approaches and techniques in LAI/FPAR(FVC/CHLa
3. Machine learning and cloud computing for trait parameter estimation
4. Agricultural crop monitoring with C-band polarimetric SAR features derived from the linear basis and compact polarimetry
5. Biophysical variables estimation with Hyperspectral data and applications
6. Toward standardized validation of satellite-based biophysical variables: current status and needs
7. Biophysical variables from LiDAR data
PART 2: Estimating Carbon and water fluxes for ecosystem assessment
8. Emerging needs for Carbon fluxes assessment
9. A review of methods, approaches and techniques in water fluxes
10. 20 year of GPP estimates from EUMETSAT geostationary satellites
11. Long-term study of water and carbon fluxes in a Mediterranean pine forest through the use of multiple remotely sensed datasets and bio-geochemical modelling
???????12. Linking biophysical variables and carbon fluxes in Earth Observation data assimilation
