Carbon Fluxes and Biophysical Variables from Earth Observation

Methods for Ecosystem Assessment

AvCampos-Taberner,Manue,Manuel Campos-Taberner

Häftad, Engelska, 2025

Del i serien Earth Observation

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Beskrivning

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.

Provides multidisciplinary approaches to the use of remote sensing for monitoring carbon fluxes and biophysical variables
Enables deeper understanding and monitoring of ecosystems and dynamics from Earth observation technologies
Includes in-situ, local scale, and global methods to provide readers with techniques and applications for a wide spectrum of needs

Produktinformation

Utgivningsdatum:2025-07-25
Mått:152 x 229 x undefined mm
Vikt:1 000 g
Format:Häftad
Språk:Engelska
Serie:Earth Observation
Antal sidor:406
Förlag:Elsevier Science
ISBN:9780443299919

Utforska kategorier

Biovetenskap inom Naturvetenskap och teknik
Geografi inom Naturvetenskap och teknik

Mer om författaren

Manuel Campos-Taberner works at the Universitat de Valencia as Senior Researcher teaching in different science degrees as well as in the Master’s Degree in Remote Sensing. He was responsible for the development of ERMES (FP7-SPACE) operational processing chains for biophysical parameters estimation over European rice plantations. In addition, he was in charge of developing a methodology for land use classification in Spain using deep learning from Copernicus Sentinel-1/2 data in the Common Agricultural Policy (CAP). He is currently working with the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF). He is developing, implementing, and validating hybrid algorithms (physical + data-driven) for a set of biophysical variables, allowing their operational use from EUMETSAT geostationary and polar observations.Beatriz Martínez has been teaching and working as a researcher at the Environmental Remote Sensing group in the Universitat de València since 2004 in Remote Sensing. Currently, she serves as assistant professor at the Faculty of Physics. Her mainly studies of work has been focused on the estimation and validation of biophysical satellite products (fAPAR, LAI and FVC), development of methodologies to detect vegetation changes using long satellite time-series and more recently the development of coarse satellite derived carbon flux products. She has been involved in operational initiatives for monitoring land surface within LSA SAF (EUMETSAT) and different Spanish dedicated to monitoring CO2 fluxes in Spain.Sergio Sánchez-Ruiz is PI-Invest Doct Uv Senior in the Earth Physics and Thermodynamics deparmtnet. He started his research with thermal remote sensing on the estimation of atmospheric water content and temperature-emissivity separation algorithm. After his M.Sc, he worked for a year in the validation of soil moisture from the SMOS mission in the REMEDHUS network, Salamanca, Spain. In 2014, he started working in the Environmental Remote Sensing Group in Universitat de València on the optimization of models for the estimation of carbon fluxes between biosphere and atmosphere through the combination of remote sensing data and ecosystem process models. Currently, he serves there as a senior researcher and teaches different science degrees as well as the Remote Sensing Masters degree.

Innehållsförteckning

1. IntroductionPART 1: Vegetation status and retrieval of vegetation biophysical variables through EO2. A review of methods, approaches and techniques in LAI/FPAR(FVC/CHLa3. Machine learning and cloud computing for trait parameter estimation4. Agricultural crop monitoring with C-band polarimetric SAR features derived from the linear basis and compact polarimetry5. Biophysical variables estimation with Hyperspectral data and applications6. Toward standardized validation of satellite-based biophysical variables: current status and needs7. Biophysical variables from LiDAR dataPART 2: Estimating Carbon and water fluxes for ecosystem assessment8. Emerging needs for Carbon fluxes assessment9. A review of methods, approaches and techniques in water fluxes10. 20 year of GPP estimates from EUMETSAT geostationary satellites11. Long-term study of water and carbon fluxes in a Mediterranean pine forest through the use of multiple remotely sensed datasets and bio-geochemical modelling12. Linking biophysical variables and carbon fluxes in Earth Observation data assimilation