Synergy of thermal and optical remote sensing signatures with biophysical models for estimating dynamic change of biomass and CO<sub>2</sub> flux in agricultural ecosystems

Yoshio Inoue; Albert Olioso

doi:10.1117/12.565481

26 October 2004 Synergy of thermal and optical remote sensing signatures with biophysical models for estimating dynamic change of biomass and CO₂ flux in agricultural ecosystems

Yoshio Inoue, Albert Olioso

Author Affiliations +

Proceedings Volume 5568, Remote Sensing for Agriculture, Ecosystems, and Hydrology VI; (2004) https://doi.org/10.1117/12.565481
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

The objective of this study was to investigate the potential of the synergy between the biophysical/ecophysiological models and remote sensing signatures for dynamic estimation of key biophysical variables at the ecosystems-atmosphere interface. We obtained a long-term and comprehensive data set of micrometeorological, plant, and remote sensing (optical and thermal domains) measurements over well-managed uniform agricultural fields. The net ecosystem CO₂ flux (NEE_CO2) was measured by the eddy covariance method (ECM). A soil-vegetation-atmosphere transfer (SVAT) model was used to describe the energy balance, water budget, and physiological processes in the soil-vegetation-atmosphere system that allowed simulating the seasonal change of CO₂ and water fluxes as well as biomass, photosynthesis, soil water, and surface temperatures. Both remotely sensed surface temperature and spectral reflectance were useful to effectively tune the process-based model, so that biomass, evapotranspiration, and CO₂ flux were accurately simulated. Simulated NEE_CO2 agreed nicely with those measured by ECM, while simulated biomass agreed well with independent measurements. The synergy of remote sensing and process-based modeling was quite effective in utilizing infrequent and multi-source remote sensing data. This approach would have great potential for quantitative and dynamic assessment of multiple variables in terrestrial ecosystems.

Citation Download Citation

Yoshio Inoue and Albert Olioso "Synergy of thermal and optical remote sensing signatures with biophysical models for estimating dynamic change of biomass and CO₂ flux in agricultural ecosystems", Proc. SPIE 5568, Remote Sensing for Agriculture, Ecosystems, and Hydrology VI, (26 October 2004); https://doi.org/10.1117/12.565481

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Remote sensing

Carbon dioxide

Soil science

Data modeling

Ecosystems

Solar radiation models

Process modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years