Share Email Print

Proceedings Paper

An integrated approach for high spatial resolution mapping of water and carbon fluxes using multi-sensor satellite data
Author(s): Carmelo Cammalleri; Martha C. Anderson; Rasmus Houborg; Feng Gao; William P. Kustas; Mitchell Schull
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In the last years, modeling of surface processes - such as water, energy and carbon budgets, as well as vegetation growth- seems to be focused on integrated approaches that combine aspects of hydrology, biology and meteorology into unified analyses. In this context, remotely sensed data often have a core role due to the cross-cutting impact of this novel source of spatially distributed information on all these research areas. However, several applications - such as drought monitoring, yield forecasting and crop management - require spatially detailed products at sub-field scales, which can be obtained only with support of adequately fine resolution remote sensing data (< 100 m). In particular, observations in the visible to the near infrared (VIS/NIR) spectral region can be used to derive biophysical and biochemical properties of the vegetation (i.e., leaf area index and leaf chlorophyll). Complementarily, the thermal infrared (TIR) signal provides valuable information about land surface temperature, which in turn represents an accurate proxy indicator of the subsurface moisture status by means of surface energy budget analysis. Additionally, the strong link between crop water stress and stomatal closure allows inference of crop carbon assimilation using the same tools. In this work, an integrated approach is proposed to model both carbon and water budgets at field scale by means of a joint use of a thermal-based Two Source Energy Budget (TSEB) model and an analytical, Light-Use-Efficiency (LUE) based model of canopy resistance. This suite of models allows integration of information retrieved by both fine and coarse resolution satellites by means of a data fusion procedure. A set of Landsat and MODIS images are used to investigate the suitability of this approach, and the modeled fluxes are compared with observations made by several flux towers in terms of both water and carbon fluxes.

Paper Details

Date Published: 19 October 2012
PDF: 9 pages
Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85310O (19 October 2012); doi: 10.1117/12.974737
Show Author Affiliations
Carmelo Cammalleri, Agricultural Research Service (United States)
Martha C. Anderson, Agricultural Research Service (United States)
Rasmus Houborg, European Commission Joint Research Ctr. (Italy)
Feng Gao, Agricultural Research Service (United States)
William P. Kustas, Agricultural Research Service (United States)
Mitchell Schull, Agricultural Research Service (United States)

Published in SPIE Proceedings Vol. 8531:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top