Dear Ecolog subscribers: In case you are going to AGU this December in San Francisco, CA, there is an ecological scaling session that may be of interest.
B062. Scaling Ecosystem Observations Through Space and Time https://fallmeeting.agu.org/2013/scientific-program/session-search/sessions/b062-scaling-ecosystem-observations-through-space-and-time-2/ ABSTRACT: There is a need to monitor change in regional to global ecosystem integrity. Projects such as NEON (United States), and TERN (Australia) are established to provide consistent, long-term in situ and remote measurements of aquatic and terrestrial ecosystems. However, measurements may be spatially distributed across large areas presenting a challenge of interpolation between points and scaling between pixels for regional to global change analysis. This session will explore scaling methods to quantify spatio-temporal change over broad areas. Topics may include methods that: model ecosystem function using multi-scale data; scale between multi-resolution remote sensing pixels and scale in situ point measurements over broad areas. Also - for those interested in issues of error associated with remote sensing methods, please consider: B069. Understanding uncertainty in remotely sensed vegetation data products Section/Focus Group: https://fallmeeting.agu.org/2013/scientific-program/session-search/sessions/b069-understanding-uncertainty-in-remotely-sensed-vegetation-data-products-2/ ABSTRACT: Remote sensing of ecosystems is an efficient means to measure multiple biophysical properties over broad geographical regions. Error sources contributing to final derived data products originate from instrumentation and data collection/processing, and may not be well-understood. Well-characterized uncertainties are important for missions such as ICESAT-II, BIOMASS, HyspIRI, and the NEON Airborne Observatory, as they improve product quality and support large-scale modeling efforts. Possible topics include allometric biomass derivation uncertainty, extrapolation between sites sampled at different scales, limitations in calibration/validation and characterization of active and passive sensors, or unexplored noise sources. Cheers, Leah Leah A. Wasser, Ph.D. ----------------------------------------------- Remote Sensing Ecologist Senior Science Educator - Universities National Ecological Observatory Network (NEON) 814.746.4917 [email protected]
