Remote sensing for mapping and modeling of land-based carbon flux and storage

Nancy H.F. French, Laura L. Bourgeau-Chavez, Michael J. Falkowski, Scott J. Goetz, Liza K. Jenkins, Philip Camill, Collin S. Roesler, Daniel G. Brown

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

An essential aspect of carbon (C) accounting is the development of methods and technologies for measurement and monitoring of C pools and fluxes. Forest and agricultural systems are key to the C cycle, as they hold and rapidly exchange large amounts of C, and human-influenced dynamics of C in these systems are very large. Wetlands, streams, and rivers are important reservoirs and exchange points for C, with C in land and hydrologic systems vulnerable to land-use impacts and other natural disturbance forces. In the context of climate change, the sizes of C pools and magnitudes of C fluxes (see Chapter 2) need to be both well understood for modeling purposes and accurately monitored to quantify and attribute changes driven by land-change processes and confounded by climate-change forces. Direct-measurement methods for C accounting, such as a ground-based inventories, can be inappropriate for covering large landscapes to document extensive C pools or for repeating measurements needed to adequately account for C dynamics. However, if properly deployed, remote sensing systems can be used to provide the spatially synoptic and temporally frequent coverage needed to document land conditions and changes over time (Cohen and Goward 2004; Houghton and Goetz 2008). Remote sensing tools and techniques have developed since the first airborne sensors (photographic cameras) were deployed in the early 1900s. They have progressed from simple passive recording devices to advanced passive and active sensing systems operating from airborne and spaceborne platforms. Remote sensing science includes the data collection technologies and data analysis techniques developed to use remotely sensed data within the framework of spatial data analyses.

Original languageEnglish (US)
Title of host publicationLand use and the Carbon Cycle
Subtitle of host publicationAdvances in Integrated Science, Management, and Policy
PublisherCambridge University Press
Pages95-143
Number of pages49
Volume9781107011243
ISBN (Electronic)9780511894824
ISBN (Print)9781107011243
DOIs
StatePublished - Jan 1 2009

Fingerprint Dive into the research topics of 'Remote sensing for mapping and modeling of land-based carbon flux and storage'. Together they form a unique fingerprint.

  • Cite this

    French, N. H. F., Bourgeau-Chavez, L. L., Falkowski, M. J., Goetz, S. J., Jenkins, L. K., Camill, P., Roesler, C. S., & Brown, D. G. (2009). Remote sensing for mapping and modeling of land-based carbon flux and storage. In Land use and the Carbon Cycle: Advances in Integrated Science, Management, and Policy (Vol. 9781107011243, pp. 95-143). Cambridge University Press. https://doi.org/10.1017/CBO9780511894824.008