What is it about?
This paper builds on previous work which demonstrated the applicability of a parametric model, Modified C-Fix, for the monitoring of Mediterranean forests. Specifically, the model is capable of combining ground and remote sensing data to estimate forest gross primary production (GPP) on various spatial and temporal scales. Modified C-Fix is currently applied to all Italian forest areas using a previously produced data set of meteorological data and NDVI imagery descriptive of a ten-year period (1999–2008).
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Why is it important?
The obtained GPP estimates are further elaborated to derive forest net primary production (NPP) averages for 20 Italian Regions. Such estimates can be directly converted into current annual increment of standing volume (CAI) through the use of specific coefficients.
Perspectives
All methodologies capable of providing regional estimates of forest NPP and CAI are affected by numerous sources of uncertainty. From a practical viewpoint, this can have important consequences on the regional scale assessment of carbon accumulation in forest ecosystems. The use of estimation methods based on the integration of multisource ground and remote sensing data is proposed as a possible means to explore and, if possible, reduce such uncertainty with limited labor and cost expenses additional to those of the ground data collection and elaboration.
Piermaria Corona
CREA Research Centre for Forestry and Wood
Read the Original
This page is a summary of: Assessment of forest net primary production through the elaboration of multisource ground and remote sensing data, Journal of Environmental Monitoring, January 2010, Royal Society of Chemistry,
DOI: 10.1039/b924629k.
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