Landsat phenological metrics and their relation to aboveground carbon in the Brazilian Savanna

Carbon Balance and Management
M SchwiederP Hostert

Abstract

The quantification and spatially explicit mapping of carbon stocks in terrestrial ecosystems is important to better understand the global carbon cycle and to monitor and report change processes, especially in the context of international policy mechanisms such as REDD+ or the implementation of Nationally Determined Contributions (NDCs) and the UN Sustainable Development Goals (SDGs). Especially in heterogeneous ecosystems, such as Savannas, accurate carbon quantifications are still lacking, where highly variable vegetation densities occur and a strong seasonality hinders consistent data acquisition. In order to account for these challenges we analyzed the potential of land surface phenological metrics derived from gap-filled 8-day Landsat time series for carbon mapping. We selected three areas located in different subregions in the central Brazil region, which is a prominent example of a Savanna with significant carbon stocks that has been undergoing extensive land cover conversions. Here phenological metrics from the season 2014/2015 were combined with aboveground carbon field samples of cerrado sensu stricto vegetation using Random Forest regression models to map the regional carbon distribution and to analyze the relation be...Continue Reading

References

Mar 8, 2000·Nature·N MyersJ Kent
Jun 24, 2004·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Jerome ChaveRolando Perez
Mar 27, 2009·Carbon Balance and Management·Scott J GoetzMindy Sun
Jun 9, 2009·Environmental Monitoring and Assessment·Edson E SanoLaerte G Ferreira
Apr 6, 2011·The New Phytologist·Caroline E R LehmannWilliam J Bond
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Jun 7, 2014·Global Change Biology·John GraceEmanuel Gloor
Dec 1, 2015·Global Change Biology·Daniel J ZarinAlexandra Tyukavina

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Methods Mentioned

BETA
PCA
PCAs

Software Mentioned

RFR
TIMESAT
RapidEye
package pdp
random Forest R - package
PPBio
PNCV
PESA
R

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