Debating the greening vs. browning of the North American boreal forest differences between satellite datasets

A number of remote sensing studies have evaluated the temporal trends of the normalized difference vegetation index [NDVI or vegetation greenness] in the North American boreal forest during the last two decades, often getting quite different results. To examine the effect that the use of different d...

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Otros Autores: Alcaraz Segura, Domingo, Chuvieco, Emilio, Epstein, Howard E., Kasischke, Eric S., Trishchenko, Alexander
Formato: Artículo
Lenguaje:Inglés
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Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2010AlcarazSegura.pdf
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245 1 0 |a Debating the greening vs. browning of the North American boreal forest   |b differences between satellite datasets 
520 |a A number of remote sensing studies have evaluated the temporal trends of the normalized difference vegetation index [NDVI or vegetation greenness] in the North American boreal forest during the last two decades, often getting quite different results. To examine the effect that the use of different datasets might be having on the estimated trends, we compared the temporal trends of recently burned and unburned sites of boreal forest in central Canada calculated from two datasets: the Global Inventory, Monitoring, and Modeling Studies [GIMMS], which is the most commonly used 8 km dataset, and a new 1 km dataset developed by the Canadian Centre for Remote Sensing [CCRS]. We compared the NDVI trends of both datasets along a fire severity gradient in order to evaluate the variance in regeneration rates. Temporal trends were calculated using the seasonal Mann-Kendall trend test, a rank-based, nonparametric test, which is robust against seasonality, nonnormality, heteroscedasticity, missing values, and serial dependence. The results showed contrasting NDVI trends between the CCRS and the GIMMS datasets. The CCRS dataset showed NDVI increases in all recently burned sites and in 50 percent of the unburned sites. Surprisingly, the GIMMS dataset did not capture the NDVI recovery in most burned sites and even showed NDVI declines in some burned sites one decade after fire. Between 50 percent and 75 percent of GIMMS pixels showed NDVI decreases in the unburned forest compared with greather than 1 percent of CCRS pixels. Being the most broadly used dataset for monitoring ecosystem and carbon balance changes, the bias towards negative trends in the GIMMS dataset in the North American boreal forest has broad implications for the evaluation of vegetation and carbon dynamics in this region and globally. 
650 |2 Agrovoc  |9 26 
653 0 |a AVHRR 
653 0 |a BOREAL FOREST 
653 0 |a BURNED AREAS 
653 0 |a CANADA 
653 0 |a FOREST FIRES 
653 0 |a GIMMS 
653 0 |a NDVI TRENDS 
653 0 |a SEASONAL MANN-KENDALL TREND TEST 
653 0 |a COMPARATIVE STUDY 
653 0 |a FOREST ECOSYSTEM 
653 0 |a FOREST FIRE 
653 0 |a FOREST INVENTORY 
653 0 |a MONITORING 
653 0 |a NDVI 
653 0 |a NUMERICAL MODEL 
653 0 |a REMOTE SENSING 
653 0 |a SATELLITE IMAGERY 
653 0 |a TREND ANALYSIS 
700 1 |a Alcaraz Segura, Domingo  |9 47964 
700 1 |a Chuvieco, Emilio  |9 69830 
700 1 |a Epstein, Howard E.  |9 69577 
700 1 |a Kasischke, Eric S.  |9 69831 
700 1 |a Trishchenko, Alexander  |9 69832 
773 |t Global Change Biology  |w SECS001382  |g Vol.16, no.2 (2010), p.760-770 
856 |u http://ri.agro.uba.ar/files/intranet/articulo/2010AlcarazSegura.pdf  |i En reservorio  |q application/pdf  |f 2010AlcarazSegura  |x MIGRADOS2018 
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