2016
DOI: 10.1016/j.rse.2016.05.027
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Assessing woody vegetation trends in Sahelian drylands using MODIS based seasonal metrics

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Cited by 94 publications
(104 citation statements)
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References 46 publications
(2 reference statements)
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“…All study areas cited in this paper with a reported re-greening trend, such as Senegal (e.g. Herrmann and Tappan, 2013;Brandt et al, 2014aBrandt et al, , b, 2015Herrmann and Sop, 2016), Mali and Burkina Faso (Hiernaux et al, 2009a, b;Dardel et al, 2014a, b;Rasmussen et al, 2014;Brandt et al, 2016b), and Niger (Hiernaux et al, 2009a, b;Boubacar, 2016), are situated on the sandy soils of the Quaternary dune systems. Krings (1980).…”
Section: Contributions Of Other Authorsmentioning
confidence: 80%
“…All study areas cited in this paper with a reported re-greening trend, such as Senegal (e.g. Herrmann and Tappan, 2013;Brandt et al, 2014aBrandt et al, , b, 2015Herrmann and Sop, 2016), Mali and Burkina Faso (Hiernaux et al, 2009a, b;Dardel et al, 2014a, b;Rasmussen et al, 2014;Brandt et al, 2016b), and Niger (Hiernaux et al, 2009a, b;Boubacar, 2016), are situated on the sandy soils of the Quaternary dune systems. Krings (1980).…”
Section: Contributions Of Other Authorsmentioning
confidence: 80%
“…Brandt et al [89] confirmed an overall positive trend of woody cover dynamics across the entire Sahel in recent decades. This demonstrates the resilience of Sahelian ecosystems, although this trend is generally observed in places with low human pressure.…”
Section: Evaluation Of Global Vegetation Evolution Through Remote Senmentioning
confidence: 87%
“…Trend analysis of vegetation is commonly used to assess land degradation or changes in vegetation productivity (de Jong et al 2011, Brandt et al 2016. Usually, trends are established using linear regression at annual (Bai et al 2008) or seasonal intervals (Eklundh and Olsson 2003).…”
Section: Methodsmentioning
confidence: 99%
“…To estimate the average amount of vegetation change per year, we used the Theil-Sen slope, which calculates the median of all slope estimates between all potential pairs of points (Hoaglin et al 1983, Fensholt andProud 2012). The Theil-Sen slope is a nonparametric test especially suitable for time series of vegetation indices, as they often do not meet parametric assumptions of normality and heteroscedasticity (Hoaglin et al 1983, Alcaraz-Segura et al 2010, Fensholt and Proud 2012, Brandt et al 2016. Furthermore, the Theil-Sen procedure is especially suitable for short or noisy time series due to its robustness against outliers.…”
Section: Methodsmentioning
confidence: 99%