Spatiotemporal analysis of vegetation cover (1984–2017) and modelling of its change drivers, the case of Pingtan Island, China

This study aims to examine vegetation cover dynamics through quantification of its greenness index, magnitude of change, nature of transition, and fragmentation levels using Landsat images from four periods, 1984, 1996, 2007 and 2017, together with physical and socioeconomic drivers. The results sho...

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Veröffentlicht in:	Modeling earth systems and environment 2018-09, Vol.4 (3), p.899-917
Hauptverfasser:	Shifaw, Eshetu, Sha, Jinming, Li, Xiaomei, Bao, Zhongcong, Ji, Jianwan, Chen, Bingchu
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural land Chemistry and Earth Sciences Computer Science Dynamics Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Environmental management Fragmentation Grasslands Landsat Landsat satellites Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Modelling Original Article Physics Plant cover Policies Remote sensing Satellite imagery Socioeconomic factors Statistics for Engineering Variation Vegetation Vegetation cover Vegetation type Woodlands
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Zusammenfassung:	This study aims to examine vegetation cover dynamics through quantification of its greenness index, magnitude of change, nature of transition, and fragmentation levels using Landsat images from four periods, 1984, 1996, 2007 and 2017, together with physical and socioeconomic drivers. The results show high spatiotemporal variations of vegetation cover that generally increased from plain to mountain and towards the recent decade (2007–2017). While low vegetation cover (fractional vegetation cover
ISSN:	2363-6203 2363-6211
DOI:	10.1007/s40808-018-0473-6