Dynamics of Land Cover and Land Use Change in Quanzhou City of SE China from Landsat Observations

Analysis of urban development by means of multi-temporal fragmentation metrics from LULC data

“…The following multi-temporal metrics applied to urban studies were found in the literature: (i) Landscape Expansion Index (LEI), Mean Expansion Index (MEI) and Area-Weighed Mean Expansion Index (AWMEI) from Liu et al (2010), these indices are useful for describing growth types; (ii) Annual Urban Expansion Intensity Index (AUEII) from Yin et al (2011) evaluates the spatial distribution of urban expansion; (iii) Rate of Change (r) from Malaviya et al (2010), it measures the change relative to the time interval; (iv) Annual Growth Rate (GR) from Tian et al (2011) representing the average of change in a land use; (v) Land-Use Degree ratio index (LUD) and Land-Use Change (LUC), from Pan et al (2011), based on the urban exploitation degree of change; (vi) Urban Expansion Intensity (UEI) from Jing and Jianzhong (2011), it reflects the rate of urban expansion during a certain period of time; (vii) methods based on concentric and sector analysis, from Yin et al (2011), used for characterizing the amount and spatial distribution of changes; and (viii) Change ( ) and Change Rate ( ) from Tian et al (2014), that represent the absolute value and the rate of annual change, respectively.…”

“…These patterns have been proved to reflect, very often, policy adjustments and economic developments throughout the time (Tian et al, 2011). Nevertheless, there are some constraints for quantifying urban dynamics (Liu et al, 2010), and various researches proposed new multi-temporal indices for understanding spatio-temporal land use dynamics in growing regions (Pan et al, 2011;Yin et al, 2011). Multi-temporal indices allow for the analysis of the landscape evolution, and the relationship with its spatial distribution (Liu et al, 2010).…”

Tracking Land Use Land Cover changes from 2000 to 2018 in a local area of East Java Province, Indonesia

“…The use of Landsat imagery to study LULC changes is a widely known method and has been published in research reports around the world. Pan et al (2011) used Landsat data archives to study such changes in China, while Fonji and Taff (2014) combined current data (i.e., censuses and statistics) and satellite imagery (Landsat Thematic Mapper) to calculate changes in north-eastern Latvia. Many researchers have employed Landsat images to investigate LULC changes in others cases and locations (for example, the studies of Bayramov, Buchroithner & Bayramov, 2016;Mtibaa & Irie, 2016;Hassen & Assen, 2018).…”