A coupled model for simulating spatio-temporal dynamics of land-use change: A case study in Changqing, Jinan, China

2012 ◽  
Vol 106 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Xin-Qi Zheng ◽  
Lu Zhao ◽  
Wei-Ning Xiang ◽  
Ning Li ◽  
Li-Na Lv ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Dynamics ◽  
Coupled Model ◽  
Spatio Temporal

Spatio-temporal analysis of land use changes using remote sensing in Horqin sandy land, China

Sensor Review ◽  
2019 ◽  
Vol 39 (6) ◽  
pp. 844-856
Author(s):  
Zhenzhen Zhao ◽  
Jiandi Feng
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Body ◽  
Temporal Dynamics ◽  
Horqin Sandy Land ◽  
Sandy Land ◽  
Gis Technology ◽  
Construction Land ◽  
Content Type ◽  
Spatio Temporal

Purpose The purpose of this paper is to analyze the characteristics of spatio-temporal dynamics and the evolution of land use change is essential for understanding and assessing the status and transition of ecosystems. Such analysis, when applied to Horqin sandy land, can also provide basic information for appropriate decision-making. Design/methodology/approach By integrating long time series Landsat imageries and geographic information system (GIS) technology, this paper explored the spatio-temporal dynamics and evolution-induced land use change of the largest sandy land in China from 1983 to 2016. Accurate and consistent land use information and land use change information was first extracted by using the maximum likelihood classifier and the post-classification change detection method, respectively. The spatio-temporal dynamics and evolution were then analyzed using three kinds of index models: the dynamic degree model to analyze the change of regional land resources, the dynamic change transfer matrix and flow direction rate to analyze the change direction, and the barycenter transfer model to analyze the spatial pattern of land use change. Findings The results indicated that land use in Horqin sandy land during the study period changed dramatically. Vegetation and sandy land showed fluctuating changes, cropland and construction land steadily increased, water body decreased continuously, and the spatial distribution patterns of land use were generally unbalanced. Vegetation, sandy land and cropland were transferred frequently. The amount of vegetation loss was the largest. Water body loss was 473.6 km2, which accounted for 41.7 per cent of the total water body. The loss amount of construction land was only 1.0 km2. Considerable differences were noted in the rate of gravity center migration among the land use types in different periods, and the overall rate of construction land migration was the smallest. Moreover, the gravity center migration rates of the water body and sandy land were relatively high and were related to the fragile ecological environment of Horqin sandy land. Originality/value The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and GIS technology but also revealed notable spatio-temporal dynamics and evolution-induced land use change throughout the different time periods (1983-1990, 1990-2000, 2000-2010, 2010-2014, 2014-2016 and 1983-2016).

scholarly journals Spatio-temporal dynamics of land use changes in response to external pressures in Oman: Greenhouse cropping as an example

2016 ◽  
Vol 21 ◽  
pp. 33
Author(s):  
Michael L. Deadman ◽  
Abdullah M. Al-Sadi ◽  
Malik M. Al-Wardi ◽  
Khalifa S.M. Al-Kiyumi ◽  
W.M. Deadman ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Temporal Dynamics ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Groundwater Salinity ◽  
Northern Coast ◽  
Infrastructure Development ◽  
Spatio Temporal

Further from the northern coast of Oman new farm developments were more frequent than closer to the coast; they were also larger. The density of farms was highest close to Muscat although the distance enclosing 50% of farms had shifted away from Muscat during the study period. The dominance of Muscat is likely to be related to access to markets and infrastructure development. The increase in groundwater salinity was also highest close to Muscat and may be responsible for the shift in greenhouse density. Salinization of groundwater is severe close to the coast and was responsible for the reduced density of greenhouses near the coast. Land abandonment was highest close to Muscat and to the coast, reflecting changes in groundwater salinity and urbanization pressure. Less evidence was available for a direct shift from farmland to urban land use. Recent urban developments were largely located in areas already abandoned by agriculture. The paper also discusses likely future trends in land use change given that Oman’s population is increasing at over 2% annually and demand for urban land is increasing. The identification of a “salinity corridor” within which much of the future land use change may occur is discussed. 

scholarly journals Unravelling the Frontiers of Urban Growth: Spatio-Temporal Dynamics of Land-Use Change and Urban Expansion in Greater Accra Metropolitan Area, Ghana

Land ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 131 ◽  
Author(s):  
John E. K. Akubia ◽  
Antje Bruns
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Metropolitan Area ◽  
Open Space ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Urban Land Expansion ◽  
Accra Metropolitan Area ◽  
Spatio Temporal ◽  
Urban Extent

This study analyzed and assessed spatio-temporal dynamics of land-use change (LUC) and urban expansion (UE) within the Greater Accra Metropolitan Area (GAMA) of Ghana. This region serves as a case to illustrate how a major economic hub and political core area is experiencing massive spatial transformations, resulting in uneven geographies of urban land expansion. Quickbird/Worldview-2 images for the years 2008 and 2017 were segmented and classified to produce LUC maps. LUC and UE were analyzed by post-classification change detection and spatial metrics, respectively. The results revealed an intensive decrease in open-space by 83.46 km2, brushland/farmland (194.29 km2) and waterbody/wetland (3.32 km2). Conversely, forestland and urban built-up area increased by 3.45 km2 and 277.62 km2. Urban extent expanded from 411.45 km2 (27%) in 2008 to 689.07 km2 (46%) in 2017 at a rate of 5.9% and an intensity of 2.06% with an expansion coefficient of 1.5%, indicating low-density urban sprawl. The spatial pattern turned out to be an uneven and spatially differentiated outward expansion, which materialized mainly in districts located within the urban peripheries but intensely towards eastern and western directions, being the frontier and the hotspots of urbanization. Overall, the findings bear important implications for regional spatial planning and development.

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