Simulation of Land-Cover Changes: Integrating GIS, SocioEconomic and Ecological Processes, and Markov Chain Models

1998 ◽  
pp. 263-274
Author(s):  
Yelena Ogneva-Himmelberger
2019 ◽  
Author(s):  
Inne Audina Irawan ◽  
S Supriatna ◽  
MDM Manessa ◽  
Y Ristya

The development of a city is a manifestation of regional development. The impact of the development of a city is the occurrence of land cover changes and increase of the settlement areas. In 2002-2018 the vegetation land cover experienced a drastic decline and experienced land conversion into the settlement areas so that the area of settlement land cover increased. This study aims to analyze the spatial patterns of settlement land cover changes that are affected by the existence of BOCIMI Toll road in the Sukabumi Regency, West Java using the Cellular Automata - Markov Chain (CA-MC) method, and modeling for 2032 based on the driving factor (driving factor) applied to the model. CAMC is a simple model of a spatially distributed process in a Geographic Information System (GIS). Five variables used as driving factors, elevation, slope, distance from the river, distance from the road, distance from the toll gates and distance from the toll road. The results of the model show that there are some changes in land cover and an increase of the settlement area that is affected by the physical and infrastructure factors in Sukabumi Regency, it can be seen that the kappa value is 0.8352 or 83.52%. Further, it is necessary to analyze the Sukabumi Regency model and the Regional Spatial Plan (RTRW) to see the growth and direction of the settlement area in Sukabumi Regency.


Human Ecology ◽  
2021 ◽  
Author(s):  
Clemens Greiner ◽  
Hauke-Peter Vehrs ◽  
Michael Bollig

AbstractThe ongoing fragmentation of pastoral drylands is a matter of concern throughout Africa. Using the example of rangelands in northern Baringo County, Kenya, that were under uniform pastoral use until the late twentieth century, we trace land-use and land-cover changes (LULCCs) since the 1980s. Based on ethnographic, historical, and remote sensing data, we show how bush encroachment and dryland farming have led to the increasing modification and conversion of formerly open rangelands and the diversification of livelihoods. These LULCC dynamics are related to and driven not only by internal processes of socioeconomic change (e.g., sedentarization, changing rangeland management practices, growing markets for small stock, increasing stratification and cultural differentiation) but also by ecological processes such as wildlife defaunation and ecological invasions. Based on our findings, we suggest that a socioecological approach to Kopytoff’s notion of the internal African frontier can be helpful in framing these LULCC-related dynamics.


2021 ◽  
Vol 6 (3) ◽  
pp. 301
Author(s):  
Fahrudin Hanafi ◽  
Dinda Putri Rahmadewi ◽  
Fajar Setiawan

Land cover changes based on cellular automata for surface temperature in Semarang Regency has increased significantly due to the continuous rise in its population. Therefore, this study aims to identify, analyze and predict multitemporal land cover changes and surface temperature distribution in 2028. Data on the land cover map were obtained from Landsat 7 and 8 based on supervised classification, while Land Surface Temperature (LST) was calculated from its thermal bands. The collected data were analyzed for accuracy through observation, while Cellular Automata - Markov Chain was used to predict the associated changes in 2028. The result showed that there are 4 land cover maps with 5-year intervals from 2003 to 2018 at an accuracy of more than 85%. Furthermore, the existing land covers were dominated by forest with decreasing trend, while the built-up area continuously increased. The existing Land surface temperature range from 20.6°C to 36.6°C, at an average of 28.2°C and a yearly increase of 0.07°C. The temperature changes are positively correlated with the occurrence of land conversion. Land cover predictions for 2028 show similar forest dominance, with a 23,4% built-up area at a surface temperature of 28.9°C. Keywords: Land cover change; Cellular Automata-Markov Chain; Land Surface Temperature Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember     This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License


Sign in / Sign up

Export Citation Format

Share Document