A GIS Based Integrated Land Use/Cover Change Model to Study Agricultural and Urban Land Use Changes
نویسندگان
چکیده
Land use and land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate such changes. The authors have developed a national scale, integrated, dynamic time-series simulation model called the ‘Anthropogenically Engineered Transformations of Land Use and Land Cover’ (AGENT-LUC) Model, which simulates two major land uses that are influenced by humankind – agricultural and urban land uses. The land use transformations are a result of the interaction of the biophysical drivers and human drivers. It applies the concept of the presence of an “agent” as the decision-maker based on the information available to it at a particular point in time and space, in simulating the land use/cover changes. In the process of development of this model, a new spatial model for population growth and changes has also been developed, which has shown that the land use conditions is a major contributing factor in the migratory tendencies. Model outputs are the changes in the cropping pattern of the agricultural land area, the expansion of the agricultural lands, rural-urban migrations and the spread of the urban areas. The model was applied to the Royal Kingdom of Thailand, at a decadal time step and the spatial and temporal results will be presented in the paper. The changes are simulated annually and the entire process is carried out on a grid (1km square) basis.
منابع مشابه
Simulation and prediction of land use and land cover change using GIS, remote sensing and CA-Markov model
This study analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. The results inform planners and decision makers of past and current spatial dynamics of land use/land cover change and predicted urban expansion, for a better understanding and successful...
متن کاملLand use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model
Analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. In this study, the land use maps in the Ardabil plain in north-west part of Iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. T...
متن کاملAnalyzing and modeling urban sprawl and land use changes in a developing city using a CA-Markovian approach
Mashhad City, according to the latest official statistics of the country is the second populated city after Tehran and is the biggest metropolis in the east of Iran. Considering the rapid growth of the population over the last three decades, the city’s development area has been extended, significantly. This significant expansion has impacted natural lands on suburb and even some parts e.g. rang...
متن کاملLand cover land use mapping and change detection analysis using geographic information system and remote sensing
Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...
متن کاملEvaluation of Land Cover Changes Ysing Remote Sensing Technique (Case study: Hableh Rood Subwatershed of Shahrabad Basin)
The growing population and increasing socio-economic necessities creates a pressure on land use/land cover. Nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. This study investigates the land use changes in part of Hableh Rood Watershed of Iran using Landsat 7 and 8 (Sensor ETM+ and OLI) ...
متن کامل