A Gis Based Integrated Land Use/cover Change Model to Study Human-land Interactions
نویسندگان
چکیده
Land use and Land cover form an integral part of all modelling initiatives in case of global change studies and hence, there arises a need for time-series data of land use/cover. As such, we need suitable models to explain the changes in the land use patterns and the resulting land cover and also to forecast them. The model proposed here deals with the development and application of a new concept in simulating the land use/cover changes – the presence of an “agent” as the autonomous decision-maker. The biophysical characteristics of the specific lot of land (grid) and its economic potential (based on the macro-economic information) are considered within the existing demographic conditions at a given point in time, in arriving at the choice of the land use. The changes are simulated annually and the entire process is carried out on a grid (1km square) basis. The use of GIS platform and its tools has helped in analysing the microinformation (spatial) within the boundaries of the available macro-level (non-spatial) data. The model was developed and its application was tested to simulate the land use changes, for the period of 1980 to 1990, within the national boundaries of the Royal Kingdom of Thailand. As the model considers the agent behaviour explicitly and at the same time considers the different drivers to landuse, the model can also be used to understand the human responses to the changes in the environment.
منابع مشابه
Land 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 کاملSimulation 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 کاملAnnual Water Yield Estimation for Different Land Uses by GIS-Based InVEST Model (Case Study: Mish-khas Catchment, Ilam Province, Iran)
Fresh water supply and its security encounter a high level of fluctuating variability under global climate changes. To address these concerns in catchment water management, a good understanding of land use/cover impacts on the hydrological cycle affecting water supply is crucial. The objective of this study is to define a model to investigate the impact of existing land use/cover on water yield...
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 کاملپایش و پیشبینی روند تغییرات کاربری اراضی با استفاده از تصاویر ماهوارهای و زنجیرۀ مارکوف (مطالعۀ موردی: حوزۀ آبخیز سمل- استان بوشهر)
Assessment of land use spatiotemporal changes provide valuable data for managers to elaborate plans. Land use change modeling is one of the methods used by planers to manage land use changes. Detection of such changes may help decision makers and planners to understand the factors in land use and land cover changes in order to take effective and useful measures. Remote sensing (RS) and geograph...
متن کامل