image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

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...

The temporal non-stationarity of land use and cover change (LUCC) processes is one the main sources uncertainty that may influence calibration validation spatial path-dependent LUCC models. In relation to that, this research aims investigate on urban growth modeling accuracy based an empirical approach uses past LUCC. Accordingly, development in Rennes Metropolitan (France) was simulated using ...

Projections and predictions of urban growth provide information that can lead to a certain level preparedness for making cities resilient sustainable. To ascertain the degree confidence in predicting growth, this paper back-tests Cellular Automata (CA)-Markov Prediction Model (PM) by comparing results model 2010 2020 with actual land-use patterns Isparta same years. The data used are Landsat im...

The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis agricultural production and protects habitat security. This paper investigates dynamic evolution ecotone in Tarim River Basin predicts near-future land-use change using cellular automata–Markov (CA-Markov) model. Results indicate that overall area shows shrinking trend (from 67,642 km2 1990 to 46,613 2015) ...

The present study attempts to model the spatiotemporal urban growth of Kolkata metropolitan area (KMA), India, in a comparative modeling framework using three (remote sensing and geographic information system) RS-GIS integrated techniques, namely stochastic-choice Markov-chain (STCHOICE), cellular automata-Markov (CA-MARKOV), multi-layer perceptron neural network (MLPNN) coupled with approaches...

We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and cover (LULC) changes in Cholistan Thal deserts Punjab, Pakistan. plotted distribution of LULC throughout desert terrain for years 1990, 2006 2022. The Random Forest methodology was utilized classify data obtained from Landsat 5 (TM), 7 (ETM+) 8 (OLI/TIRS), as well ancillary data. maps generated using thi...

Ketahanan pangan selalu menjadi agenda penting dalam pembangunan nasional. Pada satu sisi, pertumbuhan penduduk membutuhkan ruang dan pangan. Penelitian bertujuan untuk menganalisis prediksi perubahan lahan sawah di wilayah perkotaan Pangkajene pada tahun 2028 serta mengetahui potensi terhadap persepsi masyarakat Pangkajene. Metode yang digunakan penelitian ini adalah metode kuantitatif deskrip...

This paper investigates the potential of a cellular automata (CA) model based on logistic regression (logit) and Markov Chain Monte Carlo (MCMC) to simulate the dynamics of urban growth. The model assesses urbanization likelihood based on (i) a set of urban development driving forces (calibrated based on logit) and (ii) the land-use of neighboring cells (calibrated based on MCMC). An innovative...