A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change

M Reba, KC Seto - Remote sensing of environment, 2020 - Elsevier
Historically, change detection reviews have examined and categorized algorithms based on
their techniques for the remote sensing community. Here, we synthesize urban land change …

Application of Cellular automata and Markov-chain model in geospatial environmental modeling-A review

P Ghosh, A Mukhopadhyay, A Chanda… - Remote Sensing …, 2017 - Elsevier
Abstract Cellular Automata (CA) & Markov-Chain modeling are concepts that are utilized in
numerous branches of science. Powerful as they are independently, these two theoretical …

Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques

S Mansour, M Al-Belushi, T Al-Awadhi - Land use policy, 2020 - Elsevier
As a result of the socioeconomic transformation, the rapid urban expansion of cities and
towns in the Gulf Cooperation Council (GCC) states has predominately led to tremendous …

Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model

A Gharaibeh, A Shaamala, R Obeidat, S Al-Kofahi - Heliyon, 2020 - cell.com
Urban growth and land-use change are a few of many puzzling factors affecting our future
cities. Creating a precise simulation for future land change is a challenging process that …

Land use/land cover dynamics and modeling of urban land expansion by the integration of cellular automata and markov chain

B Rimal, L Zhang, H Keshtkar, BN Haack… - … International Journal of …, 2018 - mdpi.com
This study explored the past and present land-use/land-cover (LULC) changes and urban
expansion pattern for the cities of the Kathmandu valley and their surroundings using …

Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling

X Li, Y Zhou, M Hejazi, M Wise, C Vernon… - … Earth & Environment, 2021 - nature.com
Long term, global records of urban extent can help evaluate environmental impacts of
anthropogenic activities. Remotely sensed observations can provide insights into historical …

Detecting the boundaries of urban areas in india: A dataset for pixel-based image classification in google earth engine

R Goldblatt, W You, G Hanson, AK Khandelwal - Remote Sensing, 2016 - mdpi.com
Urbanization often occurs in an unplanned and uneven manner, resulting in profound
changes in patterns of land cover and land use. Understanding these changes is …

[HTML][HTML] Exploring the spatio-temporal dynamics of ecosystem health: A study on a rapidly urbanizing metropolitan area of Lower Gangetic Plain, India

M Das, A Das, P Pereira, A Mandal - Ecological Indicators, 2021 - Elsevier
Abstract The assessment of Ecosystem Health (EH) is crucial for effective ecosystem
services (ES) management and global environmental change assessment. This study aims …

Monitoring and modeling of spatiotemporal urban expansion and land-use/land-cover change using integrated Markov chain cellular automata model

B Rimal, L Zhang, H Keshtkar, N Wang… - … International Journal of …, 2017 - mdpi.com
Spatial–temporal analysis of land-use/land-cover (LULC) change as well as the monitoring
and modeling of urban expansion are essential for the planning and management of urban …

Use of high resolution Google Earth satellite imagery in landuse map preparation for urban related applications

K Malarvizhi, SV Kumar, P Porchelvan - Procedia Technology, 2016 - Elsevier
The fundamental data required by urban planners and policy makers is accurate information
on current landuse practices in a city or town and how it changes over the past for carrying …