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Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review
Spatio-temporal land-use change modeling, simulation, and prediction have become one of
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China
C Li**, S Yujun, S Saeed - PloS one, 2018 - journals.plos.org
Land use and land cover change research has been applied to landslides, erosion, land
planning and global change. Based on the CA-Markov model, this study predicts the spatial …
planning and global change. Based on the CA-Markov model, this study predicts the spatial …
Predicting land use/land cover changes using a CA-Markov model under two different scenarios
Multi-temporal Landsat images from Landsat 5 Thematic Mapper (TM) acquired in 1993,
1998, 2003 and 2008 and Landsat 8 Operational Land Imager (OLI) from 2017, are used for …
1998, 2003 and 2008 and Landsat 8 Operational Land Imager (OLI) from 2017, are used for …
Integrating potential ecosystem services losses into ecological risk assessment of land use changes: A case study on the Qinghai-Tibet Plateau
Y Liang, W Song - Journal of environmental management, 2022 - Elsevier
In recent years, climate change has caused a significant increase in the natural disaster risk
on a global scale, posing a great threat to humans and ecosystems. In addition to natural …
on a global scale, posing a great threat to humans and ecosystems. In addition to natural …
Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India
The study on land use and land cover (LULC) changes assists in analyzing the change and
regulates environment sustainability. Hence, this research analyzes the Northern TN coast …
regulates environment sustainability. Hence, this research analyzes the Northern TN coast …
[HTML][HTML] Cellular automata-based artificial neural network model for assessing past, present, and future land use/land cover dynamics
Land use and land cover change (LULCC) is among the most apparent natural landscape
processes impacted by anthropogenic activities, particularly in fast-growing regions. In India …
processes impacted by anthropogenic activities, particularly in fast-growing regions. In India …
A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India
Land use and land cover (LULC) changes are recognized as one of the most significant
driver of environmental changes, mainly due to rapid urbanization. In this paper, an attempt …
driver of environmental changes, mainly due to rapid urbanization. In this paper, an attempt …
Hydrological inferences through morphometric analysis of lower Kosi river basin of India for water resource management based on remote sensing data
Satellite based remote sensing technology has proven to be an effectual tool in analysis of
drainage networks, study of surface morphological features and their correlation with …
drainage networks, study of surface morphological features and their correlation with …
[HTML][HTML] Quantitatively assessing the future land-use/land-cover changes and their driving factors in the upper stream of the Awash River based on the CA–markov …
MH Daba, S You - Sustainability, 2022 - mdpi.com
Despite the rapid economic and population growth, the risks related to the current dynamics
of land use and land cover (LULC) have attracted a lot of attention in Ethiopia. Therefore, a …
of land use and land cover (LULC) have attracted a lot of attention in Ethiopia. Therefore, a …
Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model
The spatiotemporal variation of any landscape patterns is as a result of complex interactions
of social, economic, demographic, technological, political, biophysical and cultural factors …
of social, economic, demographic, technological, political, biophysical and cultural factors …