[HTML][HTML] Cellular automata-based artificial neural network model for assessing past, present, and future land use/land cover dynamics

B Sajan, VN Mishra, S Kanga, G Meraj, SK Singh… - Agronomy, 2022 - mdpi.com
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 …

Spatiotemporal dynamics of wetlands and their future multi-scenario simulation in the Yellow River Delta, China

B Yu, Y Zang, C Wu, Z Zhao - Journal of Environmental Management, 2024 - Elsevier
Wetlands, known as the “kidney of the earth”, are an important component of global
ecosystems. However, they have been changed under multiple stresses in recent decades …

Evaluation of future wetland changes under optimal scenarios and land degradation neutrality analysis in the Guangdong-Hong Kong-Macao Greater Bay Area

K Peng, W Jiang, X Wang, P Hou, Z Wu… - Science of The Total …, 2023 - Elsevier
Wetlands are one of the most productive ecosystems on Earth and are also focused on by
the Sustainable Development Goals (SDGs). However, global wetlands have suffered from …

[HTML][HTML] What is the future for production-living-ecological spaces in the Greater Bay Area? A multi-scenario perspective based on DEE

J Wu, D Zhang, H Wang, X Li - Ecological Indicators, 2021 - Elsevier
Rapid industrialization and urbanization accelerate land use and land cover change,
resulting in problems of stability and health with ecosystem services losses. It remains …

Modeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, Ethiopia

G Sisay, B Gessesse, C Fürst, M Kassie, B Kebede - Heliyon, 2023 - cell.com
Abstract Land Use/Land Cover (LULC) change has inhibited sustainable development for
the last millennia by affecting climate, biological cycles, and ecosystem services and …

[HTML][HTML] Spatio-temporal changes of Vegetation Cover and its influencing factors in Northeast China from 2000 to 2021

M Li, Q Yan, G Li, M Yi, J Li - Remote Sensing, 2022 - mdpi.com
The foundation of study on regional environmental carrying capacity is the detection of
vegetation changes. A case of Northeast China, we, with the support of normalized …

[HTML][HTML] Scenario analysis of the relationship among ecosystem service values—A case study of Yinchuan Plain in northwestern China

C Zhang, Y Bai, X Yang, Z Gao, J Liang, Z Chen - Ecological Indicators, 2022 - Elsevier
Clarifying the relationships among regional ecosystem service values is important for
ecosystem service management. However, most current studies are based on historical …

Dominant transition probability: Combining CA-Markov model to simulate land use change

S Wang, X Zheng - Environment, Development and Sustainability, 2023 - Springer
Land use change models have been widely used to predict the changes in the future and
provide different scenarios under different policies. However, most models commonly …

Uncommonly known change characteristics of land use pattern in Guangdong Province–Hong Kong–Macao, China: Space time pattern, terrain gradient effects and …

Y Chen, W Chen, J Gong, H Yuan - Land Use Policy, 2023 - Elsevier
Previous studies on land use have largely focused on characteristics of quota allocation and
spatial distribution based on time series analysis. However, indwelling patterns, combined …

[HTML][HTML] Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages

D García-Álvarez, MTC Olmedo, H Van Delden… - … Modelling & Software, 2022 - Elsevier
Research on the uncertainty of Land Use Cover Change (LUCC) models is still limited.
Through this paper, we aim to globally characterize the structural uncertainty of four common …