A robust approach for predicting land use/cover changes through integrated LSTM neural networks and cellular automata
H Rezaie, S Pourebrahim, M Karimadini - Environment, Development and …, 2024 - Springer
In today's world, the increasing population growth and rapid urbanization lead to significant
changes in land use, often resulting in the conversion or destruction of natural landscapes …
changes in land use, often resulting in the conversion or destruction of natural landscapes …
A maps-to-maps approach for simulating urban land expansion based on convolutional long short-term memory neural networks
Z Zhou, Y Chen, X Liu, X Zhang… - International Journal of …, 2024 - Taylor & Francis
Cellular automata (CA) have been prevalently used for the simulation of urban land change.
However, how to effectively learn the spatial-temporal dynamics of urban development from …
However, how to effectively learn the spatial-temporal dynamics of urban development from …
A high‐performance cellular automata model for urban expansion simulation based on convolution and graphic processing unit
H Zeng, H Wang, B Zhang - Transactions in GIS, 2024 - Wiley Online Library
Cellular automata (CA) models are effective tools for simulating future urban expansion.
With the widespread use of high‐resolution geospatial data for CA simulation, the …
With the widespread use of high‐resolution geospatial data for CA simulation, the …
Coupling video vision transformer (ViVit) into land change simulation: a comparison with three-dimensional convolutional neural network (3DCNN)
H Li, L Fan, Y Gao, Z Liu, P Gao - Journal of Spatial Science, 2024 - Taylor & Francis
To enhance land use/cover change (LUCC) simulation accuracy, we introduced ViViT-ANN-
CA, blending video vision transformer's spatio-temporal features extraction ability, artificial …
CA, blending video vision transformer's spatio-temporal features extraction ability, artificial …
[HTML][HTML] Development of a convolutional neural network to accurately detect land use and land cover
C Acuña-Alonso, M García-Ontiyuelo… - MethodsX, 2024 - Elsevier
The detection and modeling of Land Use and Land Cover (LULC) play pivotal roles in
natural resource management, environmental modeling and assessment, and ecological …
natural resource management, environmental modeling and assessment, and ecological …
Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China
X Li, J Zhu, T Liu, X Yin, J Yao, H Jiang, B Bu, J Yan… - Land, 2023 - mdpi.com
Previous allocations of new urban land were ineffective because they lacked synergy
between quota and space, challenging the government planning authority. This study …
between quota and space, challenging the government planning authority. This study …
Coastal Urbanization and Ecosystem Services Depletion: An Italian Case Study
The exploitation of environmental resources and the growth of urbanization significantly
altered natural ecosystems, turning over time into socio-ecological systems strongly …
altered natural ecosystems, turning over time into socio-ecological systems strongly …
Urban Expansion Prediction using Supervised Classification and ConvLSTM
A Putpuek, N Putpuek, W Taosa - 2023 7th International …, 2023 - ieeexplore.ieee.org
Thailand has a strategy to shift its national positioning to Thailand 4.0 through a key strategic
initiative called EEC. Chachoengsao Province is part of EEC, which will be supported in …
initiative called EEC. Chachoengsao Province is part of EEC, which will be supported in …
Exploring Diversity and Time-aware Recommendations: A LSTM-DNN Model with Bidirectional DTW Algorithm
T Li, L Chen, H Sun, M Hou, Y Lei, K Zhi - 2023 - researchsquare.com
With the advent of the Web 3.0 era, the number and types of data in the network have
sharply increased, and the application scenarios of recommendation algorithms have also …
sharply increased, and the application scenarios of recommendation algorithms have also …