Urban Land Use and Land Cover Change Prediction via Self-Adaptive Cellular Based Deep Learning With Multisourced Data

Author(s):  
Lin Mu ◽  
Lizhe Wang ◽  
Yuewei Wang ◽  
Xiaodao Chen ◽  
Wei Han
2021 ◽  
Vol 10 (6) ◽  
pp. 383
Author(s):  
Min Jin ◽  
Ruyi Feng ◽  
Lizhe Wang ◽  
Jining Yan

Simulating and predicting the development and changes in urban land change can provide valuable references for the sustainable development of cities. However, the change process of urban land-use/land-cover is a complex process involving multiple factors and multiple relationships. This dilemma makes it very challenging to accurately simulate the results and to make predictions. In response to this problem, we started with the physical characteristics of the land-use/land-cover change process and constructed a diffusion equation to simulate and predict urban land-use/land-cover changes. The diffusion equation is used to describe the diffusion characteristics of the land-use/land-cover change process, which helps to understand the urban land-use/land-cover change process. The experimental results show that (1) the diffusion equation we constructed can simulate urban land-use/land-cover changes, (2) the simulation process of the model is not limited by the time interval of the time series data itself, and (3) the model only requires one parameter without other constraints.


Author(s):  
Arun Das ◽  
Koichi Kimoto ◽  
K. Jabir ◽  
Dhritiraj Sengupta ◽  
B. S. Shriharsha ◽  
...  

2019 ◽  
Vol 11 (03) ◽  
pp. 347-358
Author(s):  
Banki Thomas Chunwate ◽  
Sani Yahaya ◽  
Ishaya Kunden Samaila ◽  
Shittu Whanda Ja’afaru

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