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云环境下基于CA⁃Markov 的土地利用变化 预测方法.
- Source :
-
Geomatics & Information Science of Wuhan University . Jul2020, Vol. 45 Issue 7, p1021-1034. 7p. - Publication Year :
- 2020
-
Abstract
- Traditional land-use change prediction methods are usually implemented by serial algorithms or semi-manual methods and they were often inefficient. This paper develops a parallel land-use change prediction method based on cloud lomputing (Cloud-CMLP), the map reduce programming model is used to parallelize and extend the cellular automata(CA)-Markov model. Taking Hangzhou as a study area, the experiments are conducted as follows: ① Efficiency tests are conducted to compare the core algorithms of Cloud- CMLP under the different number of data. ② The Cloud-CMLP method is used to simulate the land-use change in 2013, and the simulated results are compared with the 2013 remote sensing image classification results to verify the validity of Cloud - CMLP method. ③ The land - use change in 2020 is predicted and analyzed by using Cloud-CMLP, and the predicted results show that the land area of urban construction is rising rapidly and mainly come from the conversion of agricultural land. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CELLULAR automata
*FARMS
*FORECASTING
*REMOTE sensing
*CITIES & towns
Subjects
Details
- Language :
- Chinese
- ISSN :
- 16718860
- Volume :
- 45
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Geomatics & Information Science of Wuhan University
- Publication Type :
- Academic Journal
- Accession number :
- 144683828
- Full Text :
- https://doi.org/10.13203/j.whugis20180319