Comparison of CA-Markov prediction results from different datasets

Yundan Bai; Fayun Li; Weiyu Yu; Shuang Du; Xianyun Wang

doi:10.1117/12.2668178

23 February 2023 Comparison of CA-Markov prediction results from different datasets

Yundan Bai, Fayun Li, Weiyu Yu, Shuang Du, Xianyun Wang

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255108 (2023) https://doi.org/10.1117/12.2668178
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

With the development of remote sensing technology and artificial intelligence, land use data emerge in endlessly. In order to explore the characteristics, suitability and advantages and disadvantages of different land use datasets, this paper takes Shanghai as an example to analyse the land use change trend of ESACCI, GlobeLand 30 and MCD12Q1 datasets from 2000 to 2020 by using land use dynamic degree. Based on CA-Markov model, the development trend of land use change in 2020 and 2030 is simulated and predicted, respectively. Results: (1) The CA-Markov model was verified, and the Kappa coefficient of accuracy test was greater than 0.75, indicating that the model was reliable. (2) Comparing and analysing the existing data of the three datasets, the results show that there are great differences in different land use datasets; (3) Comparing the simulation results of three datasets, the results show that there is no necessary connection between data resolution and simulation results.

Citation Download Citation

Yundan Bai, Fayun Li, Weiyu Yu, Shuang Du, and Xianyun Wang "Comparison of CA-Markov prediction results from different datasets", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255108 (23 February 2023); https://doi.org/10.1117/12.2668178

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