Abstract
The universal remote sensing image processing software focuses on the preprocessing of remote sensing data, and it is used to implement the monitoring and evaluation functions of the ecological environment such as drought and flood. The operation is complex. In order to simplify the work process of natural geographical environment monitoring and assessment, GIS technology and data mining technology were combined in this paper. With monitoring and evaluation as the core, a decision tree model was constructed. Taking the Dongting Lake as an example, the scale and characteristics of its texture were studied, and combined with other ancillary data, the Dongting land information was explored and the land types were classified. Finally, a conclusion was reached: The algorithm designed in this paper can be applied to the land types of the natural geographical environment. The classification model has a positive guiding role in the judgment of environmental monitoring and assessment.
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Supported by State Grid Tianjin Electric Power Company science and technology project, Key technology research on environmental risk early warning and wastewater treatment for substation based on big data analysis (Project No. KJ21-1-38).
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Communicated by Irfan Uddin.
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Zhang, F., Ji, G., Zhang, X. et al. Research and application of GIS and data mining technology in monitoring and assessment of natural geography environment. Soft Comput 26, 7781–7787 (2022). https://doi.org/10.1007/s00500-022-06781-x
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DOI: https://doi.org/10.1007/s00500-022-06781-x