A Thesis on the Changes of Environmental Characteristics Based on Multi-Temporal Remote Sensing Imagery--The Case of Changbaishan Region
Hongjin Li
DOI: https://doi.org/10.59429/pest.v5i3.1719
Keywords: Multi-Temporal Remote Sensing Data; Multi-Dimensional Categorical Feature Dataset; Surface Cover
Abstract
The multidimensional classification feature dataset produced by using multi-temporal remote sensing data can fully exploit the vegetation information in remote sensing images to improve the classification accuracy of the surface cover information. In this paper, for example, the Songnen Plain in Changbai Mountain Range, which is one of the saline-alkaline soil distribution areas, is utilized to extract 11 types of surface cover information in the experimental area through different classification methods using the multidimensional classification feature dataset produced by multi-temporal Landsat8 remote sensing data, and the accuracy comparison analysis is carried out.
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