Probability Evaluation Study of Soil Erosion Types in the Songhua River Basin Based on Deep Learning and Gaussian Kernel Density Estimation

Probability Evaluation Study of Soil Erosion Types in the Songhua River Basin Based on Deep Learning and Gaussian Kernel Density Estimation

[Objective] To scientifically identify the types of soil erosion at the watershed scale and give the corresponding probability of occurrence. [Methods] This study constructs a deep learning (DL)-based model for calculating soil erosion modulus in the Songhua River Basin and calculates different type...

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Bibliographic Details
Main Authors: XING Zhenxiang, WANG Jiaqi, ZHANG Hongxue, SONG Jian, WANG Yinan, DUAN Weiyi, GONG Ming, HUANG Changli
Format: Article
Language:zho
Published: Editorial Department of Journal of Soil and Water Conservation 2024-10-01
Series:Shuitu Baochi Xuebao
Subjects:
songhua river basin
soil erosion
deep learning
gaussian kernel density estimation method
probability evaluation
Online Access:http://stbcxb.alljournal.com.cn/stbcxben/article/abstract/20240512
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