Data and codes for “Deep learning integrated scale conversion and pedo-transfer function estimation to avoid potential errors in cross-scale parameter transfer”

Harvard Dataverse2025-01-01 更新2026-04-09 收录

土壤参数尺度转换

深度学习土壤传递函数

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8VJDPT 数据链接链接失效反馈

官方服务：

资源简介：

This dataset provides the relevant data and codes to reproduce the results of the manuscript "Deep learning integrated scale conversion and pedo-transfer function estimation to avoid potential errors in cross-scale parameter transfer".

提供机构：

UK Centre for Ecology and Hydrology, Lancaster LA1 4YQ, UK; Department of Remote Sensing, Helmholtz Centre for Environmental Research—UFZ, Permoserstrasse 15, Leipzig 04318, Germany; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, 04318 Leipzig, Germany

创建时间：

2025-01-01

Data and codes for “Deep learning integrated scale conversion and pedo-transfer function estimation to avoid potential errors in cross-scale parameter transfer”

资源简介：

相关数据集