Dataset for: Topographic reconstruction, basin reorganization, and hydrological responses in an open-pit coal mine: A remote sensing–driven multi-scenario analysis
Description
This repository contains the processed datasets supporting the manuscript entitled “Topographic reconstruction, basin reorganization, and hydrological responses in an open-pit coal mine: A remote sensing–driven multi-scenario analysis.” The dataset includes manuscript source tables, unified subbasin-scale analysis datasets under the 2014-based reference framework, land-use, terrain, hydrological response, recovery-index, and dominant-driver statistics, as well as source data for selected main-text figures. The study investigates pre-mining (2006), post-mining (2014), and post-restoration (2024) stages in the Juhugeng open-pit coal mine, Muli mining area, China. The data package is intended to support the reproducibility of the analyses on land-surface reconfiguration, topographic reconstruction, basin reorganization, and hydrological response. Original remote sensing imagery and some third-party source datasets are not included in this repository and should be obtained from their respective providers as cited in the manuscript. This repository focuses on processed datasets directly supporting the published tables, figures, and conclusions.
Files
Steps to reproduce
The repository contains processed datasets used to generate the manuscript tables and selected figures. To reproduce the main results, users should first read the file README_data_description.txt, which describes the folder structure, variable names, abbreviations, and units. The core dataset is the unified subbasin analysis dataset under the 2014-based reference framework. Manuscript tables can be reproduced from the files in 01_Manuscript_Tables, and figure source data are provided in 03_Figure_Source_Data. The study compares three stages of land-surface evolution in the Juhugeng open-pit coal mine: pre-mining (2006), post-mining (2014), and post-restoration (2024). Original remote sensing imagery and some third-party source datasets are not included in this repository and should be obtained from their respective providers as cited in the manuscript.
Institutions
- China University of Mining and Technology - BeijingBeijing, Beijing