ding (2025) Long-term seasonal surface environment dataset of DKH

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-12-12
• Authors: ding, zekun
• DOI: 10.17632/ck47657dk7

Research Groups

• zekun ding

Short Summary

This paper presents a long-term, seasonal surface environment dataset for the Dushanzi-Kuqa Highway region, comprising Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Fractional Vegetation Cover (FVC), and Temperature Vegetation Dryness Index (TVDI), derived from MODIS satellite data.

Objective

• To generate and share a comprehensive, long-term seasonal surface environment dataset (LST, NDVI, FVC, TVDI) for the area within 10 km of the Dushanzi-Kuqa Highway.

Study Configuration

• Spatial Scale: Area within 10 km around the Dushanzi-Kuqa Highway.
• Temporal Scale: Quarterly data spanning 25 years, from 2000 to 2024.

Methodology and Data

• Models used: Google Earth Engine (GEE) platform for data extraction; FVC and TVDI were calculated from the extracted LST and NDVI data.
• Data sources: MODIS satellite data.

Main Results

• The primary result is the creation and availability of a dataset containing LST, NDVI, FVC, and TVDI for the Dushanzi-Kuqa Highway region. This dataset provides seasonal measurements across four quarters (Q1: January-March; Q2: April-June; Q3: July-September; Q4: October-December) over a 25-year period (2000-2024).

Contributions

• This dataset offers a valuable, long-term, and seasonally resolved environmental monitoring resource for the Dushanzi-Kuqa Highway area, which can support remote sensing and environmental analysis studies by providing key surface parameters derived from satellite observations.

Funding

• Not specified in the provided text.

Citation

@article{ding2025Longterm,
  author = {ding, zekun},
  title = {Long-term seasonal surface environment dataset of DKH},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/ck47657dk7},
  url = {https://doi.org/10.17632/ck47657dk7}
}