Road network dataset of Chenzhou City and Guilin City from 2022 to 2024

Dataset Overview

An integrated auto-registration and fusion workflow for SDGSAT-1 nighttime-light (NTL) data is used to generate 10-m resolution composite images that provide high-quality inputs for road extraction. A training sample set of NTL roads is built for Chenzhou and Guilin, and a deep-learning-based extraction method—an improved U-Net model—is developed to automatically map the road network in both cities. An NTL-driven updating pipeline for OpenStreetMap (OSM) roads is then established, delivering spatial-distribution and density products of the road network for Chenzhou and Guilin. These datasets support urban road-density analysis and city-wide accessibility studies.

Dataset Details

Download

Spatial Resolution:

Time Resolution:

Product Number: CBAS2026-SJGX-001

Create Institution: International Research Center of Big Data for Sustainable Development Goals（CBAS）;Big Earth Data Center,CAS

Created By: Hui Li,yichen Jiang

Creation Date: 2026-02-04 09:08:34

File Size: 1

Data Format: shp

Type Of Data: 矢量

Data Label:

Road networks