Contact Information

  • Contact Name：Zhangzhe, Lu Yayang

  • Tel：010-82177601

  • Mail：luyy@aircas.ac.cn

  • Released by：Aerospace Information Research Institute,Chinese Academy of Sciences

A dataset of 16m changes in built-up areas of Haikou city from 2019 to 2020

Dataset Overview

By using the domestic gf-6 satellite data and adopting the deep learning model, the monitoring data set of urban land use change in Haikou from 2019 to 2020 is constructed, which provides a better construction role for urban construction and development.

Dataset Details

Download

Spatial Resolution:

Time Resolution:

Product Number: XDA19030105_007

Create Institution: International Research Center of Big Data for Sustainable Development Goals

Created By: Zhang Linlin

Creation Date: 2022-12-13 16:50:13

File Size: 1

Data Format: GeoTiff

Type Of Data: Raster;

Data Label:

GF-6

Haikou

urban information

change detection