A dataset of 10m changes in built-up areas of Haikou city from 2016 to 2021
Using sentinel-2 satellite data and adopting deep learning model, the monitoring data set of urban land use change in Haikou from 2016 to 2021 is constructed, which provides a better construction role for urban construction and development.
Spatial Resolution: 10m
Time Resolution: 2-5 years
Product Number: XDA19030105_006
Create Institution: International Research Center of Big Data for Sustainable Development Goals
Created By: Zhang Linlin
Creation Date: 2022-12-13T08:50:13.228Z
File Size: 1
Data Format: GeoTiff
Type Of Data: Raster
Data Label:
Zhang Linlin. A dataset of 10m changes in built-up areas of Haikou city from 2016 to 2021. 2022.
Data set metadata and entity data are shared within the project during the project implementation period. The data generation or processing method is interpreted by the data author. The data user shall respect the copyright of the data author and the contribution of the service provider, and clearly mark or thank the data author and the data provider in the data exchange, dissemination, achievements and publicity.
Supported by Hainan Provincial Department of Science and Technology under Grant No. ZDKJ2019006 and the "Strategic Priority Research Program" of the Chinese Academy of Science, Grant No. XDA19030105