Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping

Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping

Information about urban land use is important for urban planning and sustainable development. The emergence of geospatial big data (GBD), increased the availability of remotely sensed (RS) data and the development of new methods for data integration to provide new opportunities for mapping types of...

Full description

Bibliographic Details
Main Authors: Jiadi Yin, Ping Fu, Nicholas A. S. Hamm, Zhichao Li, Nanshan You, Yingli He, Ali Cheshmehzangi, Jinwei Dong
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
urban land use
remote sensing
geospatial big data
decision-level integration
feature-level integration
Hangzhou
Online Access:https://www.mdpi.com/2072-4292/13/8/1579

Internet

https://www.mdpi.com/2072-4292/13/8/1579

Similar Items