CMAB-A First National-Scale Multi-Attribute Building Dataset

Published: 31 July 2024| Version 1 | DOI: 10.17632/b4t2wxhn2y.1
Contributors:
,
, Ying Long

Description

This data is the building data with a total rooftop area of 21.3 billion square meters in 3,667 natural cities in China, including the attribute of building height, function, age and quality, as well as the code files used to calculate these data. The deep learning models used are OCRNet, XGBoost and Yolo-v8. Please refer to the paper and README file for details of specific parameters.

Files

Institutions

Categories

Remote Sensing, Urban Planning, Building, 3D Geographical Information System

Funders

Licence