BATSCCD：利用大地遥感卫星时间序列数据绘制快速变化城市地区楼龄图的新变化探测方法

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-05-27 DOI:10.1080/17538947.2024.2358859

Li Zhuo, Runjie Huang, Chuyao Liao, Haiyan Tao, Yunze Zang

引用次数: 0

摘要

楼龄是灾害脆弱性评估和建筑能耗建模的一个重要特征。它为建筑环境研究提供了不可或缺的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BATSCCD: a new change detection method for mapping building age in rapidly changing urban areas using Landsat time series data

The building age is an important feature in the vulnerability assessment of disasters and building energy consumption modeling. It provides indispensable information for the study of built environm...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.