| 书目名称 | Urban Inequalities from Space | | 副标题 | Earth Observation Ap | | 编辑 | Monika Kuffer,Stefanos Georganos | | 视频video | | | 概述 | Offers a comprehensive overview of EO applications in LMIC cities.Connects with multiple Sustainable Development Goals (UN SDGs).Describes EO in a data scarce environment | | 丛书名称 | Remote Sensing and Digital Image Processing | | 图书封面 |  | | 描述 | Rapid transformation processes occur in the Majority World, where most of the global population is living (estimated around ¾ of the global population), often deprived of access to infrastructure, services, exposed to hazards and degrading environmental conditions. The continuous urbanization in many African, Asian and Latin American cities is coupled with rapid socio-economic and demographic changes in urban, peri-urban, and rural areas. These changes often increase socio-economic fragmentation and existing disparities. According to the United Nations, of the 36 fastest growing cities (with an average annual growth rate of more than 6%), seven are located in Africa, while 28 are found in Asia. On top of the socio-economic transformations, the increasing impact of climate change is expected to increase local vulnerabilities. However, data to understand these transformation processes and relationships are either unavailable, scarce or come with high degrees of uncertainty. Earth Observation information and methods have a great potential to fill data gaps, but they are not exploited to their full potential. Most urban remote sensing studies in the Majority World focus on the primary | | 出版日期 | Book 2024 | | 关键词 | Artificial Intelligence; Earth Observation; Global South; Low and Middle Income Countries; Majority Worl | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-49183-2 | | isbn_softcover | 978-3-031-49185-6 | | isbn_ebook | 978-3-031-49183-2Series ISSN 1567-3200 Series E-ISSN 2215-1842 | | issn_series | 1567-3200 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:43:57
