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相关论文: Mapping New Informal Settlements using Machine Lea…

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Informal settlements are home to the most socially and economically vulnerable people on the planet. In order to deliver effective economic and social aid, non-government organizations (NGOs), such as the United Nations Children's Fund…

By early March 2020, five million Venezuelans had fled their home country after its complete economic and institutional collapse, and over 1.6 million have migrated to Colombia. Migrants struggle to start their lives over in Colombia,…

社会与信息网络 · 计算机科学 2020-05-13 Adam Chang

Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most socially and economically vulnerable people on the planet. Thus,…

Monitoring migration flows is crucial to respond to humanitarian crisis and to design efficient policies. This information usually comes from surveys and border controls, but timely accessibility and methodological concerns reduce its…

Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most socially and economically vulnerable people on the planet. Thus,…

Data collection through censuses is conducted every 10 years on average in Latin America, making it difficult to monitor the growth and support needed by communities living in these settlements. Conducting a field survey requires logistical…

计算机与社会 · 计算机科学 2020-06-26 Federico Bayle , Damian E. Silvani

This extended abstract describes an ongoing project that attempts to blend publicly available organic, real time behavioral data, event data, and traditional migration data to determine when and where people will move during times of…

计算机与社会 · 计算机科学 2020-07-14 Lisa Singh , Katharine Donato , Ali Arab , Tomas Alvarez Belon , Abraham Fraifeld , Sean Fulmer , Douglas Post , Yanchen Wang

Identifying current and future informal regions within cities remains a crucial issue for policymakers and governments in developing countries. The delineation process of identifying such regions in cities requires a lot of resources. While…

计算机与社会 · 计算机科学 2018-08-21 Mohamed R. Ibrahim , Helena Titheridge , Tao Cheng , James Haworth

One billion people worldwide are estimated to be living in slums, and documenting and analyzing these regions is a challenging task. As compared to regular slums; the small, scattered and temporary nature of temporary slums makes data…

计算机视觉与模式识别 · 计算机科学 2022-08-10 M. Fasi ur Rehman , Izza Ali , Waqas Sultani , Mohsen Ali

Humanitarian agencies must be prepared to mobilize quickly in response to complex emergencies, and their effectiveness depends on their ability to identify, anticipate, and prepare for future needs. These are typically highly uncertain…

The major Sustainable Development Goals (SDG) 2030, set by the United Nations Development Program (UNDP), include sustainable cities and communities, no poverty, and reduced inequalities. However, millions of people live in slums or…

计算机视觉与模式识别 · 计算机科学 2024-06-13 Anjali Raj , Adway Mitra , Manjira Sinha

Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to capture such movements effectively, leading to a scarcity of…

计算机与社会 · 计算机科学 2024-06-24 Paul Blanchard , Stefania Rubrichi

Nearly 110 million people are forcibly displaced people worldwide. However, estimating the scale and patterns of internally displaced persons in real time, and developing appropriate policy responses, remain hindered by traditional data…

物理与社会 · 物理学 2025-04-02 Rodgers Iradukunda , Francisco Rowe , Elisabetta Pietrostefani

High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, allocation of humanitarian resources, and international…

社会与信息网络 · 计算机科学 2024-04-23 Vedran Sekara , Andrea Martini , Manuel Garcia-Herranz , Do-Hyung Kim

Knowledge of the spatial organisation of economic activity within a city is key to policy concerns. However, in developing cities with high levels of informality, this information is often unavailable. Recent progress in machine learning…

综合经济学 · 经济学 2021-04-13 Daniel Straulino , Juan C. Saldarriaga , Jairo A. Gómez , Juan C. Duque , Neave O'Clery

Armed conflict has led to an unprecedented number of internally displaced persons (IDPs) - individuals who are forced out of their homes but remain within their country. IDPs often urgently require shelter, food, and healthcare, yet…

应用统计 · 统计学 2023-07-27 Benjamin Q. Huynh , Sanjay Basu

We present a semi-supervised approach that disaggregates refugee statistics from administrative boundaries to 0.5-degree grid cells across 25 Sub-Saharan African countries. By integrating UNHCR's ProGres registration data with…

机器学习 · 计算机科学 2025-06-11 Andrew Wells , Geraldine Henningsen , Brice Bolane Tchinde Kengne

Mapping informal settlements is crucial for addressing challenges related to urban planning, public health, and infrastructure in rapidly growing cities. Geospatial machine learning has emerged as a key tool for detecting and mapping these…

机器学习 · 计算机科学 2025-10-01 Thomas Hallopeau , Joris Guérin , Laurent Demagistri , Christovam Barcellos , Nadine Dessay

Spatially consistent and up-to-date maps of human settlements are crucial for addressing policies related to urbanization and sustainability, especially in the era of an increasingly urbanized world.The availability of open and free…

图像与视频处理 · 电气工程与系统科学 2020-10-30 Christina Corbane , Vasileios Syrris , Filip Sabo , Panagiotis Politis , Michele Melchiorri , Martino Pesaresi , Pierre Soille , Thomas Kemper

Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10m resolution (0.32 arc sec) global map of human…

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