Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …
have applied mobility data to explore spatiotemporal trends over time, investigate …
[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
[PDF][PDF] Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use
Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
Urbanization is one of the most impactful human activities across the world today affecting
the quality of urban life and its sustainable development. Urbanization in Africa is occurring …
the quality of urban life and its sustainable development. Urbanization in Africa is occurring …
Deep convolutional neural network for flood extent mapping using unmanned aerial vehicles data
A Gebrehiwot, L Hashemi-Beni, G Thompson… - Sensors, 2019 - mdpi.com
Flooding is one of the leading threats of natural disasters to human life and property,
especially in densely populated urban areas. Rapid and precise extraction of the flooded …
especially in densely populated urban areas. Rapid and precise extraction of the flooded …
Accurate water extraction using remote sensing imagery based on normalized difference water index and unsupervised deep learning
Large-scale monitoring of surface water bodies is of great significance to the sustainable
development of regional ecosystems. Remote sensing is currently the main method of global …
development of regional ecosystems. Remote sensing is currently the main method of global …
Leveraging multimodal social media data for rapid disaster damage assessment
During disaster response and recovery stages, stakeholders including governmental
agencies collect disaster's impact information to inform disaster relief, resource allocation …
agencies collect disaster's impact information to inform disaster relief, resource allocation …
On the absurdity of rapid urbanization: Spatio-temporal analysis of land-use changes in Morogoro, Tanzania
This study questions the frequent overemphasis on population growth aspects of African
urbanization with little consideration of the spatial extent by analyzing the influence of …
urbanization with little consideration of the spatial extent by analyzing the influence of …
Near-real-time flood mapping using off-the-shelf models with SAR imagery and deep learning
Timely detection of flooding is paramount for saving lives as well as evaluating levels of
damage. Floods generally occur under specific weather conditions, such as excessive …
damage. Floods generally occur under specific weather conditions, such as excessive …
ATLANTIS: A benchmark for semantic segmentation of waterbody images
Vision-based semantic segmentation of waterbodies and nearby related objects provides
important information for managing water resources and handling flooding emergency …
important information for managing water resources and handling flooding emergency …