Big Earth data: disruptive changes in Earth observation data management and analysis?
Turning Earth observation (EO) data consistently and systematically into valuable global
information layers is an ongoing challenge for the EO community. Recently, the term 'big …
information layers is an ongoing challenge for the EO community. Recently, the term 'big …
Road extraction methods in high-resolution remote sensing images: A comprehensive review
R Lian, W Wang, N Mustafa… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Road extraction from high-resolution remote sensing images is a challenging but hot
research topic in the past decades. A large number of methods are invented to deal with this …
research topic in the past decades. A large number of methods are invented to deal with this …
Image retrieval from remote sensing big data: A survey
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine
Globally, flooding is the leading cause of natural disaster related deaths, especially in
Bangladesh where approximately one third of national area gets flooded annually by …
Bangladesh where approximately one third of national area gets flooded annually by …
Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions
Data are essential in all areas of geophysics. They are used to better understand and
manage systems, either directly or via models. Given the complexity and spatiotemporal …
manage systems, either directly or via models. Given the complexity and spatiotemporal …
[HTML][HTML] The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk …
E Wolff - Progress in Disaster Science, 2021 - Elsevier
Floods are expected to become more intense and increasingly frequent over the coming
years. Over the last few decades, scholars, policy makers and risk managers have been …
years. Over the last few decades, scholars, policy makers and risk managers have been …
Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Urban climate and resiliency: A synthesis report of state of the art and future research directions
Abstract The Urban Climate and Resiliency-Science Working Group (ie, The WG) was
convened in the summer of 2018 to explore the scientific grand challenges related to climate …
convened in the summer of 2018 to explore the scientific grand challenges related to climate …
Social media in operations and supply chain management: State-of-the-Art and research directions
Recently, industrial and academic communities in the operations and supply chain
management (OSCM) field are paying increasing attention to social media. However, the …
management (OSCM) field are paying increasing attention to social media. However, the …
Flood disaster monitoring and emergency assessment based on multi-source remote sensing observations
T Lei, J Wang, X Li, W Wang, C Shao, B Liu - Water, 2022 - mdpi.com
Flood disasters are one of the most serious meteorological disasters in China. With the rapid
development of information technology, individual monitoring tools could not meet the need …
development of information technology, individual monitoring tools could not meet the need …