A persistent challenge for the Sustainable Development Goals (SDGs) has been a lack of data for indicators to assess progress towards each goal and varying capacities among nations to conduct these assessments. Rapid developments in big data, however, are facilitating a global approach to the SDGs. Tools and data products are emerging that can be extended to and leveraged by nations that do not yet have the capacity to measure SDG indicators. Big Earth Data, a special class of big data, integrates multi-source data within a geographic context, utilizing the principles and methodologies of the established literature on big data science, applied specifically to Earth system science. This paper discusses the research challenges related to Big ...
This paper discusses the importance of research design and indicators’ selection to facilitate the ...
In 2015, the United Nations (UN) put forward 17 Sustainable Development Goals (SDGs) to beachieved b...
This paper discusses the importance of research design and indicators’ selection to facilitate the ...
The digital transformation of our society coupled with the increasingexploitation of natural resourc...
The Chinese Academy of Sciences Big Earth Data Science Engineering Program (CASEarth Program) is a w...
It is more than 4 years since the 2030 agenda for sustainable development was adopted by the United ...
The potential of big data fused with the vision of a digital Earth offers powerful opportunities to ...
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015 was a historic...
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and ...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
This presentation discusses the use of big Earth observation data for national development. It argue...
AbstractMost scientific fields explore the perspectives of digital applications. In the digitalizati...
AbstractMost scientific fields explore the perspectives of digital applications. In the digitalizati...
This presentation discusses the use of big Earth observation data for national development. It argue...
Big Earth Data analysis is a complex task requiring the integration of many skills and technologies....
This paper discusses the importance of research design and indicators’ selection to facilitate the ...
In 2015, the United Nations (UN) put forward 17 Sustainable Development Goals (SDGs) to beachieved b...
This paper discusses the importance of research design and indicators’ selection to facilitate the ...
The digital transformation of our society coupled with the increasingexploitation of natural resourc...
The Chinese Academy of Sciences Big Earth Data Science Engineering Program (CASEarth Program) is a w...
It is more than 4 years since the 2030 agenda for sustainable development was adopted by the United ...
The potential of big data fused with the vision of a digital Earth offers powerful opportunities to ...
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015 was a historic...
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and ...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
This presentation discusses the use of big Earth observation data for national development. It argue...
AbstractMost scientific fields explore the perspectives of digital applications. In the digitalizati...
AbstractMost scientific fields explore the perspectives of digital applications. In the digitalizati...
This presentation discusses the use of big Earth observation data for national development. It argue...
Big Earth Data analysis is a complex task requiring the integration of many skills and technologies....
This paper discusses the importance of research design and indicators’ selection to facilitate the ...
In 2015, the United Nations (UN) put forward 17 Sustainable Development Goals (SDGs) to beachieved b...
This paper discusses the importance of research design and indicators’ selection to facilitate the ...