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 …
Enabling the big earth observation data via cloud computing and DGGS: Opportunities and challenges
In the era of big data, the explosive growth of Earth observation data and the rapid
advancement in cloud computing technology make the global-oriented spatiotemporal data …
advancement in cloud computing technology make the global-oriented spatiotemporal data …
Satellite image time series analysis for big earth observation data
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …
challenges. Designers need to balance between conflicting factors. Solutions that are …
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 …
Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health monitoring network based on data science approaches
Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our
planet. However, an unprecedented level of anthropogenic influences is reducing the …
planet. However, an unprecedented level of anthropogenic influences is reducing the …
Remote sensing and geospatial technologies in support of a normative land system science: Status and prospects
Highlights•Remote sensing and geospatial technologies are relevant to the engagement of
Land System Science (LSS) with normative (eg research and policy) goals.•Remote sensing …
Land System Science (LSS) with normative (eg research and policy) goals.•Remote sensing …
Chinese cities as digital environmental governance innovators: Evidence from subnational low-Carbon plans
Research examining the rise of digital environmental governance, particularly at the
subnational scale in China, is fairly limited. Critical questions regarding how digital …
subnational scale in China, is fairly limited. Critical questions regarding how digital …
Semantic Earth observation data cubes
There is an increasing amount of free and open Earth observation (EO) data, yet more
information is not necessarily being generated from them at the same rate despite high …
information is not necessarily being generated from them at the same rate despite high …
A new big data approach based on geoecological information-modeling system
CA Varotsos, VF Krapivin - Big Earth Data, 2017 - Taylor & Francis
In this paper, the geoecological information-modeling system (GIMS) is described as
possible improvement of the Big Data approach. The main GIMS function is the use of …
possible improvement of the Big Data approach. The main GIMS function is the use of …
Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but …
A Baraldi, LD Sapia, D Tiede, M Sudmanns… - Big Earth …, 2023 - Taylor & Francis
Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …