[HTML][HTML] 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 …
Opening up smart cities: citizen-centric challenges and opportunities from GIScience
The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency
of the city's operations and the quality of life of citizens. At the heart of this vision is the …
of the city's operations and the quality of life of citizens. At the heart of this vision is the …
A multi-level semantic scene interpretation strategy for change interpretation in remote sensing imagery
F Ghazouani, IR Farah… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Remotely sensed images represent an important source of information for monitoring land
changes that may occur. There is, therefore, a need to analyze and interpret such …
changes that may occur. There is, therefore, a need to analyze and interpret such …
Semantic and syntactic interoperability in online processing of big Earth observation data
The challenge of enabling syntactic and semantic interoperability for comprehensive and
reproducible online processing of big Earth observation (EO) data is still unsolved …
reproducible online processing of big Earth observation (EO) data is still unsolved …
A survey of modelling trends in temporal GIS
The main achievements of spatio-temporal modelling in the field of Geographic Information
Science that spans the past three decades are surveyed. This article offers an overview of:(i) …
Science that spans the past three decades are surveyed. This article offers an overview of:(i) …
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 …
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 paper consists of two parts. In the previous Part 1, existing EO optical …
Intelligence (AGI), this paper consists of two parts. In the previous Part 1, existing EO optical …
A spatiotemporal calculus for reasoning about land-use trajectories
Earth observation images are a powerful source of data about changes in our planet. Given
the magnitude of global environmental changes taking place, it is important that Earth …
the magnitude of global environmental changes taking place, it is important that Earth …
Architecture and prototypical implementation of a semantic querying system for big Earth observation image bases
D Tiede, A Baraldi, M Sudmanns… - European journal of …, 2017 - Taylor & Francis
Spatiotemporal analytics of multi-source Earth observation (EO) big data is a pre-condition
for semantic content-based image retrieval (SCBIR). As a proof of concept, an innovative EO …
for semantic content-based image retrieval (SCBIR). As a proof of concept, an innovative EO …
Fields as a generic data type for big spatial data
This paper defines the Field data type for big spatial data. Most big spatial data sets provide
information about properties of reality in continuous way, which leads to their representation …
information about properties of reality in continuous way, which leads to their representation …