• Publications
  • Influence
TerraLib: An Open Source GIS Library for Large-Scale Environmental and Socio-Economic Applications
TLDR
This chapter describes TerraLib, an open source GIS software library. Expand
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An Algebra for Spatiotemporal Data: From Observations to Events
TLDR
Algebras give formal specifications at a high-level abstraction, independently of programming languages. Expand
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Big earth observation data analytics: matching requirements to system architectures
TLDR
This paper assesses the cost of research-friendliness, in a case where the researcher has developed an algorithm in the R language and wants to use the same code for big data analytics. Expand
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Fields as a Generic Data Type for Big Spatial Data
TLDR
We develop a generic data type for fields that can represent different types of spatiotemporal data, such as trajectories, time series, remote sensing and, climate data. Expand
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TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping
TLDR
We developed TerraBrasilis, a spatial data analytics infrastructure based on extensive data analytics features so that users who lack a necessary understanding of standard spatial interfaces can still carry out research on them. Expand
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Web Services for Big Earth Observation data
TLDR
In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. Expand
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A mobile application for geographical data gathering and validation in fieldwork (invited talk)
TLDR
We describe the architecture of a mobile application for geographical data gathering and validation in fieldwork. Expand
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An Overview of Platforms for Big Earth Observation Data Management and Analysis
TLDR
This paper presents an overview of seven platforms for big Earth observation data management and analysis, based on cloud computing and distributed systems, such as array database systems, MapReduce systems and web services. Expand
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Big data streaming for remote sensing time series analytics using MapReduce
TLDR
We propose a combination of streaming and map-reduce for time series analysis of time series data. Expand
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