Earth scientists have encountered two major obstacles in their attempts to use remotely sensed imagery to analyze the earth's land cover dynamics. First, the volume of data involved is very large and second, significant preprocessing is needed before the data can be used. This is particularly so for studies that analyze global trends using data sets that cover multiple years. In this paper, we present the design of an earth science database as well as our early experiences with it. The primary design goal of this database is to facilitate efficient access to and preprocessing of large volumes of satellite data. Our initial design assumed that the main bottleneck in the system would be retrieving data from the disks. However, experiment...
Global ecosystem observations are important for Earth-system studies. The National Research Council'...
There are two major challenges for a high-performance remote-sensing database. First, it must provid...
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and ...
discipline that seeks a global-scale understanding of the components, interactions, and evolution of...
Earth system science is a relatively recent sci-entific discipline that seeks a global-scale under-s...
In the context of a complete increase on Remote Sensing data amount, with improvement of resolution...
Current and next decade global Earth observing, other remote sensing and related climate analysis da...
Earth observation (EO) has witnessed a growing interest in research and industry, as it covers a wid...
Analyzing massive remotely-sensed datasets presents formidable challenges. The volume of satellite i...
. We present the design of and performance results for an image database system for remotely sensed ...
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources...
Big Data Analytics is an emerging field since massive storage and computing capabilities have been m...
Although the volume of the remote sensing data managed by the Earth Observing System Data and Inform...
Abstract—Several space agencies such as NASA are continu-ously collecting datasets of earth dynamics...
Big Data Analytics is an emerging field since massive storage and computing capabilities have been m...
Global ecosystem observations are important for Earth-system studies. The National Research Council'...
There are two major challenges for a high-performance remote-sensing database. First, it must provid...
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and ...
discipline that seeks a global-scale understanding of the components, interactions, and evolution of...
Earth system science is a relatively recent sci-entific discipline that seeks a global-scale under-s...
In the context of a complete increase on Remote Sensing data amount, with improvement of resolution...
Current and next decade global Earth observing, other remote sensing and related climate analysis da...
Earth observation (EO) has witnessed a growing interest in research and industry, as it covers a wid...
Analyzing massive remotely-sensed datasets presents formidable challenges. The volume of satellite i...
. We present the design of and performance results for an image database system for remotely sensed ...
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources...
Big Data Analytics is an emerging field since massive storage and computing capabilities have been m...
Although the volume of the remote sensing data managed by the Earth Observing System Data and Inform...
Abstract—Several space agencies such as NASA are continu-ously collecting datasets of earth dynamics...
Big Data Analytics is an emerging field since massive storage and computing capabilities have been m...
Global ecosystem observations are important for Earth-system studies. The National Research Council'...
There are two major challenges for a high-performance remote-sensing database. First, it must provid...
Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and ...