From open data to open science

R Ramachandran, K Bugbee… - Earth and Space …, 2021 - Wiley Online Library
The open science movement continues to gain momentum, attention, and discussion.
However, there are a number of different interpretations, viewpoints, and perspectives as to …

Sentinel-1 InSAR coherence for land cover map**: A comparison of multiple feature-based classifiers

AW Jacob, F Vicente-Guijalba… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This article investigates and demonstrates the suitability of the Sentinel-1 interferometric
coherence for land cover and vegetation map**. In addition, this study analyzes the …

Datacubes: Towards space/time analysis-ready data

P Baumann, D Misev, V Merticariu, BP Huu - Service-Oriented Map** …, 2019 - Springer
Datacubes form an emerging paradigm in the quest for providing EO data ready for spatial
and temporal analysis; this concept, which generalizes the concept of seamless maps from 2 …

Chronosdb: distributed, file based, geospatial array dbms

RAR Zalipynis - Proceedings of the VLDB Endowment, 2018 - dl.acm.org
An array DBMS streamlines large Nd array management. A large portion of such arrays
originates from the geospatial domain. The arrays often natively come as raster files while …

[HTML][HTML] Multidimensional visualization and processing of big open urban geospatial data on the web

CE Kilsedar, MA Brovelli - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
The focus of this research is addressing a subset of the geovisualization (ie, geographic
visualization) challenges identified in the literature, namely multidimensional vector and …

Interactive data exploration of distributed raw files: A systematic map** study

A Alvarez-Ayllon, M Palomo-Duarte, JM Dodero - IEEE Access, 2018 - ieeexplore.ieee.org
When exploring big amounts of data without a clear target, providing an interactive
experience becomes really difficult, since this tentative inspection usually defeats any early …

On scalable data mining techniques for earth science

M Götz, M Richerzhagen, C Bodenstein… - Procedia computer …, 2015 - Elsevier
One of the observations made in earth data science is the massive increase of data volume
(eg, higher resolution measurements) and dimensionality (eg hyper-spectral bands) …

[HTML][HTML] Exploratory method for spatio-temporal feature extraction and clustering: An integrated multi-scale framework

W Luo, ZY Yu, SJ **ao, AX Zhu, LW Yuan - Isprs International Journal of …, 2015 - mdpi.com
This paper presents an integrated framework for exploratory multi-scale spatio-temporal
feature extraction and clustering of spatio-temporal data. The framework combines the multi …

ChronosDB in action: Manage, process, and visualize big geospatial arrays in the Cloud

RA Rodriges Zalipynis - … of the 2019 International Conference on …, 2019 - dl.acm.org
Immense volumes of geospatial arrays are generated daily. Examples of such include
satellite imagery, numerical simulation, and derivative data avalanche. Array DBMS are one …

Visualcloud demonstration: A dbms for virtual reality

B Haynes, A Minyaylov, M Balazinska, L Ceze… - Proceedings of the …, 2017 - dl.acm.org
We demonstrate VisualCloud, a database management system designed to efficiently
ingest, store, and deliver virtual reality (VR) content at scale. VisualCloud targets both live …