Sign in

Remote Sensing Deployable Analysis environmenT

RS-DAT

image credit: Shutterstock

Earth Observation (EO) data has become too large to be downloaded and analyzed on local desktop infrastructures, and even on many local cluster solutions. Although most of the data is freely available, a range of difficulties still hamper achievable benefit, not only for scientists, but also for citizens, industry and society.

In the eScience center we are building expertise in EO research, aiming to position ourselves as a hub of excellence for RS data handling, computing and analytics, while SURF is building the infrastructure and services to allow for innovative research that will result from big Geodata. This project aims to develop and set up an environment for exploration and analysis of Remote Sensing (RS) data.

The environment will provide scientists with tools to access RS data and analyze it, enabling them to use the massive storage and infrastructure offered by SURF. We identified eScience projects that address modern EO questions where access to large RS data is crucial, as is efficient data handling. These projects will serve as use cases that will provide us with insight into the common needs of the EO community and will act as drivers enabling us to create generic tools to address these needs, with specific focus on data access, retrieval and storage, analysis at scale, and ML supported analysis and exploitation.
Each generic tool will be delivered with a dedicated tutorial, a demo, and with a deployment recipe on SURF facilities, to promote and ease the environment's adaptation by the scientific community.

Participating organisations

Netherlands eScience Center
SURF

Team

AL
Annette Langedijk
F(A
Fakhereh (Sarah) Alidoost
eScience Research Engineer
Netherlands eScience Center
Meiert Grootes
Meiert Grootes
Lead RSE
Netherlands eScience Center
Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center
Yifat Dzigan
Yifat Dzigan
Project Lead
Netherlands eScience Center

Related projects

Eratosthenes

Chasing shadows to investigate glacier change worldwide

Updated 2 months ago
Running

Remote sensing of damage feedbacks and ice shelf instability in Antarctica

Using remote sensing to develop damage indicators across all Antarctic ice shelves

Updated 2 months ago
Running

High spatial resolution phenological modelling at continental scales

Understanding phenological variability

Updated 2 months ago
Finished

Related tools

dCacheFS

DC

Python file-system interface for dCache storages.

Updated 2 months ago
1

JupyterDaskOnSLURM

JU

A Dask cluster and a Jupyter server on a SLURM system

Updated 2 months ago
4

STAC2dCache

ST

STAC2dCache is a Python tool to create and manipulate STAC catalogs on a dCache storage system.

Updated 2 months ago
2