An integrated data platform for retrieval, analytics, and visualization of MODIS & VIIRS land products
Abstract
The Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors have been producing valuable Earth science data for more than a decade. The sheer scale of the data products generated by these sensors, both in terms of spatial resolution and temporal frequency, means that the data users have to spend significant time and effort to retrieve and process the data before they can be used. In addition, the complexity of the data products including data quality information, and file format limit the immediate usability of the data products by novice users. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) has developed a suite of integrated and standards-compliant tools and services that offers easy retrieval of these data products (https://modis.ornl.gov/). In addition, by offering various additional capabilities such as data transformation, visualization, aggregation and analytics closer to the data itself, this platform makes Earth Observation data more accessible and useful to a broader group of users, and potentially enables multi-disciplinary and "big data" research. In this paper, we describe the workflow and infrastructure of the data platform and share the lessons learned from its operation and recent development efforts.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMIN33C0871S
- Keywords:
-
- 0399 General or miscellaneous;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 3399 General or miscellaneous;
- ATMOSPHERIC PROCESSESDE: 1899 General or miscellaneous;
- HYDROLOGYDE: 1996 Web Services;
- INFORMATICS