Architecture and design of storage and data management for the NASA Earth observing system Data and Information System (EOSDIS)

Kobler, Ben; Berbert, J. H.; Caulk, P.; Hariharan, P. C.

doi:10.1109/mass.1995.528217

Cited by 22 publications

(9 citation statements)

References 4 publications

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“…The inversion procedure is performed after data downlinked from the satellite has been processed to the following data levels (Kobler et al, 1995): Because GHGSat-D does not contain an on-board calibration unit, changes in pixel offset signal and dark current are measured by taking frequent observations over a dark ocean scene. The observation data vector that the optimal estimation procedure is performed on is then the Level 1B data that has been "dark" corrected by the most recent ocean measurements.…”

Section: Data Processingmentioning

confidence: 99%

The GHGSat-D imaging spectrometer

Jervis¹,

McKeever²,

Durak³

et al. 2020

Preprint

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Abstract. The demonstration satellite GHGSat-D or “Claire”, launched on June 21, 2016, is the first in a planned constellation of small satellites designed and operated by GHGSat, Inc. to measure greenhouse gas emissions at the facility scale from space. Its instrument measures methane concentrations by collecting and spectrally decomposing solar backscattered radiation in the shortwave infrared using a compact fixed-cavity Fabry-Perot imaging spectrometer. The effective spatial resolution of 50 × 50 m2 over targeted 12 × 12 km2 scenes is unprecedented for a space-based gas sensing spectrometer. Here we report on the instrument design, forward model and retrieval procedure, and present several examples of retrieved methane emissions observed over industrial facilities. We discuss the sources of error limiting the performance of GHGSat-D and identify improvements for our follow-on satellites. Claire's mission has proven that small satellites can be used to identify and quantify methane emissions from industrial facilities, enabling operators to take prompt corrective action.

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Section: Data Processingmentioning

confidence: 99%

The GHGSat-D imaging spectrometer

Jervis¹,

McKeever²,

Durak³

et al. 2020

Preprint

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“…The ORNL DAAC for biogeochemical dynamics is one of the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS) data centers managed by the Earth Science Data and Information System (ESDIS) Project [1,2]. The ORNL (1) Accepting the data package from the data providers, ensuring the full integrity of the transferred data files (through checksums, file counts etc.…”

Section: Ornl Daacmentioning

confidence: 99%

A Semi-Automated Workflow Solution for Data Set Publication

Vannan

Beaty

Cook

et al. 2016

IJGI

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Abstract:To address the need for published data, considerable effort has gone into formalizing the process of data publication. From funding agencies to publishers, data publication has rapidly become a requirement. Digital Object Identifiers (DOI) and data citations have enhanced the integration and availability of data. The challenge facing data publishers now is to deal with the increased number of publishable data products and most importantly the difficulties of publishing diverse data products into an online archive. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), a NASA-funded data center, faces these challenges as it deals with data products created by individual investigators. This paper summarizes the challenges of curating data and provides a summary of a workflow solution that ORNL DAAC researcher and technical staffs have created to deal with publication of the diverse data products. The workflow solution presented here is generic and can be applied to data from any scientific domain and data located at any data center.

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“…In the same way, plenty of the scientific community work has been focused in the link of information sources by means of integration and fusion of the different information sources. We can find wide scope initiatives such as, Earth Observing System Data and Information System (EOSDIS) [5] or Global Earth Observation System of Systems (GEOSS) [6]. EOSDIS is NASA's system of systems that offers among others, metadata services and user tools which provide searching, visualizing and downloading functionalities for remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Multilayer Architecture for Heterogeneous Geospatial Data Analytics: Querying and Understanding EO Archives

Alonso

Espinoza-Molina

Datcu

2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The constantly growing process of the Earth Observation (EO) data and their heterogeneity require new systems and tools for effectively querying and understanding the available data archives. In this paper we present a tool for heterogeneous geospatial data analytics. The system implements different web technologies in a multilayer server-client architecture allowing the user to visually analyze satellite images, maps and in-situ information. Specifically, the information managed is composed of EO multispectral and SAR products along with the multitemporal in-situ LUCAS surveys. The integration of these data provides a very useful information during the EO scene interpretation process. The system also offers interactive tools for the detection of optimal datasets for EO multitemporal image change detection, providing at the same time ground truth points for both, human and machine analysis. Furthermore, we show by means of visual analytic representations a way to analyze and understand the content and distribution of the EO databases.

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Architecture and design of storage and data management for the NASA Earth observing system Data and Information System (EOSDIS)

Cited by 22 publications

References 4 publications

The GHGSat-D imaging spectrometer

The GHGSat-D imaging spectrometer

A Semi-Automated Workflow Solution for Data Set Publication

Multilayer Architecture for Heterogeneous Geospatial Data Analytics: Querying and Understanding EO Archives

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