Dr. Satya Kalluri Profile

Dr. Satya Kalluri

at NESDIS

SPIE Involvement:

Conference Program Committee | Author

SPIE Journal Paper | 30 September 2020 Open Access

Special Section Guest Editorial: Instrument Calibration and Product Validation of GOES-R

Xiangqian Wu, Changyong Cao, Satya Kalluri, Jaime Daniels

JARS, Vol. 14, Issue 03, 032401, (September 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.032401

KEYWORDS: Calibration, Satellites, Sensors, Imaging systems, Aerospace engineering, Modulation transfer functions, X-rays, X-ray imaging, Ultraviolet radiation, Surveillance

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Proceedings Article | 26 August 2010 Paper

The product generation architecture for the GOES-R ground system

Gerald Dittberner, Satya Kalluri, Allan Weiner, Michael Blanton, Anderson Tarpley

Proceedings Volume 7813, 781305 (2010) https://doi.org/10.1117/12.859902

KEYWORDS: Satellites, Data storage, Computer architecture, Telecommunications, Data processing, Data communications, Remote sensing, Sensors, Calibration, Heart

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The GOES-R Ground System (GS) will produce a much larger set of products with higher data density than previous GOES systems. This requires considerably greater compute and memory resources to achieve the necessary latency and availability for these products. Over time, new algorithms could be added and existing ones removed or updated, but the GOES-R GS cannot go down during this time. To meet these GOES-R GS processing needs, the Harris Corporation will implement a Product Generation (PG) infrastructure that is scalable, extensible, extendable, modular and reliable. The primary parts of the PG infrastructure are the Service Based Architecture (SBA) and the Distributed Data Fabric (DDF). The SBA is the middleware that encapsulates and manages science algorithms that generate products. The SBA is divided into three parts, the Executive, which manages and configures the algorithm as a service, the Dispatcher, which provides data to the algorithm, and the Strategy, which determines when the algorithm can execute with the available data. The SBA is a distributed architecture, with services connected to each other over a compute grid and is highly scalable. This plug-and-play architecture allows algorithms to be added, removed, or updated without affecting any other services or software currently running and producing data. Algorithms require product data from other algorithms, so a scalable and reliable messaging is necessary. The SBA uses the DDF to provide this data communication layer between algorithms. The DDF provides an abstract interface over a distributed and persistent multi-layered storage system (memory based caching above disk-based storage) and an event system that allows algorithm services to know when data is available and to get the data that they need to begin processing when they need it. Together, the SBA and the DDF provide a flexible, high performance architecture that can meet the needs of product processing now and as they grow in the future.

Proceedings Article | 26 August 2010 Paper

An overview of the GOES-R ground segment architecture

Dennis Hansen, John Bristow, Satya Kalluri, Allan Weiner, Gerald Dittberner

Proceedings Volume 7813, 781304 (2010) https://doi.org/10.1117/12.859882

KEYWORDS: Satellites, Space operations, Data backup, Satellite communications, Product distribution, Data acquisition, Aerospace engineering, Image segmentation, Data centers, Remote sensing

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The next generation of NOAA's Geostationary Operational Environmental Satellite system, Series R (GOES-R) provides continuity of the GOES mission and improvement of its remotely-sensed environmental data. The GOES-R system consists of the Space and Ground Segments. The Space Segment consists of spacecraft bus, its remote-sensing instruments, and communications payloads; while the Ground Segment consists of all Earth-based functions, provides satellite operations and instrument product generation and distribution. This paper presents an overview of the GOES-R Ground Segment (GS) architecture as it continues to evolve consistent with the GOES-R Ground Segment Project (GSP) approved requirements documents. The GOES-R Ground Segment operates from three sites. The first is the NOAA Satellite Operations Facility (NSOF) in Suitland, MD which houses the primary Mission Management (MM), and selected Enterprise Management (EM), Product Generation (PG), and Product Distribution (PD) functions. The Wallops Command and Data Acquisition Station (WCDAS), located in Wallops, VA, provides the primary space communications services, EM and MM functions, and selected PG and PD functions. The third site is a geographically diverse remote backup facility (RBU) located at Fairmont, WV. The architecture has been developed to allow integrated operation within a geographically distributed framework. Because of the unique configuration of the Mission Management Element, the Wallops Command and Data Acquisition Site will have the ability to assume control of satellite operations in the event of an emergency - when authorized by the primary NSOF controllers. This concept allows the Enterprise Management element to have available a wide range of capabilities governed by operations policy rather than the need for system upgrades. This concept also provides flexibility for addition and deletion of modules for major functions. The use of Service Based Architecture concepts within the Product Generation element (PG) provides service interaction capabilities for product generation with only a fraction of the necessary overhead.

Proceedings Article | 12 August 2009 Paper

Improved observations of Earth and space weather from GOES-R

S. Kalluri, J. Gurka, R. Race

Proceedings Volume 7456, 74560M (2009) https://doi.org/10.1117/12.828151

KEYWORDS: Satellites, Sensors, Extreme ultraviolet, Space operations, Imaging systems, Environmental sensing, Data modeling, Solar energy, Meteorological satellites, Clouds

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Conference Committee Involvement (1)

Land Surface and Cryosphere Remote Sensing V

2 December 2024 | Kaohsiung, Taiwan

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