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Dive into the research topics where Lawrence Ong is active.

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Featured researches published by Lawrence Ong.


Remote Sensing | 2014

Landsat-8 Operational Land Imager Radiometric Calibration and Stability

Brian L. Markham; Julia A. Barsi; Geir Kvaran; Lawrence Ong; Edward Kaita; Stuart F. Biggar; Jeffrey S. Czapla-Myers; Nischal Mishra; Dennis L. Helder

The Landsat-8 Operational Land Imager (OLI) was radiometrically calibrated prior to launch in terms of spectral radiance, using an integrating sphere source traceable to National Institute of Standards and Technology (NIST) standards of spectral irradiance. It was calibrated on-orbit in terms of reflectance using diffusers characterized prior to launch using NIST traceable standards. The radiance calibration was performed with an uncertainty of ~3%; the reflectance calibration to an uncertainty of ~2%. On-orbit, multiple calibration techniques indicate that the sensor has been stable to better than 0.3% to date, with the exception of the shortest wavelength band, which has degraded about 1.0%. A transfer to orbit experiment conducted using the OLI’s heliostat-illuminated diffuser suggests that some bands increased in sensitivity on transition to orbit by as much as 5%, with an uncertainty of ~2.5%. On-orbit comparisons to other instruments and vicarious calibration techniques show the radiance (without a transfer to orbit adjustment), and reflectance calibrations generally agree with other instruments and ground measurements to within the uncertainties. Calibration coefficients are provided with the data products to convert to either radiance or reflectance units.


Remote Sensing | 2015

Landsat-8 Operational Land Imager (OLI) Radiometric Performance On-Orbit

Ron Morfitt; Julia A. Barsi; Raviv Levy; Brian L. Markham; Esad Micijevic; Lawrence Ong; Pat L. Scaramuzza; Kelly Vanderwerff

Expectations of the Operational Land Imager (OLI) radiometric performance onboard Landsat-8 have been met or exceeded. The calibration activities that occurred prior to launch provided calibration parameters that enabled ground processing to produce imagery that met most requirements when data were transmitted to the ground. Since launch, calibration updates have improved the image quality even more, so that all requirements are met. These updates range from detector gain coefficients to reduce striping and banding to alignment parameters to improve the geometric accuracy. This paper concentrates on the on-orbit radiometric performance of the OLI, excepting the radiometric calibration performance. Topics discussed in this paper include: signal-to-noise ratios that are an order of magnitude higher than previous Landsat missions; radiometric uniformity that shows little residual banding and striping, and continues to improve; a dynamic range that limits saturation to extremely high radiance levels; extremely stable detectors; slight nonlinearity that is corrected in ground processing; detectors that are stable and 100% operable; and few image artifacts.


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2013

The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space

Elizabeth M. Middleton; Stephen G. Ungar; Daniel Mandl; Lawrence Ong; Stuart Frye; Petya K. E. Campbell; D.R. Landis; Joseph Young; Nathan H. Pollack

The Earth Observing One (EO-1) satellite was launched in November 2000 as a technology demonstration mission with an estimated 1-year lifespan. It has now successfully completed 12 years of high spatial resolution imaging operations from low Earth orbit. EO-1s two main instruments, Hyperion and the Advanced Land Imager (ALI), have both served as prototypes for new generation satellite missions. ALI, an innovative multispectral instrument, is the forerunner of the Operational Land Imager (OLI) onboard the Landsat Data Continuity Missions (LDCM) Landsat-8 satellite, recently launched in Feb. 2013. Hyperion, a hyperspectral instrument, serves as the heritage orbital spectrometer for future global platforms, including the proposed NASA Hyperspectral Infrared Imager (HyspIRI) and the forthcoming (in 2017) German satellite, EnMAP. This JSTARS Special Issue is dedicated to EO-1. This paper serves as an introduction to the Hyperion and ALI instruments, their capabilities, and the important contributions this mission has made to the science and technology communities. This paper also provides an overview of the EO-1 mission, including the several operational phases which have characterized its lifetime. It also briefly describes calibration and validation activities, and gives an overview of the spin-off technologies, including disaster monitoring and new Web-based tools which can be adapted for use in future missions.


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2013

Vicarious Calibration of EO-1 Hyperion

Joel McCorkel; Kurtis J. Thome; Lawrence Ong

The Hyperion imaging spectrometer on the Earth Observing-1 satellite is the first high-spatial resolution imaging spectrometer to routinely acquire science-grade data from orbit. Data gathered with this instrument needs to be quantitative and accurate in order to derive meaningful information about ecosystem properties and processes. Also, comprehensive and long-term ecological studies require these data to be comparable over time, between coexisting sensors and between generations of follow-on sensors. One method to assess the radiometric calibration is the reflectance-based approach, a common technique used for several other earth science sensors covering similar spectral regions. This work presents results of radiometric calibration of Hyperion based on the reflectance-based approach of vicarious calibration implemented by University of Arizona during 2001-2005. These results show repeatability to the 2% level and accuracy on the 3-5% level for spectral regions not affected by strong atmospheric absorption. Knowledge of the stability of the Hyperion calibration from moon observations allows for an average absolute calibration based on the reflectance-based results to be determined and applicable for the lifetime of Hyperion.


International Symposium on Optical Science and Technology | 2000

Development and operations of the EO-1 Hyperion Imaging Spectrometer

J. Pearlman; Carol Segal; Lushalan B. Liao; Stephen L. Carman; Mark A. Folkman; William N. L. Browne; Lawrence Ong; Stephen G. Ungar

The Hyperion Imaging Spectrometer is one of three principal instruments aboard the EO-1 spacecraft. Its mission as a technology demonstrator is to evaluate on-orbit issues for imaging spectroscopy and to assess the capabilities of a space- based imaging spectrometer for earth science and earth observation missions. For the latter activity, a science team has been selected, which is complemented by commercial applications teams. This paper will review the design, construction and calibration of the Hyperion instrument. The on-orbit plans and operations will be presented along with updated calibration and characterization measurements.


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2016

Validation of EO-1 Hyperion and Advanced Land Imager Using the Radiometric Calibration Test Site at Railroad Valley, Nevada

Jeffrey S. Czapla-Myers; Lawrence Ong; Kurtis J. Thome; Joel McCorkel

The Earth-Observing One (EO-1) satellite was launched in 2000. Radiometric calibration of Hyperion and the Advanced Land Imager (ALI) has been performed throughout the mission lifetime using various techniques that include ground-based vicarious calibration, pseudo-invariant calibration sites, and also the moon. The EO-1 mission is nearing its useful lifetime, and this work seeks to validate the radiometric calibration of Hyperion and ALI from 2013 until the satellite is decommissioned. Hyperion and ALI have been routinely collecting data at the automated Radiometric Calibration Test Site [RadCaTS/Railroad Valley (RRV)] since launch. In support of this study, the frequency of the acquisitions at RadCaTS has been significantly increased since 2013, which provides an opportunity to analyze the radiometric stability and accuracy during the final stages of the EO-1 mission. The analysis of Hyperion and ALI is performed using a suite of ground instrumentation that measures the atmosphere and surface throughout the day. The final product is an estimate of the top-of-atmosphere (TOA) spectral radiance, which is compared to Hyperion and ALI radiances. The results show that Hyperion agrees with the RadCaTS predictions to within 5% in the visible and near-infrared (VNIR) and to within 10% in the shortwave infrared (SWIR). The 2013-2014 ALI results show agreement to within 6% in the VNIR and 7.5% in the SWIR bands. A cross-comparison between ALI and the Operational Land Imager (OLI) using RadCaTS as a transfer source shows agreement of 3%-6% during the period of 2013-2014.


international geoscience and remote sensing symposium | 2010

Using EO-1 Hyperion images to prototype environmental products for HyspIRI

Elizabeth M. Middleton; Petya K. E. Campbell; Stephen G. Ungar; Lawrence Ong; Qingyuan Zhang; K. Fred Huemmrich; Daniel Mandl; Stuart Frye

In November 2010, the Earth Observing One (EO-1) Satellite Mission will successfully complete a decade of Earth imaging by its two unique instruments, the Hyperion and the Advanced Land Imager (ALI). Both instruments are serving as prototypes for new orbital sensors, and the EO-1 is a heritage platform for the upcoming German mission, EnMAP. We provide an overview of the missions lifetime. We briefly describe calibration & validation activities and overview the technical and scientific accomplishments of this mission. Some examples of the Mission Science Office (MSO) products are provided, as is an example of a image collected for disaster monitoring.


AIAA Infotech@Aerospace Conference | 2009

Towards an Autonomous Space In-situ Marine Sensorweb

Steve Chien; Joshua Doubleday; Daniel Tran; David R. Thompson; Grace Mahoney; Yi Chao; Ramon Abel Castano; James M. Ryan; Raphael M. Kudela; Sherry L. Palacios; David G. Foley; Arjuna Balasuriya; H Schmidt; Oscar Schofield; Matthew Arrott; Michael Meisinger; Daniel Mandl; Stuart Frye; Lawrence Ong; Patrice Cappelaere

We describe ongoing efforts to integrate and coordinate space and marine assets to enable autonomous response to dynamic ocean phenomena such as algal blooms, eddies, and currents. Thus far we have focused on the use of remote sensing assets (e.g. satellites) but future plans include expansions to use a range of in-situ sensors such as gliders, autonomous underwater vehicles, and buoys/moorings.


international geoscience and remote sensing symposium | 2007

EO-1 Mission: Transition from technology demonstration to science path finder

Stephen G. Ungar; Daniel Mandl; Stuart Frye; Lawrence Ong; Joseph Young

The National Aeronautics And Space Administration (NASA), in coordination with the United States Geological Survey (USGS), has extended the highly successful Earth Observing 1 (EO-1) mission through fiscal year 2007 (September 30, 2007). This decision is based in part on lower cost, highly autonomous satellite operations developed by NASA, continued scientific interest in EO-1 image data, and the need for back-up imaging capability in the event Landsat 5 or Landsat 7 fails before the launch of the Landsat Data Continuity Mission (LDCM), currently anticipated for 2012. At present, there are no known obstacles to EO-1 supplying useful data through that time frame. Funding for an additional two years of operation of E-1 is being considered being under NASAs senior review process.


Proceedings of SPIE | 2015

The development of a DIRSIG simulation environment to support instrument trade studies for the SOLARIS sensor

Aaron Gerace; Adam A. Goodenough; Matthew Montanaro; Jie Yang; Joel McCorkel; Lawrence Ong

NASA Goddard’s SOLARIS (Solar, Lunar for Absolute Reflectance Imaging Spectroradiometer) sensor is the calibration demonstration system for CLARREO (Climate Absolute Radiance and Refractivity Observatory), a mission that addresses the need to make highly accurate observations of long-term climate change trends. The SOLARIS instrument will be designed to support a primary objective of CLARREO, which is to advance the accuracy of absolute calibration for space-borne instruments in the reflected solar wavelengths. This work focuses on the development of a simulated environment to facilitate sensor trade studies to support instrument design and build for the SOLARIS sensor. Openly available data are used to generate geometrically and radiometrically realistic synthetic landscapes to serve as input to an image generation model, specifically the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. Recent enhancements to DIRSIG’s sensor model capabilities have made it an attractive option for performing sensor trade studies. This research takes advantage of these enhancements to model key sensor characteristics (e.g., sensor noise, relative spectral response, spectral coverage, etc.) and evaluate their impact on SOLARIS’s stringent 0.3% error budget for absolute calibration. A SOLARIS sensor model is developed directly from measurements provided by NASA Goddard and various synthetic landscapes generated to identify potential calibration sites once the instrument achieves orbit. The results of these experiments are presented and potential sources of error for sensor inter-calibration are identified.

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Daniel Mandl

Goddard Space Flight Center

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Brian L. Markham

Goddard Space Flight Center

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Stephen G. Ungar

Goddard Space Flight Center

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Steve Chien

California Institute of Technology

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Ashley Gerard Davies

California Institute of Technology

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D.R. Landis

Goddard Space Flight Center

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Joel McCorkel

Goddard Space Flight Center

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