Simon J. Hook

Jet Propulsion Laboratory

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Co-Authors

Glynn Hulley

Jet Propulsion Laboratory

115

William R. Johnson

Yale University

Kerry Cawse‐Nicholson

Jet Propulsion Laboratory

Bjorn T. Eng

Jet Propulsion Laboratory

Philipp Schneider

DRK Kliniken Berlin

John D. Lenters

University of Michigan–Ann Arbor

Joshua B. Fisher

Chapman University

Gerardo Rivera

Jet Propulsion Laboratory

Julia A. Barsi

Science Systems and Applications (United States)

Sander Veraverbeke

Tyndall Centre

Cooperative Institutions

Jet Propulsion Laboratory

205

California Institute of Technology

144

Goddard Space Flight Center

128

National Oceanic and Atmospheric Administration

112

National Aeronautics and Space Administration

United States Geological Survey

University of Maryland, College Park

University of Colorado Boulder

NOAA National Environmental Satellite Data and Information Service

University of Wisconsin–Madison

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Interactions between fire weather and biomass burning during Santa Ana events in southern California

AGUFM (2013)

Sander Veraverbeke Scott B. Capps James T. Randerson Simon J. Hook Yufang Jin

Fire ecology

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Citations (0)

Space observations of inland water bodies show rapid surface warming since 1985

Geophysical Research Letters (2010)

Philipp Schneider Simon J. Hook

Surface temperatures were extracted from nighttime thermal infrared imagery of 167 large inland water bodies distributed worldwide beginning in 1985 for the months July through September and January through March. Results indicate that the mean nighttime surface water temperature has been rapidly warming for the period 1985–2009 with an average rate of 0.045 ± 0.011°C yr −1 and rates as high as 0.10 ± 0.01°C yr −1 . Worldwide the data show far greater warming in the mid‐ and high latitudes of the northern hemisphere than in low latitudes and the southern hemisphere. The analysis provides a new independent data source for assessing the impact of climate change throughout the world and indicates that water bodies in some regions warm faster than regional air temperature. The data have not been homogenized into a single unified inland water surface temperature dataset, instead the data from each satellite instrument have been treated separately and cross compared. Future work will focus on developing a single unified dataset which may improve uncertainties from any inter‐satellite biases.

Surface air temperature

High latitude

10.1029/2010gl045059

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Citations (418)

The Prototype HyspIRI Thermal Infrared Radiometer (PHyTIR): A High Speed, Multispectral, Thermal Instrument Development in Support of HyspIRI-TIR

Simon J. Hook

The Prototype HyspIRI Thermal Infrared Radiometer (PHyTIR) is being developed as part of the risk reduction activities associated with the Hyperspectral Infrared Imager (HyspIRI). The HyspIRI mission was recommended by the National Research Council Decadal Survey and includes a visible shortwave infrared (SWIR) pushboom spectrometer and a multispectral whiskbroom thermal infrared (TIR) imager. Data from the HyspIRI mission will be used to address key science questions related to the Solid Earth and Carbon Cycle and Ecosystems focus areas of the NASA Science Mission Directorate. The HyspIRI TIR system will have 60m ground resolution, better than 200mK noise equivalent delta temperature (NEDT), 0.5C absolute temperature resolution with a 5-day repeat from LEO orbit. PHyTIR addresses the technology readiness level (TRL) of certain key subsystems of the TIR imager, primarily the detector assembly and scanning mechanism. PHyTIR will use Mercury Cadmium Telluride (MCT) technology at the focal plane and operate in time delay integration mode. A custom read out integrated circuit (ROIC) will provide the high speed readout hence allowing the high data rates needed for the 5 day repeat. PHyTIR will also demonstrate a newly developed interferometeric metrology system. This system will provide an absolute measurement of the scanning mirror to an order of magnitude better than conventional optical encoders. This will minimize the reliance on ground control points hence minimizing post-processing (e.g. geo-rectification computations).

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Rapid warming of the world’s lakes: Interdecadal variability and long-term trends from 1910-2009 using in situ and remotely sensed data

2014 AGU Fall Meeting (2014)

John D. Lenters Jordan S. Read Shailza Sharma Christopher O’Reilly Stephanie E. Hampton

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A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009

Scientific Data (2015)

Sapna Sharma Derek K. Gray Jordan S. Read Catherine M. O’Reilly Philipp Schneider

Abstract Global environmental change has influenced lake surface temperatures, a key driver of ecosystem structure and function. Recent studies have suggested significant warming of water temperatures in individual lakes across many different regions around the world. However, the spatial and temporal coherence associated with the magnitude of these trends remains unclear. Thus, a global data set of water temperature is required to understand and synthesize global, long-term trends in surface water temperatures of inland bodies of water. We assembled a database of summer lake surface temperatures for 291 lakes collected in situ and/or by satellites for the period 1985–2009. In addition, corresponding climatic drivers (air temperatures, solar radiation, and cloud cover) and geomorphometric characteristics (latitude, longitude, elevation, lake surface area, maximum depth, mean depth, and volume) that influence lake surface temperatures were compiled for each lake. This unique dataset offers an invaluable baseline perspective on global-scale lake thermal conditions as environmental change continues.

Longitude

Elevation (ballistics)

Lake ecosystem

Global Change

10.1038/sdata.2015.8

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Citations (213)

First flight of the Hyperspectral Thermal Emission Spectrometer (HyTES) airborne instrument

Simon J. Hook

Imaging spectrometer

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Land Surface Temperature Product Validation Best Practice Protocol Version 1.0 - October, 2017

Pierre Guillevic Frank Göttsche Jaime Nickeson Glynn Hulley Darren Ghent

The Global Climate Observing System (GCOS) has specified the need to systematically generate andvalidate Land Surface Temperature (LST) products. This document provides recommendations on goodpractices for the validation of LST products. Internationally accepted definitions of LST, emissivity andassociated quantities are provided to ensure the compatibility across products and reference data sets. Asurvey of current validation capabilities indicates that progress is being made in terms of up-scaling and insitu measurement methods, but there is insufficient standardization with respect to performing andreporting statistically robust comparisons.Four LST validation approaches are identified: (1) Ground-based validation, which involvescomparisons with LST obtained from ground-based radiance measurements; (2) Scene-based intercomparisonof current satellite LST products with a heritage LST products; (3) Radiance-based validation,which is based on radiative transfer calculations for known atmospheric profiles and land surface emissivity;(4) Time series comparisons, which are particularly useful for detecting problems that can occur during aninstrument's life, e.g. calibration drift or unrealistic outliers due to undetected clouds. Finally, the need foran open access facility for performing LST product validation as well as accessing reference LST datasets isidentified.

10.5067/doc/ceoswgcv/lpv/lst.001

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Citations (42)

The advanced spaceborne thermal emission and reflectance radiometer (Aster)

International Journal of Imaging Systems and Technology (1991)

Anne B. Kahle F. D. Palluconi Simon J. Hook Vincent J. Realmuto G.W. Bothwell

Abstract The Advanced Spaceborne Thermal Emission Reflectance Radiometer (ASTER) is the only high‐spatial‐resolution multispectral imager scheduled to fly in Earth orbit on the first platform of NASA's Earth Observation System (EOS‐A). The instrument will nave three bands in the visible near infrared with 15‐m spatial resolution, six bands in the short‐wave infrared with 30‐m spatial resolution and five bands in the thermal infrared with 90‐m spatial resolution. There will be an additional band in the near infrared with 15‐m spatial resolution that will provide same‐orbit stereo data when combined with the corresponding nadir viewing band. The ASTER instrument is being built by the Japanese Government based on the scientific requirements of the ASTER science team. This team consists of Japanese and American scientists, who will also be responsible for the development of algorithms for data reduction and analysis. The ASTER will be able to address a variety of science objectives identified by the EOS global change program. ASTER will provide surface temperatures and emissivity estimates, surface reflected radiances and digital elevation models at a spatial scale that will allow detailed process studies for MODIS and other global monitoring instruments at the subpixel level. Existing aircraft instruments can be used to simulate data that will be provided by ASTER. Examples are shown here of surface temperature mapping, surface compositional mapping, and digital elevation models derived from the NASA Thermal Infrared Multispectral Scanner, the Airborne Visible Infrared Imaging Spectrometer, and aerial photography.

Nadir

Radiometry

10.1002/ima.1850030210

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Citations (101)

Landsat-8 TIRS thermal radiometric calibration status

Julia A. Barsi Brian L. Markham Matthew Montanaro Simon J. Hook John R. Schott

The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m² sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m² sr μm (0.30K) and -0.04 W/m² sr μm (-0.29K), for Bands 10 and 11, respectively.

Stray light

Radiometric Calibration

Radiometric dating

Spectral bands

10.1117/12.2276045

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Citations (7)

NASA’s Hyperspectral Infrared Imager (HyspIRI)

Remote sensing and digital image processing (2013)

Michael J. Abrams Simon J. Hook

Imaging spectrometer

10.1007/978-94-007-6639-6_6

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Citations (22)