Evolution of NASA’s Earth Observing System and Development of the Moderate-Resolution Imaging Spectroradiometer and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Instruments

2010 ◽  
pp. 3-34 ◽  
Author(s):  
Vincent Salomonson ◽  
Michael J. Abrams ◽  
Anne Kahle ◽  
William Barnes ◽  
Xiaoxiong Xiong ◽  
...  
Keyword(s):  
Thermal Emission ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

scholarly journals Climatology of the Combined ASTER MODIS Emissivity over Land (CAMEL) Version 2

2020 ◽  
Vol 13 (1) ◽  
pp. 111
Author(s):  
Michelle Loveless ◽  
E. Eva Borbas ◽  
Robert Knuteson ◽  
Kerry Cawse-Nicholson ◽  
Glynn Hulley ◽  
...  
Keyword(s):  
Land Surface ◽  
Thermal Emission ◽  
Atmospheric Sounding ◽  
Stable Representation ◽  
Improved Stability ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Processing Errors

The Combined ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) MODIS (Moderate Resolution Imaging Spectroradiometer) Emissivity over Land (CAMEL) Version 2 (V002) has been available since March 2019 from the NASA LP DAAC (Land Processes Distributed Active Archive Center) and provides global, monthly infrared land surface emissivity and uncertainty at 0.05 degrees (~5 km) resolution. A climatology of the CAMEL V002 product is now available at the same spatial, temporal, and spectral resolution, covering the CAMEL record from 2000 to 2016. Characterization of the climatology over case sites and IGBP (International Geosphere-Biosphere Programme) land cover categories shows the climatology is a stable representation of the monthly CAMEL emissivity. Time series of the monthly CAMEL V002 product show realistic seasonal changes but also reveal subtle artifacts known to be from calibration and processing errors in the MODIS MxD11 emissivity. The use of the CAMEL V002 climatology mitigates many of these time dependent errors by providing an emissivity estimate which represents the complete 16-year record. The CAMEL V002 climatology’s integration into RTTOV (Radiative Transfer for TOVS) v12 is demonstrated through the simulation of IASI (Infrared Atmospheric Sounding Interferometer) radiances. Improved stability in CAMEL Version 3 is expected in the future with the incorporation of the new MxD21 and VIIRS VNP21 emissivity products in MODIS Collection 6.1.

scholarly journals NASA Cold Land Processes Experiment (CLPX 2002/03): Spaceborne Remote Sensing

2008 ◽  
Vol 9 (6) ◽  
pp. 1427-1433 ◽  
Author(s):  
Robert E. Davis ◽  
Thomas H. Painter ◽  
Rick Forster ◽  
Don Cline ◽  
Richard Armstrong ◽  
...  
Keyword(s):  
Thematic Mapper ◽  
Optical Data ◽  
Imaging Spectrometer ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Microwave Imager ◽  
Seawinds Scatterometer ◽  
Microwave Data

Abstract This paper describes satellite data collected as part of the 2002/03 Cold Land Processes Experiment (CLPX). These data include multispectral and hyperspectral optical imaging, and passive and active microwave observations of the test areas. The CLPX multispectral optical data include the Advanced Very High Resolution Radiometer (AVHRR), the Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Multi-angle Imaging Spectroradiometer (MISR). The spaceborne hyperspectral optical data consist of measurements acquired with the NASA Earth Observing-1 (EO-1) Hyperion imaging spectrometer. The passive microwave data include observations from the Special Sensor Microwave Imager (SSM/I) and the Advanced Microwave Scanning Radiometer (AMSR) for Earth Observing System (EOS; AMSR-E). Observations from the Radarsat synthetic aperture radar and the SeaWinds scatterometer flown on QuikSCAT make up the active microwave data.

scholarly journals Global 15-Meter Mosaic Derived from Simulated True-Color ASTER Imagery

2019 ◽  
Vol 11 (4) ◽  
pp. 441 ◽  
Author(s):  
Louis Gonzalez ◽  
Valérie Vallet ◽  
Hirokazu Yamamoto
Keyword(s):  
Thermal Emission ◽  
Atmospheric Conditions ◽  
Image Libraries ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Fine Structures ◽  
Level 1 ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
True Color ◽  
Blue Reflectance

This work proposes a new methodology to build an Earth-wide mosaic using high-spatial resolution ( 15 m ) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images in pseudo-true color. As ASTER originally misses a blue visible band, we have designed a cloud of artificial neural networks to estimate the ASTER blue reflectance from Level-1 data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on the same satellite Terra platform. Next, the granules are radiometrically harmonized with a novel color-balancing method and seamlessly blended into a mosaic. We demonstrate that the proposed algorithms are robust enough to process several thousands of scenes acquired under very different temporal, spatial, and atmospheric conditions. Furthermore, the created mosaic fully preserves the ASTER fine structures across the various building steps. The proposed methodology and protocol are modular so that they can easily be adapted to similar sensors with enormous image libraries.

scholarly journals Using RST approach and EOS-MODIS radiances for monitoring seismically active regions: a study on the 6 April 2009 Abruzzo earthquake

2010 ◽  
Vol 10 (2) ◽  
pp. 239-249 ◽  
Author(s):  
N. Pergola ◽  
C. Aliano ◽  
I. Coviello ◽  
C. Filizzola ◽  
N. Genzano ◽  
...  
Keyword(s):  
Active Regions ◽  
Environmental Risks ◽  
Infrared Observations ◽  
Thermal Anomalies ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Eos Modis ◽  
First Time

Abstract. In the last few years, Robust Satellite data analysis Techniques (RST) have been proposed and successfully applied for monitoring major natural and environmental risks. Among the various fields of application, RST analysis has been used as a suitable tool for satellite TIR surveys in seismically active regions, devoted to detect and monitor thermal anomalies possibly related to earthquake occurrence. In this work, RST has been applied, for the first time, to thermal infrared observations collected by MODIS (Moderate Resolution Imaging Spectroradiometer) – the sensor onboard EOS (Earth Observing System) satellites – in the case of Abruzzo (Italy) earthquake occurred on 6 April 2009 (ML~5.8). First achievements, shown in this work, seem to confirm the sensitivity of the proposed approach in detecting perturbations of the Earth�s emission thermal field few days before the event. The reliability of such results, based on the analysis of 10 years of MODIS observations, seems to be supported by the results achieved analyzing the same area in similar observation conditions but in seismically unperturbed periods (no earthquakes with ML≥5) that will be also presented.

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