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The Advanced Baseline Imager (ABI) is successfully operating on orbit, aboard the Geostationary Operational Environmental Satellite 16 (GOES-16). When GOES-16 becomes an operational satellite for NOAA later in 2017, it will begin a new era for the United States in the quality and quantity of geostationary weather observations. Not only does ABI provide more than three times the bands, four times the...
Two overlapping efforts help to characterize the Geostationary Lightning Mapper (GLM) performance. The Post Launch Test (PLT) phase validates the predicted pre-launch instrument performance and the Post Launch Product Test (PLPT) phase validates the lightning detection product used in forecast and warning decision-making. This presentation documents the calibration and validation activities for the...
The GOES-R series is four spacecraft with six instruments that comprise the next generation of U.S. geostationary sensors. GOES-R launched on November 19, 2016 and became GOES-16 on November 29, when it reached geostationary orbit. The primary instrument, the earth-viewing imager on the series, is the Advanced Baseline Imager (ABI). The ABI is a significant improvement over the current GOES imager...
Both the Advanced Himawari Imager (AHI) aboard Japanese geostationary weather satellite Himawari-8 and Advanced Baseline Imager (ABI) aboard the American GOES-16 satellite are the primary imaging instruments with multispectral channels and have very similar optical design. The Himawari-8 was launched ∼two years earlier than the GOES-16 ABI. Since the AHI imagery data become available, characterization,...
The launches of the US Advanced Baseline Imager (ABI) on November 19, 2016 and the Japanese Advanced Himawari Imager (AHI) on October 7, 2014 represented a new era of geostationary operational environmental satellite (GOES) imagers. Both ABI and AHI provide many more channels than any other already launched GOES imagers in the world. In this study, we compare the impacts of assimilating all ABI and/or...
This study describes the improved calibration applied for VIIRS SDR reprocessing. At reflective solar bands (RSBs), the earth-view F-factor is adjusted with the lunar observations and changes about 2% in band M2-M4 in past five years. An empirical method is applied to remove the radiance spikes in VIIRS thermal emissive bands (TEBs) during the blackbody Warm-Up-Cool-Down (WUCD). VIIRS DNB calibration...
One of the objectives of CLARREO Pathfinder mission is to demonstrate on-orbit data matching for sensor inter-calibration The CLARREO Pathfinder approach for reference inter-calibration is based on measuring spectral reflectance with high accuracy and establishing an on-orbit reference for operating Earth viewing sensors: CERES and VIIRS on JPSS. The mission goal is to be able to provide CLARREO reference...
To ensure the post-launch performance of the National Oceanic and Atmospheric Administration's (NOAA) next generation geostationary optical Earth observing sensors a post-launch validation field campaign was developed. The GOES-R field campaign was focused to support post-launch validation of the Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM). This effort will discuss an overview...
The Advanced Baseline Imager (ABI) is the primary payload for NOAA's Geostationary Operational Environmental Satellite R-series (GOES-R). The first of this new generation GOES was launched on November 19, 2016, and named GOES-16 when it reached the orbit on November 29, 2016. ABI incorporated numerous advanced technologies to meet the ever-demanding users' requirements. There is great interest in...
The Copernicus Programme, being Europe's Earth Observation and Environment Monitoring Programme led by the European Union, aims to provide, on a sustainable basis, reliable and timely services related to environmental and security issues. The Copernicus Programme uses multiple source data and comprises a service component, a space infrastructure component and an in-situ component. The objective of...
The utilization of a machine learning algorithm-based (i.e., support vector machine [SVM]) model as the observation operator within a one-dimensional ensemble Kalman filter (EnKF) framework for the purpose of improving snow estimates across regional-scales is explored. The multifrequency, multipolarization framework employs an SVM to predict brightness temperature spectral difference (i.e., ΔTb) between...
The spatial and temporal distribution of ROS across the Canadian Arctic Archipelago (CAA) remains poorly understood owing to their sporadic nature in time and space. In this study, we highlight the distribution and evolution of ROS occurrences inventoried since 1984 at 14 Environment and Climate Change Canada (ECCC) weather stations in the CAA. We introduce an adaptation of the detection algorithm...
Reliable information on snow cover across the Northern Hemisphere and Arctic and sub-Arctic regions is needed for climate monitoring, for understanding the Arctic climate system, and for the evaluation of the role of snow cover and its feedback in climate models. In addition to being of significant interest for climatological investigations, reliable information on snow cover is of high value for...
We validate an absorption based radar retrieval algorithm of snow water equivalent (SWE) using X- and Ku-band backscatter with airborne SAR data. The bicontinuous dense media radiative transfer (Bic-DMRT) model is first applied to generate a look-up table of snow properties against backscattering at X- and Ku-bands. In the retrieval algorithm, the background scattering is subtracted from the total...
This paper discusses the evaluation of a state-of-the-art Ka-band (35.7GHz) single-pass interferometric synthetic aperture radar (InSAR) for snow-depth mapping during the NASA SnowEx experiment. The use of InSAR for this application presents a new approach and potential alternate technology to lidar with the advantage of wide-swath operation that is not hampered by cloud cover. We discuss the plans...
A feature tracking techniques for sea ice drift retrieval from a pair of sequential satellite synthetic aperture radar (SAR) images are discussed. The Scale Invariant Feature Transform (SIFT), its alternative called ORB and A-KAZE features are selected for the intercomparison. The experimental results obtained for dual polarized Sentinel-1 C-SAR Extended Wide Swath mode data showed high relevance...
In this paper we investigate interferometric pairs of SAR images acquired by Tandem-X with the monostatic pursuit and the alternative bistatic modes for sea ice segmentation. The individual SAR images are modelled as non-Gaussian, and from the modelled data different features are extracted, stacked together and clustered. The interferometric coherence is regarded as an additional feature and utilized...
In recent years SAR Polarimetry has become a valuable tool in space-borne SAR based sea ice analysis. This work compares the polarimetric backscatter behavior of sea ice in space-borne X-band C-band and L-band Synthetic Aperture Radar (SAR) imagery. Two sets of spatially and temporally near coincident fully polarimetric acquisitions from the TerraSAR-X/TanDEM-X, RADARSAT-2 and ALOS-2 satellites are...
High resolution sea ice drift fields, the location and extend of converging and diverging zones as well as ice ridges are most important parameters for ship navigation in ice infested waters. In this paper, we present the prototype of a new processor which is aimed to derive the surface ice parameters on the basis of pairs of space-borne Synthetic Aperture Radar (SAR) data of the same and of different...
This study inter-compares observed Ku-, X- and C-band microwave backscatter from saline 14 cm, 8 cm, and 4 cm snow covers on smooth first-year sea ice. A surface-borne multi-frequency (Ku-, X- and C-bands) polarimetric microwave scatterometer system is used near-coincident with in situ snow geophysical measurements. The study investigated differences in scatterometer observations for all three frequencies,...
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