VIIRS Global DNB Product Status Chris Elvidge Earth Observation Group NOAA National Geophysical Data Center Kim Baugh, Feng-Chi Hsu, Mikhail Zhizhin CIRES,

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Presentation transcript:

VIIRS Global DNB Product Status Chris Elvidge Earth Observation Group NOAA National Geophysical Data Center Kim Baugh, Feng-Chi Hsu, Mikhail Zhizhin CIRES, University of Colorado October 22,

Enabling software developed at NGDC Reprojection toolkit DNB terrain correction Stray light filter M10 combustion source detection system M15 cloud detection relative to NCEP surface temperature grids Modification of DMSP nighttime lights compositing software 2

Stray Light Filter Raw Subtracted component Filtered

The First VIIRS Global Cloud-Free Composite April 18-26, Low moon nights Output is a 15 arc second grid (86401 x 33601)

The First VIIRS Global Cloud-Free Composite April 18-26, 2012 Washington, DC VIIRS DMSP-OLS

The First VIIRS Global Cloud-Free Composite April 18-26, 2012 Denver, Colorado VIIRS DMSP-OLS

The First VIIRS Global Cloud-Free Composite April 18-26, 2012 Delhi, India VIIRS DMSP-OLS

Issues Residual Stray Light Northward Extent 65 Degrees 1.Difficulty setting noise threshold due to residual stray light 2.Current hardware lacks memory to geolocate aggregates north of 65 degrees 3.Slight westward bias in DNB geolocation relative to M10 gas flare detections 4.Low numbers of cloud-free coverages in numerous locations 5.Fuzzy lights can be found in some areas

Geolocation Bias 9 Basra Gas Flares, Iraq Red = M10 composite Cyan = DNB composite The DNB geolocation is shifted slightly to the west.

Plan to Address Issues 1.Stray Light: Make separate composites for stray light and non-stray light data. Stray light is present for data observed with ground solar zenith angles in the range of 90 to 118 degrees. Develop separate noise thresholds, remove background noise, recombine. 2.Extending North: Move processing to computer with more memory. This is happening this week! 3.Geolocation Bias: Measure the bias between DNB and M10 combustion source detections in the global cloud-free composites. Introduce bias correction as a variable in the reprojection toolkit. Reprocess! 4.Expanding the number of cloud-free coverages: Add data from additional months. 5.Fuzzy lights: Develop fuzzy light detector. Screen out fuzzy lights in the compositing process.

Composite with no stray light contaminated data

Composite with stray light contaminated data Composite with stray light filtered data

Effect of Stray Light Filtering

Use of April cloud-free composite as a reference for the detection of power outages on November 1, 2012