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2011 - Cooperative Institute for Research in Environmental Sciences ...

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Figure 1: Global image of the Radiance Calibrated Nighttime Lights<br />

from 2010 DMSP F16<br />

Figure 2: Ho Chi M<strong>in</strong> City, Vietnam. The first image shows the Operational<br />

Stable Lights data where the urban core is saturated. The second<br />

image is the Radiance Calibrated data where the urban core is resolved.<br />

The radiance of the brightest pixels is measured to be a factor of about<br />

12 larger than the saturated values.<br />

Advanced Network (APAN) conference proceed<strong>in</strong>gs. In<br />

order to create this product, a generalized method was created<br />

<strong>for</strong> process<strong>in</strong>g other years.<br />

Product: Zisk<strong>in</strong>, D, KE Baugh, FC Hsu, T Ghosh, and CD<br />

Elvidge (2010), Methods used <strong>for</strong> the 2006 radiance lights,<br />

Asia-Pacific Advanced Network conference.<br />

Milestone 2: Develop a methodology <strong>for</strong> determ<strong>in</strong><strong>in</strong>g ga<strong>in</strong><br />

sett<strong>in</strong>gs on DMSP OLS operational data <strong>for</strong> satellites F16<br />

and F18.<br />

Due to the fact that the ga<strong>in</strong> sett<strong>in</strong>gs are not stored <strong>in</strong><br />

the DMSP Operational L<strong>in</strong>escan System (OLS), smooth<br />

resolution visible band data has been a barrier toward <strong>in</strong>tercomparability<br />

of the OLS data. This work was the first step<br />

toward the goal of OLS data calibration (see Milestone 3).<br />

Figure 3: Comparison of the recorded OLS visible band ga<strong>in</strong> values and<br />

the software-reconstructed values <strong>for</strong> the last sample <strong>in</strong> each scanl<strong>in</strong>e of<br />

an F16 f<strong>in</strong>e-resolution orbital segment.<br />

126 CIRES Annual Report <strong>2011</strong><br />

Software was created to reconstruct the DMSP-OLS ga<strong>in</strong><br />

sett<strong>in</strong>gs <strong>for</strong> any orbital swath of data from satellites F16 and<br />

F18. The software is a recreation of the onboard along-scan<br />

ga<strong>in</strong> control algorithms that the OLS uses to set the visible<br />

band ga<strong>in</strong>. Onboard constants to the ga<strong>in</strong> algorithm are<br />

modified weekly via Payload Activation Messages (PAMs).<br />

The PAMs were obta<strong>in</strong>ed and converted <strong>in</strong>to a temporal<br />

database of ga<strong>in</strong> constants that is accessed by the ga<strong>in</strong> reconstruction<br />

software. The OLS f<strong>in</strong>e-resolution datastream<br />

records the ga<strong>in</strong> <strong>for</strong> the last sample <strong>in</strong> each scanl<strong>in</strong>e. This<br />

sample of recorded ga<strong>in</strong>s was used <strong>for</strong> software validation.<br />

Milestone 3: Development of a robust and effective calibration<br />

method <strong>for</strong> the DMSP OLS time series based on<br />

reflected moonlight from desert surfaces <strong>for</strong> satellites F16<br />

and F18.<br />

Moonlight reflected off of desert surfaces was measured<br />

with the DMSP F16 and F18 satellites. The satellite ga<strong>in</strong><br />

sett<strong>in</strong>gs were estimated <strong>for</strong> each overpass (see Milestone<br />

2). This allowed us to determ<strong>in</strong>e the <strong>in</strong>strument’s response<br />

and calculate an ‘uncalibrated radiance.’ We also modeled<br />

the expected radiance us<strong>in</strong>g an advanced radiative<br />

transfer model (MODTRAN). The comparison between<br />

the uncalibrated radiance from the <strong>in</strong>strument and the<br />

modeled radiance has yielded a compell<strong>in</strong>g relationship.<br />

Work along this promis<strong>in</strong>g l<strong>in</strong>e will cont<strong>in</strong>ue with the goal<br />

of develop<strong>in</strong>g an absolute calibration of the OLS.<br />

Figure 4: The Uyuni<br />

Salt Flats <strong>in</strong> Bolivia<br />

<strong>in</strong> full moonlight.<br />

Figure 5: The radiance that the DMSP F18 satellite observed is simulated<br />

by the MODTRAN radiative transfer model.

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