Skip to main content

Product Quality

What are the differences in cloud screening between the Dark Target and Deep Blue algorithms and why is the screening different?

The cloud screening procedures for the two products use similar principles but different tests due in part to different bands used in the retrieval algorithms and different pixel resolutions used in algorithms. Really 'cloud mask' is not 100% correct as a term, they are more like a 'suitable pixel mask', and both algorithms have different requirements for pixel type (e.g. Dark Target has  a surface brightness criterion).

The use of quality assurance (QA) flags as part of the logic for the merged dark target – deep blue product implies that both DT and DB agree on the quantitative meaning of their QA assignments (e.g., a value of 2 vs. 3). Can you comment?

Dark Target and Deep Blue quality assurance tests and definitions are independent and unrelated, and it is coincidental that they use the same (0-3) scale. Follow individual group recommendations for their products, or better yet, use only the prefiltered scientific data sets (SDSs).

How do you screen for clouds?

The cloud screening in the MODIS dark target aerosol algorithm is a series of internal and external tests, and is different over land and ocean. The details of the cloud masking scheme is described in section A2.2 of the ATBD. The Collection 6 aerosol products contain a new SDS called “Aerosol_Cldmask_Land_Ocean” which characterizes each 500 m input pixels as “clear” or “cloudy”

AOD over cities seems to have some problems. Why is that?

The MODIS Dark Target algorithm uses a set of ratios and relationships between the 0.47, 0.67 and 2.1 µm channels to account for the surface signal.

These relationships begin to break down over the brighter surfaces of urban areas.   Improving the product over cities is an active area of research.  Please contact us if you would like more information.

 

 

Why is the AOD product less accurate in the Western U.S.?

There are several possible reasons why the AOD product is less accurate in the Western U.S.  Some of these reasons include: bright land surfaces, high altitudes and or rapidly changing topography, and potential inaccuracies in the MODIS aerosol models for the Western U.S.

What is the dark target/deep blue merged product?

The merged product is a single SDS (AOD_550_Dark_Target_Deep_Blue_Combined) comprised of only high quality dark target (QA=3 over land, QA > 0 over ocean) and deep blue (QA 2 & 3) data to produce a global 10 Km product. Over ocean this product uses only dark target retrievals. Over land, monthly NDVI maps are used to assign which retrieval will fill the merged SDS. Over bright surfaces (NDVI < 0.2) the deep blue value is selected. Over dark vegetated surfaces (NDVI > 0.3) the dark target value is selected.

What is the difference between dark target and deep blue?

This is a big question and we can only provide very general answers in this FAQ format.

Dark target has separate algorithms for land and ocean.  Deep blue in the MODIS aerosol products is a land retrieval only. All total column aerosol retrieval algorithms must account for and remove the surface reflectance signal to accurately determine the aerosol signal. Dark target and deep blue retrievals have different ways of accounting for the reflectance signal coming from the land surface.