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Method 1: 1The correspondence between the optical thickness of the atmosphere and the atmospheric parameters (0 (equivalent reflectance of the path radiation term of the atmosphere), S (hemispheric reflectance of the lower boundary of the atmosphere), t(s)t(v) (upward and downward transmittance of the atmosphere)) is calculated by SPSS, and then the multi-band data is used to decouple the ground and atmosphere.
Atmospheric optical thickness is obtained. 2.Build a query table and construct aerosols using the 6S model.
Optical thickness lookup table with input parameters as: solar zenith angle, aerosol mode, grade of aerosol optical thickness at 550 nm wavelength, bands calculated by the lookup table (first and third bands), altitude. 3.
Data preprocessing (1) Resampling to speed up the operation and improve the signal-to-noise ratio.
2) Radiometric calibration, which converts the DN value of the image into apparent reflectance. 4.Inversion of the results Based on the apparent reflectance obtained, the NDVI (used to identify dark targets) is calculated, using the obtained solar altitude angle.
The lookup table is interpolated to obtain the atmospheric parameters for different atmospheric optical thicknesses of the bands to be calculated: 0, s, t( s)t( v). 5.
Image Smoothing and Mapping Output After obtaining the atmospheric optical thickness, the resulting image is smoothed to achieve the purpose of interpolating the monitoring values of some non-dark target points and suppressing the anomaly points, and the distance-weighted average of 9 9 pixels is used.
filtering methods are carried out; Import the results into ArcMap to overlay vector graphics.
Grading and adding legends to make thematic maps.
Method 2: 1Wake up geographic and emissivity corrections to satellite images to invert aerosol optical thickness 2
The modtran model was then used to simulate the generation of look-up tables (aerosol optical thickness) and (surface reflectivity).Then, it is determined whether the reflectance LOBS of the surface pixels observed by the satellite is equal to the total atmospheric radiation ltotal simulated by Modtran. 4.
If not, change it, and then use modtran to recalculate the ltotal to determine whether it is equal. 5.If equal, the aerosol optical thickness distribution map is calculated from the inverted surface reflectance map of and .
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I want to ask the subject, has the problem been solved?
I'm also running into this issue now, looking at the literature that uses 6sv to build a lookup table. But I don't know how to build a lookup table? What is 6SV?
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It is built with 6S or Modtran radiative transfer models.
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The IDL is used to invoke the 6S radiative transmission model to be automatically generated.
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Hello, are you doing the reverse now? I also need to generate a lookup table now, I don't know how.
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If you want to do it, I suggest that it is better to write ** implementation yourself.
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It is different, the local condition should be atmospheric conditions, which are divided into five types in 6s: subarctic winter summer, mid-latitude summer, winter and tropical mode, and aerosol mode: continental (rural), oceanic, desert, etc.
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On HDF, the Modis HDF product file format conversion software converts the AOD product bands in the Mod04 HDF file into TIF and other format files, or directly uses HDF View or HDF Explorer software to view.
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If you want to do it, I suggest that it is better to write ** implementation yourself.
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Hello, I recently filmed and prepared to do an aerosol counterattack performance, specifically using the 6S model. I refer to this blog post for the detailed process.
I'm sure you've already solved this problem, and you're experienced, can you know about the little brother.
The questions that the younger brother is currently asking for are:
1 How to build a lookup table in the 6S model.
2 What pretreatment needs to be done for the impact.
3. How to use other data to simulate the desired parameters when the data is insufficient.
It may not be too clear, I hope you can teach me.
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