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Hi, I am trying to download Sentinel5P data but I noticed the values for layers AER_AI_354_388 and AER_AI_340_380 are outside the normal range specified here. It is reported that the minimum value for these layers is -1 but I often encounter values lower than this threshold. I am downloading the data using Python SDK in this way


request = SentinelHubRequest(

                evalscript=evalscript,

                input_data=[

                    SentinelHubRequest.input_data(

                        data_collection=DataCollection.SENTINEL5P,

                        time_interval=(ts, ts),

                        mosaicking_order=MosaickingOrder.MOST_RECENT,

                        upsampling="BICUBIC"

                    )

                ],

                responses=[SentinelHubRequest.output_response("default", MimeType.TIFF)],

                bbox=city_bbox,

                size=city_size,

                config=config,

            )

            img = request.get_data()[0]

where evalscript is the following


function setup() {

    return {

        input: [{

            bands: ["AER_AI_354_388", "dataMask"],

        }],

        output: {

            bands: 2,

            sampleType: "FLOAT32"

        }

    };

}



function evaluatePixel(sample) {

    return [

        sample.AER_AI_354_388,

        sample.dataMask

    ]

}

the same for AER_AI_340_380 . I very rarely noticed some negative values also for HCHO layer which uses the exact same script.

Am I doing something wrong ?

Thanks in advance for the help

Hi @links ,


Your script looks fine to me. As mentioned in the documentation, the Typical Range indicates what values are common for a given band and unit, however outliers can be expected.


I randomly downloaded an original file from Copernicus and the histogram did indicate that there’re values lower than -1 (Fig 1).


Screenshot 2023-10-18 at 11.28.39


Fig 1

Hi @chung.horng, thanks for your reply.

I understand that Typical Range indicates common values but negative values do not make so much sense to me since they should be concentration values in mol/m^2. I would then consider those values as wrong acquisition and discard them, what do you think?


In addition, I noticed that the tile downloaded with my script and the values reported in EO Browser are different. More in detail, considering the metropolitan area of Milan on 2018-04-30 for some regions my downloaded tile has values lower than -1 while EO Browser shows values around 0.5 in the same area.

For this reason, I am still forced to think there is something wrong with downloaded data, or the alternative could be that the EO browser does some post-processing before visualisation. What do you think about this?


Thanks again for your support

Hi @links ,


Could you provide your aoi and the timestamp which shows the discrepancy?

Hi @chung.horng,

my AOI is ( 9.0408867, 45.3867381, 9.2781103, 45.5358482 ).


Regarding AER_AI_340_380 and AER_AI_354_388 layers the timestamp in which I observed the discrepancy between my tile and EO Browser is 2018-04-30T10-27-52.


For what concerns HCHO layers I have to check the timestamp in which I obtained negative values but I can easily discard them as negative concentrations are for sure due to a noisy acquisition.


Thanks for your support

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