Question: SWOT pixel cloud data product misclassify cropland as water

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john6444
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Question: SWOT pixel cloud data product misclassify cropland as water

by john6444 » Sun Jan 04, 2026 10:43 pm America/New_York

Hi, all,

Recently I find that SWOT Pixel Cloud Data Product (SWOT_L2_HR_PIXC_D) misclassifies cropland (may be characterized with high soil moisture) as water area, which leads to incorrectly wider river channel width estimation if cropland is contiguous with river channel in this situation (see attached figures).

Specifically, I directly utilize classified results from SWOT pixel cloud data product. Only pixels with with a water fraction above 0.1 and not bright land that were classified as open water, water near land, or dark water ("water_frac" >= 0.1, "bright_land_flag" = 0, "classification" ranges from 3 to 5), which is slightly modified from Simoes‐Sousa et al. (2025)

Does any experience this issue before?

Reference:
Simoes‐Sousa I T, Camargo C M L, Tavora J, et al. The May 2024 flood disaster in southern Brazil: Causes, impacts, and SWOT‐based volume estimation[J]. Geophysical Research Letters, 2025, 52(4): e2024GL112442.
Attachments
google earth image.png
background image is sentinel2 and points are pixels classified as water.png

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hyoklee
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Re: Question: SWOT pixel cloud data product misclassify cropland as water

by hyoklee » Mon Jan 05, 2026 3:50 pm America/New_York

Hi, would you please share the exact .nc file name that corresponds to the image that you shared?
E.g., SWOT_L2_HR_PIXC_042_158_157R_20251128T072513_20251128T072524_PID0_01.nc.

Also, how did you apply water_frac_uncert dataset in your water classification?

john6444
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Re: Question: SWOT pixel cloud data product misclassify cropland as water

by john6444 » Tue Jan 06, 2026 4:02 am America/New_York

Thanks for your response. SWOT pixel cloud data utilized here is "SWOT_L2_HR_PIXC_019_200_086L_20240806T215721_20240806T215732_PGD0_01.nc".

As for "water_frac_uncert", I did not apply it for open water classification because I find "water_frac_uncert" value between open water (river) and cropland is trivial (see attached figure "water_fraction_uncertainty_comparison.png"). Spatial distribution of selected pixel cloud data with respect to open water and cropland is shown in attached figure "river_pixel_cloud_data.png" and "cropland_pixel_cloud_data.png", respectively.
Attachments
cropland_pixel_cloud_data
cropland_pixel_cloud_data
river_pixel_cloud_data
river_pixel_cloud_data
water_fraction_uncertainty_comparison
water_fraction_uncertainty_comparison

hyoklee
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Re: Question: SWOT pixel cloud data product misclassify cropland as water

by hyoklee » Thu Jan 08, 2026 8:53 pm America/New_York

Thank you for providing the exact file name.

Would you please tell me lat/lon index to subset the region?
I tried to plot the data but I could not locate the region that shows the same pattern from the file.

Here are the 2 images that I got - one without uncertainty and another with uncertainty < 1.0.
SWOT_L2_HR_PIXC_019_200_086L_20240806T215721_20240806T215732_PGD0_01.nc.py.png
Attachments
SWOT_L2_HR_PIXC_019_200_086L_20240806T215721_20240806T215732_PGD0_01.nc.py.u.png

john6444
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Re: Question: SWOT pixel cloud data product misclassify cropland as water

by john6444 » Thu Jan 08, 2026 9:51 pm America/New_York

Thanks for your detailed description. The specific spatial extent is at the end of Daqing River, whose specific longitude range is from 116.875035 to 116.931715 and latitude range is between 39.046942 and 39.065448. This chosen region is not large because it is only used as a demonstration of misclassifying neighbouring cropland (potentially with high soil moisture) as open water.

Thanks for your time.

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