l2bin/l3bin/l3mapgen distortion for non-standard data product
Posted: Wed Oct 27, 2021 10:31 am America/New_York
Hi all,
I am trying to test an MDN approach to retrieve chl a using MODIS Rrs (see Pahlevan et al. 2020, https://www.sciencedirect.com/science/a ... 5719306248).
I am using L2 data files I created using the standard l2gen (at 1000m resolution). Afterwards, I use the Rrs in the model and append the result in the L2 nc file as chl_mdn. In order to proceed with l2bin-l3bin-l3mapgen to get weekly composites I first added a parameter in the product.xml file, following a forum post I saw. When I plot the l2 data directly the data looks good and I can compare with the standard chl a product, however the chl_mdn mapped image is completely distorted (see attache image). I am not sure if I am using any of the steps incorrectly (standard parameters for all steps at 1km and 'regional' prodtype) , or perhaps my input in product.xml is incorrect (wasn't sure if need to be under the overarching chl product as an algorithm or as a separate product, currently I am using the latter, see below).
Do you have any suggestions about using non-standard products as far as binning goes.
Thank you so much
Jonathan Sherman
</product>
<product name="chl_mdn">
<standardName>mass_concentration_of_chlorophyll_in_sea_water dervied using MDN</standardName>
<units>mg m^-3</units>
<category>Derived</category>
<range>
<validMin>0.001</validMin>
<validMax>100</validMax>
<displayMin>0.01</displayMin>
<displayMax>20</displayMax>
</range>
<algorithm>
<cat_ix>-1</cat_ix><!-- The cat_ix is required by l2gen - Since you're not creating the product within l2gen, leave this alone -->
<description>Chl from MDN without 748nm</description>
<reference>Pahlevan, N., B. Smith, J. Schalles, et al. 2020. "Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach." Remote Sensing of Environment, 111604 [10.1016/j.rse.2019.111604]</reference>
</algorithm>
</product>
I am trying to test an MDN approach to retrieve chl a using MODIS Rrs (see Pahlevan et al. 2020, https://www.sciencedirect.com/science/a ... 5719306248).
I am using L2 data files I created using the standard l2gen (at 1000m resolution). Afterwards, I use the Rrs in the model and append the result in the L2 nc file as chl_mdn. In order to proceed with l2bin-l3bin-l3mapgen to get weekly composites I first added a parameter in the product.xml file, following a forum post I saw. When I plot the l2 data directly the data looks good and I can compare with the standard chl a product, however the chl_mdn mapped image is completely distorted (see attache image). I am not sure if I am using any of the steps incorrectly (standard parameters for all steps at 1km and 'regional' prodtype) , or perhaps my input in product.xml is incorrect (wasn't sure if need to be under the overarching chl product as an algorithm or as a separate product, currently I am using the latter, see below).
Do you have any suggestions about using non-standard products as far as binning goes.
Thank you so much
Jonathan Sherman
</product>
<product name="chl_mdn">
<standardName>mass_concentration_of_chlorophyll_in_sea_water dervied using MDN</standardName>
<units>mg m^-3</units>
<category>Derived</category>
<range>
<validMin>0.001</validMin>
<validMax>100</validMax>
<displayMin>0.01</displayMin>
<displayMax>20</displayMax>
</range>
<algorithm>
<cat_ix>-1</cat_ix><!-- The cat_ix is required by l2gen - Since you're not creating the product within l2gen, leave this alone -->
<description>Chl from MDN without 748nm</description>
<reference>Pahlevan, N., B. Smith, J. Schalles, et al. 2020. "Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach." Remote Sensing of Environment, 111604 [10.1016/j.rse.2019.111604]</reference>
</algorithm>
</product>