Results are cross-checked with daily MODIS products. The lack of an accurate Sentinel-2 cloud mask causes errors. The HLS process has also been cross-checked with the MRI Framework. HLS website (public access, sample data available via FTP, algorithm & product descriptions, request new sites): NEX project page (registered user access, all HLS data available, documents (slides, user guides)): Jonathon Ross asked whether the HLS team has considered using GOES-16 data to help with the Sentinel-2 cloud mask issues. Jeff confirmed this has not been considered at this stage. Sentinel-3 is another possibly useful data source in this regard. Brian Killough noted that he is looking forward to trying this data in the Vietnam Data Cube. MRI Discussion Jenn Lacey noted that the MRI initiative started as a 2017 USGS CEOS Chair initiative. There have been discussions with COM about continuing the work as a 2018 CEOS Chair initiative, however at this stage it is not clear how it will be taken forward (taken up wholly by LSI-VC, 2018 CEOS Chair initiative, conclude, etc.). A discussion is needed around how to expand this work in CEOS, and the next steps going forward (e.g., should the survey be continued?). This will be discussed in detail during the LSI-VC sessions. Gene reported that the user perspective has been under-represented to date. Stephen Ward hopes that GFOI can step up and provide a strong user perspective/feedback on interoperability requirements. Adam Lewis suggested that, going forward, the MRI document should capture the different approaches for making data interoperable (radiometric matching, final product merging, etc.). Gene agreed that this would be helpful. Thursday, September 7 Review of Global Data Flows Study As background, George reviewed the ‘Global Data Flows Study’ (GDF) that was initiated by the SDCG in 2016. The basic premise was that, with data supply strong, data flow is arguably now the top priority role for SDCG, and the CSIRO-initiated FDA study agreed with many of the conclusions of the GDF study. The conclusions of the study noted the broader trend of data volumes outstripping user capacity, that the business as usual approach is not considered sustainable, the increasing number of data sources, reinforced the need for ARD products and tools, and that data providers are the key actor in quality assurance of data products. The study recommendations
Results are cross-checked with daily MODIS products. The lack of an accurate Sentinel-2 cloud mask causes errors. The HLS process has also been cross-checked with the MRI Framework. HLS website (public access, sample data available via FTP, algorithm & product descriptions, request new sites): NEX project page (registered user access, all HLS data available, documents (slides, user guides)): Jonathon Ross asked whether the HLS team has considered using GOES-16 data to help with the Sentinel-2 cloud mask issues. Jeff confirmed this has not been considered at this stage. Sentinel-3 is another possibly useful data source in this regard. Brian Killough noted that he is looking forward to trying this data in the Vietnam Data Cube. MRI Discussion Jenn Lacey noted that the MRI initiative started as a 2017 USGS CEOS Chair initiative. There have been discussions with COM about continuing the work as a 2018 CEOS Chair initiative, however at this stage it is not clear how it will be taken forward (taken up wholly by LSI-VC, 2018 CEOS Chair initiative, conclude, etc.). A discussion is needed around how to expand this work in CEOS, and the next steps going forward (e.g., should the survey be continued?). This will be discussed in detail during the LSI-VC sessions. Gene reported that the user perspective has been under-represented to date. Stephen Ward hopes that GFOI can step up and provide a strong user perspective/feedback on interoperability requirements. Adam Lewis suggested that, going forward, the MRI document should capture the different approaches for making data interoperable (radiometric matching, final product merging, etc.). Gene agreed that this would be helpful. Thursday, September 7 Review of Global Data Flows Study As background, George reviewed the ‘Global Data Flows Study’ (GDF) that was initiated by the SDCG in 2016. The basic premise was that, with data supply strong, data flow is arguably now the top priority role for SDCG, and the CSIRO-initiated FDA study agreed with many of the conclusions of the GDF study. The conclusions of the study noted the broader trend of data volumes outstripping user capacity, that the business as usual approach is not considered sustainable, the increasing number of data sources, reinforced the need for ARD products and tools, and that data providers are the key actor in quality assurance of data products. The study recommendations