{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:09:55Z","timestamp":1730264995379,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,16]]},"DOI":"10.1109\/igarss52108.2023.10283106","type":"proceedings-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T13:42:53Z","timestamp":1697809373000},"page":"414-417","source":"Crossref","is-referenced-by-count":1,"title":["Enabling Global Processing of Reference Water Products for Flood Mapping using Kubernetes and STAC"],"prefix":"10.1109","author":[{"given":"Sandro","family":"Groth","sequence":"first","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]},{"given":"Florian","family":"Fichtner","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]},{"given":"Marc","family":"Wieland","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]},{"given":"Nico","family":"Mandery","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]},{"given":"Torsten","family":"Riedlinger","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]},{"given":"Sandro","family":"Martinis","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center (DFD),German Aerospace Center (DLR),Oberpfaffenhofen,Germany"}]}],"member":"263","reference":[{"year":"2023","key":"ref13","article-title":"Earth Observation Data Access Gateway"},{"key":"ref12","first-page":"77","article-title":"Scalable processing of copernicus sentinel satellite images using argo work-flows","author":"fichtner","year":"2021","journal-title":"Big Data from Space 2021"},{"year":"2022","key":"ref15","article-title":"Tilematrix"},{"year":"2023","key":"ref14","article-title":"ESA Sentinel Application Platform"},{"year":"2022","key":"ref11","article-title":"Argo Workflows - The work-flow engine for Kubernetes"},{"year":"2022","key":"ref10","article-title":"Kubernetes: Production-Grade Container Orchestration"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.3390\/rs11192330","article-title":"A modular processing chain for automated flood monitoring from multi-spectral satellite data","volume":"11","author":"wieland","year":"2019","journal-title":"Remote Sensing"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1109\/JSTARS.2022.3152127","article-title":"Sentinel-1-based water and flood mapping: Benchmarking convolutional neural networks against an operational rule-based processing chain","volume":"15","author":"helleis","year":"2022","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"year":"2022","key":"ref17","article-title":"odc.stac"},{"year":"2022","key":"ref16","article-title":"Xarray: N-D labeled arrays and datasets in Python"},{"year":"2023","key":"ref19","article-title":"EOC Geoservice"},{"year":"2022","key":"ref18","article-title":"Dask: Scale the Python tools you love"},{"year":"2019","key":"ref8","article-title":"Terra_byte - top computing power for researching global change"},{"year":"2022","key":"ref7","article-title":"Cloud Optimized GeoTIFF: An imagery format for cloud-native geospatial processing"},{"year":"2022","key":"ref9","article-title":"Docker: Develop faster. Run anywhere"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"pekel","year":"2016","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2022.113077"},{"year":"2021","key":"ref6","article-title":"SpatioTemporal Asset Catalog (STAC) specification"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2015.10.014"}],"event":{"name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2023,7,16]]},"location":"Pasadena, CA, USA","end":{"date-parts":[[2023,7,21]]}},"container-title":["IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10281394\/10281399\/10283106.pdf?arnumber=10283106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T14:02:02Z","timestamp":1699279322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10283106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/igarss52108.2023.10283106","relation":{},"subject":[],"published":{"date-parts":[[2023,7,16]]}}}