{"name": "QSWOT", "package_name": "swot", "description": "Discover, download, visualize, and analyze SWOT satellite hydrology data (river reaches and lakes) from NASA PO.DAAC's Hydrocron API.", "about": "QSWOT lets you search for SWOT (Surface Water and Ocean Topography)\nriver reaches and lakes by name, fetch their time-series measurements from\nNASA PO.DAAC's Hydrocron API, stream the results into styled QGIS layers,\nand run correlation / time-series analyses on the resulting attributes.\n.\nRequires QGIS 3.0+. Bundled Python packages used: numpy and matplotlib\n(both ship with standard QGIS installs). scipy is optional and only\nneeded for Spearman / Kendall correlations; Pearson works without it.\nTo install scipy into QGIS's Python on Windows, see:\nhttps://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/\n.\nNetwork access required to soto.podaac.earthdatacloud.nasa.gov,\nfts.podaac.earthdata.nasa.gov, and lakes.swot-lake.workers.dev. The\nplugin uses QgsNetworkAccessManager so QGIS proxy and SSL settings are\nhonored automatically.\n.\nCoverage is global but only where SWOT has observed; data starts from\nlate 2022 (SWOT operational launch). Source code and issue tracker on\nGitHub.", "homepage": "https://github.com/0xNima/QSWOT", "repository": "https://github.com/0xNima/QSWOT", "tracker": "https://github.com/0xNima/QSWOT/issues", "author": "Nima Asadi", "tags": ["statistics", "hydrology", "time series", "remote sensing", "hydraulics", "nasa", "earth observation", "rivers", "discharge", "altimetry", "hydrocron", "swot", "water level", "lakes", "satellite altimetry", "web service", "podaac", "cnes", "correlation", "water surface elevation"], "downloads": 33, "latest_version": "0.1.1", "versions": [{"version": "0.1.1", "experimental": true, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 33, "uploaded_by": "0xNima", "upload_datetime": "2026-06-23T14:12:53.328522"}]}