oya_ee_lisiting: Submitting ee listing to catalog for staging, disabled public viewing

catalog/global-precipitation-nowcast/catalog.jsonnet

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+local id = 'global-precipitation-nowcast';
+local subdir = id;
+
+local description = importstr 'description.md';
+local ee_const = import 'earthengine_const.libsonnet';
+local ee = import 'earthengine.libsonnet';
+
+local basename = 'catalog';
+local base_filename = basename + '.json';
+local base_url = ee_const.catalog_base + subdir + '/';
+local parent_url = ee_const.catalog_base + 'catalog.json';
+local self_url = base_url + base_filename;
+
+{
+  stac_version: ee_const.stac_version,
+  type: ee_const.stac_type.catalog,
+  id: id,
+  title: id,
+  description: description,
+  status: 'beta', # TODO(vusumuzi)
+  links: [
+    ee.link.root(),
+    ee.link.parent(parent_url),
+    ee.link.self_link(self_url),
+    // TODO(google): Enable link when changing gee:status
+    ee.link.child_collection('projects_global_precipitation_nowcast_assets_precip_nowcast_12hr', base_url),
+  ]
+} 
+

catalog/global-precipitation-nowcast/description.md

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+This dataset provides a global nowcast of precipitation from 2020 to 2025,
+generated using advanced machine learning methods applied to observations from
+multiple satellite platforms. The product offers high-resolution precipitation
+estimates at a spatial resolution of 5 km and a temporal resolution of 3 hours,
+making it suitable for a wide range of applications requiring near real-time
+precipitation information, such as hydrological modeling, disaster monitoring,
+and agricultural management. The machine learning approach leverages the
+strengths of various satellite sensors to provide a comprehensive and robust
+precipitation nowcast, even in regions with sparse ground-based observations.
+
+Examples Scripts
+
+- [(Code Editor)](https://code.earthengine.google.com/?scriptPath=users%2Fvusumuzi%2Foya_colab%3Aband_filtering) [(Colab)](https://colab.research.google.com/drive/1lgYU93774VDVBkMyTwnXCe6eyu_8P2ak?resourcekey=0-U-UAcHGMzHNcEi6OY7KEGw&usp=sharing) Filtering Bands
+- [(Code Editor)]() [(Colab)]() Loading Image Collection
+- [(Code Editor)]() [(Colab)]() Creating Animations

catalog/global-precipitation-nowcast/projects_global_precipitation_nowcast_assets_precip_nowcast_12hr.jsonnet

@@ -0,0 +1,258 @@
+# local id = 'GOOGLE/Research/oya-historical-nowcast/v1';
+local id = 'projects/global-precipitation-nowcast/assets/precip_nowcast_12hr';
+# projects_global_precipitation_nowcast_assets_precip_nowcast_12hr
+local subdir = 'global-precipitation-nowcast';
+local version = '1';
+local ee_const = import 'earthengine_const.libsonnet';
+local ee = import 'earthengine.libsonnet';
+local spdx = import 'spdx.libsonnet';
+local units = import 'units.libsonnet';
+
+local license = spdx.cc_by_4_0; # TODO(b/415992925)
+
+local catalog_subdir_url = ee_const.catalog_base + subdir + '/';
+local basename = std.strReplace(id, '/', '_');
+local base_filename = basename + '.json';
+local self_ee_catalog_url = ee_const.ee_catalog_url + basename;
+local parent_url = catalog_subdir_url + 'catalog.json';
+local self_url = catalog_subdir_url + base_filename;
+
+# nowcast every 3 hours , the bands, bands per threshold
+# W
+{
+  stac_version: ee_const.stac_version,
+  type: ee_const.stac_type.collection,
+  stac_extensions: [
+    ee_const.ext_eo,
+    ee_const.ext_sci,
+    ee_const.ext_ver,
+  ],
+  id: id,
+  title: 'Global Precipitation Nowcast V' + version,
+  version: version,
+  'gee:status':'beta',
+  'gee:type': ee_const.gee_type.image_collection,
+  # TODO(b/415993443)
+  description: |||
+    TODO
+  |||,
+  license: license.id,
+  links: ee.standardLinks(subdir, id) + [
+    ee.link.license(license.reference),
+    ee.link.license(spdx.odbl_1_0.reference),
+  ],
+  'gee:categories': ['climate'],
+  keywords: [
+    'global',
+    'precipitation',
+    'nowcast',
+    'climate',
+    'weather',
+  ],
+  providers: [
+    ee.producer_provider('Google Research - Oya',
+                         'https://blog.google/intl/en-africa/products/explore-get-answers/nowcasting-on-search-is-bringing-ai-powered-weather-forecasts-to-users-across-africa/'),
+    ee.host_provider(self_ee_catalog_url),
+  ],
+  extent: ee.extent_global('2020-01-01T07:00:00Z', '2025-04-30T23:30:00Z'),
+  summaries: {
+    gsd: [
+      4,
+    ],
+    'gee:schema': [
+      {
+        name: 'forecast_target_time',
+        description: |||
+          The initialization time of the forecast. This is the same for all
+          forecast hours within a single model run.
+        |||,
+        type: ee_const.var_type.int,
+      },
+      {
+        name: 'forecast_seconds',
+        description: |||
+          The valid time for this specific forecast. Calculated as
+          forecast_target_time + forecast_hour.
+        |||,
+        type: ee_const.var_type.int,
+      },
+      {
+        name: 'ingestion_time_utc',
+        description: |||
+          The time when this forecast data became available in Earth Engine.
+        |||,
+        type: ee_const.var_type.double,
+      }, #TODO(b/415995692)
+      {
+        name: 'timestamp',
+        description: |||
+          TODO
+        |||,
+        type: ee_const.var_type.int,
+      },
+      {
+        name: 'inference_home_type',
+        description: |||
+          TODO
+        |||,
+        type: ee_const.var_type.double,
+      },
+      {
+        name: 'job_start_utc',
+        description: |||
+          TODO
+        |||,
+        type: ee_const.var_type.double,
+      },
+    ],
+    'eo:bands': [
+      {
+        name: "precip_200_um",
+        description: |||
+          Precipitation at a threshold of 200 $mu$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_400_um",
+        description: |||
+          Precipitation at a threshold of 300 $mu$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_1000_um",
+        description: |||
+          Precipitation at a threshold of 1 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_1600_um",
+        description: |||
+          Precipitation at a threshold of 1.6 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_2400_um",
+        description: |||
+          Precipitation at a threshold of 2.4 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_4000_um",
+        description: |||
+          Precipitation at a threshold of 4.0 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_5000_um",
+        description: |||
+          Precipitation at a threshold of 5.0 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_7000_um",
+        description: |||
+          Precipitation at a threshold of 7.0 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_10000_um",
+        description: |||
+          Precipitation at a threshold of 10 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_15000_um",
+        description: |||
+          Precipitation at a threshold of 15 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_25000_um",
+        description: |||
+          Precipitation at a threshold of 25 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_30000_um",
+        description: |||
+          Precipitation at a threshold of 30 $m$meters.
+        |||,
+        'gee:units': units.meter,
+      },
+      {
+        name: "precip_type",
+        description: |||
+          bit Mask that indicates the type of precipitation, either rain, snowfall or hail.
+        |||,
+      },
+          ],
+    'gee:visualizations': [
+      {
+        display_name: 'Precipitation',
+        lookat: {
+          lat: 52.48,
+          lon: 71.72,
+          zoom: 1,
+        },
+        image_visualization: {
+          band_vis: {
+            min: [
+              0
+            ],
+            max: [
+              50,
+            ],
+            palette: [
+              '46EF00',  # brightest green
+              '36BD01',  # bright green
+              '1F7B00',  # green
+              '145A01',  # dark green
+              '0E4200',  # darkest green
+              'FEFD03',  # yellow
+              'F8CD02',  # dark yellow
+              'FA8400',  # orange
+              'd60024',  # red
+              'd60024',  # red
+              'd60024',  # red
+              'd60024',  # red
+            ],
+            bands: [
+              'precip_200_um',
+              'precip_400_um',
+              'precip_1000_um',
+              'precip_1600_um',
+              'precip_2400_um',
+              'precip_4000_um',
+              'precip_5000_um',
+              'precip_7000_um',
+              'precip_10000_um',
+              'precip_15000_um',
+              'precip_25000_um',
+              'precip_30000_um',
+            ],
+          },
+        },
+      },
+    ],
+  },
+  # TODO(b/415997850)
+  'sci:citation': |||
+    TODO
+  |||,
+  'gee:terms_of_use': ee.gee_terms_of_use(license) + '\n\n' + |||
+    TODO
+  |||,
+  'gee:user_uploaded': false,
+
+}