Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-06-03 10:54:31	ga_s2bm_ard_3-2-1_53JLM_2019-06-03_final.stac-item
2019-06-03 10:54:34	ga_s2bm_ard_3-2-1_52JHS_2019-06-03_final.stac-item
2019-06-03 10:54:34	ga_s2bm_ard_3-2-1_53JKM_2019-06-03_final.stac-item
2019-06-03 10:54:38	ga_s2bm_ard_3-2-1_52JGS_2019-06-03_final.stac-item
2019-06-03 10:54:41	ga_s2bm_ard_3-2-1_52JFS_2019-06-03_final.stac-item
2019-06-03 10:54:49	ga_s2bm_ard_3-2-1_53JKL_2019-06-03_final.stac-item
2019-06-03 10:54:52	ga_s2bm_ard_3-2-1_52JGR_2019-06-03_final.stac-item
2019-06-03 10:54:56	ga_s2bm_ard_3-2-1_52JFR_2019-06-03_final.stac-item
2019-06-04 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2019-06-04_final.stac-item
2019-06-04 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-06-04_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-06-04_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final.stac-item
2019-06-04 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-06-04_final.stac-item
2019-06-04 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-04_final.stac-item
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final.stac-item
2019-06-05 09:54:06	ga_s2bm_ard_3-2-1_55JFM_2019-06-05_final.stac-item
2019-06-05 09:54:10	ga_s2bm_ard_3-2-1_55JEM_2019-06-05_final.stac-item
2019-06-05 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-05_final.stac-item
2019-06-05 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-06-05_final.stac-item
2019-06-14 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-06-14_final.stac-item
2019-06-14 12:05:04	ga_s2bm_ard_3-2-1_50JKS_2019-06-14_final.stac-item
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final.stac-item
2019-06-14 12:05:19	ga_s2bm_ard_3-2-1_50JKR_2019-06-14_final.stac-item
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final.stac-item
2019-06-15 09:54:05	ga_s2bm_ard_3-2-1_55JFM_2019-06-15_final.stac-item
2019-06-15 09:54:09	ga_s2bm_ard_3-2-1_55JEM_2019-06-15_final.stac-item
2019-06-15 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-15_final.stac-item
2019-06-15 09:54:16	ga_s2bm_ard_3-2-1_55JCM_2019-06-15_final.stac-item
2019-06-15 11:34:53	ga_s2bm_ard_3-2-1_51JWM_2019-06-15_final.stac-item
2019-06-15 11:34:54	ga_s2bm_ard_3-2-1_51JVM_2019-06-15_final.stac-item
2019-06-15 11:34:56	ga_s2bm_ard_3-2-1_51JUM_2019-06-15_final.stac-item
2019-06-15 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-06-15_final.stac-item
2019-06-15 11:34:58	ga_s2bm_ard_3-2-1_51JTM_2019-06-15_final.stac-item
2019-06-15 11:35:11	ga_s2bm_ard_3-2-1_51JTL_2019-06-15_final.stac-item
2019-06-24 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-06-24_final.stac-item
2019-06-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-24_final.stac-item
2019-06-24 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-06-24_final.stac-item
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final.stac-item
2019-06-24 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-06-24_final.stac-item
2019-06-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-24_final.stac-item
2019-06-25 09:54:06	ga_s2bm_ard_3-2-1_55JFM_2019-06-25_final.stac-item
2019-06-25 09:54:10	ga_s2bm_ard_3-2-1_55JEM_2019-06-25_final.stac-item
2019-06-25 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-25_final.stac-item
2019-06-25 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-06-25_final.stac-item
2019-07-31 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-07-31_final.stac-item
2019-07-31 11:54:59	ga_s2bm_ard_3-2-1_50JNS_2019-07-31_final.stac-item
2019-07-31 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-07-31_final.stac-item
2019-07-31 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-07-31_final.stac-item
2019-08-10 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2019-08-10_final.stac-item
2019-08-10 11:54:58	ga_s2bm_ard_3-2-1_50JNS_2019-08-10_final.stac-item
2019-08-10 11:55:02	ga_s2bm_ard_3-2-1_50JMS_2019-08-10_final.stac-item
2019-08-10 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-08-10_final.stac-item
2019-10-14 11:04:26	ga_s2bm_ard_3-2-1_52JGS_2019-10-14_final.stac-item
2019-10-14 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2019-10-14_final.stac-item
2019-10-14 11:04:34	ga_s2bm_ard_3-2-1_52JES_2019-10-14_final.stac-item
2019-10-14 11:04:37	ga_s2bm_ard_3-2-1_52JGR_2019-10-14_final.stac-item
2019-10-14 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2019-10-14_final.stac-item
2019-10-14 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2019-10-14_final.stac-item
2019-10-20 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2019-10-20_final.stac-item
2019-10-20 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2019-10-20_final.stac-item
2019-10-20 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2019-10-20_final.stac-item
2019-10-20 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2019-10-20_final.stac-item
2019-10-20 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2019-10-20_final.stac-item
2019-10-20 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2019-10-20_final.stac-item
2019-10-20 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2019-10-20_final.stac-item
2019-10-20 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2019-10-20_final.stac-item
2019-11-02 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2019-11-02_final.stac-item
2019-11-02 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2019-11-02_final.stac-item
2019-11-02 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-11-02_final.stac-item
2019-11-02 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2019-11-02_final.stac-item
2019-11-02 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2019-11-02_final.stac-item
2019-11-02 11:35:04	ga_s2bm_ard_3-2-1_51JTL_2019-11-02_final.stac-item
2024-05-12 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2024-05-12_final
2024-05-12 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2024-05-12_final
2024-05-12 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2024-05-12_final
2024-05-12 10:04:08	ga_s2bm_ard_3-2-1_55JBM_2024-05-12_final
2024-05-12 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2024-05-12_final
2024-05-12 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2024-05-12_final
2024-05-12 10:04:26	ga_s2bm_ard_3-2-1_54JYR_2024-05-12_final
2024-05-13 11:14:55	ga_s2bm_ard_3-2-1_51JYL_2024-05-13_final
2024-05-17 10:54:21	ga_s2bm_ard_3-2-1_53JLM_2024-05-17_final
2024-05-17 10:54:24	ga_s2bm_ard_3-2-1_52JHS_2024-05-17_final
2024-05-17 10:54:24	ga_s2bm_ard_3-2-1_53JKM_2024-05-17_final
2024-05-17 10:54:27	ga_s2bm_ard_3-2-1_52JGS_2024-05-17_final
2024-05-17 10:54:31	ga_s2bm_ard_3-2-1_52JFS_2024-05-17_final
2024-05-17 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2024-05-17_final
2024-05-17 10:54:42	ga_s2bm_ard_3-2-1_52JGR_2024-05-17_final
2024-05-19 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2024-05-19_final
2024-06-04 10:14:08	ga_s2bm_ard_3-2-1_54JYS_2024-06-04_nrt
2024-06-04 10:14:19	ga_s2bm_ard_3-2-1_54JVS_2024-06-04_nrt
2024-06-04 10:14:23	ga_s2bm_ard_3-2-1_54JYR_2024-06-04_nrt
2024-06-04 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2024-06-04_nrt
2024-06-05 09:43:54	ga_s2bm_ard_3-2-1_56JLS_2024-06-05_nrt
2024-06-05 09:43:58	ga_s2bm_ard_3-2-1_55JHM_2024-06-05_nrt
2024-06-05 09:43:58	ga_s2bm_ard_3-2-1_56JKS_2024-06-05_nrt
2024-06-05 09:44:01	ga_s2bm_ard_3-2-1_55JGM_2024-06-05_nrt
2024-06-05 09:44:05	ga_s2bm_ard_3-2-1_55JFM_2024-06-05_nrt
2024-06-05 09:44:12	ga_s2bm_ard_3-2-1_56JKR_2024-06-05_nrt
2024-06-05 09:44:16	ga_s2bm_ard_3-2-1_55JGL_2024-06-05_nrt

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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