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
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KWV_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_55KBQ_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KXV_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KYV_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KZV_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KMV_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KNV_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KPV_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KQV_2018-08-05_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54KTV_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54KUV_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54KVV_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54KWV_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54KXV_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKV_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KLV_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KMV_2018-08-08_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KUQ_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KVQ_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWQ_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXQ_2018-08-09_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KDV_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KEV_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KFV_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KGV_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KHV_2018-08-10_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KPQ_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54KTV_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KQQ_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54KUV_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KRQ_2018-08-11_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-08-11_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-08-11_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_50KKV_2018-08-11_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KTV_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KUV_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KVV_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KWV_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KXV_2018-08-18_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KUQ_2018-08-19_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVQ_2018-08-19_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWQ_2018-08-19_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KXQ_2018-08-19_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KDV_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KEV_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KFV_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KGV_2018-08-20_final.stac-item
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KHV_2018-08-20_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KPQ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54KTV_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KQQ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54KUV_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KRQ_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHQ_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_50KKV_2018-08-21_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KTQ_2018-08-22_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUQ_2018-08-22_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50KPV_2018-08-22_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50KQV_2018-08-22_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50KRV_2018-08-22_final.stac-item
2018-08-23 09:32:32	ga_s2bm_ard_3-2-1_56KLV_2018-08-23_final.stac-item
2020-06-25 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2020-06-25_final.stac-item
2020-06-25 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2020-06-25_final.stac-item
2020-06-25 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2020-06-25_final.stac-item
2020-06-25 11:54:14	ga_s2bm_ard_3-2-1_50KMV_2020-06-25_final.stac-item
2022-04-29 10:23:10	ga_s2bm_ard_3-2-1_54KXV_2022-04-29_final.stac-item
2022-04-29 10:23:18	ga_s2bm_ard_3-2-1_54KWV_2022-04-29_final.stac-item
2022-04-29 10:23:22	ga_s2bm_ard_3-2-1_54KVV_2022-04-29_final.stac-item
2022-04-29 10:23:25	ga_s2bm_ard_3-2-1_54KUV_2022-04-29_final.stac-item
2022-04-29 10:23:30	ga_s2bm_ard_3-2-1_54KTV_2022-04-29_final.stac-item
2022-05-05 10:43:20	ga_s2bm_ard_3-2-1_53KQQ_2022-05-05_final.stac-item
2022-05-05 10:43:29	ga_s2bm_ard_3-2-1_53KPQ_2022-05-05_final.stac-item
2022-05-05 10:43:33	ga_s2bm_ard_3-2-1_53KNQ_2022-05-05_final.stac-item
2022-05-05 10:43:36	ga_s2bm_ard_3-2-1_53KMQ_2022-05-05_final.stac-item
2022-05-05 10:43:41	ga_s2bm_ard_3-2-1_53KLQ_2022-05-05_final.stac-item
2022-05-08 10:53:32	ga_s2bm_ard_3-2-1_53KMQ_2022-05-08_final.stac-item
2022-05-08 10:53:36	ga_s2bm_ard_3-2-1_53KLQ_2022-05-08_final.stac-item
2022-05-08 10:53:39	ga_s2bm_ard_3-2-1_53KKQ_2022-05-08_final.stac-item
2022-05-08 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2022-05-08_final.stac-item
2022-05-08 10:53:43	ga_s2bm_ard_3-2-1_52KGV_2022-05-08_final.stac-item
2022-05-12 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2022-05-12_final.stac-item
2022-05-12 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-05-12_final.stac-item
2022-05-12 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-05-12_final.stac-item
2022-05-13 10:03:07	ga_s2bm_ard_3-2-1_55KEQ_2022-05-13_final.stac-item
2022-05-13 10:03:15	ga_s2bm_ard_3-2-1_55KDQ_2022-05-13_final.stac-item
2022-05-13 10:03:19	ga_s2bm_ard_3-2-1_55KCQ_2022-05-13_final.stac-item
2022-05-13 10:03:22	ga_s2bm_ard_3-2-1_55KBQ_2022-05-13_final.stac-item
2022-05-13 10:03:22	ga_s2bm_ard_3-2-1_54KZV_2022-05-13_final.stac-item
2022-05-16 10:13:18	ga_s2bm_ard_3-2-1_55KBQ_2022-05-16_final.stac-item
2022-05-16 10:13:18	ga_s2bm_ard_3-2-1_54KZV_2022-05-16_final.stac-item
2022-05-16 10:13:22	ga_s2bm_ard_3-2-1_54KYV_2022-05-16_final.stac-item
2022-05-16 10:13:26	ga_s2bm_ard_3-2-1_54KXV_2022-05-16_final.stac-item
2022-05-16 10:13:29	ga_s2bm_ard_3-2-1_54KWV_2022-05-16_final.stac-item
2022-05-18 10:53:35	ga_s2bm_ard_3-2-1_53KMQ_2022-05-18_final.stac-item
2022-05-18 10:53:39	ga_s2bm_ard_3-2-1_53KLQ_2022-05-18_final.stac-item
2022-05-18 10:53:42	ga_s2bm_ard_3-2-1_53KKQ_2022-05-18_final.stac-item
2022-05-18 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2022-05-18_final.stac-item

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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