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
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53KLQ_2017-11-17_final.stac-item
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53KMQ_2017-11-17_final.stac-item
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53KNQ_2017-11-17_final.stac-item
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53KPQ_2017-11-17_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KWV_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_55KBQ_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KXV_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KYU_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KYV_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KZU_2017-11-18_final.stac-item
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KZV_2017-11-18_final.stac-item
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54KTV_2017-11-21_final.stac-item
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54KUV_2017-11-21_final.stac-item
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_53KRP_2017-11-21_final.stac-item
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54KVV_2017-11-21_final.stac-item
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54KWV_2017-11-21_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KWV_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_55KBQ_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KXV_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KYU_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KYV_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KZU_2017-11-28_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KZV_2017-11-28_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_53KKQ_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_53KLQ_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_53KMQ_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52KGU_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52KGV_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52KHU_2017-11-30_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52KHV_2017-11-30_final.stac-item
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55KDQ_2017-12-02_final.stac-item
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55KEQ_2017-12-02_final.stac-item
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55KFQ_2017-12-02_final.stac-item
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55KGQ_2017-12-02_final.stac-item
2019-06-01 10:13:27	ga_s2bm_ard_3-2-1_55KBQ_2019-06-01_final.stac-item
2019-06-01 10:13:28	ga_s2bm_ard_3-2-1_54KZV_2019-06-01_final.stac-item
2019-06-01 10:13:31	ga_s2bm_ard_3-2-1_54KYV_2019-06-01_final.stac-item
2019-06-01 10:13:35	ga_s2bm_ard_3-2-1_54KXV_2019-06-01_final.stac-item
2019-06-01 10:13:38	ga_s2bm_ard_3-2-1_54KWV_2019-06-01_final.stac-item
2019-06-01 10:13:42	ga_s2bm_ard_3-2-1_54KZU_2019-06-01_final.stac-item
2019-06-01 10:13:46	ga_s2bm_ard_3-2-1_54KYU_2019-06-01_final.stac-item
2019-06-13 10:53:43	ga_s2bm_ard_3-2-1_53KMQ_2019-06-13_final.stac-item
2019-06-13 10:53:47	ga_s2bm_ard_3-2-1_53KLQ_2019-06-13_final.stac-item
2019-06-13 10:53:50	ga_s2bm_ard_3-2-1_53KKQ_2019-06-13_final.stac-item
2019-06-13 10:53:50	ga_s2bm_ard_3-2-1_52KHV_2019-06-13_final.stac-item
2019-06-13 10:53:53	ga_s2bm_ard_3-2-1_52KGV_2019-06-13_final.stac-item
2019-06-13 10:54:04	ga_s2bm_ard_3-2-1_52KHU_2019-06-13_final.stac-item
2019-06-13 10:54:08	ga_s2bm_ard_3-2-1_52KGU_2019-06-13_final.stac-item
2019-08-28 09:33:17	ga_s2bm_ard_3-2-1_56KLV_2019-08-28_final.stac-item
2019-09-02 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2019-09-02_final.stac-item
2019-09-02 12:04:13	ga_s2bm_ard_3-2-1_50KLV_2019-09-02_final.stac-item
2019-09-02 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2019-09-02_final.stac-item
2019-09-02 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2019-09-02_final.stac-item
2019-09-02 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2019-09-02_final.stac-item
2019-09-02 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-09-02_final.stac-item
2019-09-02 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2019-09-02_final.stac-item
2020-02-04 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2020-02-04_final.stac-item
2020-02-04 11:13:41	ga_s2bm_ard_3-2-1_52KDV_2020-02-04_final.stac-item
2020-02-04 11:13:45	ga_s2bm_ard_3-2-1_52KCV_2020-02-04_final.stac-item
2020-02-04 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-02-04_final.stac-item
2020-02-04 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2020-02-04_final.stac-item
2020-02-04 11:14:02	ga_s2bm_ard_3-2-1_51KZP_2020-02-04_final.stac-item
2020-02-07 09:43:02	ga_s2bm_ard_3-2-1_56KLV_2020-02-07_final.stac-item
2020-02-07 09:43:06	ga_s2bm_ard_3-2-1_56KKV_2020-02-07_final.stac-item
2020-02-07 09:43:06	ga_s2bm_ard_3-2-1_55KHQ_2020-02-07_final.stac-item
2020-02-07 09:43:10	ga_s2bm_ard_3-2-1_55KGQ_2020-02-07_final.stac-item
2020-02-07 09:43:21	ga_s2bm_ard_3-2-1_55KHP_2020-02-07_final.stac-item
2020-02-07 09:43:24	ga_s2bm_ard_3-2-1_55KGP_2020-02-07_final.stac-item
2020-02-11 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2020-02-11_final.stac-item
2020-02-11 11:03:40	ga_s2bm_ard_3-2-1_52KFV_2020-02-11_final.stac-item
2020-02-11 11:03:44	ga_s2bm_ard_3-2-1_52KEV_2020-02-11_final.stac-item
2020-02-11 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2020-02-11_final.stac-item
2020-02-18 10:53:32	ga_s2bm_ard_3-2-1_53KMQ_2020-02-18_final.stac-item
2020-02-18 10:53:35	ga_s2bm_ard_3-2-1_53KLQ_2020-02-18_final.stac-item
2020-02-18 10:53:39	ga_s2bm_ard_3-2-1_53KKQ_2020-02-18_final.stac-item
2020-02-18 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2020-02-18_final.stac-item
2020-02-18 10:53:42	ga_s2bm_ard_3-2-1_52KGV_2020-02-18_final.stac-item
2020-02-18 10:53:53	ga_s2bm_ard_3-2-1_52KHU_2020-02-18_final.stac-item
2020-02-18 10:53:57	ga_s2bm_ard_3-2-1_52KGU_2020-02-18_final.stac-item
2020-02-20 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2020-02-20_final.stac-item
2020-02-20 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2020-02-20_final.stac-item
2020-02-20 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-02-20_final.stac-item
2020-02-20 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-02-20_final.stac-item
2020-02-22 12:14:04	ga_s2bm_ard_3-2-1_50KKV_2020-02-22_final.stac-item
2020-02-22 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-02-22_final.stac-item
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final.stac-item
2020-02-22 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-02-22_final.stac-item
2020-02-22 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-02-22_final.stac-item
2020-02-23 10:03:13	ga_s2bm_ard_3-2-1_55KDQ_2020-02-23_final.stac-item
2020-02-23 10:03:17	ga_s2bm_ard_3-2-1_55KCQ_2020-02-23_final.stac-item
2020-02-23 10:03:20	ga_s2bm_ard_3-2-1_55KBQ_2020-02-23_final.stac-item
2020-02-23 10:03:21	ga_s2bm_ard_3-2-1_54KZV_2020-02-23_final.stac-item
2020-02-23 10:03:35	ga_s2bm_ard_3-2-1_54KZU_2020-02-23_final.stac-item
2020-02-23 10:03:39	ga_s2bm_ard_3-2-1_54KYU_2020-02-23_final.stac-item
2020-02-23 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2020-02-23_final.stac-item
2020-02-23 11:43:58	ga_s2bm_ard_3-2-1_51KTQ_2020-02-23_final.stac-item
2020-02-23 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2020-02-23_final.stac-item
2020-02-23 11:44:02	ga_s2bm_ard_3-2-1_50KQV_2020-02-23_final.stac-item
2020-02-23 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2020-02-23_final.stac-item
2020-02-23 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2020-02-23_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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