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
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KWV_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KBQ_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXV_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KYV_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZV_2018-04-17_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KTV_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KUV_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_53KRQ_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KVV_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KWV_2018-04-20_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KLV_2018-04-20_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KMV_2018-04-20_final.stac-item
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55KDQ_2018-04-21_final.stac-item
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55KEQ_2018-04-21_final.stac-item
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55KFQ_2018-04-21_final.stac-item
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55KGQ_2018-04-21_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KKV_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KLV_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KGQ_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHQ_2018-04-28_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53KPQ_2018-05-03_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54KTV_2018-05-03_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53KQQ_2018-05-03_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54KUV_2018-05-03_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53KRQ_2018-05-03_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-03_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_50KKV_2018-05-03_final.stac-item
2018-05-04 09:57:06	ga_s2bm_ard_3-2-1_55KBQ_2018-05-04_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_56KKV_2018-05-08_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_56KLV_2018-05-08_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55KGQ_2018-05-08_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55KHQ_2018-05-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_52KBV_2018-05-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWQ_2018-05-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXQ_2018-05-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYQ_2018-05-08_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KZQ_2018-05-08_final.stac-item
2018-07-04 09:32:39	ga_s2bm_ard_3-2-1_56KLV_2018-07-04_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KMV_2018-07-06_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KNV_2018-07-06_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KPV_2018-07-06_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQV_2018-07-06_final.stac-item
2018-07-14 09:32:38	ga_s2bm_ard_3-2-1_56KLV_2018-07-14_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53KLQ_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53KMQ_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53KNQ_2018-07-15_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53KPQ_2018-07-15_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54KWV_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_55KBQ_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54KXV_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54KYV_2018-07-16_final.stac-item
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54KZV_2018-07-16_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KTV_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KUV_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_53KRQ_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KVV_2018-07-19_final.stac-item
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KWV_2018-07-19_final.stac-item
2018-07-20 09:50:52	ga_s2bm_ard_3-2-1_55KDQ_2018-07-20_final.stac-item
2018-07-20 09:50:52	ga_s2bm_ard_3-2-1_55KEQ_2018-07-20_final.stac-item
2018-07-20 09:50:52	ga_s2bm_ard_3-2-1_55KFQ_2018-07-20_final.stac-item
2018-07-20 09:50:52	ga_s2bm_ard_3-2-1_55KGQ_2018-07-20_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53KLQ_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53KMQ_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53KNQ_2018-07-25_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53KPQ_2018-07-25_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_54KWV_2018-07-26_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_55KBQ_2018-07-26_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_54KXV_2018-07-26_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_54KYV_2018-07-26_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_54KZV_2018-07-26_final.stac-item
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53KPQ_2018-08-01_final.stac-item
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_54KTV_2018-08-01_final.stac-item
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53KQQ_2018-08-01_final.stac-item
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_54KUV_2018-08-01_final.stac-item
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53KRQ_2018-08-01_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53KLQ_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53KMQ_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53KNQ_2018-08-04_final.stac-item
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53KPQ_2018-08-04_final.stac-item
2019-07-26 11:03:50	ga_s2bm_ard_3-2-1_52KGV_2019-07-26_final.stac-item
2019-07-26 11:03:54	ga_s2bm_ard_3-2-1_52KFV_2019-07-26_final.stac-item
2019-07-26 11:03:57	ga_s2bm_ard_3-2-1_52KEV_2019-07-26_final.stac-item
2019-07-26 11:04:02	ga_s2bm_ard_3-2-1_52KDV_2019-07-26_final.stac-item
2019-08-09 10:43:41	ga_s2bm_ard_3-2-1_53KPQ_2019-08-09_final.stac-item
2019-08-09 10:43:44	ga_s2bm_ard_3-2-1_53KNQ_2019-08-09_final.stac-item
2019-08-09 10:43:48	ga_s2bm_ard_3-2-1_53KMQ_2019-08-09_final.stac-item
2019-08-09 10:43:52	ga_s2bm_ard_3-2-1_53KLQ_2019-08-09_final.stac-item
2020-06-26 09:43:11	ga_s2bm_ard_3-2-1_56KLV_2020-06-26_final.stac-item
2020-06-26 09:43:14	ga_s2bm_ard_3-2-1_56KKV_2020-06-26_final.stac-item
2020-06-26 09:43:15	ga_s2bm_ard_3-2-1_55KHQ_2020-06-26_final.stac-item
2020-06-26 09:43:18	ga_s2bm_ard_3-2-1_55KGQ_2020-06-26_final.stac-item
2020-06-28 10:23:28	ga_s2bm_ard_3-2-1_54KWV_2020-06-28_final.stac-item
2020-06-28 10:23:31	ga_s2bm_ard_3-2-1_54KVV_2020-06-28_final.stac-item
2020-06-28 10:23:35	ga_s2bm_ard_3-2-1_54KUV_2020-06-28_final.stac-item
2020-06-28 10:23:39	ga_s2bm_ard_3-2-1_54KTV_2020-06-28_final.stac-item
2020-06-28 10:23:42	ga_s2bm_ard_3-2-1_53KRQ_2020-06-28_final.stac-item
2020-06-29 09:53:14	ga_s2bm_ard_3-2-1_55KGQ_2020-06-29_final.stac-item
2020-06-29 09:53:17	ga_s2bm_ard_3-2-1_55KFQ_2020-06-29_final.stac-item
2020-06-29 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-06-29_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

All years