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
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_52KBB_2018-09-15_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_52KCB_2018-09-15_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KXS_2018-09-15_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KYR_2018-09-15_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_53KKS_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_53KLS_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52KGA_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52KGB_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_53KMS_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52KHA_2018-09-16_final.stac-item
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52KHB_2018-09-16_final.stac-item
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55KDS_2018-09-18_final.stac-item
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55KES_2018-09-18_final.stac-item
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55KFS_2018-09-18_final.stac-item
2018-09-18 09:50:46	ga_s2bm_ard_3-2-1_55KGS_2018-09-18_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_55KBS_2018-09-21_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_55KCS_2018-09-21_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_54KZA_2018-09-21_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_54KZB_2018-09-21_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_55KDS_2018-09-21_final.stac-item
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_55KES_2018-09-21_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53KMS_2018-09-23_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53KNS_2018-09-23_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53KPS_2018-09-23_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53KQS_2018-09-23_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KWB_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KXB_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBS_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KYA_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KYB_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KZA_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_54KZB_2018-09-24_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_52KBB_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_52KCB_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KXS_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KYR_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KYS_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KZR_2018-09-25_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KZS_2018-09-25_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2018-09-25_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_53KKS_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_53KLS_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52KGA_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52KGB_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_53KMS_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52KHA_2018-09-26_final.stac-item
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52KHB_2018-09-26_final.stac-item
2019-06-07 12:13:47	ga_s2bm_ard_3-2-1_50KKB_2019-06-07_final.stac-item
2019-06-07 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2019-06-07_final.stac-item
2019-06-07 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-06-07_final.stac-item
2019-06-27 12:13:48	ga_s2bm_ard_3-2-1_50KKB_2019-06-27_final.stac-item
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final.stac-item
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final.stac-item
2019-08-28 09:32:53	ga_s2bm_ard_3-2-1_56KLB_2019-08-28_final.stac-item
2019-09-10 09:42:41	ga_s2bm_ard_3-2-1_56KLB_2019-09-10_final.stac-item
2019-09-10 09:42:44	ga_s2bm_ard_3-2-1_56KKB_2019-09-10_final.stac-item
2019-09-10 09:42:44	ga_s2bm_ard_3-2-1_55KHS_2019-09-10_final.stac-item
2019-09-10 09:42:48	ga_s2bm_ard_3-2-1_55KGS_2019-09-10_final.stac-item
2019-09-10 09:42:59	ga_s2bm_ard_3-2-1_55KHR_2019-09-10_final.stac-item
2019-09-10 09:43:02	ga_s2bm_ard_3-2-1_55KGR_2019-09-10_final.stac-item
2019-11-11 10:22:52	ga_s2bm_ard_3-2-1_54KXB_2019-11-11_final.stac-item
2019-11-22 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2019-11-22_final.stac-item
2019-11-22 09:52:43	ga_s2bm_ard_3-2-1_55KFS_2019-11-22_final.stac-item
2019-11-22 09:52:47	ga_s2bm_ard_3-2-1_55KES_2019-11-22_final.stac-item
2019-11-22 09:52:53	ga_s2bm_ard_3-2-1_55KDS_2019-11-22_final.stac-item
2019-12-01 10:22:48	ga_s2bm_ard_3-2-1_54KXB_2019-12-01_final.stac-item
2019-12-01 10:22:51	ga_s2bm_ard_3-2-1_54KWB_2019-12-01_final.stac-item
2019-12-01 10:22:55	ga_s2bm_ard_3-2-1_54KVB_2019-12-01_final.stac-item
2019-12-01 10:22:58	ga_s2bm_ard_3-2-1_54KUB_2019-12-01_final.stac-item
2019-12-27 10:42:56	ga_s2bm_ard_3-2-1_53KQS_2019-12-27_final.stac-item
2019-12-27 10:43:00	ga_s2bm_ard_3-2-1_53KPS_2019-12-27_final.stac-item
2019-12-27 10:43:03	ga_s2bm_ard_3-2-1_53KNS_2019-12-27_final.stac-item
2019-12-27 10:43:06	ga_s2bm_ard_3-2-1_53KMS_2019-12-27_final.stac-item
2020-01-05 09:32:40	ga_s2bm_ard_3-2-1_56KNB_2020-01-05_final
2020-01-05 09:32:41	ga_s2bm_ard_3-2-1_56KMB_2020-01-05_final
2020-01-05 09:32:43	ga_s2bm_ard_3-2-1_56KLB_2020-01-05_final.stac-item
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KQB_2020-01-07_final.stac-item
2020-01-07 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2020-01-07_final.stac-item
2020-01-07 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2020-01-07_final.stac-item
2020-01-07 11:53:37	ga_s2bm_ard_3-2-1_50KMB_2020-01-07_final.stac-item
2020-01-08 09:42:31	ga_s2bm_ard_3-2-1_56KMB_2020-01-08_final
2020-01-08 09:42:34	ga_s2bm_ard_3-2-1_56KLB_2020-01-08_final.stac-item
2020-01-08 09:42:38	ga_s2bm_ard_3-2-1_56KKB_2020-01-08_final.stac-item
2020-01-08 09:42:38	ga_s2bm_ard_3-2-1_55KHS_2020-01-08_final.stac-item
2020-01-08 09:42:41	ga_s2bm_ard_3-2-1_55KGS_2020-01-08_final.stac-item
2020-01-08 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2020-01-08_final.stac-item
2020-01-08 09:42:56	ga_s2bm_ard_3-2-1_55KGR_2020-01-08_final.stac-item
2020-01-08 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2020-01-08_final.stac-item
2020-01-08 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2020-01-08_final.stac-item
2020-01-08 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2020-01-08_final.stac-item
2020-01-08 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2020-01-08_final.stac-item
2020-01-08 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2020-01-08_final.stac-item
2020-01-08 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2020-01-08_final.stac-item
2020-01-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2020-01-08_final.stac-item
2020-01-09 10:53:01	ga_s2bm_ard_3-2-1_53KMS_2020-01-09_final.stac-item
2020-01-09 10:53:05	ga_s2bm_ard_3-2-1_53KLS_2020-01-09_final.stac-item
2020-01-09 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2020-01-09_final.stac-item
2020-01-09 10:53:09	ga_s2bm_ard_3-2-1_52KHB_2020-01-09_final.stac-item
2020-01-09 10:53:15	ga_s2bm_ard_3-2-1_52KGB_2020-01-09_final.stac-item
2020-01-09 10:53:23	ga_s2bm_ard_3-2-1_52KHA_2020-01-09_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