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
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_56KMU_2017-11-16_final.stac-item
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_56KLU_2017-11-16_final.stac-item
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_56KMU_2017-12-06_final.stac-item
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_56KLU_2017-12-06_final.stac-item
2019-11-15 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-11-15_final.stac-item
2019-11-15 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2019-11-15_final.stac-item
2019-11-15 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2019-11-15_final.stac-item
2019-11-15 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2019-11-15_final.stac-item
2019-11-15 11:44:22	ga_s2bm_ard_3-2-1_50KPU_2019-11-15_final.stac-item
2019-11-16 09:33:23	ga_s2bm_ard_3-2-1_56KMU_2019-11-16_final.stac-item
2019-11-16 09:33:26	ga_s2bm_ard_3-2-1_56KLU_2019-11-16_final.stac-item
2019-11-17 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2019-11-17_final.stac-item
2019-11-17 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2019-11-17_final.stac-item
2019-11-17 10:43:53	ga_s2bm_ard_3-2-1_53KMP_2019-11-17_final.stac-item
2019-11-17 10:43:57	ga_s2bm_ard_3-2-1_53KLP_2019-11-17_final.stac-item
2019-11-19 09:43:21	ga_s2bm_ard_3-2-1_56KLU_2019-11-19_final.stac-item
2019-11-19 09:43:24	ga_s2bm_ard_3-2-1_56KKU_2019-11-19_final.stac-item
2019-11-19 09:43:25	ga_s2bm_ard_3-2-1_55KHP_2019-11-19_final.stac-item
2019-11-19 09:43:28	ga_s2bm_ard_3-2-1_55KGP_2019-11-19_final.stac-item
2019-11-19 09:43:32	ga_s2bm_ard_3-2-1_55KFP_2019-11-19_final.stac-item
2019-11-22 09:53:23	ga_s2bm_ard_3-2-1_55KGP_2019-11-22_final.stac-item
2019-11-22 09:53:27	ga_s2bm_ard_3-2-1_55KFP_2019-11-22_final.stac-item
2019-11-22 09:53:30	ga_s2bm_ard_3-2-1_55KEP_2019-11-22_final.stac-item
2019-11-22 09:53:33	ga_s2bm_ard_3-2-1_55KDP_2019-11-22_final.stac-item
2019-11-23 11:03:54	ga_s2bm_ard_3-2-1_52KGU_2019-11-23_final.stac-item
2019-11-23 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2019-11-23_final.stac-item
2019-11-23 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2019-11-23_final.stac-item
2019-11-23 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2019-11-23_final.stac-item
2019-11-30 10:53:45	ga_s2bm_ard_3-2-1_53KMP_2019-11-30_final.stac-item
2019-11-30 10:53:49	ga_s2bm_ard_3-2-1_53KLP_2019-11-30_final.stac-item
2019-11-30 10:53:52	ga_s2bm_ard_3-2-1_53KKP_2019-11-30_final.stac-item
2019-11-30 10:53:52	ga_s2bm_ard_3-2-1_52KHU_2019-11-30_final.stac-item
2019-11-30 10:53:56	ga_s2bm_ard_3-2-1_52KGU_2019-11-30_final.stac-item
2020-03-17 11:54:11	ga_s2bm_ard_3-2-1_50KQU_2020-03-17_final.stac-item
2020-03-17 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2020-03-17_final.stac-item
2020-03-17 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2020-03-17_final.stac-item
2020-03-17 11:54:24	ga_s2bm_ard_3-2-1_50KMU_2020-03-17_final.stac-item
2020-03-21 09:53:23	ga_s2bm_ard_3-2-1_55KGP_2020-03-21_final.stac-item
2020-03-21 09:53:27	ga_s2bm_ard_3-2-1_55KFP_2020-03-21_final.stac-item
2020-03-21 09:53:31	ga_s2bm_ard_3-2-1_55KEP_2020-03-21_final.stac-item
2020-03-21 09:53:34	ga_s2bm_ard_3-2-1_55KDP_2020-03-21_final.stac-item
2020-03-23 10:33:39	ga_s2bm_ard_3-2-1_54KUU_2020-03-23_final.stac-item
2020-03-23 10:33:43	ga_s2bm_ard_3-2-1_54KTU_2020-03-23_final.stac-item
2020-03-23 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2020-03-23_final.stac-item
2020-03-23 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2020-03-23_final.stac-item
2020-03-23 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2020-03-23_final.stac-item
2020-03-23 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2020-03-23_final.stac-item
2020-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-23_final.stac-item
2020-03-23 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-23_final.stac-item
2020-03-24 10:03:29	ga_s2bm_ard_3-2-1_55KDP_2020-03-24_final.stac-item
2020-03-24 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2020-03-24_final.stac-item
2020-03-24 10:03:36	ga_s2bm_ard_3-2-1_55KBP_2020-03-24_final.stac-item
2020-03-24 10:03:36	ga_s2bm_ard_3-2-1_54KZU_2020-03-24_final.stac-item
2020-03-24 10:03:40	ga_s2bm_ard_3-2-1_54KYU_2020-03-24_final.stac-item
2020-03-31 09:53:23	ga_s2bm_ard_3-2-1_55KGP_2020-03-31_final.stac-item
2020-03-31 09:53:27	ga_s2bm_ard_3-2-1_55KFP_2020-03-31_final.stac-item
2020-03-31 09:53:30	ga_s2bm_ard_3-2-1_55KEP_2020-03-31_final.stac-item
2020-03-31 09:53:34	ga_s2bm_ard_3-2-1_55KDP_2020-03-31_final.stac-item
2020-04-01 11:03:53	ga_s2bm_ard_3-2-1_52KGU_2020-04-01_final.stac-item
2020-04-01 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2020-04-01_final.stac-item
2020-04-01 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2020-04-01_final.stac-item
2020-04-01 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2020-04-01_final.stac-item
2020-04-04 11:13:54	ga_s2bm_ard_3-2-1_52KEU_2020-04-04_final.stac-item
2020-04-04 11:13:59	ga_s2bm_ard_3-2-1_52KDU_2020-04-04_final.stac-item
2020-04-04 11:14:03	ga_s2bm_ard_3-2-1_52KCU_2020-04-04_final.stac-item
2020-04-07 09:43:20	ga_s2bm_ard_3-2-1_56KLU_2020-04-07_final.stac-item
2020-04-07 09:43:23	ga_s2bm_ard_3-2-1_56KKU_2020-04-07_final.stac-item
2020-04-07 09:43:23	ga_s2bm_ard_3-2-1_55KHP_2020-04-07_final.stac-item
2020-04-07 09:43:27	ga_s2bm_ard_3-2-1_55KGP_2020-04-07_final.stac-item
2020-04-07 09:43:31	ga_s2bm_ard_3-2-1_55KFP_2020-04-07_final.stac-item
2020-04-07 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2020-04-07_final.stac-item
2020-04-07 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2020-04-07_final.stac-item
2020-04-07 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2020-04-07_final.stac-item
2020-04-07 11:24:08	ga_s2bm_ard_3-2-1_51KXP_2020-04-07_final.stac-item
2020-04-07 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-04-07_final.stac-item
2020-04-13 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2020-04-13_final.stac-item
2020-04-13 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2020-04-13_final.stac-item
2020-04-13 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2020-04-13_final.stac-item
2020-04-13 11:44:16	ga_s2bm_ard_3-2-1_50KQU_2020-04-13_final.stac-item
2020-04-13 11:44:19	ga_s2bm_ard_3-2-1_50KPU_2020-04-13_final.stac-item
2020-04-15 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2020-04-15_final.stac-item
2020-04-15 10:43:47	ga_s2bm_ard_3-2-1_53KNP_2020-04-15_final.stac-item
2020-04-15 10:43:51	ga_s2bm_ard_3-2-1_53KMP_2020-04-15_final.stac-item
2020-04-15 10:43:54	ga_s2bm_ard_3-2-1_53KLP_2020-04-15_final.stac-item
2020-04-18 10:53:45	ga_s2bm_ard_3-2-1_53KMP_2020-04-18_final.stac-item
2020-04-18 10:53:49	ga_s2bm_ard_3-2-1_53KLP_2020-04-18_final.stac-item
2020-04-18 10:53:52	ga_s2bm_ard_3-2-1_53KKP_2020-04-18_final.stac-item
2020-04-18 10:53:52	ga_s2bm_ard_3-2-1_52KHU_2020-04-18_final.stac-item
2020-04-18 10:53:56	ga_s2bm_ard_3-2-1_52KGU_2020-04-18_final.stac-item
2020-04-21 11:03:51	ga_s2bm_ard_3-2-1_52KGU_2020-04-21_final.stac-item
2020-04-21 11:03:55	ga_s2bm_ard_3-2-1_52KFU_2020-04-21_final.stac-item
2020-04-21 11:03:58	ga_s2bm_ard_3-2-1_52KEU_2020-04-21_final.stac-item
2020-04-21 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2020-04-21_final.stac-item
2020-04-23 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2020-04-23_final.stac-item
2020-04-23 11:44:10	ga_s2bm_ard_3-2-1_51KTP_2020-04-23_final.stac-item
2020-04-23 11:44:17	ga_s2bm_ard_3-2-1_50KPU_2020-04-23_final.stac-item
2020-04-24 11:13:52	ga_s2bm_ard_3-2-1_52KEU_2020-04-24_final.stac-item
2020-04-24 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2020-04-24_final.stac-item
2020-04-24 11:14:00	ga_s2bm_ard_3-2-1_52KCU_2020-04-24_final.stac-item
2020-04-24 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2020-04-24_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