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
2019-07-26 09:23:48	ga_s2bm_ard_3-2-1_56JNT_2019-07-25_final.stac-item
2019-07-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-27_final.stac-item
2019-07-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-27_final.stac-item
2019-08-01 09:43:46	ga_s2bm_ard_3-2-1_56JLT_2019-08-01_final.stac-item
2019-08-01 09:43:49	ga_s2bm_ard_3-2-1_55JHN_2019-08-01_final.stac-item
2019-08-01 09:43:49	ga_s2bm_ard_3-2-1_56JKT_2019-08-01_final.stac-item
2019-08-01 09:43:53	ga_s2bm_ard_3-2-1_55JGN_2019-08-01_final.stac-item
2019-08-01 09:43:56	ga_s2bm_ard_3-2-1_55JFN_2019-08-01_final.stac-item
2019-08-03 12:04:43	ga_s2bm_ard_3-2-1_50JMT_2019-08-03_final.stac-item
2019-08-03 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-08-03_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-08-03_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2019-08-03_final.stac-item
2019-08-03 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-08-03_final.stac-item
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50JPT_2019-08-10_final.stac-item
2019-08-10 11:54:44	ga_s2bm_ard_3-2-1_50JNT_2019-08-10_final.stac-item
2019-08-10 11:54:47	ga_s2bm_ard_3-2-1_50JMT_2019-08-10_final.stac-item
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final.stac-item
2019-08-13 12:04:42	ga_s2bm_ard_3-2-1_50JMT_2019-08-13_final.stac-item
2019-08-13 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-08-13_final.stac-item
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-08-13_final.stac-item
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2019-08-13_final.stac-item
2019-08-13 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2019-08-13_final.stac-item
2019-08-14 11:34:31	ga_s2bm_ard_3-2-1_51JWN_2019-08-14_final.stac-item
2019-08-14 11:34:35	ga_s2bm_ard_3-2-1_51JVN_2019-08-14_final.stac-item
2019-08-14 11:34:38	ga_s2bm_ard_3-2-1_51JUN_2019-08-14_final.stac-item
2019-08-14 11:34:42	ga_s2bm_ard_3-2-1_51JTN_2019-08-14_final.stac-item
2019-08-14 11:34:43	ga_s2bm_ard_3-2-1_50JRT_2019-08-14_final.stac-item
2019-08-18 09:33:41	ga_s2bm_ard_3-2-1_56JNT_2019-08-18_final.stac-item
2019-08-18 09:33:45	ga_s2bm_ard_3-2-1_56JMT_2019-08-18_final.stac-item
2019-08-18 09:33:48	ga_s2bm_ard_3-2-1_56JLT_2019-08-18_final.stac-item
2019-08-20 11:54:39	ga_s2bm_ard_3-2-1_50JPT_2019-08-20_final.stac-item
2019-08-20 11:54:43	ga_s2bm_ard_3-2-1_50JNT_2019-08-20_final.stac-item
2019-08-20 11:54:46	ga_s2bm_ard_3-2-1_50JMT_2019-08-20_final.stac-item
2019-08-20 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2019-08-20_final.stac-item
2020-02-16 10:13:40	ga_s2bm_ard_3-2-1_55JBN_2020-02-16_final.stac-item
2020-02-16 10:13:41	ga_s2bm_ard_3-2-1_54JZT_2020-02-16_final.stac-item
2020-02-16 10:13:47	ga_s2bm_ard_3-2-1_54JYT_2020-02-16_final.stac-item
2020-02-16 10:13:51	ga_s2bm_ard_3-2-1_54JXT_2020-02-16_final.stac-item
2020-02-16 10:13:55	ga_s2bm_ard_3-2-1_54JWT_2020-02-16_final.stac-item
2020-02-16 10:14:01	ga_s2bm_ard_3-2-1_54JVT_2020-02-16_final.stac-item
2020-02-17 09:43:34	ga_s2bm_ard_3-2-1_56JLT_2020-02-17_final.stac-item
2020-02-17 09:43:37	ga_s2bm_ard_3-2-1_55JHN_2020-02-17_final.stac-item
2020-02-17 09:43:37	ga_s2bm_ard_3-2-1_56JKT_2020-02-17_final.stac-item
2020-02-17 09:43:40	ga_s2bm_ard_3-2-1_55JGN_2020-02-17_final.stac-item
2020-02-17 09:43:44	ga_s2bm_ard_3-2-1_55JFN_2020-02-17_final.stac-item
2020-02-22 10:33:49	ga_s2bm_ard_3-2-1_54JUT_2020-02-22_final.stac-item
2024-04-20 09:23:37	ga_s2bm_ard_3-2-1_56JPT_2024-04-19_nrt
2024-04-20 09:23:40	ga_s2bm_ard_3-2-1_56JNT_2024-04-19_final
2024-04-23 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2024-04-23_final
2024-04-23 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2024-04-23_final
2024-04-23 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-04-23_final
2024-04-23 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2024-04-23_final
2024-04-23 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2024-04-23_final
2024-04-24 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2024-04-24_final
2024-04-24 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2024-04-24_final
2024-04-24 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2024-04-24_final
2024-04-24 10:44:12	ga_s2bm_ard_3-2-1_53JLN_2024-04-24_final
2024-04-25 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2024-04-25_final
2024-04-25 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2024-04-25_final
2024-04-25 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2024-04-25_final
2024-04-25 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2024-04-25_final
2024-04-28 10:24:03	ga_s2bm_ard_3-2-1_54JTT_2024-04-28_final
2024-04-29 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2024-04-29_final
2024-04-29 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2024-04-29_final
2024-04-29 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2024-04-29_final
2024-04-29 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2024-04-29_final
2024-04-29 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2024-04-29_final
2024-04-30 11:04:11	ga_s2bm_ard_3-2-1_52JGT_2024-04-30_final
2024-04-30 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2024-04-30_final
2024-04-30 11:04:18	ga_s2bm_ard_3-2-1_52JET_2024-04-30_final
2024-04-30 11:04:21	ga_s2bm_ard_3-2-1_52JDT_2024-04-30_final
2024-05-01 10:33:52	ga_s2bm_ard_3-2-1_54JUT_2024-05-01_final
2024-05-01 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2024-05-01_final
2024-05-01 10:34:00	ga_s2bm_ard_3-2-1_54JTT_2024-05-01_final
2024-05-01 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-05-01_final
2024-05-01 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2024-05-01_final
2024-05-01 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2024-05-01_final
2024-05-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-05-01_final
2024-05-01 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2024-05-01_final
2024-05-02 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2024-05-02_final
2024-05-02 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2024-05-02_final
2024-05-02 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2024-05-02_final
2024-05-02 10:03:53	ga_s2bm_ard_3-2-1_55JBN_2024-05-02_final
2024-05-02 10:03:56	ga_s2bm_ard_3-2-1_54JYT_2024-05-02_final
2024-05-03 09:33:30	ga_s2bm_ard_3-2-1_56JPT_2024-05-03_nrt
2024-05-03 09:33:36	ga_s2bm_ard_3-2-1_56JNT_2024-05-03_final
2024-05-03 09:33:39	ga_s2bm_ard_3-2-1_56JMT_2024-05-03_final
2024-05-03 09:33:43	ga_s2bm_ard_3-2-1_56JLT_2024-05-03_final
2024-05-05 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2024-05-05_final
2024-05-05 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2024-05-05_final
2024-05-05 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2024-05-05_final
2024-05-08 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2024-05-08_final
2024-05-08 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2024-05-08_final
2024-05-08 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-05-08_final
2024-05-08 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2024-05-08_final
2024-05-08 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-05-08_final
2024-05-09 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2024-05-09_final
2024-05-09 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2024-05-09_final
2024-05-09 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2024-05-09_final
2024-05-09 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2024-05-09_final

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