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
2021-03-02 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-03-02_final.stac-item
2021-03-05 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-03-05_final.stac-item
2021-03-08 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-03-08_final.stac-item
2021-03-08 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2021-03-08_final.stac-item
2021-03-12 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-03-12_final.stac-item
2021-03-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-03-15_final.stac-item
2021-03-18 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2021-03-18_final.stac-item
2021-03-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-03-18_final.stac-item
2021-03-22 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-03-22_final.stac-item
2021-04-01 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2021-04-01_final.stac-item
2021-04-01 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-04-01_final.stac-item
2021-04-01 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-04-01_final.stac-item
2021-04-01 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-04-01_final.stac-item
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final.stac-item
2021-04-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final.stac-item
2021-04-04 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final.stac-item
2021-04-04 12:04:42	ga_s2bm_ard_3-2-1_50JMS_2021-04-04_final.stac-item
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-04-04_final.stac-item
2021-04-04 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2021-04-04_final.stac-item
2021-04-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2021-04-04_final.stac-item
2021-04-04 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2021-04-04_final.stac-item
2021-04-04 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-04-04_final.stac-item
2021-04-07 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2021-04-07_final.stac-item
2021-04-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-04-07_final.stac-item
2021-04-08 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2021-04-08_final.stac-item
2021-04-08 11:45:58	ga_s2bm_ard_3-2-1_50JNM_2021-04-08_final.stac-item
2021-04-11 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2021-04-11_final.stac-item
2021-04-11 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-04-11_final.stac-item
2021-04-11 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-04-11_final.stac-item
2021-04-11 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2021-04-11_final.stac-item
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final.stac-item
2021-04-14 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final.stac-item
2021-04-14 12:04:41	ga_s2bm_ard_3-2-1_50JMS_2021-04-14_final.stac-item
2021-04-14 12:04:44	ga_s2bm_ard_3-2-1_49JHM_2021-04-14_final.stac-item
2021-04-14 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-04-14_final.stac-item
2021-04-14 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-04-14_final.stac-item
2021-04-14 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-04-14_final.stac-item
2021-04-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-04-14_final.stac-item
2021-04-17 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2021-04-17_final.stac-item
2021-04-17 12:14:41	ga_s2bm_ard_3-2-1_49JFN_2021-04-17_final.stac-item
2021-04-18 11:45:56	ga_s2bm_ard_3-2-1_50JNM_2021-04-18_final.stac-item
2021-04-21 11:54:49	ga_s2bm_ard_3-2-1_50JMS_2021-04-21_final.stac-item
2021-04-21 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2021-04-21_final.stac-item
2021-04-21 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-04-21_final.stac-item
2021-04-21 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2021-04-21_final.stac-item
2021-04-24 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-04-24_final.stac-item
2021-04-24 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2021-04-24_final.stac-item
2021-04-24 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2021-04-24_final.stac-item
2021-04-24 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-04-24_final.stac-item
2021-04-24 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2021-04-24_final.stac-item
2021-04-27 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-04-27_final.stac-item
2021-04-27 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-04-27_final.stac-item
2021-05-01 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2021-05-01_final.stac-item
2021-05-01 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-01_final.stac-item
2021-05-01 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-01_final.stac-item
2021-05-01 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2021-05-01_final.stac-item
2021-05-04 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-05-04_final.stac-item
2021-05-04 12:04:18	ga_s2bm_ard_3-2-1_49KHP_2021-05-04_final.stac-item
2021-05-04 12:04:41	ga_s2bm_ard_3-2-1_50JMS_2021-05-04_final.stac-item
2021-05-04 12:04:44	ga_s2bm_ard_3-2-1_49JHM_2021-05-04_final.stac-item
2021-05-04 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2021-05-04_final.stac-item
2021-05-04 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-04_final.stac-item
2021-05-04 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-05-04_final.stac-item
2021-05-04 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-05-04_final.stac-item
2021-05-07 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-07_final.stac-item
2021-05-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-05-07_final.stac-item
2021-05-11 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2021-05-11_final.stac-item
2021-05-11 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-05-11_final.stac-item
2021-05-11 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2021-05-11_final.stac-item
2021-05-11 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2021-05-11_final.stac-item
2021-05-14 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final.stac-item
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final.stac-item
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final.stac-item
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final.stac-item
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final.stac-item
2021-05-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-05-14_final.stac-item
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final.stac-item
2021-05-14 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-05-14_final.stac-item
2021-05-17 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-17_final.stac-item
2021-05-18 11:46:01	ga_s2bm_ard_3-2-1_50JNM_2021-05-18_final.stac-item
2021-05-21 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2021-05-21_final.stac-item
2021-05-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-05-21_final.stac-item
2021-05-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-05-21_final.stac-item
2021-05-21 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2021-05-21_final.stac-item
2021-05-24 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-05-24_final.stac-item
2021-05-24 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2021-05-24_final.stac-item
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final.stac-item
2021-05-24 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-24_final.stac-item
2021-05-31 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-05-31_final.stac-item
2021-05-31 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-05-31_final.stac-item
2021-05-31 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-05-31_final.stac-item
2021-05-31 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-05-31_final.stac-item
2021-06-07 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-07_final.stac-item
2021-06-10 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-10_final.stac-item
2021-06-10 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-06-10_final.stac-item
2021-06-14 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-06-14_final.stac-item
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final.stac-item
2021-06-17 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-06-17_final.stac-item
2021-06-27 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-27_final.stac-item
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_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