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
2019-07-05 11:35:27	ga_s2bm_ard_3-2-1_51JTK_2019-07-05_final.stac-item
2019-07-05 11:35:42	ga_s2bm_ard_3-2-1_51JTJ_2019-07-05_final.stac-item
2019-07-05 11:35:46	ga_s2bm_ard_3-2-1_50JQP_2019-07-05_final.stac-item
2019-07-05 11:35:57	ga_s2bm_ard_3-2-1_51JTH_2019-07-05_final.stac-item
2019-07-05 11:35:59	ga_s2bm_ard_3-2-1_50JQN_2019-07-05_final.stac-item
2019-07-05 11:36:11	ga_s2bm_ard_3-2-1_51JTG_2019-07-05_final.stac-item
2019-07-05 11:36:14	ga_s2bm_ard_3-2-1_50JQM_2019-07-05_final.stac-item
2019-07-05 11:36:26	ga_s2bm_ard_3-2-1_51JTF_2019-07-05_final.stac-item
2019-07-05 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-07-05_final.stac-item
2019-07-05 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-05_final.stac-item
2019-07-08 11:43:13	ga_s2bm_ard_3-2-1_50KRD_2019-07-08_final.stac-item
2019-07-15 11:35:28	ga_s2bm_ard_3-2-1_51JTK_2019-07-15_final.stac-item
2019-07-15 11:35:42	ga_s2bm_ard_3-2-1_51JTJ_2019-07-15_final.stac-item
2019-07-15 11:35:46	ga_s2bm_ard_3-2-1_50JQP_2019-07-15_final.stac-item
2019-07-15 11:35:57	ga_s2bm_ard_3-2-1_51JTH_2019-07-15_final.stac-item
2019-07-15 11:35:59	ga_s2bm_ard_3-2-1_50JQN_2019-07-15_final.stac-item
2019-07-15 11:36:11	ga_s2bm_ard_3-2-1_51JTG_2019-07-15_final.stac-item
2019-07-15 11:36:14	ga_s2bm_ard_3-2-1_50JQM_2019-07-15_final.stac-item
2019-07-15 11:36:26	ga_s2bm_ard_3-2-1_51JTF_2019-07-15_final.stac-item
2019-07-15 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-07-15_final.stac-item
2019-07-15 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-15_final.stac-item
2019-07-15 11:36:43	ga_s2bm_ard_3-2-1_50HQK_2019-07-15_final.stac-item
2019-07-15 11:36:55	ga_s2bm_ard_3-2-1_51HTD_2019-07-15_final.stac-item
2019-07-15 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-15_final.stac-item
2019-07-15 11:37:10	ga_s2bm_ard_3-2-1_51HTC_2019-07-15_final.stac-item
2019-07-31 11:53:07	ga_s2bm_ard_3-2-1_50KRD_2019-07-31_final.stac-item
2019-07-31 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-07-31_final.stac-item
2019-08-10 11:53:06	ga_s2bm_ard_3-2-1_50KRD_2019-08-10_final.stac-item
2019-08-10 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-08-10_final.stac-item
2024-05-05 11:50:35	ga_s2bm_ard_3-2-1_50LRP_2024-05-05_nrt
2024-05-05 11:50:50	ga_s2bm_ard_3-2-1_50LRN_2024-05-05_nrt
2024-05-05 11:51:04	ga_s2bm_ard_3-2-1_50LRM_2024-05-05_nrt
2024-05-05 11:51:19	ga_s2bm_ard_3-2-1_50LRL_2024-05-05_nrt
2024-05-05 11:51:33	ga_s2bm_ard_3-2-1_50LRK_2024-05-05_nrt
2024-05-05 11:51:48	ga_s2bm_ard_3-2-1_50LRJ_2024-05-05_nrt
2024-05-05 11:52:02	ga_s2bm_ard_3-2-1_50LRH_2024-05-05_nrt
2024-05-05 11:52:16	ga_s2bm_ard_3-2-1_50KRG_2024-05-05_nrt
2024-05-05 11:52:31	ga_s2bm_ard_3-2-1_50KRF_2024-05-05_nrt
2024-05-05 11:52:45	ga_s2bm_ard_3-2-1_50KRE_2024-05-05_nrt
2024-05-05 11:52:53	ga_s2bm_ard_3-2-1_50KRE_2024-05-05_nrt
2024-05-09 11:37:29	ga_s2bm_ard_3-2-1_50HQF_2024-05-09_nrt
2024-05-12 11:42:50	ga_s2bm_ard_3-2-1_50KRE_2024-05-12_interim
2024-05-12 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-05-12_interim
2024-05-12 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-05-12_interim
2024-05-12 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2024-05-12_interim
2024-05-12 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2024-05-12_interim
2024-05-12 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2024-05-12_interim
2024-05-15 11:52:00	ga_s2bm_ard_3-2-1_50LRH_2024-05-15_nrt
2024-05-15 11:52:14	ga_s2bm_ard_3-2-1_50KRG_2024-05-15_nrt
2024-05-15 11:52:29	ga_s2bm_ard_3-2-1_50KRF_2024-05-15_nrt
2024-05-15 11:52:44	ga_s2bm_ard_3-2-1_50KRE_2024-05-15_nrt
2024-05-15 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2024-05-15_nrt
2024-05-15 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-05-15_nrt
2024-05-19 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2024-05-19_nrt
2024-05-19 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2024-05-19_nrt
2024-05-19 11:35:46	ga_s2bm_ard_3-2-1_51JTH_2024-05-19_nrt
2024-05-19 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2024-05-19_nrt
2024-05-19 11:36:01	ga_s2bm_ard_3-2-1_51JTG_2024-05-19_nrt
2024-05-19 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2024-05-19_nrt
2024-05-19 11:36:16	ga_s2bm_ard_3-2-1_51JTF_2024-05-19_nrt
2024-05-19 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2024-05-19_nrt
2024-05-19 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2024-05-19_nrt
2024-05-19 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-05-19_nrt
2024-05-19 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2024-05-19_nrt
2024-05-19 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-05-19_nrt
2024-05-19 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2024-05-19_nrt
2024-05-19 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2024-05-19_nrt
2024-05-19 11:37:14	ga_s2bm_ard_3-2-1_51HTB_2024-05-19_nrt
2024-05-19 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-05-19_nrt
2024-05-19 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2024-05-19_nrt
2024-05-19 11:37:27	ga_s2bm_ard_3-2-1_50HQF_2024-05-19_nrt
2024-05-22 11:42:49	ga_s2bm_ard_3-2-1_50KRE_2024-05-22_nrt
2024-05-22 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-05-22_nrt
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRD_2024-05-22_nrt
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2024-05-22_nrt
2024-05-22 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2024-05-22_nrt
2024-05-22 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2024-05-22_nrt
2024-05-22 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2024-05-22_nrt
2024-05-22 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2024-05-22_nrt
2024-05-22 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2024-05-22_nrt
2024-05-22 11:44:19	ga_s2bm_ard_3-2-1_50KQU_2024-05-22_nrt
2024-05-22 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2024-05-22_nrt
2024-05-22 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2024-05-22_nrt
2024-05-22 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2024-05-22_nrt
2024-05-22 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2024-05-22_nrt
2024-05-22 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2024-05-22_nrt
2024-05-22 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2024-05-22_nrt
2024-05-22 11:44:59	ga_s2bm_ard_3-2-1_51JTL_2024-05-22_nrt
2024-05-22 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2024-05-22_nrt
2024-05-22 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2024-05-22_nrt
2024-05-22 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2024-05-22_nrt
2024-05-22 11:45:21	ga_s2bm_ard_3-2-1_51JTK_2024-05-22_nrt
2024-05-22 11:45:21	ga_s2bm_ard_3-2-1_51JTJ_2024-05-22_nrt
2024-05-22 11:45:22	ga_s2bm_ard_3-2-1_50JQP_2024-05-22_nrt
2024-05-22 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2024-05-22_nrt
2024-05-22 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2024-05-22_nrt
2024-05-22 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2024-05-22_nrt
2024-05-22 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2024-05-22_nrt
2024-05-22 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2024-05-22_nrt
2024-05-22 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2024-05-22_nrt

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