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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLJ_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLK_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMK_2017-09-09_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HUE_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HVE_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HWE_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HXE_2017-09-10_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HWK_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_55HBD_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_55HBE_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HXJ_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HXK_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HYJ_2017-09-16_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HYK_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMK_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNK_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPJ_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPK_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQJ_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQK_2017-09-16_final.stac-item
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HMK_2017-09-19_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTD_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTE_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUD_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUE_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPK_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HVE_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQJ_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2017-09-23_final.stac-item
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_56HLK_2017-09-23_final.stac-item
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_56HMK_2017-09-23_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLJ_2017-09-29_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLK_2017-09-29_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HMK_2017-09-29_final.stac-item
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52HBK_2017-10-04_final.stac-item
2020-04-30 11:36:19	ga_s2bm_ard_3-2-1_51HVE_2020-04-30_final.stac-item
2020-04-30 11:36:24	ga_s2bm_ard_3-2-1_51HUE_2020-04-30_final.stac-item
2020-04-30 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2020-04-30_final.stac-item
2020-04-30 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-04-30_final.stac-item
2020-04-30 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-04-30_final.stac-item
2020-04-30 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-04-30_final.stac-item
2020-04-30 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2020-04-30_final.stac-item
2020-04-30 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2020-04-30_final.stac-item
2020-04-30 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-04-30_final.stac-item
2020-05-01 09:25:36	ga_s2bm_ard_3-2-1_56HMK_2020-04-30_final.stac-item
2020-05-01 09:25:39	ga_s2bm_ard_3-2-1_56HLK_2020-04-30_final.stac-item
2020-05-02 10:35:59	ga_s2bm_ard_3-2-1_53HPE_2020-05-02_final.stac-item
2020-05-02 10:36:03	ga_s2bm_ard_3-2-1_53HNE_2020-05-02_final.stac-item
2020-05-02 10:36:07	ga_s2bm_ard_3-2-1_53HME_2020-05-02_final.stac-item
2020-05-02 10:36:13	ga_s2bm_ard_3-2-1_53HLE_2020-05-02_final.stac-item
2020-05-02 10:36:14	ga_s2bm_ard_3-2-1_53HPD_2020-05-02_final.stac-item
2020-05-10 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2020-05-10_final.stac-item
2020-05-10 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2020-05-10_final.stac-item
2020-05-10 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2020-05-10_final.stac-item
2020-05-10 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2020-05-10_final.stac-item
2020-05-13 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2020-05-13_final.stac-item
2020-05-13 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2020-05-13_final.stac-item
2020-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2020-05-13_final.stac-item
2020-05-16 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2020-05-16_final.stac-item
2020-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2020-05-16_final.stac-item
2020-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-05-16_final.stac-item
2020-05-19 10:25:57	ga_s2bm_ard_3-2-1_54HUK_2020-05-19_final.stac-item
2020-05-21 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2020-05-21_final.stac-item
2020-05-23 10:05:50	ga_s2bm_ard_3-2-1_55HBE_2020-05-23_final.stac-item
2020-05-23 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2020-05-23_final.stac-item
2020-05-23 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2020-05-23_final.stac-item
2020-05-23 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2020-05-23_final.stac-item
2020-05-23 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2020-05-23_final.stac-item
2020-05-23 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2020-05-23_final.stac-item
2020-05-23 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2020-05-23_final.stac-item
2020-05-24 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2020-05-24_final.stac-item
2020-05-24 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2020-05-24_final.stac-item
2020-05-24 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2020-05-24_final.stac-item
2020-05-24 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2020-05-24_final.stac-item
2020-05-24 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2020-05-24_final.stac-item
2020-05-24 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2020-05-24_final.stac-item
2020-05-25 10:46:07	ga_s2bm_ard_3-2-1_53HME_2020-05-25_final.stac-item
2020-05-25 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2020-05-25_final.stac-item
2020-05-25 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2020-05-25_final.stac-item
2020-05-26 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2020-05-26_final.stac-item
2020-05-26 10:15:56	ga_s2bm_ard_3-2-1_54HWK_2020-05-26_final.stac-item
2020-05-26 10:15:59	ga_s2bm_ard_3-2-1_54HVK_2020-05-26_final.stac-item
2020-05-26 10:16:03	ga_s2bm_ard_3-2-1_54HUK_2020-05-26_final.stac-item
2020-05-30 09:55:44	ga_s2bm_ard_3-2-1_55HEE_2020-05-30_final.stac-item
2020-05-30 09:55:48	ga_s2bm_ard_3-2-1_55HDE_2020-05-30_final.stac-item
2020-05-30 09:55:52	ga_s2bm_ard_3-2-1_55HCE_2020-05-30_final.stac-item
2020-05-30 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2020-05-30_final.stac-item
2020-05-30 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2020-05-30_final.stac-item
2020-05-30 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2020-05-30_final.stac-item
2020-05-30 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2020-05-30_final.stac-item
2020-05-30 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2020-05-30_final.stac-item
2020-06-01 10:36:18	ga_s2bm_ard_3-2-1_53HLE_2020-06-01_final.stac-item
2020-06-09 09:55:45	ga_s2bm_ard_3-2-1_55HEE_2020-06-09_final.stac-item
2020-06-09 09:55:49	ga_s2bm_ard_3-2-1_55HDE_2020-06-09_final.stac-item
2020-06-09 09:55:52	ga_s2bm_ard_3-2-1_55HCE_2020-06-09_final.stac-item
2020-06-09 09:55:56	ga_s2bm_ard_3-2-1_55HBE_2020-06-09_final.stac-item
2020-06-09 09:55:59	ga_s2bm_ard_3-2-1_54HYK_2020-06-09_final.stac-item
2020-06-09 09:56:07	ga_s2bm_ard_3-2-1_55HCD_2020-06-09_final.stac-item
2020-06-09 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2020-06-09_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