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
2018-11-27 09:55:39	ga_s2bm_ard_3-2-1_55HEE_2018-11-27_final.stac-item
2018-11-27 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2018-11-27_final.stac-item
2018-11-27 09:55:46	ga_s2bm_ard_3-2-1_55HCE_2018-11-27_final.stac-item
2018-11-27 09:55:50	ga_s2bm_ard_3-2-1_55HBE_2018-11-27_final.stac-item
2018-11-27 09:55:53	ga_s2bm_ard_3-2-1_54HYK_2018-11-27_final.stac-item
2018-11-27 09:55:57	ga_s2bm_ard_3-2-1_55HDD_2018-11-27_final.stac-item
2018-11-27 09:56:01	ga_s2bm_ard_3-2-1_55HCD_2018-11-27_final.stac-item
2018-11-27 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2018-11-27_final.stac-item
2018-11-27 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2018-11-27_final.stac-item
2018-12-02 10:46:05	ga_s2bm_ard_3-2-1_53HLE_2018-12-02_final.stac-item
2018-12-02 10:46:16	ga_s2bm_ard_3-2-1_53HMD_2018-12-02_final.stac-item
2018-12-02 10:46:19	ga_s2bm_ard_3-2-1_53HLD_2018-12-02_final.stac-item
2018-12-04 11:26:17	ga_s2bm_ard_3-2-1_51HXE_2018-12-04_final.stac-item
2018-12-04 11:26:21	ga_s2bm_ard_3-2-1_51HWE_2018-12-04_final.stac-item
2018-12-04 11:26:24	ga_s2bm_ard_3-2-1_51HVE_2018-12-04_final.stac-item
2018-12-04 11:26:27	ga_s2bm_ard_3-2-1_51HUE_2018-12-04_final.stac-item
2018-12-04 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2018-12-04_final.stac-item
2018-12-04 11:26:35	ga_s2bm_ard_3-2-1_51HWD_2018-12-04_final.stac-item
2018-12-04 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2018-12-04_final.stac-item
2018-12-04 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2018-12-04_final.stac-item
2018-12-06 10:25:56	ga_s2bm_ard_3-2-1_54HTK_2018-12-06_final.stac-item
2018-12-06 10:26:02	ga_s2bm_ard_3-2-1_53HPE_2018-12-06_final.stac-item
2018-12-06 10:26:10	ga_s2bm_ard_3-2-1_54HTJ_2018-12-06_final.stac-item
2018-12-06 10:26:16	ga_s2bm_ard_3-2-1_53HPD_2018-12-06_final.stac-item
2018-12-08 11:06:18	ga_s2bm_ard_3-2-1_52HBK_2018-12-08_final.stac-item
2018-12-08 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2018-12-08_final.stac-item
2018-12-09 10:35:57	ga_s2bm_ard_3-2-1_53HPE_2018-12-09_final.stac-item
2018-12-09 10:36:01	ga_s2bm_ard_3-2-1_53HNE_2018-12-09_final.stac-item
2018-12-09 10:36:04	ga_s2bm_ard_3-2-1_53HME_2018-12-09_final.stac-item
2018-12-09 10:36:11	ga_s2bm_ard_3-2-1_53HLE_2018-12-09_final.stac-item
2018-12-09 10:36:11	ga_s2bm_ard_3-2-1_53HPD_2018-12-09_final.stac-item
2018-12-09 10:36:15	ga_s2bm_ard_3-2-1_53HND_2018-12-09_final.stac-item
2018-12-09 10:36:19	ga_s2bm_ard_3-2-1_53HMD_2018-12-09_final.stac-item
2018-12-09 10:36:22	ga_s2bm_ard_3-2-1_53HLD_2018-12-09_final.stac-item
2018-12-16 10:25:52	ga_s2bm_ard_3-2-1_54HUK_2018-12-16_final.stac-item
2018-12-16 10:25:55	ga_s2bm_ard_3-2-1_54HTK_2018-12-16_final.stac-item
2018-12-16 10:25:57	ga_s2bm_ard_3-2-1_53HQE_2018-12-16_final.stac-item
2018-12-16 10:26:01	ga_s2bm_ard_3-2-1_53HPE_2018-12-16_final.stac-item
2018-12-16 10:26:06	ga_s2bm_ard_3-2-1_54HUJ_2018-12-16_final.stac-item
2018-12-16 10:26:10	ga_s2bm_ard_3-2-1_54HTJ_2018-12-16_final.stac-item
2018-12-16 10:26:12	ga_s2bm_ard_3-2-1_53HQD_2018-12-16_final.stac-item
2018-12-16 10:26:16	ga_s2bm_ard_3-2-1_53HPD_2018-12-16_final.stac-item
2018-12-29 10:36:18	ga_s2bm_ard_3-2-1_53HND_2018-12-29_final.stac-item
2018-12-29 10:36:21	ga_s2bm_ard_3-2-1_53HMD_2018-12-29_final.stac-item
2018-12-29 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2018-12-29_final.stac-item
2019-01-05 10:25:56	ga_s2bm_ard_3-2-1_54HUK_2019-01-05_final.stac-item
2019-01-05 10:25:59	ga_s2bm_ard_3-2-1_54HTK_2019-01-05_final.stac-item
2019-01-05 10:26:02	ga_s2bm_ard_3-2-1_53HQE_2019-01-05_final.stac-item
2019-01-05 10:26:05	ga_s2bm_ard_3-2-1_53HPE_2019-01-05_final.stac-item
2019-01-05 10:26:11	ga_s2bm_ard_3-2-1_54HUJ_2019-01-05_final.stac-item
2019-01-05 10:26:14	ga_s2bm_ard_3-2-1_54HTJ_2019-01-05_final.stac-item
2019-01-05 10:26:16	ga_s2bm_ard_3-2-1_53HQD_2019-01-05_final.stac-item
2019-01-05 10:26:20	ga_s2bm_ard_3-2-1_53HPD_2019-01-05_final.stac-item
2019-07-25 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-25_final.stac-item
2019-07-25 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-07-25_final.stac-item
2019-07-26 09:25:48	ga_s2bm_ard_3-2-1_56HMK_2019-07-25_final.stac-item
2019-07-26 09:25:51	ga_s2bm_ard_3-2-1_56HLK_2019-07-25_final.stac-item
2019-07-26 09:26:02	ga_s2bm_ard_3-2-1_56HMJ_2019-07-25_final.stac-item
2019-07-26 09:26:06	ga_s2bm_ard_3-2-1_56HLJ_2019-07-25_final.stac-item
2019-07-27 10:36:11	ga_s2bm_ard_3-2-1_53HPE_2019-07-27_final.stac-item
2019-07-27 10:36:15	ga_s2bm_ard_3-2-1_53HNE_2019-07-27_final.stac-item
2019-07-27 10:36:18	ga_s2bm_ard_3-2-1_53HME_2019-07-27_final.stac-item
2019-07-27 10:36:25	ga_s2bm_ard_3-2-1_53HLE_2019-07-27_final.stac-item
2019-07-27 10:36:25	ga_s2bm_ard_3-2-1_53HPD_2019-07-27_final.stac-item
2019-07-27 10:36:29	ga_s2bm_ard_3-2-1_53HND_2019-07-27_final.stac-item
2019-07-27 10:36:33	ga_s2bm_ard_3-2-1_53HMD_2019-07-27_final.stac-item
2019-07-27 10:36:37	ga_s2bm_ard_3-2-1_53HLD_2019-07-27_final.stac-item
2019-08-04 11:36:31	ga_s2bm_ard_3-2-1_51HVE_2019-08-04_final.stac-item
2019-08-04 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2019-08-04_final.stac-item
2019-08-04 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-08-04_final.stac-item
2019-08-04 11:36:41	ga_s2bm_ard_3-2-1_51HVD_2019-08-04_final.stac-item
2019-08-04 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-08-04_final.stac-item
2019-08-04 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-08-04_final.stac-item
2019-08-04 11:36:50	ga_s2bm_ard_3-2-1_51HUD_2019-08-04_final.stac-item
2019-08-04 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-08-04_final.stac-item
2019-08-04 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-08-04_final.stac-item
2019-08-04 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-08-04_final.stac-item
2019-08-08 11:16:51	ga_s2bm_ard_3-2-1_51HWD_2019-08-08_final.stac-item
2019-08-14 11:36:30	ga_s2bm_ard_3-2-1_51HVE_2019-08-14_final.stac-item
2019-08-14 11:36:35	ga_s2bm_ard_3-2-1_51HUE_2019-08-14_final.stac-item
2019-08-14 11:36:38	ga_s2bm_ard_3-2-1_51HTE_2019-08-14_final.stac-item
2019-08-14 11:36:40	ga_s2bm_ard_3-2-1_51HVD_2019-08-14_final.stac-item
2019-08-14 11:36:40	ga_s2bm_ard_3-2-1_50HQK_2019-08-14_final.stac-item
2019-08-14 11:36:44	ga_s2bm_ard_3-2-1_50HPK_2019-08-14_final.stac-item
2019-08-14 11:36:49	ga_s2bm_ard_3-2-1_51HUD_2019-08-14_final.stac-item
2019-08-14 11:36:53	ga_s2bm_ard_3-2-1_51HTD_2019-08-14_final.stac-item
2019-08-14 11:36:55	ga_s2bm_ard_3-2-1_50HQJ_2019-08-14_final.stac-item
2019-08-14 11:36:58	ga_s2bm_ard_3-2-1_50HPJ_2019-08-14_final.stac-item
2019-08-17 11:46:36	ga_s2bm_ard_3-2-1_50HQK_2019-08-17_final.stac-item
2019-08-17 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-08-17_final.stac-item
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final.stac-item
2020-01-05 09:35:30	ga_s2bm_ard_3-2-1_56HMK_2020-01-05_final.stac-item
2020-01-05 09:35:34	ga_s2bm_ard_3-2-1_56HLK_2020-01-05_final.stac-item
2020-01-05 09:35:37	ga_s2bm_ard_3-2-1_56HKK_2020-01-05_final.stac-item
2020-01-05 09:35:39	ga_s2bm_ard_3-2-1_55HGE_2020-01-05_final.stac-item
2020-01-05 09:35:43	ga_s2bm_ard_3-2-1_56HMJ_2020-01-05_final.stac-item
2020-01-05 09:35:45	ga_s2bm_ard_3-2-1_55HFE_2020-01-05_final.stac-item
2020-01-05 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2020-01-05_final.stac-item
2020-01-05 09:35:52	ga_s2bm_ard_3-2-1_56HKJ_2020-01-05_final.stac-item
2020-01-05 09:35:53	ga_s2bm_ard_3-2-1_55HGD_2020-01-05_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