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
2020-07-26 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2020-07-26_final.stac-item
2020-07-26 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2020-07-26_final.stac-item
2020-07-26 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2020-07-26_final.stac-item
2020-07-30 11:06:39	ga_s2bm_ard_3-2-1_51HYD_2020-07-30_final.stac-item
2020-07-31 10:36:09	ga_s2bm_ard_3-2-1_53HNE_2020-07-31_final.stac-item
2020-07-31 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-07-31_final.stac-item
2020-07-31 10:36:19	ga_s2bm_ard_3-2-1_53HLE_2020-07-31_final.stac-item
2020-07-31 10:36:20	ga_s2bm_ard_3-2-1_53HPD_2020-07-31_final.stac-item
2020-07-31 10:36:24	ga_s2bm_ard_3-2-1_53HND_2020-07-31_final.stac-item
2020-07-31 10:36:27	ga_s2bm_ard_3-2-1_53HMD_2020-07-31_final.stac-item
2020-08-01 10:06:02	ga_s2bm_ard_3-2-1_54HWK_2020-08-01_final.stac-item
2020-08-01 10:06:07	ga_s2bm_ard_3-2-1_55HBD_2020-08-01_final.stac-item
2020-08-01 10:06:09	ga_s2bm_ard_3-2-1_54HYJ_2020-08-01_final.stac-item
2020-08-01 10:06:13	ga_s2bm_ard_3-2-1_54HXJ_2020-08-01_final.stac-item
2020-08-01 10:06:17	ga_s2bm_ard_3-2-1_54HWJ_2020-08-01_final.stac-item
2020-08-01 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-08-01_final.stac-item
2020-08-08 09:55:46	ga_s2bm_ard_3-2-1_55HEE_2020-08-08_final.stac-item
2020-08-08 09:55:50	ga_s2bm_ard_3-2-1_55HDE_2020-08-08_final.stac-item
2020-08-08 09:55:54	ga_s2bm_ard_3-2-1_55HCE_2020-08-08_final.stac-item
2020-08-08 09:55:58	ga_s2bm_ard_3-2-1_55HED_2020-08-08_final.stac-item
2020-08-08 09:56:05	ga_s2bm_ard_3-2-1_55HDD_2020-08-08_final.stac-item
2020-08-08 09:56:08	ga_s2bm_ard_3-2-1_55HCD_2020-08-08_final.stac-item
2020-08-08 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2020-08-08_final.stac-item
2020-08-08 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2020-08-08_final.stac-item
2021-09-25 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-09-25_final.stac-item
2021-09-25 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-09-25_final.stac-item
2021-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-09-25_final.stac-item
2021-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-09-25_final.stac-item
2021-09-25 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-09-25_final.stac-item
2021-09-25 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-09-25_final.stac-item
2021-09-27 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2021-09-27_final.stac-item
2021-09-27 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-09-27_final.stac-item
2021-09-28 10:15:54	ga_s2bm_ard_3-2-1_54HWK_2021-09-28_final.stac-item
2021-09-28 10:15:57	ga_s2bm_ard_3-2-1_54HVK_2021-09-28_final.stac-item
2021-09-28 10:15:59	ga_s2bm_ard_3-2-1_54HXJ_2021-09-28_final.stac-item
2021-09-28 10:16:01	ga_s2bm_ard_3-2-1_54HUK_2021-09-28_final.stac-item
2021-09-28 10:16:08	ga_s2bm_ard_3-2-1_54HWJ_2021-09-28_final.stac-item
2021-09-28 10:16:12	ga_s2bm_ard_3-2-1_54HVJ_2021-09-28_final.stac-item
2021-09-28 10:16:15	ga_s2bm_ard_3-2-1_54HUJ_2021-09-28_final.stac-item
2021-09-28 10:16:19	ga_s2bm_ard_3-2-1_54HTJ_2021-09-28_final.stac-item
2021-10-02 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2021-10-02_final.stac-item
2021-10-05 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2021-10-05_final.stac-item
2021-10-05 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2021-10-05_final.stac-item
2021-10-05 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2021-10-05_final.stac-item
2021-10-05 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2021-10-05_final.stac-item
2021-10-05 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2021-10-05_final.stac-item
2021-11-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-11-27_final.stac-item
2021-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-11-27_final.stac-item
2021-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-11-27_final.stac-item
2021-11-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-11-27_final.stac-item
2021-11-28 09:45:43	ga_s2bm_ard_3-2-1_55HEE_2021-11-28_final.stac-item
2021-11-28 09:45:46	ga_s2bm_ard_3-2-1_55HDE_2021-11-28_final.stac-item
2021-11-28 09:45:50	ga_s2bm_ard_3-2-1_55HGD_2021-11-28_final.stac-item
2021-11-28 09:45:54	ga_s2bm_ard_3-2-1_55HFD_2021-11-28_final.stac-item
2021-11-28 09:45:58	ga_s2bm_ard_3-2-1_55HED_2021-11-28_final.stac-item
2021-11-28 09:46:01	ga_s2bm_ard_3-2-1_55HDD_2021-11-28_final.stac-item
2021-12-01 09:55:42	ga_s2bm_ard_3-2-1_55HDE_2021-12-01_final.stac-item
2021-12-01 09:55:46	ga_s2bm_ard_3-2-1_55HCE_2021-12-01_final.stac-item
2021-12-01 09:55:50	ga_s2bm_ard_3-2-1_55HED_2021-12-01_final.stac-item
2021-12-01 09:55:57	ga_s2bm_ard_3-2-1_55HDD_2021-12-01_final.stac-item
2021-12-01 09:56:00	ga_s2bm_ard_3-2-1_55HCD_2021-12-01_final.stac-item
2021-12-01 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2021-12-01_final.stac-item
2021-12-01 09:56:05	ga_s2bm_ard_3-2-1_54HYJ_2021-12-01_final.stac-item
2021-12-02 11:06:13	ga_s2bm_ard_3-2-1_52HDK_2021-12-02_final
2021-12-02 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2021-12-02_final
2021-12-02 11:06:32	ga_s2bm_ard_3-2-1_51HYD_2021-12-02_final.stac-item
2021-12-03 10:36:06	ga_s2bm_ard_3-2-1_53HME_2021-12-03_final.stac-item
2021-12-03 10:36:12	ga_s2bm_ard_3-2-1_53HLE_2021-12-03_final.stac-item
2021-12-03 10:36:13	ga_s2bm_ard_3-2-1_53HPD_2021-12-03_final.stac-item
2021-12-03 10:36:17	ga_s2bm_ard_3-2-1_53HND_2021-12-03_final.stac-item
2021-12-03 10:36:20	ga_s2bm_ard_3-2-1_53HMD_2021-12-03_final.stac-item
2021-12-03 10:36:24	ga_s2bm_ard_3-2-1_53HLD_2021-12-03_final.stac-item
2021-12-05 09:35:30	ga_s2bm_ard_3-2-1_56HMK_2021-12-05_final.stac-item
2021-12-05 09:35:34	ga_s2bm_ard_3-2-1_56HLK_2021-12-05_final.stac-item
2021-12-05 09:35:43	ga_s2bm_ard_3-2-1_56HMJ_2021-12-05_final.stac-item
2021-12-05 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2021-12-05_final.stac-item
2021-12-05 09:35:52	ga_s2bm_ard_3-2-1_56HKJ_2021-12-05_final.stac-item
2021-12-05 09:35:54	ga_s2bm_ard_3-2-1_55HGD_2021-12-05_final.stac-item
2021-12-05 09:35:57	ga_s2bm_ard_3-2-1_55HFD_2021-12-05_final.stac-item
2021-12-15 11:16:38	ga_s2bm_ard_3-2-1_51HWD_2021-12-15_final.stac-item
2021-12-17 10:15:49	ga_s2bm_ard_3-2-1_54HWK_2021-12-17_final.stac-item
2021-12-17 10:15:52	ga_s2bm_ard_3-2-1_54HVK_2021-12-17_final.stac-item
2021-12-17 10:15:54	ga_s2bm_ard_3-2-1_54HXJ_2021-12-17_final.stac-item
2021-12-17 10:15:56	ga_s2bm_ard_3-2-1_54HUK_2021-12-17_final.stac-item
2021-12-17 10:16:00	ga_s2bm_ard_3-2-1_54HWJ_2021-12-17_final.stac-item
2021-12-17 10:16:02	ga_s2bm_ard_3-2-1_54HVJ_2021-12-17_final.stac-item
2021-12-17 10:16:04	ga_s2bm_ard_3-2-1_54HUJ_2021-12-17_final.stac-item
2021-12-17 10:16:06	ga_s2bm_ard_3-2-1_54HTJ_2021-12-17_final.stac-item
2021-12-17 10:16:11	ga_s2bm_ard_3-2-1_54HUJ_2021-12-17_final.stac-item
2021-12-17 10:16:14	ga_s2bm_ard_3-2-1_54HTJ_2021-12-17_final.stac-item
2021-12-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2021-12-17_final.stac-item
2021-12-18 09:45:42	ga_s2bm_ard_3-2-1_55HEE_2021-12-18_final.stac-item
2021-12-18 09:45:45	ga_s2bm_ard_3-2-1_55HDE_2021-12-18_final.stac-item
2021-12-18 09:45:48	ga_s2bm_ard_3-2-1_55HGD_2021-12-18_final.stac-item
2021-12-18 09:45:52	ga_s2bm_ard_3-2-1_55HFD_2021-12-18_final.stac-item
2021-12-18 09:45:56	ga_s2bm_ard_3-2-1_55HED_2021-12-18_final.stac-item
2021-12-18 09:46:00	ga_s2bm_ard_3-2-1_55HDD_2021-12-18_final.stac-item
2021-12-22 09:25:34	ga_s2bm_ard_3-2-1_56HMK_2021-12-21_final.stac-item
2021-12-22 09:25:37	ga_s2bm_ard_3-2-1_56HLK_2021-12-21_final.stac-item
2021-12-22 09:25:49	ga_s2bm_ard_3-2-1_56HMJ_2021-12-21_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