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
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_54HUJ_2017-09-12_final.stac-item
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HWJ_2017-09-26_final.stac-item
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_55HBD_2017-09-26_final.stac-item
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HXJ_2017-09-26_final.stac-item
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HYJ_2017-09-26_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_56HKJ_2017-09-27_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_56HLJ_2017-09-27_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_56HMJ_2017-09-27_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HFD_2017-09-27_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HGD_2017-09-27_final.stac-item
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HTJ_2017-10-09_final.stac-item
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HUJ_2017-10-09_final.stac-item
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HVJ_2017-10-09_final.stac-item
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HWJ_2017-10-09_final.stac-item
2019-08-07 10:06:11	ga_s2bm_ard_3-2-1_55HBD_2019-08-07_final.stac-item
2019-08-07 10:06:13	ga_s2bm_ard_3-2-1_54HYJ_2019-08-07_final.stac-item
2019-08-07 10:06:17	ga_s2bm_ard_3-2-1_54HXJ_2019-08-07_final.stac-item
2019-08-07 10:06:21	ga_s2bm_ard_3-2-1_54HWJ_2019-08-07_final.stac-item
2019-08-10 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-08-10_final.stac-item
2019-08-11 09:46:01	ga_s2bm_ard_3-2-1_55HGD_2019-08-11_final.stac-item
2019-08-11 09:46:05	ga_s2bm_ard_3-2-1_55HFD_2019-08-11_final.stac-item
2019-08-11 11:26:43	ga_s2bm_ard_3-2-1_51HXD_2019-08-11_final.stac-item
2019-08-11 11:26:47	ga_s2bm_ard_3-2-1_51HWD_2019-08-11_final.stac-item
2021-02-17 10:06:02	ga_s2bm_ard_3-2-1_55HBD_2021-02-17_final.stac-item
2021-02-17 10:06:04	ga_s2bm_ard_3-2-1_54HYJ_2021-02-17_final.stac-item
2021-02-17 10:06:08	ga_s2bm_ard_3-2-1_54HXJ_2021-02-17_final.stac-item
2021-02-17 10:06:11	ga_s2bm_ard_3-2-1_54HWJ_2021-02-17_final.stac-item
2021-02-20 10:16:07	ga_s2bm_ard_3-2-1_54HWJ_2021-02-20_final.stac-item
2021-02-20 10:16:11	ga_s2bm_ard_3-2-1_54HVJ_2021-02-20_final.stac-item
2021-02-20 10:16:14	ga_s2bm_ard_3-2-1_54HUJ_2021-02-20_final.stac-item
2021-02-20 10:16:18	ga_s2bm_ard_3-2-1_54HTJ_2021-02-20_final.stac-item
2021-02-21 09:45:52	ga_s2bm_ard_3-2-1_55HGD_2021-02-21_final.stac-item
2021-02-21 09:45:56	ga_s2bm_ard_3-2-1_55HFD_2021-02-21_final.stac-item
2021-02-21 09:46:00	ga_s2bm_ard_3-2-1_55HED_2021-02-21_final.stac-item
2021-02-21 09:46:03	ga_s2bm_ard_3-2-1_55HDD_2021-02-21_final.stac-item
2021-03-01 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2021-03-01_final.stac-item
2021-03-01 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-03-01_final.stac-item
2021-03-03 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2021-03-03_final.stac-item
2021-03-03 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-03-03_final.stac-item
2021-03-03 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2021-03-03_final.stac-item
2021-03-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-03_final.stac-item
2021-03-06 09:55:53	ga_s2bm_ard_3-2-1_55HED_2021-03-06_final.stac-item
2021-03-06 09:56:00	ga_s2bm_ard_3-2-1_55HDD_2021-03-06_final.stac-item
2021-03-06 09:56:04	ga_s2bm_ard_3-2-1_55HCD_2021-03-06_final.stac-item
2021-03-06 09:56:07	ga_s2bm_ard_3-2-1_55HBD_2021-03-06_final.stac-item
2021-03-06 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2021-03-06_final.stac-item
2021-07-08 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-07-08_final.stac-item
2021-07-08 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2021-07-08_final.stac-item
2021-07-08 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2021-07-08_final.stac-item
2023-09-30 10:56:22	ga_s2bm_ard_3-2-1_53HKD_2023-09-30_nrt
2023-09-30 10:56:24	ga_s2bm_ard_3-2-1_52HGJ_2023-09-30_nrt
2023-10-06 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2023-10-06_final
2023-10-06 09:35:53	ga_s2bm_ard_3-2-1_56HLJ_2023-10-06_final
2023-10-06 09:35:56	ga_s2bm_ard_3-2-1_56HKJ_2023-10-06_final
2023-10-06 09:35:58	ga_s2bm_ard_3-2-1_55HGD_2023-10-06_final
2023-10-06 09:36:02	ga_s2bm_ard_3-2-1_55HFD_2023-10-06_final
2023-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-08_final
2023-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2023-10-08_final
2023-10-08 11:56:59	ga_s2bm_ard_3-2-1_50HKJ_2023-10-08_nrt
2023-10-08 11:57:01	ga_s2bm_ard_3-2-1_49HGD_2023-10-08_nrt
2023-10-11 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2023-10-11_final
2023-11-10 10:26:14	ga_s2bm_ard_3-2-1_54HUJ_2023-11-10_final
2023-11-10 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2023-11-10_final
2023-11-10 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2023-11-10_final
2023-11-10 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2023-11-10_final
2023-11-14 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2023-11-14_final
2023-11-14 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2023-11-14_final
2023-11-14 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2023-11-14_final
2023-11-14 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2023-11-14_final
2023-11-16 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2023-11-16_final
2023-11-16 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2023-11-16_final
2023-11-16 10:46:27	ga_s2bm_ard_3-2-1_53HKD_2023-11-16_nrt
2023-11-16 10:46:28	ga_s2bm_ard_3-2-1_52HGJ_2023-11-16_nrt
2023-11-16 10:46:34	ga_s2bm_ard_3-2-1_52HFJ_2023-11-16_nrt
2023-12-06 10:46:17	ga_s2bm_ard_3-2-1_53HMD_2023-12-06_final
2023-12-06 10:46:21	ga_s2bm_ard_3-2-1_53HLD_2023-12-06_final
2023-12-06 10:46:23	ga_s2bm_ard_3-2-1_53HKD_2023-12-06_nrt
2023-12-06 10:46:24	ga_s2bm_ard_3-2-1_52HGJ_2023-12-06_nrt
2023-12-07 10:16:06	ga_s2bm_ard_3-2-1_54HWJ_2023-12-07_final
2023-12-07 10:16:10	ga_s2bm_ard_3-2-1_54HVJ_2023-12-07_final
2023-12-07 10:16:13	ga_s2bm_ard_3-2-1_54HUJ_2023-12-07_final
2023-12-07 10:16:17	ga_s2bm_ard_3-2-1_54HTJ_2023-12-07_final
2023-12-30 10:26:14	ga_s2bm_ard_3-2-1_54HUJ_2023-12-30_final
2023-12-30 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2023-12-30_final
2023-12-30 10:26:19	ga_s2bm_ard_3-2-1_53HQD_2023-12-30_final
2023-12-30 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2023-12-30_final
2024-01-03 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2024-01-03_final
2024-01-03 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2024-01-03_final
2024-01-03 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2024-01-03_final
2024-01-03 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2024-01-03_final
2024-01-05 10:46:26	ga_s2bm_ard_3-2-1_53HKD_2024-01-05_nrt
2024-01-05 10:46:27	ga_s2bm_ard_3-2-1_52HGJ_2024-01-05_nrt
2024-01-10 09:55:52	ga_s2bm_ard_3-2-1_55HED_2024-01-10_final
2024-01-10 09:56:00	ga_s2bm_ard_3-2-1_55HDD_2024-01-10_final
2024-01-10 09:56:03	ga_s2bm_ard_3-2-1_55HCD_2024-01-10_final
2024-01-10 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2024-01-10_final
2024-01-10 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2024-01-10_final
2024-01-10 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2024-01-10_final
2024-01-10 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2024-01-10_final
2024-01-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-01-10_final

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