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
2021-07-30 10:16:12	ga_s2bm_ard_3-2-1_54HWJ_2021-07-30_final.stac-item
2021-07-30 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2021-07-30_final.stac-item
2021-07-30 10:16:18	ga_s2bm_ard_3-2-1_54HUJ_2021-07-30_final.stac-item
2021-07-30 10:16:22	ga_s2bm_ard_3-2-1_54HTJ_2021-07-30_final.stac-item
2021-08-03 09:56:03	ga_s2bm_ard_3-2-1_55HDD_2021-08-03_final.stac-item
2021-08-03 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2021-08-03_final.stac-item
2021-08-03 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2021-08-03_final.stac-item
2021-08-03 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2021-08-03_final.stac-item
2021-08-03 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2021-08-03_final.stac-item
2021-08-03 09:56:26	ga_s2bm_ard_3-2-1_54HYH_2021-08-03_final.stac-item
2021-08-03 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-08-03_final.stac-item
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final.stac-item
2021-08-04 09:25:55	ga_s2bm_ard_3-2-1_56HMJ_2021-08-03_final.stac-item
2021-08-04 09:25:59	ga_s2bm_ard_3-2-1_56HLJ_2021-08-03_final.stac-item
2021-08-06 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-08-06_final.stac-item
2021-08-06 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-08-06_final.stac-item
2021-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-08-06_final.stac-item
2021-08-06 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-08-06_final.stac-item
2021-08-07 09:35:49	ga_s2bm_ard_3-2-1_56HMJ_2021-08-07_final.stac-item
2021-08-07 09:35:54	ga_s2bm_ard_3-2-1_56HLJ_2021-08-07_final.stac-item
2021-08-07 09:35:58	ga_s2bm_ard_3-2-1_56HKJ_2021-08-07_final.stac-item
2021-08-07 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2021-08-07_final.stac-item
2021-08-07 09:36:03	ga_s2bm_ard_3-2-1_55HFD_2021-08-07_final.stac-item
2021-08-07 09:36:12	ga_s2bm_ard_3-2-1_56HKH_2021-08-07_final.stac-item
2021-08-07 09:36:14	ga_s2bm_ard_3-2-1_55HGC_2021-08-07_final.stac-item
2021-08-23 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-08-23_final.stac-item
2021-08-23 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-08-23_final.stac-item
2021-08-23 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-08-23_final.stac-item
2021-09-12 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-09-12_final.stac-item
2021-09-12 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-09-12_final.stac-item
2021-09-13 09:25:50	ga_s2bm_ard_3-2-1_56HMJ_2021-09-12_final.stac-item
2021-09-13 09:25:53	ga_s2bm_ard_3-2-1_56HLJ_2021-09-12_final.stac-item
2021-09-14 10:36:17	ga_s2bm_ard_3-2-1_53HND_2021-09-14_final.stac-item
2021-09-14 10:36:21	ga_s2bm_ard_3-2-1_53HMD_2021-09-14_final.stac-item
2021-09-14 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2021-09-14_final.stac-item
2022-05-20 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-05-20_final.stac-item
2022-05-20 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-20_final.stac-item
2022-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-20_final.stac-item
2022-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-20_final.stac-item
2022-05-20 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-20_final.stac-item
2022-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-20_final.stac-item
2022-05-21 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2022-05-20_final.stac-item
2022-05-21 09:25:57	ga_s2bm_ard_3-2-1_56HLJ_2022-05-20_final.stac-item
2022-05-24 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2022-05-24_final.stac-item
2022-05-24 09:35:53	ga_s2bm_ard_3-2-1_56HLJ_2022-05-24_final.stac-item
2022-05-24 09:35:57	ga_s2bm_ard_3-2-1_56HKJ_2022-05-24_final.stac-item
2022-05-24 09:36:02	ga_s2bm_ard_3-2-1_55HFD_2022-05-24_final.stac-item
2022-05-24 09:36:11	ga_s2bm_ard_3-2-1_56HKH_2022-05-24_final.stac-item
2022-05-25 10:46:21	ga_s2bm_ard_3-2-1_53HMD_2022-05-25_final.stac-item
2022-05-25 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2022-05-25_final.stac-item
2022-05-27 09:45:55	ga_s2bm_ard_3-2-1_55HGD_2022-05-27_final.stac-item
2022-05-27 09:45:59	ga_s2bm_ard_3-2-1_55HFD_2022-05-27_final.stac-item
2022-05-27 09:46:02	ga_s2bm_ard_3-2-1_55HED_2022-05-27_final.stac-item
2022-05-27 09:46:06	ga_s2bm_ard_3-2-1_55HDD_2022-05-27_final.stac-item
2022-05-29 10:26:12	ga_s2bm_ard_3-2-1_54HUJ_2022-05-29_final.stac-item
2022-05-29 10:26:16	ga_s2bm_ard_3-2-1_54HTJ_2022-05-29_final.stac-item
2022-05-29 10:26:18	ga_s2bm_ard_3-2-1_53HQD_2022-05-29_final.stac-item
2022-05-29 10:26:22	ga_s2bm_ard_3-2-1_53HPD_2022-05-29_final.stac-item
2022-05-29 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2022-05-29_final.stac-item
2022-05-29 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2022-05-29_final.stac-item
2022-05-30 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-05-30_final.stac-item
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final.stac-item
2022-05-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-30_final.stac-item
2022-06-03 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-06-03_final.stac-item
2022-06-03 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-06-03_final.stac-item
2022-06-03 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2022-06-03_final.stac-item
2022-06-05 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-06-05_final.stac-item
2022-06-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-06-05_final.stac-item
2022-06-06 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2022-06-06_final.stac-item
2022-06-06 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2022-06-06_final.stac-item
2022-06-06 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-06-06_final.stac-item
2022-06-06 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2022-06-06_final.stac-item
2022-06-08 10:26:14	ga_s2bm_ard_3-2-1_54HUJ_2022-06-08_final.stac-item
2022-06-08 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2022-06-08_final.stac-item
2022-06-08 10:26:19	ga_s2bm_ard_3-2-1_53HQD_2022-06-08_final.stac-item
2022-06-08 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2022-06-08_final.stac-item
2022-06-08 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2022-06-08_final.stac-item
2022-06-08 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2022-06-08_final.stac-item
2022-06-10 09:25:56	ga_s2bm_ard_3-2-1_56HMJ_2022-06-09_final.stac-item
2022-06-10 09:25:59	ga_s2bm_ard_3-2-1_56HLJ_2022-06-09_final.stac-item
2022-08-15 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2022-08-15_final.stac-item
2022-08-15 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2022-08-15_final.stac-item
2022-08-15 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2022-08-15_final.stac-item
2022-08-15 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2022-08-15_final.stac-item
2022-08-24 10:16:10	ga_s2bm_ard_3-2-1_54HWJ_2022-08-24_final.stac-item
2022-08-24 10:16:14	ga_s2bm_ard_3-2-1_54HVJ_2022-08-24_final.stac-item
2022-08-24 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2022-08-24_final.stac-item
2022-08-24 10:16:21	ga_s2bm_ard_3-2-1_54HTJ_2022-08-24_final.stac-item
2022-09-02 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2022-09-02_final.stac-item
2022-09-02 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2022-09-02_final.stac-item
2022-09-10 10:06:06	ga_s2bm_ard_3-2-1_55HBD_2022-09-10_final.stac-item
2022-09-10 10:06:08	ga_s2bm_ard_3-2-1_54HYJ_2022-09-10_final.stac-item
2022-09-10 10:06:12	ga_s2bm_ard_3-2-1_54HXJ_2022-09-10_final.stac-item
2022-09-10 10:06:16	ga_s2bm_ard_3-2-1_54HWJ_2022-09-10_final.stac-item
2022-09-10 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2022-09-10_final.stac-item
2022-09-10 10:06:22	ga_s2bm_ard_3-2-1_54HYH_2022-09-10_final.stac-item
2022-12-31 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2022-12-31_final.stac-item
2022-12-31 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-12-31_final.stac-item
2022-12-31 10:46:26	ga_s2bm_ard_3-2-1_53HKD_2022-12-31_nrt.stac-item
2022-12-31 10:46:27	ga_s2bm_ard_3-2-1_52HGJ_2022-12-31_nrt.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

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