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
2020-04-26 10:16:04	ga_s2bm_ard_3-2-1_54HWJ_2020-04-26_final.stac-item
2020-04-26 10:16:08	ga_s2bm_ard_3-2-1_54HVJ_2020-04-26_final.stac-item
2020-04-26 10:16:11	ga_s2bm_ard_3-2-1_54HUJ_2020-04-26_final.stac-item
2020-04-26 10:16:16	ga_s2bm_ard_3-2-1_54HTJ_2020-04-26_final.stac-item
2020-04-26 10:16:23	ga_s2bm_ard_3-2-1_54HVH_2020-04-26_final.stac-item
2020-04-26 10:16:26	ga_s2bm_ard_3-2-1_54HUH_2020-04-26_final.stac-item
2020-04-26 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2020-04-26_final.stac-item
2020-04-27 09:45:50	ga_s2bm_ard_3-2-1_55HGD_2020-04-27_final.stac-item
2020-04-27 09:45:54	ga_s2bm_ard_3-2-1_55HFD_2020-04-27_final.stac-item
2020-04-27 09:45:57	ga_s2bm_ard_3-2-1_55HED_2020-04-27_final.stac-item
2020-04-27 09:46:01	ga_s2bm_ard_3-2-1_55HDD_2020-04-27_final.stac-item
2020-04-27 09:46:02	ga_s2bm_ard_3-2-1_55HGC_2020-04-27_final.stac-item
2020-04-27 09:46:08	ga_s2bm_ard_3-2-1_55HFC_2020-04-27_final.stac-item
2020-04-27 09:46:12	ga_s2bm_ard_3-2-1_55HEC_2020-04-27_final.stac-item
2020-04-27 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2020-04-27_final.stac-item
2020-04-27 11:26:35	ga_s2bm_ard_3-2-1_51HWD_2020-04-27_final.stac-item
2020-04-27 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2020-04-27_final.stac-item
2020-04-27 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2020-04-27_final.stac-item
2020-04-27 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2020-04-27_final
2020-04-27 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2020-04-27_final.stac-item
2020-04-27 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-04-27_final.stac-item
2020-04-30 09:55:57	ga_s2bm_ard_3-2-1_55HDD_2020-04-30_final.stac-item
2020-04-30 09:56:01	ga_s2bm_ard_3-2-1_55HCD_2020-04-30_final.stac-item
2020-04-30 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2020-04-30_final.stac-item
2020-04-30 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2020-04-30_final.stac-item
2020-04-30 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2020-04-30_final.stac-item
2020-04-30 09:56:15	ga_s2bm_ard_3-2-1_55HCC_2020-04-30_final.stac-item
2020-04-30 09:56:19	ga_s2bm_ard_3-2-1_55HBC_2020-04-30_final.stac-item
2020-04-30 09:56:21	ga_s2bm_ard_3-2-1_54HYH_2020-04-30_final.stac-item
2020-05-03 10:06:01	ga_s2bm_ard_3-2-1_55HBD_2020-05-03_final.stac-item
2020-05-03 10:06:03	ga_s2bm_ard_3-2-1_54HYJ_2020-05-03_final.stac-item
2020-05-03 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2020-05-03_final.stac-item
2020-05-03 10:06:10	ga_s2bm_ard_3-2-1_54HWJ_2020-05-03_final.stac-item
2020-05-03 10:06:15	ga_s2bm_ard_3-2-1_55HBC_2020-05-03_final.stac-item
2020-05-03 10:06:17	ga_s2bm_ard_3-2-1_54HYH_2020-05-03_final.stac-item
2020-05-03 10:06:21	ga_s2bm_ard_3-2-1_54HXH_2020-05-03_final.stac-item
2020-05-03 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2020-05-03_final.stac-item
2020-05-12 10:36:16	ga_s2bm_ard_3-2-1_53HPD_2020-05-12_final.stac-item
2020-05-12 10:36:20	ga_s2bm_ard_3-2-1_53HND_2020-05-12_final.stac-item
2020-05-12 10:36:23	ga_s2bm_ard_3-2-1_53HMD_2020-05-12_final.stac-item
2020-05-12 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2020-05-12_final.stac-item
2020-05-12 10:36:31	ga_s2bm_ard_3-2-1_53HPC_2020-05-12_final.stac-item
2020-05-12 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2020-05-12_final.stac-item
2020-05-13 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2020-05-13_final.stac-item
2020-05-13 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2020-05-13_final.stac-item
2020-05-13 10:06:09	ga_s2bm_ard_3-2-1_54HXJ_2020-05-13_final.stac-item
2020-05-13 10:06:13	ga_s2bm_ard_3-2-1_54HWJ_2020-05-13_final.stac-item
2020-05-13 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2020-05-13_final.stac-item
2020-05-13 10:06:19	ga_s2bm_ard_3-2-1_54HYH_2020-05-13_final.stac-item
2020-05-13 10:06:23	ga_s2bm_ard_3-2-1_54HXH_2020-05-13_final.stac-item
2020-05-13 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2020-05-13_final.stac-item
2020-05-14 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2020-05-14_final.stac-item
2020-05-14 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2020-05-14_final.stac-item
2020-05-14 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2020-05-14_final.stac-item
2020-05-14 11:16:54	ga_s2bm_ard_3-2-1_51HXC_2020-05-14_final
2020-05-16 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2020-05-16_final.stac-item
2020-05-16 10:16:27	ga_s2bm_ard_3-2-1_54HVH_2020-05-16_final.stac-item
2020-05-16 10:16:30	ga_s2bm_ard_3-2-1_54HUH_2020-05-16_final.stac-item
2020-05-16 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2020-05-16_final.stac-item
2020-07-23 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2020-07-23_final.stac-item
2020-07-23 11:16:57	ga_s2bm_ard_3-2-1_51HXC_2020-07-23_final
2020-07-24 10:46:23	ga_s2bm_ard_3-2-1_53HMD_2020-07-24_final.stac-item
2020-07-24 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2020-07-24_final.stac-item
2020-07-29 09:56:04	ga_s2bm_ard_3-2-1_55HDD_2020-07-29_final.stac-item
2020-07-29 09:56:08	ga_s2bm_ard_3-2-1_55HCD_2020-07-29_final.stac-item
2020-07-29 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2020-07-29_final.stac-item
2020-07-29 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2020-07-29_final.stac-item
2020-07-29 09:56:18	ga_s2bm_ard_3-2-1_55HDC_2020-07-29_final.stac-item
2020-07-29 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2020-07-29_final.stac-item
2020-07-29 09:56:25	ga_s2bm_ard_3-2-1_55HBC_2020-07-29_final.stac-item
2020-07-29 09:56:27	ga_s2bm_ard_3-2-1_54HYH_2020-07-29_final.stac-item
2020-07-31 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2020-07-31_final.stac-item
2020-07-31 10:36:35	ga_s2bm_ard_3-2-1_53HPC_2020-07-31_final.stac-item
2020-07-31 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2020-07-31_final.stac-item
2020-08-04 10:16:12	ga_s2bm_ard_3-2-1_54HWJ_2020-08-04_final.stac-item
2020-08-04 10:16:16	ga_s2bm_ard_3-2-1_54HVJ_2020-08-04_final.stac-item
2020-08-04 10:16:20	ga_s2bm_ard_3-2-1_54HUJ_2020-08-04_final.stac-item
2020-08-04 10:16:24	ga_s2bm_ard_3-2-1_54HTJ_2020-08-04_final.stac-item
2020-08-04 10:16:31	ga_s2bm_ard_3-2-1_54HVH_2020-08-04_final.stac-item
2020-08-04 10:16:34	ga_s2bm_ard_3-2-1_54HUH_2020-08-04_final.stac-item
2020-08-04 10:16:37	ga_s2bm_ard_3-2-1_54HTH_2020-08-04_final.stac-item
2020-08-04 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-08-04_final.stac-item
2020-08-04 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-08-04_final.stac-item
2020-08-04 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-04_final.stac-item
2020-08-04 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-08-04_final.stac-item
2020-08-05 09:45:58	ga_s2bm_ard_3-2-1_55HGD_2020-08-05_final.stac-item
2020-08-05 09:46:02	ga_s2bm_ard_3-2-1_55HFD_2020-08-05_final.stac-item
2020-08-05 09:46:05	ga_s2bm_ard_3-2-1_55HED_2020-08-05_final.stac-item
2020-08-05 09:46:09	ga_s2bm_ard_3-2-1_55HDD_2020-08-05_final.stac-item
2020-08-05 09:46:10	ga_s2bm_ard_3-2-1_55HGC_2020-08-05_final.stac-item
2020-08-05 09:46:16	ga_s2bm_ard_3-2-1_55HFC_2020-08-05_final.stac-item
2020-08-05 09:46:20	ga_s2bm_ard_3-2-1_55HEC_2020-08-05_final.stac-item
2020-09-03 10:16:12	ga_s2bm_ard_3-2-1_54HWJ_2020-09-03_final.stac-item
2020-09-03 10:16:16	ga_s2bm_ard_3-2-1_54HVJ_2020-09-03_final.stac-item
2020-09-03 10:16:20	ga_s2bm_ard_3-2-1_54HUJ_2020-09-03_final.stac-item
2020-09-03 10:16:24	ga_s2bm_ard_3-2-1_54HTJ_2020-09-03_final.stac-item
2020-09-12 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2020-09-12_final.stac-item
2020-09-13 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2020-09-13_final.stac-item
2020-09-13 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2020-09-13_final.stac-item
2020-09-13 10:16:19	ga_s2bm_ard_3-2-1_54HUJ_2020-09-13_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

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