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
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HTH_2018-08-05_final.stac-item
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HUH_2018-08-05_final.stac-item
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HVH_2018-08-05_final.stac-item
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HWH_2018-08-05_final.stac-item
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55HCC_2018-08-06_final.stac-item
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55HDC_2018-08-06_final.stac-item
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55HEC_2018-08-06_final.stac-item
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55HFC_2018-08-06_final.stac-item
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55HGC_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HTC_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HUC_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HVC_2018-08-06_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55HBC_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55HCC_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_54HYH_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55HDC_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTC_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUC_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HQH_2018-08-09_final.stac-item
2018-08-11 10:36:08	ga_s2bm_ard_3-2-1_53HNC_2018-08-11_final.stac-item
2018-08-11 10:36:08	ga_s2bm_ard_3-2-1_53HPC_2018-08-11_final.stac-item
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_54HVH_2018-08-12_final.stac-item
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_54HWH_2018-08-12_final.stac-item
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_55HBC_2018-08-12_final.stac-item
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_54HXH_2018-08-12_final.stac-item
2018-08-12 10:03:57	ga_s2bm_ard_3-2-1_54HYH_2018-08-12_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HLH_2018-08-12_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-08-12_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNH_2018-08-12_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HPH_2018-08-12_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HTH_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HUH_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HVH_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HWH_2018-08-15_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HCC_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HDC_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HEC_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HFC_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HGC_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HTC_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HUC_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HVC_2018-08-16_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HNC_2018-08-18_final.stac-item
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_55HBC_2018-08-19_final.stac-item
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_55HCC_2018-08-19_final.stac-item
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_54HYH_2018-08-19_final.stac-item
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_55HDC_2018-08-19_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54HVH_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54HWH_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_55HBC_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54HXH_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54HYH_2018-08-22_final.stac-item
2019-07-27 10:36:40	ga_s2bm_ard_3-2-1_53HPC_2019-07-27_final.stac-item
2019-07-27 10:36:44	ga_s2bm_ard_3-2-1_53HNC_2019-07-27_final.stac-item
2019-07-28 10:06:33	ga_s2bm_ard_3-2-1_54HXH_2019-07-28_final.stac-item
2019-07-28 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-07-28_final.stac-item
2019-07-28 10:06:42	ga_s2bm_ard_3-2-1_54HVH_2019-07-28_final.stac-item
2019-08-04 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-08-04_final.stac-item
2019-08-04 11:37:08	ga_s2bm_ard_3-2-1_51HTC_2019-08-04_final.stac-item
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final.stac-item
2019-08-04 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-08-04_final.stac-item
2019-08-06 10:36:39	ga_s2bm_ard_3-2-1_53HPC_2019-08-06_final.stac-item
2019-08-06 10:36:43	ga_s2bm_ard_3-2-1_53HNC_2019-08-06_final.stac-item
2019-08-07 10:06:26	ga_s2bm_ard_3-2-1_55HBC_2019-08-07_final.stac-item
2019-08-07 10:06:28	ga_s2bm_ard_3-2-1_54HYH_2019-08-07_final.stac-item
2019-08-07 10:06:32	ga_s2bm_ard_3-2-1_54HXH_2019-08-07_final.stac-item
2019-08-07 10:06:35	ga_s2bm_ard_3-2-1_54HWH_2019-08-07_final.stac-item
2019-08-07 10:06:41	ga_s2bm_ard_3-2-1_54HVH_2019-08-07_final.stac-item
2019-08-07 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-08-07_final.stac-item
2019-08-07 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-08-07_final.stac-item
2019-08-07 11:47:17	ga_s2bm_ard_3-2-1_50HMH_2019-08-07_final.stac-item
2019-08-07 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-08-07_final.stac-item
2019-08-10 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-08-10_final.stac-item
2019-08-10 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2019-08-10_final.stac-item
2019-08-11 09:46:14	ga_s2bm_ard_3-2-1_55HGC_2019-08-11_final.stac-item
2019-08-11 09:46:20	ga_s2bm_ard_3-2-1_55HFC_2019-08-11_final.stac-item
2019-08-11 09:46:23	ga_s2bm_ard_3-2-1_55HEC_2019-08-11_final.stac-item
2019-08-11 09:46:27	ga_s2bm_ard_3-2-1_55HDC_2019-08-11_final.stac-item
2019-08-11 09:46:34	ga_s2bm_ard_3-2-1_55HCC_2019-08-11_final.stac-item
2019-08-14 11:37:04	ga_s2bm_ard_3-2-1_51HUC_2019-08-14_final.stac-item
2019-08-14 11:37:07	ga_s2bm_ard_3-2-1_51HTC_2019-08-14_final.stac-item
2019-08-14 11:37:09	ga_s2bm_ard_3-2-1_50HQH_2019-08-14_final.stac-item
2019-08-14 11:37:13	ga_s2bm_ard_3-2-1_50HPH_2019-08-14_final.stac-item
2020-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-24_final.stac-item
2020-03-24 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-24_final.stac-item
2020-03-24 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-24_final.stac-item
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final.stac-item
2020-03-28 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2020-03-28_final
2020-03-28 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-03-28_final.stac-item
2020-03-28 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-03-28_final.stac-item
2020-03-28 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2020-03-28_final.stac-item
2020-03-31 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-03-31_final.stac-item
2020-03-31 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-03-31_final.stac-item
2020-03-31 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-31_final.stac-item
2020-03-31 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-31_final.stac-item
2020-04-03 10:06:16	ga_s2bm_ard_3-2-1_55HBC_2020-04-03_final.stac-item
2020-04-03 10:06:17	ga_s2bm_ard_3-2-1_54HYH_2020-04-03_final.stac-item
2020-04-03 10:06:22	ga_s2bm_ard_3-2-1_54HXH_2020-04-03_final.stac-item
2020-04-03 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2020-04-03_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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