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
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HCC_2017-12-09_final.stac-item
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HDC_2017-12-09_final.stac-item
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HEC_2017-12-09_final.stac-item
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HFC_2017-12-09_final.stac-item
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HGC_2017-12-09_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51HTC_2017-12-22_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51HUC_2017-12-22_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HPH_2017-12-22_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HQH_2017-12-22_final.stac-item
2019-08-24 09:56:21	ga_s2bm_ard_3-2-1_55HDC_2019-08-24_final.stac-item
2019-08-24 09:56:24	ga_s2bm_ard_3-2-1_55HCC_2019-08-24_final.stac-item
2019-08-24 09:56:28	ga_s2bm_ard_3-2-1_55HBC_2019-08-24_final.stac-item
2019-08-24 09:56:30	ga_s2bm_ard_3-2-1_54HYH_2019-08-24_final.stac-item
2019-08-24 09:56:42	ga_s2bm_ard_3-2-1_55HBB_2019-08-24_final.stac-item
2019-08-24 09:56:44	ga_s2bm_ard_3-2-1_54HYG_2019-08-24_final.stac-item
2019-08-26 10:36:37	ga_s2bm_ard_3-2-1_53HPC_2019-08-26_final.stac-item
2019-08-26 10:36:40	ga_s2bm_ard_3-2-1_53HNC_2019-08-26_final.stac-item
2019-08-27 10:06:23	ga_s2bm_ard_3-2-1_55HBC_2019-08-27_final.stac-item
2019-08-27 10:06:25	ga_s2bm_ard_3-2-1_54HYH_2019-08-27_final.stac-item
2019-08-27 10:06:29	ga_s2bm_ard_3-2-1_54HXH_2019-08-27_final.stac-item
2019-08-27 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2019-08-27_final.stac-item
2019-08-27 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2019-08-27_final.stac-item
2019-08-27 10:06:38	ga_s2bm_ard_3-2-1_54HVH_2019-08-27_final.stac-item
2019-08-27 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2019-08-27_final.stac-item
2019-08-27 10:06:43	ga_s2bm_ard_3-2-1_54HXG_2019-08-27_final.stac-item
2019-08-27 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2019-08-27_final.stac-item
2019-08-27 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2019-08-27_final.stac-item
2019-08-27 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2019-08-27_final.stac-item
2019-08-27 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2019-08-27_final.stac-item
2019-08-28 09:36:16	ga_s2bm_ard_3-2-1_56HKH_2019-08-28_final.stac-item
2019-08-28 09:36:17	ga_s2bm_ard_3-2-1_55HGC_2019-08-28_final.stac-item
2019-08-28 09:36:21	ga_s2bm_ard_3-2-1_55HFC_2019-08-28_final.stac-item
2019-08-28 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2019-08-28_final.stac-item
2019-08-28 09:36:32	ga_s2bm_ard_3-2-1_55HGB_2019-08-28_final.stac-item
2019-08-28 09:36:36	ga_s2bm_ard_3-2-1_55HFB_2019-08-28_final.stac-item
2019-08-30 10:16:28	ga_s2bm_ard_3-2-1_54HWH_2019-08-30_final.stac-item
2019-08-30 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2019-08-30_final.stac-item
2019-08-30 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2019-08-30_final.stac-item
2019-09-03 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2019-09-03_final.stac-item
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final.stac-item
2019-09-03 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-09-03_final.stac-item
2019-09-03 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-09-03_final.stac-item
2019-09-06 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2019-09-06_final.stac-item
2019-09-06 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2019-09-06_final.stac-item
2019-09-06 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-09-06_final.stac-item
2019-09-06 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2019-09-06_final.stac-item
2019-09-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-09-09_final.stac-item
2019-09-09 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2019-09-09_final.stac-item
2019-09-10 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2019-09-10_final.stac-item
2019-09-10 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2019-09-10_final.stac-item
2019-09-13 09:56:16	ga_s2bm_ard_3-2-1_55HDC_2019-09-13_final.stac-item
2019-09-13 09:56:20	ga_s2bm_ard_3-2-1_55HCC_2019-09-13_final.stac-item
2019-09-13 09:56:23	ga_s2bm_ard_3-2-1_55HBC_2019-09-13_final.stac-item
2019-09-13 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2019-09-13_final.stac-item
2019-09-13 09:56:38	ga_s2bm_ard_3-2-1_55HBB_2019-09-13_final.stac-item
2019-09-13 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2019-09-13_final.stac-item
2019-09-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-09-13_final.stac-item
2019-09-13 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2019-09-13_final.stac-item
2019-09-16 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2019-09-16_final.stac-item
2019-09-16 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2019-09-16_final.stac-item
2019-09-16 10:06:24	ga_s2bm_ard_3-2-1_54HXH_2019-09-16_final.stac-item
2019-09-16 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2019-09-16_final.stac-item
2019-09-16 10:06:32	ga_s2bm_ard_3-2-1_55HBB_2019-09-16_final.stac-item
2019-09-16 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2019-09-16_final.stac-item
2019-09-16 10:06:34	ga_s2bm_ard_3-2-1_54HYG_2019-09-16_final.stac-item
2019-09-16 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2019-09-16_final.stac-item
2019-09-16 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-09-16_final.stac-item
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final.stac-item
2019-09-16 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-09-16_final.stac-item
2019-09-16 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-09-16_final.stac-item
2019-10-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-13_final.stac-item
2019-10-13 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2019-10-13_final.stac-item
2019-10-13 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-13_final.stac-item
2019-10-13 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-10-13_final.stac-item
2019-10-19 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2019-10-19_final.stac-item
2019-10-19 10:16:29	ga_s2bm_ard_3-2-1_54HVH_2019-10-19_final.stac-item
2019-10-19 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2019-10-19_final.stac-item
2019-10-19 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2019-10-19_final.stac-item
2019-10-19 10:16:50	ga_s2bm_ard_3-2-1_54HTG_2019-10-19_final.stac-item
2019-10-19 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-19_final.stac-item
2019-10-19 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-19_final.stac-item
2019-10-20 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2019-10-20_final.stac-item
2019-10-20 09:46:14	ga_s2bm_ard_3-2-1_55HFC_2019-10-20_final.stac-item
2019-10-20 09:46:18	ga_s2bm_ard_3-2-1_55HEC_2019-10-20_final.stac-item
2019-10-20 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2019-10-20_final.stac-item
2019-10-20 09:46:29	ga_s2bm_ard_3-2-1_55HCC_2019-10-20_final.stac-item
2019-10-23 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-23_final.stac-item
2019-10-23 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2019-10-23_final.stac-item
2019-10-23 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-23_final.stac-item
2019-10-23 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-10-23_final.stac-item
2019-10-30 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2019-10-30_final.stac-item
2019-10-30 09:46:13	ga_s2bm_ard_3-2-1_55HFC_2019-10-30_final.stac-item
2019-10-30 09:46:17	ga_s2bm_ard_3-2-1_55HEC_2019-10-30_final.stac-item
2019-10-30 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2019-10-30_final.stac-item
2019-10-30 09:46:28	ga_s2bm_ard_3-2-1_55HCC_2019-10-30_final.stac-item
2019-10-30 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2019-10-30_final.stac-item
2019-10-30 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2019-10-30_final.stac-item
2019-11-02 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-11-02_final.stac-item
2019-11-02 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2019-11-02_final.stac-item
2019-11-02 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-11-02_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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