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
2021-05-17 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2021-05-17_final.stac-item
2021-05-17 10:37:08	ga_s2bm_ard_3-2-1_53HPV_2021-05-17_final
2021-05-17 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2021-05-17_final.stac-item
2021-05-17 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2021-05-17_final
2021-05-17 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-05-17_final.stac-item
2021-05-17 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-05-17_final.stac-item
2021-05-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-05-17_final.stac-item
2021-05-17 12:14:07	ga_s2bm_ard_3-2-1_50KKV_2021-05-17_final.stac-item
2021-05-17 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-05-17_final.stac-item
2021-05-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-05-17_final.stac-item
2021-05-17 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2021-05-17_final.stac-item
2021-05-17 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-17_final.stac-item
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final.stac-item
2021-05-17 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2021-05-17_final.stac-item
2021-05-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-05-17_final.stac-item
2021-05-17 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2021-05-17_final.stac-item
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-05-17 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-05-17_final.stac-item
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-05-17 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2021-05-17_final.stac-item
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final.stac-item
2021-05-17 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-05-17_final.stac-item
2021-05-18 10:01:11	ga_s2bm_ard_3-2-1_55LCD_2021-05-18_final.stac-item
2021-05-18 10:01:13	ga_s2bm_ard_3-2-1_55LFC_2021-05-18_final.stac-item
2021-05-18 10:01:17	ga_s2bm_ard_3-2-1_55LEC_2021-05-18_final.stac-item
2021-05-18 10:01:23	ga_s2bm_ard_3-2-1_55LCC_2021-05-18_final.stac-item
2021-05-18 10:01:28	ga_s2bm_ard_3-2-1_55KFB_2021-05-18_final.stac-item
2021-05-18 10:01:32	ga_s2bm_ard_3-2-1_55KEB_2021-05-18_final.stac-item
2021-05-18 10:01:35	ga_s2bm_ard_3-2-1_55KDB_2021-05-18_final.stac-item
2021-05-18 10:01:38	ga_s2bm_ard_3-2-1_55KCB_2021-05-18_final.stac-item
2021-05-18 10:01:42	ga_s2bm_ard_3-2-1_55KFA_2021-05-18_final.stac-item
2021-05-18 10:01:49	ga_s2bm_ard_3-2-1_55KDA_2021-05-18_final.stac-item
2021-05-18 10:01:53	ga_s2bm_ard_3-2-1_55KCA_2021-05-18_final.stac-item
2021-05-18 10:02:00	ga_s2bm_ard_3-2-1_55KEV_2021-05-18_final.stac-item
2021-05-18 10:02:04	ga_s2bm_ard_3-2-1_55KDV_2021-05-18_final.stac-item
2021-05-18 10:02:04	ga_s2bm_ard_3-2-1_55KFU_2021-05-18_final.stac-item
2021-05-18 10:02:07	ga_s2bm_ard_3-2-1_55KCV_2021-05-18_final.stac-item
2021-05-18 10:02:14	ga_s2bm_ard_3-2-1_55KBV_2021-05-18_final.stac-item
2021-05-18 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2021-05-18_final.stac-item
2021-05-18 10:02:19	ga_s2bm_ard_3-2-1_55KDU_2021-05-18_final.stac-item
2021-05-18 10:02:22	ga_s2bm_ard_3-2-1_55KCU_2021-05-18_final.stac-item
2021-05-18 10:02:25	ga_s2bm_ard_3-2-1_55KBU_2021-05-18_final.stac-item
2021-05-18 10:02:30	ga_s2bm_ard_3-2-1_55KET_2021-05-18_final.stac-item
2021-05-18 10:02:33	ga_s2bm_ard_3-2-1_55KDT_2021-05-18_final.stac-item
2021-05-18 10:02:36	ga_s2bm_ard_3-2-1_55KCT_2021-05-18_final.stac-item
2021-05-18 10:02:39	ga_s2bm_ard_3-2-1_55KBT_2021-05-18_final.stac-item
2021-05-18 10:02:41	ga_s2bm_ard_3-2-1_54KZC_2021-05-18_final.stac-item
2021-05-18 10:02:44	ga_s2bm_ard_3-2-1_55KES_2021-05-18_final.stac-item
2021-05-18 10:02:48	ga_s2bm_ard_3-2-1_55KDS_2021-05-18_final.stac-item
2021-05-18 10:02:51	ga_s2bm_ard_3-2-1_55KCS_2021-05-18_final.stac-item
2021-05-18 10:02:54	ga_s2bm_ard_3-2-1_55KBS_2021-05-18_final.stac-item
2021-05-18 10:02:54	ga_s2bm_ard_3-2-1_54KZB_2021-05-18_final.stac-item
2021-05-18 10:02:57	ga_s2bm_ard_3-2-1_55KER_2021-05-18_final.stac-item
2021-05-18 10:03:02	ga_s2bm_ard_3-2-1_55KDR_2021-05-18_final.stac-item
2021-05-18 10:03:05	ga_s2bm_ard_3-2-1_55KCR_2021-05-18_final.stac-item
2021-05-18 10:03:08	ga_s2bm_ard_3-2-1_55KEQ_2021-05-18_final.stac-item
2021-05-18 10:03:09	ga_s2bm_ard_3-2-1_55KBR_2021-05-18_final.stac-item
2021-05-18 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2021-05-18_final.stac-item
2021-05-18 10:03:16	ga_s2bm_ard_3-2-1_55KDQ_2021-05-18_final.stac-item
2021-05-18 10:03:20	ga_s2bm_ard_3-2-1_55KCQ_2021-05-18_final.stac-item
2021-05-18 10:03:23	ga_s2bm_ard_3-2-1_55KBQ_2021-05-18_final.stac-item
2021-05-18 10:03:23	ga_s2bm_ard_3-2-1_54KZV_2021-05-18_final.stac-item
2021-05-18 10:03:31	ga_s2bm_ard_3-2-1_55KDP_2021-05-18_final.stac-item
2021-05-18 10:03:31	ga_s2bm_ard_3-2-1_54KYV_2021-05-18_final.stac-item
2021-05-18 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2021-05-18_final.stac-item
2021-05-18 10:03:38	ga_s2bm_ard_3-2-1_55KBP_2021-05-18_final.stac-item
2021-05-18 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2021-05-18_final.stac-item
2021-05-18 10:03:42	ga_s2bm_ard_3-2-1_54KYU_2021-05-18_final.stac-item
2021-05-18 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2021-05-18_final.stac-item
2021-05-18 10:03:49	ga_s2bm_ard_3-2-1_55JCN_2021-05-18_final.stac-item
2021-05-18 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2021-05-18_final.stac-item
2021-05-18 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2021-05-18_final.stac-item
2021-05-18 10:03:55	ga_s2bm_ard_3-2-1_54JYT_2021-05-18_final.stac-item
2021-05-18 10:04:00	ga_s2bm_ard_3-2-1_55JDM_2021-05-18_final.stac-item
2021-05-18 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2021-05-18_final.stac-item
2021-05-18 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2021-05-18_final.stac-item
2021-05-18 10:04:07	ga_s2bm_ard_3-2-1_55JBM_2021-05-18_final.stac-item
2021-05-18 10:04:10	ga_s2bm_ard_3-2-1_54JYS_2021-05-18_final.stac-item
2021-05-18 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2021-05-18_final.stac-item
2021-05-18 10:04:18	ga_s2bm_ard_3-2-1_55JCL_2021-05-18_final.stac-item
2021-05-18 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2021-05-18_final.stac-item
2021-05-18 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2021-05-18_final.stac-item
2021-05-18 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2021-05-18_final.stac-item
2021-05-18 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2021-05-18_final.stac-item
2021-05-18 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2021-05-18_final.stac-item
2021-05-18 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2021-05-18_final.stac-item
2021-05-18 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2021-05-18_final.stac-item
2021-05-18 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2021-05-18_final.stac-item
2021-05-18 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2021-05-18_final.stac-item
2021-05-18 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2021-05-18_final.stac-item
2021-05-18 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2021-05-18_final.stac-item
2021-05-18 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2021-05-18_final.stac-item
2021-05-18 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2021-05-18_final.stac-item
2021-05-18 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2021-05-18_final.stac-item
2021-05-18 10:07:21	ga_s2bm_ard_3-2-1_54HXD_2021-05-18_final.stac-item
2021-05-18 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2021-05-18_final.stac-item
2021-05-18 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2021-05-18_final.stac-item
2021-05-18 10:07:34	ga_s2bm_ard_3-2-1_54HUD_2021-05-18_final
2021-05-18 10:07:36	ga_s2bm_ard_3-2-1_54HXC_2021-05-18_final.stac-item
2021-05-18 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2021-05-18_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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