Search ga_s2bm_ard_3 on 5th October 2021

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
2021-10-05 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2021-10-05_final.stac-item
2021-10-05 10:04:37	ga_s2bm_ard_3-2-1_55JBK_2021-10-05_final.stac-item
2021-10-05 10:04:44	ga_s2bm_ard_3-2-1_54JXQ_2021-10-05_final.stac-item
2021-10-05 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2021-10-05_final.stac-item
2021-10-05 10:04:58	ga_s2bm_ard_3-2-1_54JXP_2021-10-05_final.stac-item
2021-10-05 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2021-10-05_final.stac-item
2021-10-05 10:05:12	ga_s2bm_ard_3-2-1_54JXN_2021-10-05_final.stac-item
2021-10-05 10:05:20	ga_s2bm_ard_3-2-1_55JBG_2021-10-05_final.stac-item
2021-10-05 10:05:27	ga_s2bm_ard_3-2-1_54JXM_2021-10-05_final.stac-item
2021-10-05 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2021-10-05_final.stac-item
2021-10-05 10:05:35	ga_s2bm_ard_3-2-1_55JBF_2021-10-05_final.stac-item
2021-10-05 10:05:41	ga_s2bm_ard_3-2-1_54JXL_2021-10-05_final.stac-item
2021-10-05 10:05:45	ga_s2bm_ard_3-2-1_54JWL_2021-10-05_final.stac-item
2021-10-05 10:05:49	ga_s2bm_ard_3-2-1_55HBE_2021-10-05_final.stac-item
2021-10-05 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2021-10-05_final.stac-item
2021-10-05 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2021-10-05_final.stac-item
2021-10-05 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2021-10-05_final.stac-item
2021-10-05 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2021-10-05_final.stac-item
2021-10-05 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2021-10-05_final.stac-item
2021-10-05 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2021-10-05_final.stac-item
2021-10-05 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2021-10-05_final.stac-item
2021-10-05 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2021-10-05_final.stac-item
2021-10-05 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2021-10-05_final.stac-item
2021-10-05 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2021-10-05_final.stac-item
2021-10-05 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2021-10-05_final.stac-item
2021-10-05 10:06:33	ga_s2bm_ard_3-2-1_55HBB_2021-10-05_final.stac-item
2021-10-05 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2021-10-05_final.stac-item
2021-10-05 10:06:35	ga_s2bm_ard_3-2-1_54HYG_2021-10-05_final.stac-item
2021-10-05 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2021-10-05_final.stac-item
2021-10-05 10:06:43	ga_s2bm_ard_3-2-1_54HWG_2021-10-05_final.stac-item
2021-10-05 10:06:46	ga_s2bm_ard_3-2-1_55HBA_2021-10-05_final.stac-item
2021-10-05 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2021-10-05_final.stac-item
2021-10-05 10:06:50	ga_s2bm_ard_3-2-1_54HYF_2021-10-05_final.stac-item
2021-10-05 10:06:54	ga_s2bm_ard_3-2-1_54HXF_2021-10-05_final.stac-item
2021-10-05 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2021-10-05_final.stac-item
2021-10-05 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2021-10-05_final.stac-item
2021-10-05 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2021-10-05_final.stac-item
2021-10-05 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2021-10-05_final.stac-item
2021-10-05 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2021-10-05_final.stac-item
2021-10-05 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2021-10-05_final.stac-item
2021-10-05 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2021-10-05_final.stac-item
2021-10-05 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2021-10-05_final.stac-item
2021-10-05 10:07:22	ga_s2bm_ard_3-2-1_54HXD_2021-10-05_final.stac-item
2021-10-05 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2021-10-05_final.stac-item
2021-10-05 10:07:30	ga_s2bm_ard_3-2-1_54HVD_2021-10-05_final.stac-item
2021-10-05 10:07:35	ga_s2bm_ard_3-2-1_54HUD_2021-10-05_final
2021-10-05 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2021-10-05_final.stac-item
2021-10-05 10:07:41	ga_s2bm_ard_3-2-1_54HWC_2021-10-05_final.stac-item
2021-10-05 10:07:44	ga_s2bm_ard_3-2-1_54HVC_2021-10-05_final
2021-10-05 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-10-05_final
2021-10-05 11:41:01	ga_s2bm_ard_3-2-1_51LVG_2021-10-05_final.stac-item
2021-10-05 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2021-10-05_final.stac-item
2021-10-05 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2021-10-05_final.stac-item
2021-10-05 11:41:26	ga_s2bm_ard_3-2-1_51LWE_2021-10-05_final.stac-item
2021-10-05 11:41:30	ga_s2bm_ard_3-2-1_51LVE_2021-10-05_final.stac-item
2021-10-05 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-10-05_final.stac-item
2021-10-05 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2021-10-05_final
2021-10-05 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2021-10-05_final.stac-item
2021-10-05 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2021-10-05_final.stac-item
2021-10-05 11:42:02	ga_s2bm_ard_3-2-1_51LUC_2021-10-05_final
2021-10-05 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2021-10-05_final.stac-item
2021-10-05 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-10-05_final.stac-item
2021-10-05 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-10-05_final
2021-10-05 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2021-10-05_final.stac-item
2021-10-05 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-10-05_final.stac-item
2021-10-05 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2021-10-05_final.stac-item
2021-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-05_final.stac-item
2021-10-05 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-10-05_final.stac-item
2021-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-10-05_final.stac-item
2021-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-10-05_final.stac-item
2021-10-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-10-05_final.stac-item
2021-10-05 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-10-05_final.stac-item
2021-10-05 11:43:09	ga_s2bm_ard_3-2-1_50KQD_2021-10-05_final
2021-10-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-10-05_final.stac-item
2021-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final.stac-item
2021-10-05 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-10-05_final.stac-item
2021-10-05 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-10-05_final.stac-item
2021-10-05 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2021-10-05_final.stac-item
2021-10-05 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-10-05_final.stac-item
2021-10-05 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final.stac-item
2021-10-05 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2021-10-05_final.stac-item
2021-10-05 11:43:23	ga_s2bm_ard_3-2-1_50KRB_2021-10-05_final.stac-item
2021-10-05 11:43:24	ga_s2bm_ard_3-2-1_51KTT_2021-10-05_final.stac-item
2021-10-05 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-10-05_final.stac-item
2021-10-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-10-05_final.stac-item
2021-10-05 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-10-05_final.stac-item
2021-10-05 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-10-05_final.stac-item
2021-10-05 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2021-10-05_final.stac-item
2021-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-10-05_final.stac-item
2021-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-10-05_final.stac-item
2021-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-10-05_final.stac-item
2021-10-05 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2021-10-05_final.stac-item
2021-10-05 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-10-05_final.stac-item
2021-10-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-10-05_final.stac-item
2021-10-05 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-10-05_final.stac-item
2021-10-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-10-05_final.stac-item
2021-10-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-10-05_final.stac-item
2021-10-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-10-05_final
2021-10-05 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-10-05_final
2021-10-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-10-05_final

Return to ga_s2bm_ard_3 on 5th October 2021 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

2021

October

5th