Search ga_s2bm_ard_3 on 18th December 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
2021-12-18 09:43:46	ga_s2bm_ard_3-2-1_56JLS_2021-12-18_final.stac-item
2021-12-18 09:43:50	ga_s2bm_ard_3-2-1_56JKS_2021-12-18_final.stac-item
2021-12-18 09:43:59	ga_s2bm_ard_3-2-1_56JLR_2021-12-18_final.stac-item
2021-12-18 09:44:04	ga_s2bm_ard_3-2-1_56JKR_2021-12-18_final.stac-item
2021-12-18 09:44:10	ga_s2bm_ard_3-2-1_56JLQ_2021-12-18_final.stac-item
2021-12-18 09:44:18	ga_s2bm_ard_3-2-1_56JKQ_2021-12-18_final.stac-item
2021-12-18 09:44:33	ga_s2bm_ard_3-2-1_56JKP_2021-12-18_final.stac-item
2021-12-18 09:44:48	ga_s2bm_ard_3-2-1_56JKN_2021-12-18_final.stac-item
2021-12-18 09:45:02	ga_s2bm_ard_3-2-1_56JKM_2021-12-18_final.stac-item
2021-12-18 09:45:16	ga_s2bm_ard_3-2-1_56JKL_2021-12-18_final.stac-item
2021-12-18 09:45:26	ga_s2bm_ard_3-2-1_56HKK_2021-12-18_final.stac-item
2021-12-18 09:46:21	ga_s2bm_ard_3-2-1_55HFB_2021-12-18_final.stac-item
2021-12-18 09:46:21	ga_s2bm_ard_3-2-1_55HCC_2021-12-18_final.stac-item
2021-12-18 09:46:25	ga_s2bm_ard_3-2-1_55HEB_2021-12-18_final.stac-item
2021-12-18 09:46:29	ga_s2bm_ard_3-2-1_55HDB_2021-12-18_final.stac-item
2021-12-18 09:46:33	ga_s2bm_ard_3-2-1_55HCB_2021-12-18_final.stac-item
2021-12-18 09:46:36	ga_s2bm_ard_3-2-1_55HFA_2021-12-18_final.stac-item
2021-12-18 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2021-12-18_final.stac-item
2021-12-18 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2021-12-18_final.stac-item
2021-12-18 09:46:46	ga_s2bm_ard_3-2-1_55HCA_2021-12-18_final.stac-item
2021-12-18 09:46:50	ga_s2bm_ard_3-2-1_55HFV_2021-12-18_final.stac-item
2021-12-18 09:46:54	ga_s2bm_ard_3-2-1_55HEV_2021-12-18_final.stac-item
2021-12-18 09:46:58	ga_s2bm_ard_3-2-1_55HDV_2021-12-18_final.stac-item
2021-12-18 09:47:01	ga_s2bm_ard_3-2-1_55HCV_2021-12-18_final.stac-item
2021-12-18 09:47:03	ga_s2bm_ard_3-2-1_55HFU_2021-12-18_final
2021-12-18 09:47:08	ga_s2bm_ard_3-2-1_55HEU_2021-12-18_final.stac-item
2021-12-18 09:47:12	ga_s2bm_ard_3-2-1_55HDU_2021-12-18_final.stac-item
2021-12-18 09:47:13	ga_s2bm_ard_3-2-1_55HFT_2021-12-18_final
2021-12-18 09:47:16	ga_s2bm_ard_3-2-1_55HCU_2021-12-18_final.stac-item
2021-12-18 09:47:23	ga_s2bm_ard_3-2-1_55HET_2021-12-18_final.stac-item
2021-12-18 09:47:23	ga_s2bm_ard_3-2-1_55HBU_2021-12-18_final.stac-item
2021-12-18 09:47:27	ga_s2bm_ard_3-2-1_55HDT_2021-12-18_final.stac-item
2021-12-18 09:47:30	ga_s2bm_ard_3-2-1_55HCT_2021-12-18_final.stac-item
2021-12-18 09:47:34	ga_s2bm_ard_3-2-1_55HBT_2021-12-18_final.stac-item
2021-12-18 09:47:37	ga_s2bm_ard_3-2-1_55HES_2021-12-18_final.stac-item
2021-12-18 09:47:38	ga_s2bm_ard_3-2-1_54HYC_2021-12-18_final.stac-item
2021-12-18 09:47:41	ga_s2bm_ard_3-2-1_55HDS_2021-12-18_final.stac-item
2021-12-18 09:47:45	ga_s2bm_ard_3-2-1_55HCS_2021-12-18_final.stac-item
2021-12-18 09:47:48	ga_s2bm_ard_3-2-1_55HBS_2021-12-18_final.stac-item
2021-12-18 09:47:49	ga_s2bm_ard_3-2-1_54HYB_2021-12-18_final.stac-item
2021-12-18 09:47:52	ga_s2bm_ard_3-2-1_55GER_2021-12-18_final.stac-item
2021-12-18 09:47:56	ga_s2bm_ard_3-2-1_55GDR_2021-12-18_final.stac-item
2021-12-18 09:47:59	ga_s2bm_ard_3-2-1_55GCR_2021-12-18_final.stac-item
2021-12-18 09:48:02	ga_s2bm_ard_3-2-1_55GBR_2021-12-18_final.stac-item
2021-12-18 09:48:02	ga_s2bm_ard_3-2-1_54GYA_2021-12-18_final.stac-item
2021-12-18 09:48:03	ga_s2bm_ard_3-2-1_55GEQ_2021-12-18_final.stac-item
2021-12-18 09:48:05	ga_s2bm_ard_3-2-1_55GDQ_2021-12-18_final.stac-item
2021-12-18 09:48:07	ga_s2bm_ard_3-2-1_55GCR_2021-12-18_final.stac-item
2021-12-18 09:48:07	ga_s2bm_ard_3-2-1_55GCQ_2021-12-18_final.stac-item
2021-12-18 09:48:08	ga_s2bm_ard_3-2-1_55GBR_2021-12-18_final.stac-item
2021-12-18 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2021-12-18_final.stac-item
2021-12-18 09:48:08	ga_s2bm_ard_3-2-1_55GBQ_2021-12-18_final
2021-12-18 09:48:09	ga_s2bm_ard_3-2-1_54GYV_2021-12-18_final
2021-12-18 09:48:09	ga_s2bm_ard_3-2-1_55GEQ_2021-12-18_final.stac-item
2021-12-18 09:48:12	ga_s2bm_ard_3-2-1_55GDQ_2021-12-18_final.stac-item
2021-12-18 09:48:14	ga_s2bm_ard_3-2-1_55GCQ_2021-12-18_final.stac-item
2021-12-18 09:48:16	ga_s2bm_ard_3-2-1_55GEP_2021-12-18_final.stac-item
2021-12-18 09:48:17	ga_s2bm_ard_3-2-1_55GBQ_2021-12-18_final
2021-12-18 09:48:17	ga_s2bm_ard_3-2-1_54GYV_2021-12-18_final
2021-12-18 09:48:24	ga_s2bm_ard_3-2-1_55GDP_2021-12-18_final.stac-item
2021-12-18 09:48:28	ga_s2bm_ard_3-2-1_55GCP_2021-12-18_final.stac-item
2021-12-18 09:48:39	ga_s2bm_ard_3-2-1_55GDN_2021-12-18_final.stac-item
2021-12-18 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2021-12-18_final.stac-item
2021-12-18 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2021-12-18_final.stac-item
2021-12-18 11:25:25	ga_s2bm_ard_3-2-1_51JVJ_2021-12-18_final.stac-item
2021-12-18 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2021-12-18_final.stac-item
2021-12-18 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2021-12-18_final.stac-item
2021-12-18 11:25:36	ga_s2bm_ard_3-2-1_51JWH_2021-12-18_final.stac-item
2021-12-18 11:25:39	ga_s2bm_ard_3-2-1_51JYG_2021-12-18_final.stac-item
2021-12-18 11:25:40	ga_s2bm_ard_3-2-1_51JVH_2021-12-18_final.stac-item
2021-12-18 11:25:47	ga_s2bm_ard_3-2-1_51JXG_2021-12-18_final.stac-item
2021-12-18 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2021-12-18_final.stac-item
2021-12-18 11:25:54	ga_s2bm_ard_3-2-1_51JVG_2021-12-18_final.stac-item
2021-12-18 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2021-12-18_final.stac-item
2021-12-18 11:26:01	ga_s2bm_ard_3-2-1_51JXF_2021-12-18_final.stac-item
2021-12-18 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2021-12-18_final.stac-item
2021-12-18 11:26:08	ga_s2bm_ard_3-2-1_51JVF_2021-12-18_final.stac-item
2021-12-18 11:26:12	ga_s2bm_ard_3-2-1_51JUF_2021-12-18_final.stac-item
2021-12-18 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2021-12-18_final.stac-item
2021-12-18 11:26:20	ga_s2bm_ard_3-2-1_51HWE_2021-12-18_final.stac-item
2021-12-18 11:26:22	ga_s2bm_ard_3-2-1_51HVE_2021-12-18_final.stac-item
2021-12-18 11:26:24	ga_s2bm_ard_3-2-1_51HUE_2021-12-18_final.stac-item
2021-12-18 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2021-12-18_final.stac-item
2021-12-18 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2021-12-18_final.stac-item
2021-12-18 11:26:28	ga_s2bm_ard_3-2-1_51HWD_2021-12-18_final.stac-item
2021-12-18 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2021-12-18_final.stac-item
2021-12-18 11:26:29	ga_s2bm_ard_3-2-1_51HVD_2021-12-18_final.stac-item
2021-12-18 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-12-18_final.stac-item
2021-12-18 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2021-12-18_final.stac-item
2021-12-18 11:26:35	ga_s2bm_ard_3-2-1_51HWD_2021-12-18_final.stac-item
2021-12-18 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2021-12-18_final.stac-item
2021-12-18 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2021-12-18_final.stac-item
2021-12-18 11:26:41	ga_s2bm_ard_3-2-1_51HXC_2021-12-18_final
2021-12-18 11:26:48	ga_s2bm_ard_3-2-1_51HWC_2021-12-18_final
2021-12-18 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-18_final.stac-item
2021-12-18 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2021-12-18_final.stac-item
2021-12-18 11:27:01	ga_s2bm_ard_3-2-1_51HTC_2021-12-18_final.stac-item
2021-12-18 11:27:02	ga_s2bm_ard_3-2-1_51HWB_2021-12-18_final
2021-12-18 11:27:04	ga_s2bm_ard_3-2-1_51HVB_2021-12-18_final
2021-12-18 11:27:06	ga_s2bm_ard_3-2-1_51HUB_2021-12-18_final

Return to ga_s2bm_ard_3 on 18th December 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

December

18th