Search ga_s2bm_ard_3 on 27th April 2020

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
2020-04-27 09:41:19	ga_s2bm_ard_3-2-1_56KMG_2020-04-27_final
2020-04-27 09:41:22	ga_s2bm_ard_3-2-1_56KLG_2020-04-27_final
2020-04-27 09:41:25	ga_s2bm_ard_3-2-1_56KKG_2020-04-27_final
2020-04-27 09:41:27	ga_s2bm_ard_3-2-1_55KHB_2020-04-27_final
2020-04-27 09:46:15	ga_s2bm_ard_3-2-1_55HDC_2020-04-27_final.stac-item
2020-04-27 09:46:22	ga_s2bm_ard_3-2-1_55HFB_2020-04-27_final.stac-item
2020-04-27 09:46:23	ga_s2bm_ard_3-2-1_55HCC_2020-04-27_final.stac-item
2020-04-27 09:46:25	ga_s2bm_ard_3-2-1_55HEB_2020-04-27_final.stac-item
2020-04-27 09:46:27	ga_s2bm_ard_3-2-1_55HDB_2020-04-27_final.stac-item
2020-04-27 09:46:29	ga_s2bm_ard_3-2-1_55HCB_2020-04-27_final.stac-item
2020-04-27 09:46:30	ga_s2bm_ard_3-2-1_55HFB_2020-04-27_final.stac-item
2020-04-27 09:46:30	ga_s2bm_ard_3-2-1_55HFA_2020-04-27_final.stac-item
2020-04-27 09:46:31	ga_s2bm_ard_3-2-1_55HEA_2020-04-27_final.stac-item
2020-04-27 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2020-04-27_final.stac-item
2020-04-27 09:46:33	ga_s2bm_ard_3-2-1_55HDB_2020-04-27_final.stac-item
2020-04-27 09:46:36	ga_s2bm_ard_3-2-1_55HCB_2020-04-27_final.stac-item
2020-04-27 09:46:37	ga_s2bm_ard_3-2-1_55HFA_2020-04-27_final.stac-item
2020-04-27 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2020-04-27_final.stac-item
2020-04-27 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2020-04-27_final.stac-item
2020-04-27 09:46:47	ga_s2bm_ard_3-2-1_55HCA_2020-04-27_final.stac-item
2020-04-27 09:46:51	ga_s2bm_ard_3-2-1_55HFV_2020-04-27_final.stac-item
2020-04-27 09:46:55	ga_s2bm_ard_3-2-1_55HEV_2020-04-27_final.stac-item
2020-04-27 09:46:59	ga_s2bm_ard_3-2-1_55HDV_2020-04-27_final.stac-item
2020-04-27 09:47:02	ga_s2bm_ard_3-2-1_55HCV_2020-04-27_final.stac-item
2020-04-27 09:47:10	ga_s2bm_ard_3-2-1_55HEU_2020-04-27_final.stac-item
2020-04-27 09:47:13	ga_s2bm_ard_3-2-1_55HDU_2020-04-27_final.stac-item
2020-04-27 09:47:15	ga_s2bm_ard_3-2-1_55HFT_2020-04-27_final
2020-04-27 09:47:17	ga_s2bm_ard_3-2-1_55HCU_2020-04-27_final.stac-item
2020-04-27 09:47:24	ga_s2bm_ard_3-2-1_55HET_2020-04-27_final.stac-item
2020-04-27 09:47:25	ga_s2bm_ard_3-2-1_55HBU_2020-04-27_final.stac-item
2020-04-27 09:47:28	ga_s2bm_ard_3-2-1_55HDT_2020-04-27_final.stac-item
2020-04-27 09:47:31	ga_s2bm_ard_3-2-1_55HCT_2020-04-27_final.stac-item
2020-04-27 09:47:35	ga_s2bm_ard_3-2-1_55HBT_2020-04-27_final.stac-item
2020-04-27 09:47:39	ga_s2bm_ard_3-2-1_55HES_2020-04-27_final.stac-item
2020-04-27 09:47:40	ga_s2bm_ard_3-2-1_54HYC_2020-04-27_final.stac-item
2020-04-27 09:47:42	ga_s2bm_ard_3-2-1_55HDS_2020-04-27_final.stac-item
2020-04-27 09:47:46	ga_s2bm_ard_3-2-1_55HCS_2020-04-27_final.stac-item
2020-04-27 09:47:49	ga_s2bm_ard_3-2-1_55HBS_2020-04-27_final.stac-item
2020-04-27 09:47:50	ga_s2bm_ard_3-2-1_54HYB_2020-04-27_final.stac-item
2020-04-27 09:47:53	ga_s2bm_ard_3-2-1_55GER_2020-04-27_final.stac-item
2020-04-27 09:47:57	ga_s2bm_ard_3-2-1_55GDR_2020-04-27_final.stac-item
2020-04-27 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2020-04-27_final.stac-item
2020-04-27 09:48:04	ga_s2bm_ard_3-2-1_55GBR_2020-04-27_final.stac-item
2020-04-27 09:48:04	ga_s2bm_ard_3-2-1_54GYA_2020-04-27_final.stac-item
2020-04-27 09:48:07	ga_s2bm_ard_3-2-1_55GEQ_2020-04-27_final.stac-item
2020-04-27 09:48:11	ga_s2bm_ard_3-2-1_55GDQ_2020-04-27_final.stac-item
2020-04-27 09:48:15	ga_s2bm_ard_3-2-1_55GCQ_2020-04-27_final.stac-item
2020-04-27 09:48:17	ga_s2bm_ard_3-2-1_55GEP_2020-04-27_final.stac-item
2020-04-27 09:48:19	ga_s2bm_ard_3-2-1_54GYV_2020-04-27_final
2020-04-27 09:48:26	ga_s2bm_ard_3-2-1_55GDP_2020-04-27_final.stac-item
2020-04-27 09:48:30	ga_s2bm_ard_3-2-1_55GCP_2020-04-27_final.stac-item
2020-04-27 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2020-04-27_final.stac-item
2020-04-27 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2020-04-27_final.stac-item
2020-04-27 11:24:14	ga_s2bm_ard_3-2-1_52JBT_2020-04-27_final.stac-item
2020-04-27 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2020-04-27_final.stac-item
2020-04-27 11:24:25	ga_s2bm_ard_3-2-1_51JWN_2020-04-27_final.stac-item
2020-04-27 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2020-04-27_final.stac-item
2020-04-27 11:24:36	ga_s2bm_ard_3-2-1_51JXM_2020-04-27_final.stac-item
2020-04-27 11:24:39	ga_s2bm_ard_3-2-1_52JBR_2020-04-27_final.stac-item
2020-04-27 11:24:39	ga_s2bm_ard_3-2-1_51JWM_2020-04-27_final.stac-item
2020-04-27 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2020-04-27_final.stac-item
2020-04-27 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2020-04-27_final.stac-item
2020-04-27 11:24:54	ga_s2bm_ard_3-2-1_51JWL_2020-04-27_final.stac-item
2020-04-27 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2020-04-27_final.stac-item
2020-04-27 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2020-04-27_final.stac-item
2020-04-27 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2020-04-27_final.stac-item
2020-04-27 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2020-04-27_final.stac-item
2020-04-27 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2020-04-27_final.stac-item
2020-04-27 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2020-04-27_final.stac-item
2020-04-27 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2020-04-27_final.stac-item
2020-04-27 11:25:23	ga_s2bm_ard_3-2-1_51JWJ_2020-04-27_final.stac-item
2020-04-27 11:25:26	ga_s2bm_ard_3-2-1_51JVJ_2020-04-27_final.stac-item
2020-04-27 11:25:29	ga_s2bm_ard_3-2-1_51JYH_2020-04-27_final.stac-item
2020-04-27 11:25:34	ga_s2bm_ard_3-2-1_51JXH_2020-04-27_final.stac-item
2020-04-27 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2020-04-27_final.stac-item
2020-04-27 11:25:40	ga_s2bm_ard_3-2-1_51JYG_2020-04-27_final.stac-item
2020-04-27 11:25:41	ga_s2bm_ard_3-2-1_51JVH_2020-04-27_final.stac-item
2020-04-27 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2020-04-27_final.stac-item
2020-04-27 11:25:52	ga_s2bm_ard_3-2-1_51JWG_2020-04-27_final.stac-item
2020-04-27 11:25:55	ga_s2bm_ard_3-2-1_51JVG_2020-04-27_final.stac-item
2020-04-27 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2020-04-27_final.stac-item
2020-04-27 11:26:02	ga_s2bm_ard_3-2-1_51JXF_2020-04-27_final.stac-item
2020-04-27 11:26:06	ga_s2bm_ard_3-2-1_51JWF_2020-04-27_final.stac-item
2020-04-27 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-04-27_final.stac-item
2020-04-27 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2020-04-27_final.stac-item
2020-04-27 11:26:17	ga_s2bm_ard_3-2-1_51HXE_2020-04-27_final.stac-item
2020-04-27 11:26:21	ga_s2bm_ard_3-2-1_51HWE_2020-04-27_final.stac-item
2020-04-27 11:26:24	ga_s2bm_ard_3-2-1_51HVE_2020-04-27_final.stac-item
2020-04-27 11:26:27	ga_s2bm_ard_3-2-1_51HUE_2020-04-27_final.stac-item
2020-04-27 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2020-04-27_final.stac-item
2020-04-27 11:26:35	ga_s2bm_ard_3-2-1_51HWD_2020-04-27_final.stac-item
2020-04-27 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2020-04-27_final.stac-item
2020-04-27 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2020-04-27_final.stac-item
2020-04-27 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2020-04-27_final
2020-04-27 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2020-04-27_final.stac-item
2020-04-27 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-04-27_final.stac-item
2020-04-27 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2020-04-27_final.stac-item
2020-04-27 11:27:03	ga_s2bm_ard_3-2-1_51HWB_2020-04-27_final
2020-04-27 11:27:05	ga_s2bm_ard_3-2-1_51HVB_2020-04-27_final
2020-04-27 11:27:07	ga_s2bm_ard_3-2-1_51HUB_2020-04-27_final

Return to ga_s2bm_ard_3 on 27th April 2020 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

2020

April

27th