Search ga_s2bm_ard_3 on 12th June 2022

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-06-12 10:03:12	ga_s2bm_ard_3-2-1_54KZA_2022-06-12_final
2022-06-12 10:03:27	ga_s2bm_ard_3-2-1_54KZV_2022-06-12_final
2022-06-12 10:03:34	ga_s2bm_ard_3-2-1_54KYV_2022-06-12_final
2022-06-12 10:03:41	ga_s2bm_ard_3-2-1_54KZU_2022-06-12_final
2022-06-12 10:03:45	ga_s2bm_ard_3-2-1_54KYU_2022-06-12_final
2022-06-12 10:03:49	ga_s2bm_ard_3-2-1_55JDN_2022-06-12_final
2022-06-12 10:03:52	ga_s2bm_ard_3-2-1_55JCN_2022-06-12_final
2022-06-12 10:03:55	ga_s2bm_ard_3-2-1_54JZT_2022-06-12_final
2022-06-12 10:03:55	ga_s2bm_ard_3-2-1_55JBN_2022-06-12_final
2022-06-12 10:03:59	ga_s2bm_ard_3-2-1_54JYT_2022-06-12_final
2022-06-12 10:04:03	ga_s2bm_ard_3-2-1_55JDM_2022-06-12_final
2022-06-12 10:04:07	ga_s2bm_ard_3-2-1_55JCM_2022-06-12_final
2022-06-12 10:04:10	ga_s2bm_ard_3-2-1_54JZS_2022-06-12_final
2022-06-12 10:04:10	ga_s2bm_ard_3-2-1_55JBM_2022-06-12_final
2022-06-12 10:04:13	ga_s2bm_ard_3-2-1_54JYS_2022-06-12_final
2022-06-12 10:04:16	ga_s2bm_ard_3-2-1_55JDL_2022-06-12_final
2022-06-12 10:04:21	ga_s2bm_ard_3-2-1_55JCL_2022-06-12_final
2022-06-12 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2022-06-12_final
2022-06-12 10:04:26	ga_s2bm_ard_3-2-1_55JDK_2022-06-12_final
2022-06-12 10:04:28	ga_s2bm_ard_3-2-1_54JYR_2022-06-12_final
2022-06-12 10:04:35	ga_s2bm_ard_3-2-1_54JXR_2022-06-12_final
2022-06-12 10:04:36	ga_s2bm_ard_3-2-1_55JCK_2022-06-12_final
2022-06-12 10:04:39	ga_s2bm_ard_3-2-1_55JBK_2022-06-12_final
2022-06-12 10:04:42	ga_s2bm_ard_3-2-1_54JYQ_2022-06-12_final
2022-06-12 10:04:46	ga_s2bm_ard_3-2-1_54JXQ_2022-06-12_final
2022-06-12 10:04:50	ga_s2bm_ard_3-2-1_55JCJ_2022-06-12_final
2022-06-12 10:04:54	ga_s2bm_ard_3-2-1_55JBJ_2022-06-12_final
2022-06-12 10:04:57	ga_s2bm_ard_3-2-1_54JYP_2022-06-12_final
2022-06-12 10:05:00	ga_s2bm_ard_3-2-1_54JXP_2022-06-12_final
2022-06-12 10:05:05	ga_s2bm_ard_3-2-1_55JCH_2022-06-12_final
2022-06-12 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2022-06-12_final
2022-06-12 10:05:11	ga_s2bm_ard_3-2-1_54JYN_2022-06-12_final
2022-06-12 10:05:15	ga_s2bm_ard_3-2-1_54JXN_2022-06-12_final
2022-06-12 10:05:23	ga_s2bm_ard_3-2-1_55JBG_2022-06-12_final
2022-06-12 10:05:26	ga_s2bm_ard_3-2-1_54JYM_2022-06-12_final
2022-06-12 10:05:29	ga_s2bm_ard_3-2-1_54JXM_2022-06-12_final
2022-06-12 10:05:31	ga_s2bm_ard_3-2-1_55JCF_2022-06-12_final
2022-06-12 10:05:34	ga_s2bm_ard_3-2-1_55JBF_2022-06-12_final
2022-06-12 10:05:35	ga_s2bm_ard_3-2-1_54JWM_2022-06-12_final
2022-06-12 10:05:35	ga_s2bm_ard_3-2-1_54JYL_2022-06-12_final
2022-06-12 10:05:37	ga_s2bm_ard_3-2-1_55JCF_2022-06-12_final
2022-06-12 10:05:37	ga_s2bm_ard_3-2-1_54JXM_2022-06-12_final
2022-06-12 10:05:37	ga_s2bm_ard_3-2-1_54JXL_2022-06-12_final
2022-06-12 10:05:38	ga_s2bm_ard_3-2-1_54JWM_2022-06-12_final
2022-06-12 10:05:39	ga_s2bm_ard_3-2-1_54JWL_2022-06-12_final
2022-06-12 10:05:40	ga_s2bm_ard_3-2-1_55JBF_2022-06-12_final
2022-06-12 10:05:42	ga_s2bm_ard_3-2-1_54JYL_2022-06-12_final
2022-06-12 10:05:44	ga_s2bm_ard_3-2-1_54JXL_2022-06-12_final
2022-06-12 10:05:47	ga_s2bm_ard_3-2-1_54JWL_2022-06-12_final
2022-06-12 10:05:52	ga_s2bm_ard_3-2-1_55HBE_2022-06-12_final
2022-06-12 10:05:54	ga_s2bm_ard_3-2-1_54HYK_2022-06-12_final
2022-06-12 10:05:58	ga_s2bm_ard_3-2-1_54HXK_2022-06-12_final
2022-06-12 10:06:02	ga_s2bm_ard_3-2-1_54HWK_2022-06-12_final
2022-06-12 10:06:07	ga_s2bm_ard_3-2-1_55HBD_2022-06-12_final
2022-06-12 10:06:09	ga_s2bm_ard_3-2-1_54HYJ_2022-06-12_final
2022-06-12 10:06:13	ga_s2bm_ard_3-2-1_54HXJ_2022-06-12_final
2022-06-12 10:06:16	ga_s2bm_ard_3-2-1_54HWJ_2022-06-12_final
2022-06-12 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2022-06-12_final
2022-06-12 10:06:23	ga_s2bm_ard_3-2-1_54HYH_2022-06-12_final
2022-06-12 10:06:27	ga_s2bm_ard_3-2-1_54HXH_2022-06-12_final
2022-06-12 10:06:31	ga_s2bm_ard_3-2-1_54HWH_2022-06-12_final
2022-06-12 10:06:35	ga_s2bm_ard_3-2-1_55HBB_2022-06-12_final
2022-06-12 10:06:36	ga_s2bm_ard_3-2-1_54HVH_2022-06-12_final
2022-06-12 10:06:37	ga_s2bm_ard_3-2-1_54HYG_2022-06-12_final
2022-06-12 10:06:42	ga_s2bm_ard_3-2-1_54HXG_2022-06-12_final
2022-06-12 10:06:45	ga_s2bm_ard_3-2-1_54HWG_2022-06-12_final
2022-06-12 10:06:48	ga_s2bm_ard_3-2-1_55HBA_2022-06-12_final
2022-06-12 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2022-06-12_final
2022-06-12 10:06:52	ga_s2bm_ard_3-2-1_54HYF_2022-06-12_final
2022-06-12 10:06:56	ga_s2bm_ard_3-2-1_54HXF_2022-06-12_final
2022-06-12 10:06:58	ga_s2bm_ard_3-2-1_55HBV_2022-06-12_final
2022-06-12 10:07:00	ga_s2bm_ard_3-2-1_54HWF_2022-06-12_final
2022-06-12 10:07:03	ga_s2bm_ard_3-2-1_54HVF_2022-06-12_final
2022-06-12 10:07:06	ga_s2bm_ard_3-2-1_54HYE_2022-06-12_final
2022-06-12 10:07:10	ga_s2bm_ard_3-2-1_54HXE_2022-06-12_final
2022-06-12 10:07:14	ga_s2bm_ard_3-2-1_54HWE_2022-06-12_final
2022-06-12 10:07:17	ga_s2bm_ard_3-2-1_54HYD_2022-06-12_final
2022-06-12 10:07:18	ga_s2bm_ard_3-2-1_54HVE_2022-06-12_final
2022-06-12 10:07:25	ga_s2bm_ard_3-2-1_54HXD_2022-06-12_final
2022-06-12 10:07:29	ga_s2bm_ard_3-2-1_54HWD_2022-06-12_final
2022-06-12 10:07:32	ga_s2bm_ard_3-2-1_54HVD_2022-06-12_final
2022-06-12 10:07:37	ga_s2bm_ard_3-2-1_54HUD_2022-06-12_final
2022-06-12 10:07:39	ga_s2bm_ard_3-2-1_54HXC_2022-06-12_final
2022-06-12 10:07:43	ga_s2bm_ard_3-2-1_54HWC_2022-06-12_final
2022-06-12 10:07:47	ga_s2bm_ard_3-2-1_54HVC_2022-06-12_final
2022-06-12 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2022-06-12_final
2022-06-12 11:41:03	ga_s2bm_ard_3-2-1_51LVG_2022-06-12_final
2022-06-12 11:41:18	ga_s2bm_ard_3-2-1_51LVF_2022-06-12_final
2022-06-12 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2022-06-12_final
2022-06-12 11:41:29	ga_s2bm_ard_3-2-1_51LWE_2022-06-12_final
2022-06-12 11:41:32	ga_s2bm_ard_3-2-1_51LVE_2022-06-12_final
2022-06-12 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-06-12_final
2022-06-12 11:41:50	ga_s2bm_ard_3-2-1_51LUD_2022-06-12_final
2022-06-12 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2022-06-12_final
2022-06-12 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2022-06-12_final
2022-06-12 11:42:05	ga_s2bm_ard_3-2-1_51LUC_2022-06-12_final
2022-06-12 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2022-06-12_final
2022-06-12 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2022-06-12_final
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_final
2022-06-12 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2022-06-12_final

Return to ga_s2bm_ard_3 on 12th June 2022 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2022

June

12th