Search ga_s2bm_ard_3 on 30th May 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
2022-05-30 09:55:57	ga_s2bm_ard_3-2-1_54HYK_2022-05-30_final
2022-05-30 09:56:08	ga_s2bm_ard_3-2-1_55HBD_2022-05-30_final
2022-05-30 09:56:10	ga_s2bm_ard_3-2-1_54HYJ_2022-05-30_final
2022-05-30 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2022-05-30_final
2022-05-30 09:56:34	ga_s2bm_ard_3-2-1_55HCB_2022-05-30_final
2022-05-30 09:56:37	ga_s2bm_ard_3-2-1_55HBB_2022-05-30_final
2022-05-30 09:56:39	ga_s2bm_ard_3-2-1_54HYG_2022-05-30_final
2022-05-30 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2022-05-30_final
2022-05-30 09:56:46	ga_s2bm_ard_3-2-1_54HXG_2022-05-30_final
2022-05-30 09:56:49	ga_s2bm_ard_3-2-1_55HCA_2022-05-30_final
2022-05-30 09:56:52	ga_s2bm_ard_3-2-1_55HBA_2022-05-30_final
2022-05-30 09:56:53	ga_s2bm_ard_3-2-1_54HYF_2022-05-30_final
2022-05-30 09:56:57	ga_s2bm_ard_3-2-1_54HXF_2022-05-30_final
2022-05-30 09:56:58	ga_s2bm_ard_3-2-1_55HDV_2022-05-30_final
2022-05-30 09:57:03	ga_s2bm_ard_3-2-1_55HCV_2022-05-30_final
2022-05-30 09:57:06	ga_s2bm_ard_3-2-1_55HBV_2022-05-30_final
2022-05-30 09:57:08	ga_s2bm_ard_3-2-1_54HYE_2022-05-30_final
2022-05-30 09:57:08	ga_s2bm_ard_3-2-1_55HDU_2022-05-30_final
2022-05-30 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2022-05-30_final
2022-05-30 09:57:13	ga_s2bm_ard_3-2-1_55HCU_2022-05-30_final
2022-05-30 09:57:14	ga_s2bm_ard_3-2-1_55HBV_2022-05-30_final
2022-05-30 09:57:14	ga_s2bm_ard_3-2-1_55HBU_2022-05-30_final
2022-05-30 09:57:15	ga_s2bm_ard_3-2-1_54HYE_2022-05-30_final
2022-05-30 09:57:15	ga_s2bm_ard_3-2-1_54HYD_2022-05-30_final
2022-05-30 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2022-05-30_final
2022-05-30 09:57:19	ga_s2bm_ard_3-2-1_55HCU_2022-05-30_final
2022-05-30 09:57:21	ga_s2bm_ard_3-2-1_55HBU_2022-05-30_final
2022-05-30 09:57:22	ga_s2bm_ard_3-2-1_54HYD_2022-05-30_final
2022-05-30 09:57:26	ga_s2bm_ard_3-2-1_54HXD_2022-05-30_final
2022-05-30 09:57:32	ga_s2bm_ard_3-2-1_55HCT_2022-05-30_final
2022-05-30 09:57:36	ga_s2bm_ard_3-2-1_55HBT_2022-05-30_final
2022-05-30 09:57:37	ga_s2bm_ard_3-2-1_54HYC_2022-05-30_final
2022-05-30 09:57:40	ga_s2bm_ard_3-2-1_54HXC_2022-05-30_final
2022-05-30 09:57:45	ga_s2bm_ard_3-2-1_54HWC_2022-05-30_final
2022-05-30 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2022-05-30_final
2022-05-30 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2022-05-30_final
2022-05-30 09:57:51	ga_s2bm_ard_3-2-1_54HYB_2022-05-30_final
2022-05-30 09:58:01	ga_s2bm_ard_3-2-1_55GCR_2022-05-30_final
2022-05-30 09:58:05	ga_s2bm_ard_3-2-1_55GBR_2022-05-30_final
2022-05-30 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2022-05-30_final
2022-05-30 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-05-30_final
2022-05-30 09:58:19	ga_s2bm_ard_3-2-1_55GBQ_2022-05-30_final
2022-05-30 09:58:19	ga_s2bm_ard_3-2-1_54GYV_2022-05-30_final
2022-05-30 09:58:23	ga_s2bm_ard_3-2-1_55GCP_2022-05-30_final
2022-05-30 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2022-05-30_final
2022-05-30 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2022-05-30_final
2022-05-30 11:31:24	ga_s2bm_ard_3-2-1_51LYE_2022-05-30_final
2022-05-30 11:31:29	ga_s2bm_ard_3-2-1_52LBJ_2022-05-30_final
2022-05-30 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2022-05-30_final
2022-05-30 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2022-05-30_final
2022-05-30 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2022-05-30_final
2022-05-30 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2022-05-30_final
2022-05-30 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2022-05-30_final
2022-05-30 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2022-05-30_final
2022-05-30 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2022-05-30_final
2022-05-30 11:34:49	ga_s2bm_ard_3-2-1_51JTM_2022-05-30_final
2022-05-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2022-05-30_final
2022-05-30 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2022-05-30_final
2022-05-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-30_final
2022-05-30 11:35:04	ga_s2bm_ard_3-2-1_51JTL_2022-05-30_final
2022-05-30 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2022-05-30_final
2022-05-30 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2022-05-30_final
2022-05-30 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-05-30_final
2022-05-30 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2022-05-30_final
2022-05-30 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2022-05-30_final
2022-05-30 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-05-30_final
2022-05-30 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2022-05-30_final
2022-05-30 11:35:33	ga_s2bm_ard_3-2-1_51JTJ_2022-05-30_final
2022-05-30 11:35:37	ga_s2bm_ard_3-2-1_50JQP_2022-05-30_final
2022-05-30 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-05-30_final
2022-05-30 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2022-05-30_final
2022-05-30 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2022-05-30_final
2022-05-30 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2022-05-30_final
2022-05-30 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-30_final
2022-05-30 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2022-05-30_final
2022-05-30 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2022-05-30_final
2022-05-30 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-30_final
2022-05-30 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2022-05-30_final
2022-05-30 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2022-05-30_final
2022-05-30 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2022-05-30_final
2022-05-30 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2022-05-30_final
2022-05-30 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2022-05-30_final
2022-05-30 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2022-05-30_final
2022-05-30 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-05-30_final
2022-05-30 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2022-05-30_final
2022-05-30 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2022-05-30_final
2022-05-30 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-05-30_final
2022-05-30 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-05-30_final
2022-05-30 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-05-30_final
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final
2022-05-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-30_final
2022-05-30 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-30_final
2022-05-30 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-05-30_final
2022-05-30 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-30_final
2022-05-30 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-30_final
2022-05-30 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2022-05-30_final
2022-05-30 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2022-05-30_final
2022-05-30 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2022-05-30_final
2022-05-30 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-05-30_final
2022-05-30 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-30_final

Return to ga_s2bm_ard_3 on 30th May 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

May

30th