Search ga_s2bm_ard_3 on 19th June 2020

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
2020-06-19 09:55:59	ga_s2bm_ard_3-2-1_54HYK_2020-06-19_final
2020-06-19 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2020-06-19_final
2020-06-19 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2020-06-19_final
2020-06-19 09:56:27	ga_s2bm_ard_3-2-1_54HYH_2020-06-19_final
2020-06-19 09:56:42	ga_s2bm_ard_3-2-1_54HYG_2020-06-19_final
2020-06-19 09:56:48	ga_s2bm_ard_3-2-1_54HXG_2020-06-19_final
2020-06-19 09:56:56	ga_s2bm_ard_3-2-1_54HYF_2020-06-19_final
2020-06-19 09:57:00	ga_s2bm_ard_3-2-1_54HXF_2020-06-19_final
2020-06-19 09:57:01	ga_s2bm_ard_3-2-1_55HDV_2020-06-19_final
2020-06-19 09:57:05	ga_s2bm_ard_3-2-1_55HCV_2020-06-19_final
2020-06-19 09:57:09	ga_s2bm_ard_3-2-1_55HBV_2020-06-19_final
2020-06-19 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2020-06-19_final
2020-06-19 09:57:11	ga_s2bm_ard_3-2-1_55HDU_2020-06-19_final
2020-06-19 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2020-06-19_final
2020-06-19 09:57:20	ga_s2bm_ard_3-2-1_55HCU_2020-06-19_final
2020-06-19 09:57:24	ga_s2bm_ard_3-2-1_55HBU_2020-06-19_final
2020-06-19 09:57:25	ga_s2bm_ard_3-2-1_54HYD_2020-06-19_final
2020-06-19 09:57:29	ga_s2bm_ard_3-2-1_54HXD_2020-06-19_final
2020-06-19 09:57:35	ga_s2bm_ard_3-2-1_55HCT_2020-06-19_final
2020-06-19 09:57:38	ga_s2bm_ard_3-2-1_55HBT_2020-06-19_final
2020-06-19 09:57:39	ga_s2bm_ard_3-2-1_54HYC_2020-06-19_final
2020-06-19 09:57:43	ga_s2bm_ard_3-2-1_54HXC_2020-06-19_final
2020-06-19 09:57:48	ga_s2bm_ard_3-2-1_54HWC_2020-06-19_final
2020-06-19 09:57:49	ga_s2bm_ard_3-2-1_55HCS_2020-06-19_final
2020-06-19 09:57:53	ga_s2bm_ard_3-2-1_55HBS_2020-06-19_final
2020-06-19 09:57:53	ga_s2bm_ard_3-2-1_54HYB_2020-06-19_final
2020-06-19 09:58:03	ga_s2bm_ard_3-2-1_55GCR_2020-06-19_final
2020-06-19 09:58:07	ga_s2bm_ard_3-2-1_55GBR_2020-06-19_final
2020-06-19 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2020-06-19_final
2020-06-19 09:58:16	ga_s2bm_ard_3-2-1_55GCQ_2020-06-19_final
2020-06-19 09:58:22	ga_s2bm_ard_3-2-1_55GBQ_2020-06-19_final
2020-06-19 09:58:22	ga_s2bm_ard_3-2-1_54GYV_2020-06-19_final
2020-06-19 09:58:26	ga_s2bm_ard_3-2-1_55GCP_2020-06-19_final
2020-06-19 11:31:20	ga_s2bm_ard_3-2-1_52LBK_2020-06-19_final
2020-06-19 11:31:23	ga_s2bm_ard_3-2-1_51LZE_2020-06-19_final
2020-06-19 11:31:27	ga_s2bm_ard_3-2-1_51LYE_2020-06-19_final
2020-06-19 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2020-06-19_final
2020-06-19 11:31:33	ga_s2bm_ard_3-2-1_51LWE_2020-06-19_final
2020-06-19 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2020-06-19_final
2020-06-19 11:31:41	ga_s2bm_ard_3-2-1_51LYD_2020-06-19_final
2020-06-19 11:31:45	ga_s2bm_ard_3-2-1_51LXD_2020-06-19_final
2020-06-19 11:31:51	ga_s2bm_ard_3-2-1_51LZC_2020-06-19_final
2020-06-19 11:31:56	ga_s2bm_ard_3-2-1_51LYC_2020-06-19_final
2020-06-19 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-06-19_final
2020-06-19 11:32:02	ga_s2bm_ard_3-2-1_51KZB_2020-06-19_final
2020-06-19 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2020-06-19_final
2020-06-19 11:32:10	ga_s2bm_ard_3-2-1_51KYB_2020-06-19_final
2020-06-19 11:32:14	ga_s2bm_ard_3-2-1_51KXB_2020-06-19_final
2020-06-19 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-06-19_final
2020-06-19 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-06-19_final
2020-06-19 11:32:24	ga_s2bm_ard_3-2-1_51KYA_2020-06-19_final
2020-06-19 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2020-06-19_final
2020-06-19 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2020-06-19_final
2020-06-19 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2020-06-19_final
2020-06-19 11:32:39	ga_s2bm_ard_3-2-1_51KYV_2020-06-19_final
2020-06-19 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2020-06-19_final
2020-06-19 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2020-06-19_final
2020-06-19 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2020-06-19_final
2020-06-19 11:35:18	ga_s2bm_ard_3-2-1_51JWK_2020-06-19_final
2020-06-19 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2020-06-19_final
2020-06-19 11:35:19	ga_s2bm_ard_3-2-1_51JVJ_2020-06-19_final
2020-06-19 11:35:20	ga_s2bm_ard_3-2-1_51JVK_2020-06-19_final
2020-06-19 11:35:22	ga_s2bm_ard_3-2-1_51JWJ_2020-06-19_final
2020-06-19 11:35:22	ga_s2bm_ard_3-2-1_51JUK_2020-06-19_final
2020-06-19 11:35:23	ga_s2bm_ard_3-2-1_51JTK_2020-06-19_final
2020-06-19 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2020-06-19_final
2020-06-19 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2020-06-19_final
2020-06-19 11:35:36	ga_s2bm_ard_3-2-1_51JTJ_2020-06-19_final
2020-06-19 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2020-06-19_final
2020-06-19 11:35:44	ga_s2bm_ard_3-2-1_51JVH_2020-06-19_final
2020-06-19 11:35:47	ga_s2bm_ard_3-2-1_51JUH_2020-06-19_final
2020-06-19 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2020-06-19_final
2020-06-19 11:35:53	ga_s2bm_ard_3-2-1_50JQN_2020-06-19_final
2020-06-19 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2020-06-19_final
2020-06-19 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2020-06-19_final
2020-06-19 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2020-06-19_final
2020-06-19 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2020-06-19_final
2020-06-19 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2020-06-19_final
2020-06-19 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-06-19_final
2020-06-19 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2020-06-19_final
2020-06-19 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2020-06-19_final
2020-06-19 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-06-19_final
2020-06-19 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-19_final
2020-06-19 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2020-06-19_final
2020-06-19 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-19_final
2020-06-19 11:36:36	ga_s2bm_ard_3-2-1_51HVD_2020-06-19_final
2020-06-19 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-19_final
2020-06-19 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-19_final
2020-06-19 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-06-19_final
2020-06-19 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-06-19_final
2020-06-19 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-19_final
2020-06-19 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-19_final
2020-06-19 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-19_final
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final
2020-06-19 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-19_final
2020-06-19 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2020-06-19_final
2020-06-19 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2020-06-19_final
2020-06-19 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-06-19_final
2020-06-19 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2020-06-19_final

Return to ga_s2bm_ard_3 on 19th June 2020 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

2020

June

19th