Search ga_s2bm_ard_3 on 12th July 2019

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
2019-07-12 09:43:47	ga_s2bm_ard_3-2-1_56JLT_2019-07-12_final
2019-07-12 09:43:50	ga_s2bm_ard_3-2-1_55JHN_2019-07-12_final
2019-07-12 09:43:50	ga_s2bm_ard_3-2-1_56JKT_2019-07-12_final
2019-07-12 09:43:53	ga_s2bm_ard_3-2-1_55JGN_2019-07-12_final
2019-07-12 09:43:57	ga_s2bm_ard_3-2-1_55JFN_2019-07-12_final
2019-07-12 09:44:01	ga_s2bm_ard_3-2-1_56JLS_2019-07-12_final
2019-07-12 09:44:04	ga_s2bm_ard_3-2-1_55JHM_2019-07-12_final
2019-07-12 09:44:04	ga_s2bm_ard_3-2-1_56JKS_2019-07-12_final
2019-07-12 09:44:08	ga_s2bm_ard_3-2-1_55JGM_2019-07-12_final
2019-07-12 09:44:11	ga_s2bm_ard_3-2-1_55JFM_2019-07-12_final
2019-07-12 09:44:22	ga_s2bm_ard_3-2-1_55JGL_2019-07-12_final
2019-07-12 09:44:25	ga_s2bm_ard_3-2-1_56JLQ_2019-07-12_final
2019-07-12 09:44:26	ga_s2bm_ard_3-2-1_55JFL_2019-07-12_final
2019-07-12 09:44:34	ga_s2bm_ard_3-2-1_55JEL_2019-07-12_final
2019-07-12 09:44:34	ga_s2bm_ard_3-2-1_55JGK_2019-07-12_final
2019-07-12 09:44:35	ga_s2bm_ard_3-2-1_55JFK_2019-07-12_final
2019-07-12 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2019-07-12_final
2019-07-12 09:44:39	ga_s2bm_ard_3-2-1_56JKQ_2019-07-12_final
2019-07-12 09:44:40	ga_s2bm_ard_3-2-1_55JGK_2019-07-12_final
2019-07-12 09:44:42	ga_s2bm_ard_3-2-1_55JFK_2019-07-12_final
2019-07-12 09:44:45	ga_s2bm_ard_3-2-1_55JEK_2019-07-12_final
2019-07-12 09:44:48	ga_s2bm_ard_3-2-1_56JKP_2019-07-12_final
2019-07-12 09:44:51	ga_s2bm_ard_3-2-1_55JGJ_2019-07-12_final
2019-07-12 09:44:55	ga_s2bm_ard_3-2-1_55JFJ_2019-07-12_final
2019-07-12 09:44:58	ga_s2bm_ard_3-2-1_55JEJ_2019-07-12_final
2019-07-12 09:45:06	ga_s2bm_ard_3-2-1_55JGH_2019-07-12_final
2019-07-12 09:45:09	ga_s2bm_ard_3-2-1_55JFH_2019-07-12_final
2019-07-12 09:45:13	ga_s2bm_ard_3-2-1_55JEH_2019-07-12_final
2019-07-12 09:45:17	ga_s2bm_ard_3-2-1_56JKM_2019-07-12_final
2019-07-12 09:45:20	ga_s2bm_ard_3-2-1_55JGG_2019-07-12_final
2019-07-12 09:45:24	ga_s2bm_ard_3-2-1_55JFG_2019-07-12_final
2019-07-12 09:45:27	ga_s2bm_ard_3-2-1_55JEG_2019-07-12_final
2019-07-12 09:45:31	ga_s2bm_ard_3-2-1_56JKL_2019-07-12_final
2019-07-12 09:45:34	ga_s2bm_ard_3-2-1_55JGF_2019-07-12_final
2019-07-12 09:45:35	ga_s2bm_ard_3-2-1_55JDG_2019-07-12_final
2019-07-12 09:45:38	ga_s2bm_ard_3-2-1_55JFF_2019-07-12_final
2019-07-12 09:45:41	ga_s2bm_ard_3-2-1_56HKK_2019-07-12_final
2019-07-12 09:45:42	ga_s2bm_ard_3-2-1_55JEF_2019-07-12_final
2019-07-12 09:45:46	ga_s2bm_ard_3-2-1_55JDF_2019-07-12_final
2019-07-12 09:45:49	ga_s2bm_ard_3-2-1_55HGE_2019-07-12_final
2019-07-12 09:45:53	ga_s2bm_ard_3-2-1_55HFE_2019-07-12_final
2019-07-12 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-07-12_final
2019-07-12 09:46:00	ga_s2bm_ard_3-2-1_55HDE_2019-07-12_final
2019-07-12 09:46:03	ga_s2bm_ard_3-2-1_55HGD_2019-07-12_final
2019-07-12 09:46:07	ga_s2bm_ard_3-2-1_55HFD_2019-07-12_final
2019-07-12 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-07-12_final
2019-07-12 09:46:14	ga_s2bm_ard_3-2-1_55HDD_2019-07-12_final
2019-07-12 11:24:24	ga_s2bm_ard_3-2-1_51KWP_2019-07-12_final
2019-07-12 11:24:28	ga_s2bm_ard_3-2-1_52JBT_2019-07-12_final
2019-07-12 11:24:28	ga_s2bm_ard_3-2-1_51JZN_2019-07-12_final
2019-07-12 11:24:31	ga_s2bm_ard_3-2-1_51JYN_2019-07-12_final
2019-07-12 11:24:35	ga_s2bm_ard_3-2-1_51JXN_2019-07-12_final
2019-07-12 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-07-12_final
2019-07-12 11:24:41	ga_s2bm_ard_3-2-1_51JZM_2019-07-12_final
2019-07-12 11:24:41	ga_s2bm_ard_3-2-1_52JBS_2019-07-12_final
2019-07-12 11:24:46	ga_s2bm_ard_3-2-1_51JYM_2019-07-12_final
2019-07-12 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2019-07-12_final
2019-07-12 11:24:52	ga_s2bm_ard_3-2-1_52JBR_2019-07-12_final
2019-07-12 11:24:53	ga_s2bm_ard_3-2-1_51JWM_2019-07-12_final
2019-07-12 11:25:00	ga_s2bm_ard_3-2-1_51JYL_2019-07-12_final
2019-07-12 11:25:04	ga_s2bm_ard_3-2-1_51JXL_2019-07-12_final
2019-07-12 11:25:07	ga_s2bm_ard_3-2-1_51JWL_2019-07-12_final
2019-07-12 11:25:12	ga_s2bm_ard_3-2-1_51JVL_2019-07-12_final
2019-07-12 11:25:14	ga_s2bm_ard_3-2-1_51JYK_2019-07-12_final
2019-07-12 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2019-07-12_final
2019-07-12 11:25:22	ga_s2bm_ard_3-2-1_51JWK_2019-07-12_final
2019-07-12 11:25:25	ga_s2bm_ard_3-2-1_51JVK_2019-07-12_final
2019-07-12 11:25:29	ga_s2bm_ard_3-2-1_51JYJ_2019-07-12_final
2019-07-12 11:25:33	ga_s2bm_ard_3-2-1_51JXJ_2019-07-12_final
2019-07-12 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-07-12_final
2019-07-12 11:25:40	ga_s2bm_ard_3-2-1_51JVJ_2019-07-12_final
2019-07-12 11:25:43	ga_s2bm_ard_3-2-1_51JYH_2019-07-12_final
2019-07-12 11:25:47	ga_s2bm_ard_3-2-1_51JXH_2019-07-12_final
2019-07-12 11:25:51	ga_s2bm_ard_3-2-1_51JWH_2019-07-12_final
2019-07-12 11:25:54	ga_s2bm_ard_3-2-1_51JYG_2019-07-12_final
2019-07-12 11:25:54	ga_s2bm_ard_3-2-1_51JVH_2019-07-12_final
2019-07-12 11:26:01	ga_s2bm_ard_3-2-1_51JXG_2019-07-12_final
2019-07-12 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-07-12_final
2019-07-12 11:26:09	ga_s2bm_ard_3-2-1_51JVG_2019-07-12_final
2019-07-12 11:26:14	ga_s2bm_ard_3-2-1_51JUG_2019-07-12_final
2019-07-12 11:26:16	ga_s2bm_ard_3-2-1_51JXF_2019-07-12_final
2019-07-12 11:26:20	ga_s2bm_ard_3-2-1_51JWF_2019-07-12_final
2019-07-12 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-07-12_final
2019-07-12 11:26:27	ga_s2bm_ard_3-2-1_51JUF_2019-07-12_final
2019-07-12 11:26:31	ga_s2bm_ard_3-2-1_51HXE_2019-07-12_final
2019-07-12 11:26:34	ga_s2bm_ard_3-2-1_51HWE_2019-07-12_final
2019-07-12 11:26:38	ga_s2bm_ard_3-2-1_51HVE_2019-07-12_final
2019-07-12 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-07-12_final
2019-07-12 11:26:45	ga_s2bm_ard_3-2-1_51HXD_2019-07-12_final
2019-07-12 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-12_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-07-12 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-07-12_final
2019-07-12 11:26:56	ga_s2bm_ard_3-2-1_51HXC_2019-07-12_final
2019-07-12 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2019-07-12_final
2019-07-12 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-07-12_final
2019-07-12 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-12_final
2019-07-12 11:27:16	ga_s2bm_ard_3-2-1_51HTC_2019-07-12_final
2019-07-12 11:27:17	ga_s2bm_ard_3-2-1_51HWB_2019-07-12_final
2019-07-12 11:27:19	ga_s2bm_ard_3-2-1_51HVB_2019-07-12_final
2019-07-12 11:27:21	ga_s2bm_ard_3-2-1_51HUB_2019-07-12_final

Return to ga_s2bm_ard_3 on 12th July 2019 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

2019

July

12th