Search ga_s2bm_ard_3 on 29th 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
2019-07-29 11:11:45	ga_s2bm_ard_3-2-1_52LDJ_2019-07-29_final
2019-07-29 11:11:48	ga_s2bm_ard_3-2-1_52LGH_2019-07-29_final
2019-07-29 11:11:58	ga_s2bm_ard_3-2-1_52KGG_2019-07-29_final
2019-07-29 11:12:07	ga_s2bm_ard_3-2-1_52KFG_2019-07-29_final
2019-07-29 11:12:11	ga_s2bm_ard_3-2-1_52KEG_2019-07-29_final
2019-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KDG_2019-07-29_final
2019-07-29 11:12:19	ga_s2bm_ard_3-2-1_52KCG_2019-07-29_final
2019-07-29 11:12:22	ga_s2bm_ard_3-2-1_52KFF_2019-07-29_final
2019-07-29 11:12:25	ga_s2bm_ard_3-2-1_52KEF_2019-07-29_final
2019-07-29 11:12:29	ga_s2bm_ard_3-2-1_52KDF_2019-07-29_final
2019-07-29 11:12:32	ga_s2bm_ard_3-2-1_52KCF_2019-07-29_final
2019-07-29 11:12:36	ga_s2bm_ard_3-2-1_52KFE_2019-07-29_final
2019-07-29 11:12:40	ga_s2bm_ard_3-2-1_52KEE_2019-07-29_final
2019-07-29 11:12:43	ga_s2bm_ard_3-2-1_52KDE_2019-07-29_final
2019-07-29 11:12:46	ga_s2bm_ard_3-2-1_52KCE_2019-07-29_final
2019-07-29 11:12:50	ga_s2bm_ard_3-2-1_52KFD_2019-07-29_final
2019-07-29 11:12:54	ga_s2bm_ard_3-2-1_52KED_2019-07-29_final
2019-07-29 11:12:58	ga_s2bm_ard_3-2-1_52KDD_2019-07-29_final
2019-07-29 11:13:01	ga_s2bm_ard_3-2-1_52KCD_2019-07-29_final
2019-07-29 11:13:02	ga_s2bm_ard_3-2-1_52KFC_2019-07-29_final
2019-07-29 11:13:09	ga_s2bm_ard_3-2-1_52KEC_2019-07-29_final
2019-07-29 11:13:12	ga_s2bm_ard_3-2-1_52KDC_2019-07-29_final
2019-07-29 11:13:16	ga_s2bm_ard_3-2-1_52KCC_2019-07-29_final
2019-07-29 11:13:22	ga_s2bm_ard_3-2-1_52KBC_2019-07-29_final
2019-07-29 11:13:23	ga_s2bm_ard_3-2-1_52KEB_2019-07-29_final
2019-07-29 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-07-29_final
2019-07-29 11:13:30	ga_s2bm_ard_3-2-1_52KCB_2019-07-29_final
2019-07-29 11:13:34	ga_s2bm_ard_3-2-1_52KBB_2019-07-29_final
2019-07-29 11:13:37	ga_s2bm_ard_3-2-1_51KZS_2019-07-29_final
2019-07-29 11:13:38	ga_s2bm_ard_3-2-1_52KEA_2019-07-29_final
2019-07-29 11:13:41	ga_s2bm_ard_3-2-1_52KDA_2019-07-29_final
2019-07-29 11:13:45	ga_s2bm_ard_3-2-1_52KCA_2019-07-29_final
2019-07-29 11:13:47	ga_s2bm_ard_3-2-1_52KBA_2019-07-29_final
2019-07-29 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-07-29_final
2019-07-29 11:13:52	ga_s2bm_ard_3-2-1_52KEV_2019-07-29_final
2019-07-29 11:13:56	ga_s2bm_ard_3-2-1_52KDV_2019-07-29_final
2019-07-29 11:13:59	ga_s2bm_ard_3-2-1_52KCV_2019-07-29_final
2019-07-29 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-07-29_final
2019-07-29 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-07-29_final
2019-07-29 11:14:05	ga_s2bm_ard_3-2-1_52KEU_2019-07-29_final
2019-07-29 11:14:10	ga_s2bm_ard_3-2-1_52KDU_2019-07-29_final
2019-07-29 11:14:14	ga_s2bm_ard_3-2-1_52KCU_2019-07-29_final
2019-07-29 11:14:16	ga_s2bm_ard_3-2-1_52JET_2019-07-29_final
2019-07-29 11:14:17	ga_s2bm_ard_3-2-1_51KZP_2019-07-29_final
2019-07-29 11:14:17	ga_s2bm_ard_3-2-1_52KBU_2019-07-29_final
2019-07-29 11:14:25	ga_s2bm_ard_3-2-1_52JDT_2019-07-29_final
2019-07-29 11:14:28	ga_s2bm_ard_3-2-1_52JCT_2019-07-29_final
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final
2019-07-29 11:14:36	ga_s2bm_ard_3-2-1_52JDS_2019-07-29_final
2019-07-29 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final
2019-07-29 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2019-07-29_final
2019-07-29 11:14:41	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final
2019-07-29 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2019-07-29_final
2019-07-29 11:14:43	ga_s2bm_ard_3-2-1_52JDS_2019-07-29_final
2019-07-29 11:14:44	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-07-29 11:14:46	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final
2019-07-29 11:14:46	ga_s2bm_ard_3-2-1_52JBS_2019-07-29_final
2019-07-29 11:14:49	ga_s2bm_ard_3-2-1_51JYM_2019-07-29_final
2019-07-29 11:14:54	ga_s2bm_ard_3-2-1_52JDR_2019-07-29_final
2019-07-29 11:14:58	ga_s2bm_ard_3-2-1_52JCR_2019-07-29_final
2019-07-29 11:15:01	ga_s2bm_ard_3-2-1_52JBR_2019-07-29_final
2019-07-29 11:15:04	ga_s2bm_ard_3-2-1_51JYL_2019-07-29_final
2019-07-29 11:15:08	ga_s2bm_ard_3-2-1_52JDQ_2019-07-29_final
2019-07-29 11:15:12	ga_s2bm_ard_3-2-1_52JCQ_2019-07-29_final
2019-07-29 11:15:15	ga_s2bm_ard_3-2-1_52JBQ_2019-07-29_final
2019-07-29 11:15:18	ga_s2bm_ard_3-2-1_51JYK_2019-07-29_final
2019-07-29 11:15:20	ga_s2bm_ard_3-2-1_52JDP_2019-07-29_final
2019-07-29 11:15:26	ga_s2bm_ard_3-2-1_52JCP_2019-07-29_final
2019-07-29 11:15:30	ga_s2bm_ard_3-2-1_52JBP_2019-07-29_final
2019-07-29 11:15:33	ga_s2bm_ard_3-2-1_51JYJ_2019-07-29_final
2019-07-29 11:15:38	ga_s2bm_ard_3-2-1_51JXJ_2019-07-29_final
2019-07-29 11:15:41	ga_s2bm_ard_3-2-1_52JCN_2019-07-29_final
2019-07-29 11:15:45	ga_s2bm_ard_3-2-1_52JBN_2019-07-29_final
2019-07-29 11:15:47	ga_s2bm_ard_3-2-1_51JYH_2019-07-29_final
2019-07-29 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-07-29_final
2019-07-29 11:15:56	ga_s2bm_ard_3-2-1_52JCM_2019-07-29_final
2019-07-29 11:15:59	ga_s2bm_ard_3-2-1_52JBM_2019-07-29_final
2019-07-29 11:16:02	ga_s2bm_ard_3-2-1_51JYG_2019-07-29_final
2019-07-29 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2019-07-29_final
2019-07-29 11:16:10	ga_s2bm_ard_3-2-1_52JCL_2019-07-29_final
2019-07-29 11:16:14	ga_s2bm_ard_3-2-1_52JBL_2019-07-29_final
2019-07-29 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-07-29_final
2019-07-29 11:16:20	ga_s2bm_ard_3-2-1_51JXF_2019-07-29_final
2019-07-29 11:16:24	ga_s2bm_ard_3-2-1_52HCK_2019-07-29_final
2019-07-29 11:16:28	ga_s2bm_ard_3-2-1_51JWF_2019-07-29_final
2019-07-29 11:16:28	ga_s2bm_ard_3-2-1_52HBK_2019-07-29_final
2019-07-29 11:16:31	ga_s2bm_ard_3-2-1_51HYE_2019-07-29_final
2019-07-29 11:16:34	ga_s2bm_ard_3-2-1_51HXE_2019-07-29_final
2019-07-29 11:16:39	ga_s2bm_ard_3-2-1_51HWE_2019-07-29_final
2019-07-29 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-07-29_final
2019-07-29 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-07-29_final
2019-07-29 11:16:52	ga_s2bm_ard_3-2-1_51HWD_2019-07-29_final
2019-07-29 11:17:03	ga_s2bm_ard_3-2-1_51HXC_2019-07-29_final
2019-07-29 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-07-29_final
2019-07-29 11:17:14	ga_s2bm_ard_3-2-1_51HXB_2019-07-29_final

Return to ga_s2bm_ard_3 on 29th 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

29th