Search ga_s2bm_ard_3 across April 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
2020-04-01 09:23:37	ga_s2bm_ard_3-2-1_56JNT_2020-03-31_final
2020-04-01 09:23:52	ga_s2bm_ard_3-2-1_56JNS_2020-03-31_final
2020-04-01 09:24:06	ga_s2bm_ard_3-2-1_56JNR_2020-03-31_final
2020-04-01 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2020-03-31_final
2020-04-03 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2020-04-03_final
2020-04-03 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2020-04-03_final
2020-04-03 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2020-04-03_final
2020-04-03 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2020-04-03_final
2020-04-03 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2020-04-03_final
2020-04-03 11:44:13	ga_s2bm_ard_3-2-1_51KTP_2020-04-03_final
2020-04-03 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2020-04-03_final
2020-04-03 11:44:20	ga_s2bm_ard_3-2-1_50KPU_2020-04-03_final
2020-04-03 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2020-04-03_final
2020-04-03 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2020-04-03_final
2020-04-03 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2020-04-03_final
2020-04-03 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2020-04-03_final
2020-04-03 11:44:38	ga_s2bm_ard_3-2-1_51JUM_2020-04-03_final
2020-04-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2020-04-03_final
2020-04-03 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2020-04-03_final
2020-04-03 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2020-04-03_final
2020-04-03 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2020-04-03_final
2020-04-03 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2020-04-03_final
2020-04-03 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2020-04-03_final
2020-04-03 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2020-04-03_final
2020-04-03 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2020-04-03_final
2020-04-03 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2020-04-03_final
2020-04-03 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2020-04-03_final
2020-04-03 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2020-04-03_final
2020-04-03 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2020-04-03_final
2020-04-03 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2020-04-03_final
2020-04-03 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2020-04-03_final
2020-04-03 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2020-04-03_final
2020-04-03 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2020-04-03_final
2020-04-03 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2020-04-03_final
2020-04-03 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2020-04-03_final
2020-04-03 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2020-04-03_final
2020-04-03 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2020-04-03_final
2020-04-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2020-04-03_final
2020-04-03 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2020-04-03_final
2020-04-03 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2020-04-03_final
2020-04-03 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2020-04-03_final
2020-04-03 11:46:05	ga_s2bm_ard_3-2-1_51JTF_2020-04-03_final
2020-04-03 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2020-04-03_final
2020-04-03 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2020-04-03_final
2020-04-03 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2020-04-03_final
2020-04-03 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2020-04-03_final
2020-04-03 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2020-04-03_final
2020-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-04-03_final
2020-04-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-04-03_final
2020-04-03 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-04-03_final
2020-04-03 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-04-03_final
2020-04-03 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-04-03_final
2020-04-04 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2020-04-04_final
2020-04-04 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2020-04-04_final
2020-04-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-04-04_final
2020-04-04 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2020-04-04_final
2020-04-04 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2020-04-04_final
2020-04-04 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2020-04-04_final
2020-04-04 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2020-04-04_final
2020-04-04 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2020-04-04_final
2020-04-04 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2020-04-04_final
2020-04-04 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2020-04-04_final
2020-04-04 11:13:36	ga_s2bm_ard_3-2-1_52KBA_2020-04-04_final
2020-04-04 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2020-04-04_final
2020-04-04 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2020-04-04_final
2020-04-04 11:13:45	ga_s2bm_ard_3-2-1_52KDV_2020-04-04_final
2020-04-04 11:13:48	ga_s2bm_ard_3-2-1_52KCV_2020-04-04_final
2020-04-04 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2020-04-04_final
2020-04-04 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2020-04-04_final
2020-04-04 11:13:54	ga_s2bm_ard_3-2-1_52KEU_2020-04-04_final
2020-04-04 11:13:59	ga_s2bm_ard_3-2-1_52KDU_2020-04-04_final
2020-04-04 11:14:03	ga_s2bm_ard_3-2-1_52KCU_2020-04-04_final
2020-04-04 11:14:05	ga_s2bm_ard_3-2-1_52JET_2020-04-04_final
2020-04-04 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2020-04-04_final
2020-04-04 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2020-04-04_final
2020-04-04 11:14:14	ga_s2bm_ard_3-2-1_52JDT_2020-04-04_final
2020-04-04 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2020-04-04_final
2020-04-04 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2020-04-04_final
2020-04-04 11:14:20	ga_s2bm_ard_3-2-1_52JBT_2020-04-04_final
2020-04-04 11:14:26	ga_s2bm_ard_3-2-1_51JYN_2020-04-04_final
2020-04-04 11:14:28	ga_s2bm_ard_3-2-1_52JDS_2020-04-04_final
2020-04-04 11:14:32	ga_s2bm_ard_3-2-1_52JCS_2020-04-04_final
2020-04-04 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2020-04-04_final
2020-04-04 11:14:35	ga_s2bm_ard_3-2-1_52JBS_2020-04-04_final
2020-04-04 11:14:38	ga_s2bm_ard_3-2-1_51JYM_2020-04-04_final
2020-04-04 11:14:43	ga_s2bm_ard_3-2-1_52JDR_2020-04-04_final
2020-04-04 11:14:46	ga_s2bm_ard_3-2-1_52JCR_2020-04-04_final
2020-04-04 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2020-04-04_final
2020-04-04 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2020-04-04_final
2020-04-04 11:14:57	ga_s2bm_ard_3-2-1_52JDQ_2020-04-04_final
2020-04-04 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2020-04-04_final
2020-04-04 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2020-04-04_final
2020-04-04 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2020-04-04_final
2020-04-04 11:15:09	ga_s2bm_ard_3-2-1_52JDP_2020-04-04_final
2020-04-04 11:15:15	ga_s2bm_ard_3-2-1_52JCP_2020-04-04_final
2020-04-04 11:15:19	ga_s2bm_ard_3-2-1_52JBP_2020-04-04_final
2020-04-04 11:15:19	ga_s2bm_ard_3-2-1_52JDN_2020-04-04_final
2020-04-04 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2020-04-04_final
2020-04-04 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2020-04-04_final
2020-04-04 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2020-04-04_final

Return to ga_s2bm_ard_3 across April 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

April

All days