Search ga_s2bm_ard_3 whole collection

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
2018-08-10 09:23:23	ga_s2bm_ard_3-2-1_56JNM_2018-08-09_final
2018-08-10 09:23:23	ga_s2bm_ard_3-2-1_56JMM_2018-08-09_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JBM_2018-08-10_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JBL_2018-08-10_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JCL_2018-08-10_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JDM_2018-08-10_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JCM_2018-08-10_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JEM_2018-08-10_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JNM_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JNL_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JMM_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPM_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JQL_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JQM_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51JTG_2018-08-12_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51JTF_2018-08-12_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_55JGF_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_55JGG_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JKL_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JLL_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JLM_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JKM_2018-08-13_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JMM_2018-08-13_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JFF_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JDG_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JFG_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JEF_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JEG_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JGF_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JGG_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56JKL_2018-08-16_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56JKM_2018-08-16_final
2018-12-10 11:45:50	ga_s2bm_ard_3-2-1_51JTG_2018-12-10_final
2018-12-10 11:45:53	ga_s2bm_ard_3-2-1_50JQM_2018-12-10_final
2018-12-10 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2018-12-10_final
2018-12-10 11:45:59	ga_s2bm_ard_3-2-1_51JTF_2018-12-10_final
2018-12-10 11:45:59	ga_s2bm_ard_3-2-1_50JQL_2018-12-10_final
2018-12-10 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2018-12-10_final
2018-12-10 11:46:01	ga_s2bm_ard_3-2-1_51JTF_2018-12-10_final
2018-12-10 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2018-12-10_final
2018-12-10 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2018-12-10_final
2018-12-13 10:15:16	ga_s2bm_ard_3-2-1_54JXM_2018-12-13_final
2018-12-13 10:15:19	ga_s2bm_ard_3-2-1_54JWM_2018-12-13_final
2018-12-13 10:15:23	ga_s2bm_ard_3-2-1_54JVM_2018-12-13_final
2018-12-13 10:15:26	ga_s2bm_ard_3-2-1_54JUM_2018-12-13_final
2018-12-13 10:15:30	ga_s2bm_ard_3-2-1_54JXL_2018-12-13_final
2018-12-13 10:15:34	ga_s2bm_ard_3-2-1_54JWL_2018-12-13_final
2018-12-13 10:15:41	ga_s2bm_ard_3-2-1_54JUL_2018-12-13_final
2018-12-13 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2018-12-13_final
2018-12-13 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2018-12-13_final
2018-12-13 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2018-12-13_final
2018-12-13 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2018-12-13_final
2018-12-13 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2018-12-13_final
2018-12-17 09:55:09	ga_s2bm_ard_3-2-1_55JEG_2018-12-17_final
2018-12-17 09:55:12	ga_s2bm_ard_3-2-1_55JDG_2018-12-17_final
2018-12-17 09:55:15	ga_s2bm_ard_3-2-1_55JCG_2018-12-17_final
2018-12-17 09:55:18	ga_s2bm_ard_3-2-1_55JBG_2018-12-17_final
2018-12-17 09:55:30	ga_s2bm_ard_3-2-1_55JCF_2018-12-17_final
2018-12-17 09:55:33	ga_s2bm_ard_3-2-1_55JBF_2018-12-17_final
2018-12-20 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2018-12-20_final
2018-12-20 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2018-12-20_final
2018-12-20 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2018-12-20_final
2018-12-20 11:46:02	ga_s2bm_ard_3-2-1_51JTF_2018-12-20_final
2018-12-20 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2018-12-20_final
2018-12-20 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2018-12-20_final
2018-12-20 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2018-12-20_final
2018-12-20 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2018-12-20_final
2018-12-20 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2018-12-20_final
2018-12-21 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2018-12-21_final
2018-12-26 10:25:20	ga_s2bm_ard_3-2-1_54JVM_2018-12-26_final
2018-12-26 10:25:25	ga_s2bm_ard_3-2-1_54JUM_2018-12-26_final
2018-12-26 10:25:28	ga_s2bm_ard_3-2-1_54JTM_2018-12-26_final
2018-12-26 10:25:31	ga_s2bm_ard_3-2-1_53JQG_2018-12-26_final
2018-12-26 10:25:36	ga_s2bm_ard_3-2-1_53JPG_2018-12-26_final
2018-12-26 10:25:39	ga_s2bm_ard_3-2-1_54JUL_2018-12-26_final
2018-12-26 10:25:43	ga_s2bm_ard_3-2-1_54JTL_2018-12-26_final
2018-12-26 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2018-12-26_final
2018-12-26 10:25:49	ga_s2bm_ard_3-2-1_53JPF_2018-12-26_final
2018-12-30 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2018-12-30_final
2018-12-30 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2018-12-30_final
2018-12-30 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2018-12-30_final
2018-12-30 11:46:04	ga_s2bm_ard_3-2-1_51JTF_2018-12-30_final
2018-12-30 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-12-30_final
2018-12-30 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2018-12-30_final
2018-12-30 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2018-12-30_final
2018-12-30 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2018-12-30_final
2018-12-30 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-12-30_final
2018-12-31 09:35:03	ga_s2bm_ard_3-2-1_56JMM_2018-12-31_final
2018-12-31 09:35:07	ga_s2bm_ard_3-2-1_56JLM_2018-12-31_final
2018-12-31 09:35:10	ga_s2bm_ard_3-2-1_56JKM_2018-12-31_final
2018-12-31 09:35:12	ga_s2bm_ard_3-2-1_55JGG_2018-12-31_final
2018-12-31 09:35:22	ga_s2bm_ard_3-2-1_56JLL_2018-12-31_final
2018-12-31 09:35:25	ga_s2bm_ard_3-2-1_56JKL_2018-12-31_final
2018-12-31 09:35:27	ga_s2bm_ard_3-2-1_55JGF_2018-12-31_final
2020-01-22 11:05:38	ga_s2bm_ard_3-2-1_52JEM_2020-01-22_final
2020-01-22 11:05:42	ga_s2bm_ard_3-2-1_52JDM_2020-01-22_final
2020-01-22 11:05:45	ga_s2bm_ard_3-2-1_52JCM_2020-01-22_final
2020-01-22 11:05:52	ga_s2bm_ard_3-2-1_52JBM_2020-01-22_final
2020-01-22 11:06:00	ga_s2bm_ard_3-2-1_52JCL_2020-01-22_final

Return to ga_s2bm_ard_3 whole collection 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

All years