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
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HUD_2017-12-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HVE_2017-12-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HUE_2017-12-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51JUF_2017-12-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HVD_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUA_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUR_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUQ_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUF_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUE_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUC_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUD_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUB_2017-12-15_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUS_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUR_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUA_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUT_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUQ_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUU_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51LUE_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51LUF_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUB_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51LUD_2018-03-25_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51LUC_2018-03-25_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUT_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUS_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUQ_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUR_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUF_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUE_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUU_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUV_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUA_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUC_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUB_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUD_2018-04-04_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUK_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUH_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUL_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUM_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUJ_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUN_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUP_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUS_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUQ_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUR_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51HUD_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUF_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JUG_2018-04-11_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51HUE_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUS_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LUE_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LUF_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUQ_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUR_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUT_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUU_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUV_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUA_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LUD_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LUC_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUB_2018-04-14_final
2020-05-07 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2020-05-07_final
2020-05-07 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2020-05-07_final
2020-05-07 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2020-05-07_final
2020-05-07 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2020-05-07_final
2020-05-07 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2020-05-07_final
2020-05-07 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2020-05-07_final
2020-05-07 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-05-07_final
2020-05-07 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-07_final
2020-05-07 11:27:08	ga_s2bm_ard_3-2-1_51HVB_2020-05-07_final
2020-05-07 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2020-05-07_final
2020-05-10 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-05-10_final
2020-05-10 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2020-05-10_final
2020-05-10 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-05-10_final
2020-05-10 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-05-10_final
2020-05-10 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2020-05-10_final
2020-05-10 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2020-05-10_final
2020-05-10 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2020-05-10_final
2020-05-10 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2020-05-10_final
2020-05-10 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2020-05-10_final
2020-05-10 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2020-05-10_final
2020-05-10 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2020-05-10_final
2020-05-20 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2020-05-20_final
2020-05-20 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2020-05-20_final
2020-05-20 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2020-05-20_final
2020-05-20 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2020-05-20_final
2020-05-20 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2020-05-20_final
2020-05-20 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2020-05-20_final
2020-05-23 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2020-05-23_final
2020-05-23 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-05-23_final
2020-05-23 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2020-05-23_final
2020-05-23 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-05-23_final
2020-05-23 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2020-05-23_final
2020-05-23 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-05-23_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