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
2019-07-07 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-07_final
2019-07-07 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-07_final
2019-07-07 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-07-07_final
2019-07-17 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-07-17_final
2019-07-17 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-07-17_final
2019-07-17 12:14:36	ga_s2bm_ard_3-2-1_49KGP_2019-07-17_final
2019-07-17 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-17_final
2019-07-17 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-17_final
2019-07-17 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-07-17_final
2019-07-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-27_final
2019-07-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-27_final
2019-07-27 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-07-27_final
2019-10-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-05 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final
2019-10-05 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-05_final
2019-10-05 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2019-10-05_final
2019-10-05 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-10-05_final
2019-10-05 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2019-10-05_final
2019-10-25 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-25_final
2019-10-25 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-25_final
2019-10-25 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-25_final
2019-10-25 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2019-10-25_final
2019-10-25 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2019-10-25_final
2019-10-25 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-10-25_final
2019-12-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2019-12-04_final
2019-12-04 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2019-12-04_final
2019-12-04 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2019-12-04_final
2019-12-04 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2019-12-04_final
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final
2019-12-14 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-14_final
2019-12-14 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2019-12-14_final
2019-12-14 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-14_final
2019-12-14 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2019-12-14_final
2019-12-14 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2019-12-14_final
2020-03-03 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-03_final
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2020-03-03_final
2020-03-03 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-03_final
2020-03-03 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-03-03_final
2020-03-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-03-03_final
2020-03-13 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2020-03-13_final
2020-03-13 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-03-13_final
2020-03-13 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-13_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-03-13 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-03-13_final
2020-03-13 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2020-03-13_final
2020-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final
2020-03-23 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final
2020-03-23 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final
2020-03-23 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final
2020-03-23 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-23_final
2020-04-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-04-02_final
2020-04-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final
2020-04-02 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2020-04-02_final
2020-04-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final
2020-04-02 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2020-04-02_final
2020-04-02 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-04-02_final
2020-04-02 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-04-02_final
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final
2020-04-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-04-12_final
2020-04-12 12:14:02	ga_s2bm_ard_3-2-1_49KGQ_2020-04-12_final
2020-04-12 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-04-12_final
2020-04-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-04-12_final
2020-04-12 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-04-12_final
2020-04-12 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2020-04-12_final
2020-04-12 12:14:41	ga_s2bm_ard_3-2-1_49JFN_2020-04-12_final
2020-04-12 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2020-04-12_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-04-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2020-04-22_final
2020-04-22 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-04-22_final
2020-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-04-22_final
2020-04-22 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2020-04-22_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-05-02 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-05-02_final
2020-05-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-05-02_final
2020-05-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2020-05-02_final
2020-05-02 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2020-05-02_final
2020-05-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2020-05-02_final
2020-05-12 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-05-12_final
2020-05-12 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-05-12_final
2020-05-12 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2020-05-12_final
2020-05-12 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2020-05-12_final
2020-05-12 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2020-05-12_final
2020-05-12 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2020-05-12_final
2020-05-22 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2020-05-22_final
2020-05-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-05-22 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2020-05-22_final
2020-05-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2020-05-22_final
2020-05-22 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2020-05-22_final
2020-05-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-05-22_final
2020-05-22 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2020-05-22_final
2020-05-22 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2020-05-22_final
2023-04-27 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-04-27_final
2023-04-27 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-04-27_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

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