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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2020-01-10 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-01-10_final.stac-item
2020-01-20 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2020-01-20_final.stac-item
2020-01-30 12:05:50	ga_s2bm_ard_3-2-1_49JGH_2020-01-30_final.stac-item
2020-02-09 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-02-09_final.stac-item
2020-02-19 12:05:51	ga_s2bm_ard_3-2-1_49JGH_2020-02-19_final.stac-item
2020-02-19 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2020-02-19_final.stac-item
2020-02-29 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2020-02-29_final.stac-item
2020-03-10 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-03-10_final.stac-item
2020-03-20 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-03-20_final.stac-item
2020-03-30 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-03-30_final.stac-item
2020-04-09 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2020-04-09_final.stac-item
2020-04-19 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-04-19_final.stac-item
2020-04-29 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2020-04-29_final.stac-item
2020-04-29 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-04-29_final.stac-item
2020-05-09 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-05-09_final.stac-item
2020-05-16 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2020-05-16_final.stac-item
2020-05-19 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2020-05-19_final.stac-item
2020-05-26 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2020-05-26_final.stac-item
2020-05-29 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-05-29_final.stac-item
2020-06-05 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2020-06-05_final.stac-item
2020-06-08 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2020-06-08_final.stac-item
2020-06-15 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-06-15_final.stac-item
2020-06-18 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-06-18_final.stac-item
2020-06-25 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-06-25_final.stac-item
2020-06-28 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-06-28_final.stac-item
2020-06-28 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2020-06-28_final.stac-item
2020-07-08 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2020-07-08_final.stac-item
2020-07-15 11:53:08	ga_s2bm_ard_3-2-1_50KPD_2020-07-15_final.stac-item
2020-07-18 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2020-07-18_final.stac-item
2020-07-25 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-07-25_final.stac-item
2020-07-28 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-07-28_final.stac-item
2020-08-07 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-08-07_final.stac-item
2020-08-14 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-08-14_final.stac-item
2020-08-17 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2020-08-17_final.stac-item
2020-08-24 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-08-24_final.stac-item
2020-08-27 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2020-08-27_final.stac-item
2020-09-03 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-09-03_final.stac-item
2020-09-06 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-09-06_final.stac-item
2020-09-13 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-09-13_final.stac-item
2020-09-23 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-09-23_final.stac-item
2020-09-26 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-09-26_final.stac-item
2020-10-03 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-10-03_final.stac-item
2020-10-06 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2020-10-06_final.stac-item
2020-10-13 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-10-13_final.stac-item
2020-10-23 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-10-23_final.stac-item
2020-10-26 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-10-26_final.stac-item
2020-11-02 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-11-02_final.stac-item
2020-11-05 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2020-11-05_final.stac-item
2020-11-12 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2020-11-12_final.stac-item
2020-11-15 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-11-15_final.stac-item
2020-11-22 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2020-11-22_final.stac-item
2020-11-25 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2020-11-25_final.stac-item
2020-12-02 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2020-12-02_final.stac-item
2020-12-05 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2020-12-05_final.stac-item
2020-12-12 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2020-12-12_final.stac-item
2020-12-22 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2020-12-22_final.stac-item
2020-12-25 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2020-12-25_final.stac-item
2022-01-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final.stac-item
2022-01-09 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2022-01-09_final.stac-item
2022-01-16 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2022-01-16_final.stac-item
2022-01-19 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2022-01-19_final.stac-item
2022-01-26 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2022-01-26_final.stac-item
2022-01-29 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2022-01-29_final.stac-item
2022-02-05 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2022-02-05_final.stac-item
2022-02-08 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2022-02-08_final.stac-item
2022-02-15 11:53:00	ga_s2bm_ard_3-2-1_50KPD_2022-02-15_final.stac-item
2022-02-18 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2022-02-18_final.stac-item
2022-02-25 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2022-02-25_final.stac-item
2022-02-28 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2022-02-28_final.stac-item
2022-03-07 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2022-03-07_final.stac-item
2022-03-10 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2022-03-10_final.stac-item
2022-03-17 11:53:05	ga_s2bm_ard_3-2-1_50KPD_2022-03-17_final.stac-item
2022-03-20 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2022-03-20_final.stac-item
2022-03-27 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2022-03-27_final.stac-item
2022-04-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-04-06_final.stac-item
2022-04-09 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2022-04-09_final.stac-item
2022-04-19 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2022-04-19_final.stac-item
2022-04-26 11:53:00	ga_s2bm_ard_3-2-1_50KPD_2022-04-26_final.stac-item
2022-04-29 12:05:51	ga_s2bm_ard_3-2-1_49JGH_2022-04-29_final.stac-item
2022-05-06 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2022-05-06_final.stac-item
2022-05-09 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2022-05-09_final.stac-item
2022-05-16 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2022-05-16_final.stac-item
2022-05-19 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2022-05-19_final.stac-item
2022-05-26 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2022-05-26_final.stac-item
2022-05-26 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2022-05-26_final.stac-item
2022-05-29 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2022-05-29_final.stac-item
2022-06-05 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2022-06-05_final.stac-item
2022-06-08 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2022-06-08_final.stac-item
2022-06-15 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2022-06-15_final.stac-item
2022-06-18 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2022-06-18_final.stac-item
2022-06-25 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2022-06-25_final.stac-item
2022-07-05 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2022-07-05_final.stac-item
2022-07-08 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2022-07-08_final.stac-item
2022-07-15 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2022-07-15_final.stac-item
2022-07-18 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2022-07-18_final.stac-item
2022-07-25 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2022-07-25_final.stac-item
2022-07-28 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2022-07-28_final.stac-item
2022-08-04 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2022-08-04_final.stac-item
2022-08-07 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2022-08-07_final.stac-item
2022-08-14 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2022-08-14_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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