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
2019-01-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-01-05_final.stac-item
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2019-01-08_final.stac-item
2019-01-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-01-15_final.stac-item
2019-01-25 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-01-25_final.stac-item
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-02-17 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2019-02-17_final.stac-item
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-02-24_final.stac-item
2019-02-27 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2019-02-27_final.stac-item
2019-03-26 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-03-26_final.stac-item
2019-04-05 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2019-04-05_final.stac-item
2019-04-08 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2019-04-08_final.stac-item
2019-04-15 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2019-04-15_final.stac-item
2019-04-18 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2019-04-18_final.stac-item
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_49KHS_2019-04-25_final.stac-item
2019-04-28 12:13:47	ga_s2bm_ard_3-2-1_49KHS_2019-04-28_final.stac-item
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-05-05_final.stac-item
2019-05-18 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-18_final.stac-item
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-06-07 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-06-07_final.stac-item
2019-06-14 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-14_final.stac-item
2019-07-04 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-04_final.stac-item
2019-07-24 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-24_final.stac-item
2019-07-27 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-27_final.stac-item
2019-08-06 12:13:47	ga_s2bm_ard_3-2-1_49KHS_2019-08-06_final.stac-item
2019-08-23 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2019-08-23_final.stac-item
2019-08-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2019-08-26_final.stac-item
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2019-09-05_final.stac-item
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-09-12_final.stac-item
2019-09-25 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-09-25_final.stac-item
2019-10-02 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-02_final.stac-item
2019-10-05 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2019-10-05_final.stac-item
2019-10-15 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2019-10-15_final.stac-item
2019-10-22 12:03:35	ga_s2bm_ard_3-2-1_49KHS_2019-10-22_final.stac-item
2019-10-22 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-22_final.stac-item
2019-10-25 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2019-10-25_final.stac-item
2019-11-01 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-11-01_final.stac-item
2019-11-04 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-11-04_final.stac-item
2019-11-11 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-11-11_final.stac-item
2019-11-14 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2019-11-14_final.stac-item
2019-11-24 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2019-11-24_final.stac-item
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-01_final.stac-item
2019-12-04 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2019-12-04_final.stac-item
2019-12-11 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-11_final.stac-item
2019-12-14 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2019-12-14_final.stac-item
2020-01-03 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2020-01-03_final.stac-item
2020-01-13 12:13:34	ga_s2bm_ard_3-2-1_49KHS_2020-01-13_final.stac-item
2020-01-23 12:13:33	ga_s2bm_ard_3-2-1_49KHS_2020-01-23_final.stac-item
2020-01-30 12:03:37	ga_s2bm_ard_3-2-1_49KHS_2020-01-30_final.stac-item
2020-02-02 12:13:33	ga_s2bm_ard_3-2-1_49KHS_2020-02-02_final.stac-item
2020-02-09 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-02-09_final.stac-item
2020-02-12 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2020-02-12_final.stac-item
2020-02-19 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2020-02-19_final.stac-item
2020-03-13 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2020-03-13_final.stac-item
2020-04-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2020-04-02_final.stac-item
2020-04-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2020-04-12_final.stac-item
2020-04-19 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2020-04-19_final.stac-item
2020-04-22 12:13:30	ga_s2bm_ard_3-2-1_49KHS_2020-04-22_final.stac-item
2020-04-22 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2020-04-22_final.stac-item
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2020-04-29_final.stac-item
2020-05-06 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2020-05-06_final.stac-item
2020-05-09 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-05-09_final.stac-item
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-05-19_final.stac-item
2020-05-29 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-05-29_final.stac-item
2020-06-01 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2020-06-01_final.stac-item
2020-06-08 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-08_final.stac-item
2020-06-11 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-11_final.stac-item
2020-06-18 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-18_final.stac-item
2020-06-21 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-06-21_final.stac-item
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-06-28_final.stac-item
2020-07-01 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-07-01_final.stac-item
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-07-08_final.stac-item
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-08-10 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-10_final.stac-item
2020-08-20 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-20_final.stac-item
2020-08-30 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-30_final.stac-item
2020-09-06 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-09-06_final.stac-item
2020-09-09 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2020-09-09_final.stac-item
2020-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2020-09-16_final.stac-item
2020-09-19 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-09-19_final.stac-item
2020-09-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-09-26_final.stac-item
2020-11-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2020-11-05_final.stac-item
2020-11-08 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2020-11-08_final.stac-item
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2020-11-15_final.stac-item
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final.stac-item
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-08-12_final.stac-item
2023-08-12 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-08-12_final.stac-item
2023-08-12 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2023-08-12_final.stac-item
2023-08-12 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-08-12_final.stac-item
2023-08-12 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-12_final.stac-item
2023-08-12 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-08-12 12:04:54	ga_s2bm_ard_3-2-1_49JHN_2023-08-12_final.stac-item
2023-08-12 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-08-12_final.stac-item
2023-08-12 12:04:56	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-08-12 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-08-12_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-08-12 12:05:14	ga_s2bm_ard_3-2-1_49JFM_2023-08-12_final.stac-item
2023-08-12 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-12_final.stac-item
2023-08-12 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-08-12_final.stac-item
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_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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