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
2022-12-17 11:06:35	ga_s2bm_ard_3-2-1_52HEH_2022-12-17_nrt.stac-item
2022-12-17 11:06:36	ga_s2bm_ard_3-2-1_52HDH_2022-12-17_nrt.stac-item
2022-12-27 11:06:36	ga_s2bm_ard_3-2-1_52HEH_2022-12-27_nrt.stac-item
2022-12-27 11:06:37	ga_s2bm_ard_3-2-1_52HDH_2022-12-27_nrt.stac-item
2023-01-06 11:06:34	ga_s2bm_ard_3-2-1_52HEH_2023-01-06_nrt.stac-item
2023-01-06 11:06:35	ga_s2bm_ard_3-2-1_52HDH_2023-01-06_nrt.stac-item
2023-01-16 11:06:33	ga_s2bm_ard_3-2-1_52HEH_2023-01-16_nrt.stac-item
2023-01-16 11:06:34	ga_s2bm_ard_3-2-1_52HDH_2023-01-16_nrt.stac-item
2023-01-26 11:06:34	ga_s2bm_ard_3-2-1_52HEH_2023-01-26_nrt.stac-item
2023-01-26 11:06:36	ga_s2bm_ard_3-2-1_52HDH_2023-01-26_nrt.stac-item
2023-02-05 11:06:34	ga_s2bm_ard_3-2-1_52HEH_2023-02-05_nrt.stac-item
2023-02-05 11:06:35	ga_s2bm_ard_3-2-1_52HDH_2023-02-05_nrt.stac-item
2023-02-15 11:06:35	ga_s2bm_ard_3-2-1_52HEH_2023-02-15_nrt.stac-item
2023-02-15 11:06:36	ga_s2bm_ard_3-2-1_52HDH_2023-02-15_nrt.stac-item
2023-02-25 11:06:37	ga_s2bm_ard_3-2-1_52HEH_2023-02-25_nrt.stac-item
2023-02-25 11:06:38	ga_s2bm_ard_3-2-1_52HDH_2023-02-25_nrt.stac-item
2023-03-07 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-03-07_nrt.stac-item
2023-03-07 11:06:41	ga_s2bm_ard_3-2-1_52HDH_2023-03-07_nrt.stac-item
2023-03-17 11:06:40	ga_s2bm_ard_3-2-1_52HEH_2023-03-17_nrt.stac-item
2023-03-17 11:06:42	ga_s2bm_ard_3-2-1_52HDH_2023-03-17_nrt.stac-item
2023-03-27 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-03-27_nrt.stac-item
2023-03-27 11:06:41	ga_s2bm_ard_3-2-1_52HDH_2023-03-27_nrt.stac-item
2023-04-06 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-04-06_nrt.stac-item
2023-04-06 11:06:41	ga_s2bm_ard_3-2-1_52HDH_2023-04-06_nrt.stac-item
2023-04-16 11:06:38	ga_s2bm_ard_3-2-1_52HEH_2023-04-16_nrt.stac-item
2023-04-16 11:06:39	ga_s2bm_ard_3-2-1_52HDH_2023-04-16_nrt.stac-item
2023-04-26 11:06:38	ga_s2bm_ard_3-2-1_52HEH_2023-04-26_nrt.stac-item
2023-04-26 11:06:40	ga_s2bm_ard_3-2-1_52HDH_2023-04-26_nrt.stac-item
2023-05-06 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-05-06_nrt.stac-item
2023-05-06 11:06:40	ga_s2bm_ard_3-2-1_52HDH_2023-05-06_nrt.stac-item
2023-05-26 11:06:42	ga_s2bm_ard_3-2-1_52HEH_2023-05-26_nrt.stac-item
2023-05-26 11:06:43	ga_s2bm_ard_3-2-1_52HDH_2023-05-26_nrt.stac-item
2023-09-03 11:06:42	ga_s2bm_ard_3-2-1_52HEH_2023-09-03_nrt.stac-item
2023-09-03 11:06:43	ga_s2bm_ard_3-2-1_52HDH_2023-09-03_nrt.stac-item
2023-09-09 11:21:02	ga_s2bm_ard_3-2-1_52LEL_2023-09-09_final.stac-item
2023-09-16 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2023-09-16_final.stac-item
2023-09-19 11:21:01	ga_s2bm_ard_3-2-1_52LEL_2023-09-19_final.stac-item
2023-09-26 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2023-09-26_final.stac-item
2023-09-29 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-09-29_final.stac-item
2023-10-06 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2023-10-06_final.stac-item
2023-10-09 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2023-10-09_final.stac-item
2023-10-16 11:11:07	ga_s2bm_ard_3-2-1_52LEL_2023-10-16_final.stac-item
2023-10-19 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-10-19_final.stac-item
2023-10-26 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2023-10-26_final.stac-item
2023-10-29 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-10-29_final.stac-item
2023-11-05 11:11:07	ga_s2bm_ard_3-2-1_52LEL_2023-11-05_final.stac-item
2023-11-08 11:21:06	ga_s2bm_ard_3-2-1_52LEL_2023-11-08_final.stac-item
2023-11-12 11:04:45	ga_s2bm_ard_3-2-1_52JER_2023-11-12_final.stac-item
2023-11-15 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2023-11-15_final.stac-item
2023-11-18 11:20:56	ga_s2bm_ard_3-2-1_52LEL_2023-11-18_final.stac-item
2023-11-22 11:05:21	ga_s2bm_ard_3-2-1_52JEN_2023-11-22_final.stac-item
2023-11-22 11:05:21	ga_s2bm_ard_3-2-1_52JEP_2023-11-22_final.stac-item
2023-11-22 11:05:22	ga_s2bm_ard_3-2-1_52JDN_2023-11-22_final.stac-item
2023-11-22 11:06:33	ga_s2bm_ard_3-2-1_52HEH_2023-11-22_nrt.stac-item
2023-11-22 11:06:34	ga_s2bm_ard_3-2-1_52HDH_2023-11-22_nrt.stac-item
2023-11-25 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2023-11-25_final.stac-item
2023-11-28 11:20:54	ga_s2bm_ard_3-2-1_52LEL_2023-11-28_final.stac-item
2023-12-08 11:20:55	ga_s2bm_ard_3-2-1_52LEL_2023-12-08_final.stac-item
2023-12-15 11:11:03	ga_s2bm_ard_3-2-1_52LEL_2023-12-15_final.stac-item
2023-12-18 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2023-12-18_final.stac-item
2023-12-25 11:11:06	ga_s2bm_ard_3-2-1_52LEL_2023-12-25_final.stac-item
2023-12-28 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2023-12-28_final.stac-item
2024-01-01 11:06:32	ga_s2bm_ard_3-2-1_52HEJ_2024-01-01_nrt.stac-item
2024-01-04 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2024-01-04_final.stac-item
2024-01-07 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2024-01-07_final.stac-item
2024-01-11 11:06:26	ga_s2bm_ard_3-2-1_52HEJ_2024-01-11_nrt.stac-item
2024-01-14 11:11:03	ga_s2bm_ard_3-2-1_52LEL_2024-01-14_final.stac-item
2024-01-17 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2024-01-17_final.stac-item
2024-01-21 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2024-01-21_final.stac-item
2024-01-24 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2024-01-24_final.stac-item
2024-01-27 11:20:56	ga_s2bm_ard_3-2-1_52LEL_2024-01-27_final.stac-item
2024-01-31 11:04:43	ga_s2bm_ard_3-2-1_52JER_2024-01-31_final.stac-item
2024-02-03 11:11:02	ga_s2bm_ard_3-2-1_52LEL_2024-02-03_final.stac-item
2024-02-06 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2024-02-06_final.stac-item
2024-02-13 11:11:06	ga_s2bm_ard_3-2-1_52LEL_2024-02-13_final.stac-item
2024-02-16 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2024-02-16_final.stac-item
2024-02-20 11:06:38	ga_s2bm_ard_3-2-1_52HEH_2024-02-20_nrt.stac-item
2024-02-20 11:06:39	ga_s2bm_ard_3-2-1_52HDH_2024-02-20_nrt.stac-item
2024-02-23 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2024-02-23_final.stac-item
2024-02-26 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2024-02-26_final.stac-item
2024-03-01 11:06:35	ga_s2bm_ard_3-2-1_52HEH_2024-03-01_nrt.stac-item
2024-03-01 11:06:36	ga_s2bm_ard_3-2-1_52HDH_2024-03-01_nrt.stac-item
2024-03-04 11:11:01	ga_s2bm_ard_3-2-1_52LEL_2024-03-04_final.stac-item
2024-03-07 11:20:52	ga_s2bm_ard_3-2-1_52LEL_2024-03-07_final.stac-item
2024-03-14 11:11:02	ga_s2bm_ard_3-2-1_52LEL_2024-03-14_final.stac-item
2024-03-17 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2024-03-17_final.stac-item
2024-03-24 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2024-03-24_final.stac-item
2024-03-27 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2024-03-27_final.stac-item
2024-04-03 11:11:03	ga_s2bm_ard_3-2-1_52LEL_2024-04-03_final.stac-item
2024-04-06 11:20:51	ga_s2bm_ard_3-2-1_52LEL_2024-04-06_final.stac-item
2024-04-06 11:20:56	ga_s2bm_ard_3-2-1_52LEL_2024-04-06_final.stac-item
2024-04-10 11:06:37	ga_s2bm_ard_3-2-1_52HEH_2024-04-10_nrt.stac-item
2024-04-10 11:06:38	ga_s2bm_ard_3-2-1_52HDH_2024-04-10_nrt.stac-item
2024-04-13 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2024-04-13_final.stac-item
2024-04-16 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2024-04-16_final.stac-item
2024-04-20 11:06:38	ga_s2bm_ard_3-2-1_52HEH_2024-04-20_nrt.stac-item
2024-04-20 11:06:39	ga_s2bm_ard_3-2-1_52HDH_2024-04-20_nrt.stac-item
2024-04-30 11:06:37	ga_s2bm_ard_3-2-1_52HEH_2024-04-30_nrt.stac-item
2024-04-30 11:06:38	ga_s2bm_ard_3-2-1_52HDH_2024-04-30_nrt.stac-item
2024-05-10 11:06:38	ga_s2bm_ard_3-2-1_52HEH_2024-05-10_nrt.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

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