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
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55HFS_2017-07-05_final.stac-item
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55HFS_2017-07-09_final.stac-item
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55HFS_2017-07-25_final.stac-item
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55HFS_2017-07-29_final.stac-item
2017-08-15 09:22:42	ga_s2bm_ard_3-2-1_55HFS_2017-08-14_final.stac-item
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_55HFS_2017-08-18_final.stac-item
2017-09-04 09:22:38	ga_s2bm_ard_3-2-1_55HFS_2017-09-03_final.stac-item
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HFS_2017-09-07_final.stac-item
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_55HFS_2017-09-23_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HFS_2017-09-27_final.stac-item
2017-10-14 09:22:30	ga_s2bm_ard_3-2-1_55HFS_2017-10-13_final.stac-item
2017-10-17 09:32:26	ga_s2bm_ard_3-2-1_55HFS_2017-10-17_final.stac-item
2017-10-27 09:32:47	ga_s2bm_ard_3-2-1_55HFS_2017-10-27_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55HFS_2017-11-06_final.stac-item
2017-11-13 09:23:11	ga_s2bm_ard_3-2-1_55HFS_2017-11-12_final.stac-item
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_55HFS_2017-11-16_final.stac-item
2017-11-23 09:22:32	ga_s2bm_ard_3-2-1_55HFS_2017-11-22_final.stac-item
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_55HFS_2017-12-06_final.stac-item
2017-12-13 09:23:45	ga_s2bm_ard_3-2-1_55HFS_2017-12-12_final.stac-item
2017-12-16 09:32:28	ga_s2bm_ard_3-2-1_55HFS_2017-12-16_final.stac-item
2017-12-23 09:23:12	ga_s2bm_ard_3-2-1_55HFS_2017-12-22_final.stac-item
2017-12-26 09:32:49	ga_s2bm_ard_3-2-1_55HFS_2017-12-26_final.stac-item
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55HFS_2018-01-01_final.stac-item
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_55HFS_2018-01-05_final.stac-item
2018-01-12 09:23:16	ga_s2bm_ard_3-2-1_55HFS_2018-01-11_final.stac-item
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_55HFS_2018-01-15_final.stac-item
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_55HFS_2018-01-21_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFS_2018-01-25_final.stac-item
2018-02-01 09:23:18	ga_s2bm_ard_3-2-1_55HFS_2018-01-31_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55HFS_2018-02-04_final.stac-item
2018-02-11 09:23:49	ga_s2bm_ard_3-2-1_55HFS_2018-02-10_final.stac-item
2018-02-14 09:32:33	ga_s2bm_ard_3-2-1_55HFS_2018-02-14_final.stac-item
2018-02-21 09:23:17	ga_s2bm_ard_3-2-1_55HFS_2018-02-20_final.stac-item
2018-02-24 09:32:54	ga_s2bm_ard_3-2-1_55HFS_2018-02-24_final.stac-item
2018-03-03 09:22:35	ga_s2bm_ard_3-2-1_55HFS_2018-03-02_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55HFS_2018-03-06_final.stac-item
2018-03-13 09:22:36	ga_s2bm_ard_3-2-1_55HFS_2018-03-12_final.stac-item
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_55HFS_2018-03-16_final.stac-item
2018-03-23 09:22:39	ga_s2bm_ard_3-2-1_55HFS_2018-03-22_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55HFS_2018-03-26_final.stac-item
2018-04-02 09:22:41	ga_s2bm_ard_3-2-1_55HFS_2018-04-01_final.stac-item
2018-04-05 09:32:37	ga_s2bm_ard_3-2-1_55HFS_2018-04-05_final.stac-item
2018-04-12 09:22:42	ga_s2bm_ard_3-2-1_55HFS_2018-04-11_final.stac-item
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55HFS_2018-04-15_final.stac-item
2018-04-22 09:22:43	ga_s2bm_ard_3-2-1_55HFS_2018-04-21_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55HFS_2018-04-25_final.stac-item
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55HFS_2018-05-01_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55HFS_2018-05-05_final.stac-item
2019-10-07 09:37:44	ga_s2bm_ard_3-2-1_55HFS_2019-10-07_final.stac-item
2019-10-14 09:27:50	ga_s2bm_ard_3-2-1_55HFS_2019-10-13_final.stac-item
2019-10-17 09:37:45	ga_s2bm_ard_3-2-1_55HFS_2019-10-17_final.stac-item
2019-10-24 09:27:50	ga_s2bm_ard_3-2-1_55HFS_2019-10-23_final.stac-item
2019-10-27 09:37:44	ga_s2bm_ard_3-2-1_55HFS_2019-10-27_final.stac-item
2019-11-03 09:27:50	ga_s2bm_ard_3-2-1_55HFS_2019-11-02_final.stac-item
2019-11-06 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2019-11-06_final.stac-item
2019-11-13 09:27:48	ga_s2bm_ard_3-2-1_55HFS_2019-11-12_final.stac-item
2019-11-16 09:37:42	ga_s2bm_ard_3-2-1_55HFS_2019-11-16_final.stac-item
2019-11-23 09:27:46	ga_s2bm_ard_3-2-1_55HFS_2019-11-22_final.stac-item
2019-12-03 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2019-12-02_final.stac-item
2019-12-06 09:37:37	ga_s2bm_ard_3-2-1_55HFS_2019-12-06_final.stac-item
2019-12-13 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2019-12-12_final.stac-item
2019-12-16 09:37:38	ga_s2bm_ard_3-2-1_55HFS_2019-12-16_final.stac-item
2019-12-23 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2019-12-22_final.stac-item
2019-12-26 09:37:39	ga_s2bm_ard_3-2-1_55HFS_2019-12-26_final.stac-item
2020-01-02 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2020-01-01_final.stac-item
2020-01-05 09:37:38	ga_s2bm_ard_3-2-1_55HFS_2020-01-05_final.stac-item
2020-01-12 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2020-01-11_final.stac-item
2020-01-15 09:37:38	ga_s2bm_ard_3-2-1_55HFS_2020-01-15_final.stac-item
2020-01-22 09:27:43	ga_s2bm_ard_3-2-1_55HFS_2020-01-21_final.stac-item
2020-01-25 09:37:37	ga_s2bm_ard_3-2-1_55HFS_2020-01-25_final.stac-item
2020-02-04 09:37:37	ga_s2bm_ard_3-2-1_55HFS_2020-02-04_final.stac-item
2020-02-11 09:27:44	ga_s2bm_ard_3-2-1_55HFS_2020-02-10_final.stac-item
2020-02-14 09:37:39	ga_s2bm_ard_3-2-1_55HFS_2020-02-14_final.stac-item
2023-03-16 09:53:24	ga_s2bm_ard_3-2-1_55KGQ_2023-03-16_final.stac-item
2023-05-12 09:43:24	ga_s2bm_ard_3-2-1_55KGQ_2023-05-12_final.stac-item
2023-08-16 09:59:49	ga_s2bm_ard_3-2-1_55LGJ_2023-08-16_nrt.stac-item
2023-08-26 09:59:48	ga_s2bm_ard_3-2-1_55LGJ_2023-08-26_nrt.stac-item
2023-09-05 09:59:48	ga_s2bm_ard_3-2-1_55LGJ_2023-09-05_nrt.stac-item
2023-09-15 09:59:46	ga_s2bm_ard_3-2-1_55LGJ_2023-09-15_nrt.stac-item
2023-09-25 09:59:47	ga_s2bm_ard_3-2-1_55LGJ_2023-09-25_nrt.stac-item
2023-10-02 09:53:22	ga_s2bm_ard_3-2-1_55KGQ_2023-10-02_final.stac-item
2023-10-05 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2023-10-05_nrt.stac-item
2023-10-15 09:59:46	ga_s2bm_ard_3-2-1_55LGJ_2023-10-15_nrt.stac-item
2023-10-22 09:53:22	ga_s2bm_ard_3-2-1_55KGQ_2023-10-22_final.stac-item
2023-10-25 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2023-10-25_nrt.stac-item
2023-11-04 09:59:46	ga_s2bm_ard_3-2-1_55LGJ_2023-11-04_nrt.stac-item
2023-11-14 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2023-11-14_nrt.stac-item
2023-11-24 09:59:38	ga_s2bm_ard_3-2-1_55LGJ_2023-11-24_nrt.stac-item
2023-12-04 09:59:41	ga_s2bm_ard_3-2-1_55LGJ_2023-12-04_nrt.stac-item
2023-12-14 09:59:42	ga_s2bm_ard_3-2-1_55LGJ_2023-12-14_nrt.stac-item
2023-12-24 09:59:45	ga_s2bm_ard_3-2-1_55LGJ_2023-12-24_nrt.stac-item
2024-01-03 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-01-03_nrt.stac-item
2024-01-13 09:59:42	ga_s2bm_ard_3-2-1_55LGJ_2024-01-13_nrt.stac-item
2024-01-23 09:59:43	ga_s2bm_ard_3-2-1_55LGJ_2024-01-23_nrt.stac-item
2024-02-02 09:59:40	ga_s2bm_ard_3-2-1_55LGJ_2024-02-02_nrt.stac-item
2024-02-12 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-02-12_nrt.stac-item
2024-02-22 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-02-22_nrt.stac-item
2024-03-03 09:59:40	ga_s2bm_ard_3-2-1_55LGJ_2024-03-03_nrt.stac-item
2024-03-13 09:59:41	ga_s2bm_ard_3-2-1_55LGJ_2024-03-13_nrt.stac-item
2024-03-23 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-03-23_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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