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
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGJ_2018-02-24_final
2018-03-13 10:57:07	ga_s2bm_ard_3-2-1_52LGJ_2018-03-13_final
2018-04-05 11:07:09	ga_s2bm_ard_3-2-1_52LGJ_2018-04-05_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52LGJ_2018-04-22_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52LGJ_2018-05-15_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52LGJ_2018-05-22_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52LGJ_2018-06-14_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52LGJ_2018-06-24_final
2018-07-01 10:57:40	ga_s2bm_ard_3-2-1_52LGJ_2018-07-01_final
2018-07-04 11:07:15	ga_s2bm_ard_3-2-1_52LGJ_2018-07-04_final
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_52LGJ_2018-07-11_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52LGJ_2018-07-14_final
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52LGJ_2018-07-24_final
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LGJ_2018-08-03_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52LGJ_2018-08-13_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52LGJ_2018-09-12_final
2018-09-22 11:07:09	ga_s2bm_ard_3-2-1_52LGJ_2018-09-22_final
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52LGJ_2018-09-29_final
2018-10-02 11:07:11	ga_s2bm_ard_3-2-1_52LGJ_2018-10-02_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52LGJ_2018-10-09_final
2018-10-12 11:07:09	ga_s2bm_ard_3-2-1_52LGJ_2018-10-12_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52LGJ_2018-10-12_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52LGJ_2018-10-19_final
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52LGJ_2018-10-22_final
2019-11-13 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2019-11-13_final
2019-11-23 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2019-11-23_final
2019-12-03 11:02:38	ga_s2bm_ard_3-2-1_52KGD_2019-12-03_final
2019-12-13 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2019-12-13_final
2019-12-23 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2019-12-23_final
2020-01-02 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-01-02_final
2020-01-12 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-01-12_final
2020-01-22 11:02:38	ga_s2bm_ard_3-2-1_52KGD_2020-01-22_final
2020-02-01 11:02:35	ga_s2bm_ard_3-2-1_52KGD_2020-02-01_final
2020-02-01 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2020-02-01_final
2020-02-11 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-02-11_final
2020-02-21 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2020-02-21_final
2020-03-02 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2020-03-02_final
2020-03-12 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2020-03-12_final
2020-03-22 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2020-03-22_final
2020-04-01 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2020-04-01_final
2020-04-11 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2020-04-11_final
2020-04-21 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-04-21_final
2020-05-01 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2020-05-01_final
2020-05-11 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2020-05-11_final
2020-05-21 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2020-05-21_final
2020-05-31 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-05-31_final
2020-06-10 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-06-10_final
2020-06-20 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-06-20_final
2020-06-30 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-06-30_final
2020-07-10 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-07-10_final
2020-07-20 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-07-20_final
2020-07-30 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-07-30_final
2020-08-09 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-08-09_final
2020-08-19 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2020-08-19_final
2020-08-29 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-08-29_final
2020-09-08 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-09-08_final
2020-09-18 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2020-09-18_final
2020-09-28 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-09-28_final
2020-10-08 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2020-10-08_final
2020-10-18 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2020-10-18_final
2020-10-28 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2020-10-28_final
2020-11-07 11:02:45	ga_s2bm_ard_3-2-1_52KGD_2020-11-07_final
2020-11-07 11:02:52	ga_s2bm_ard_3-2-1_52KGD_2020-11-07_final
2020-11-27 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2020-11-27_final
2020-12-07 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2020-12-07_final
2020-12-17 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2020-12-17_final
2020-12-27 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2020-12-27_final
2021-01-06 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2021-01-06_final
2021-01-16 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2021-01-16_final
2021-01-26 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2021-01-26_final
2021-02-05 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2021-02-05_final
2021-02-05 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2021-02-05_final
2021-02-15 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2021-02-15_final
2022-06-10 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2022-06-10_final
2022-06-20 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2022-06-20_final
2022-07-10 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2022-07-10_final
2022-07-20 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2022-07-20_final
2022-07-30 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2022-07-30_final
2022-08-09 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2022-08-09_final
2022-08-19 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2022-08-19_final
2022-08-29 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2022-08-29_final
2022-09-08 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2022-09-08_final.stac-item
2022-09-08 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2022-09-08_final.stac-item
2022-09-18 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2022-09-18_final.stac-item
2022-09-28 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-09-28_final.stac-item
2022-10-08 11:02:35	ga_s2bm_ard_3-2-1_52KGD_2022-10-08_final.stac-item
2022-10-18 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2022-10-18_final.stac-item
2022-10-18 11:02:41	ga_s2bm_ard_3-2-1_52KFD_2022-10-18_final.stac-item
2022-11-27 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2022-11-27_final.stac-item
2022-11-27 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-11-27_final.stac-item
2023-01-06 11:02:57	ga_s2bm_ard_3-2-1_52KFC_2023-01-06_final.stac-item
2023-01-16 11:02:34	ga_s2bm_ard_3-2-1_52KGD_2023-01-16_final.stac-item
2023-01-16 11:02:35	ga_s2bm_ard_3-2-1_52KFD_2023-01-16_final.stac-item
2023-05-16 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2023-05-16_final.stac-item
2023-06-15 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-06-15_final.stac-item
2023-10-03 11:02:38	ga_s2bm_ard_3-2-1_52KGD_2023-10-03_final.stac-item
2023-12-02 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2023-12-02_final.stac-item
2023-12-02 11:02:48	ga_s2bm_ard_3-2-1_52KGC_2023-12-02_final.stac-item
2024-01-11 11:02:53	ga_s2bm_ard_3-2-1_52KGC_2024-01-11_final.stac-item
2024-02-20 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2024-02-20_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

All years