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
2019-01-13 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2019-01-13_final
2019-01-23 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-01-23_final
2019-02-02 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-02-02_final
2019-02-12 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-02-12_final
2019-02-22 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2019-02-22_final
2019-03-04 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2019-03-04_final
2019-03-14 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2019-03-14_final
2019-03-24 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-03-24_final
2019-04-03 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2019-04-03_final
2019-04-13 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2019-04-13_final
2019-04-23 11:22:44	ga_s2bm_ard_3-2-1_52KBE_2019-04-23_final
2019-05-03 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-05-03_final
2019-05-13 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-05-13_final
2019-05-23 11:22:46	ga_s2bm_ard_3-2-1_52KBE_2019-05-23_final
2019-06-02 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-06-02_final
2019-06-12 11:22:44	ga_s2bm_ard_3-2-1_52KBE_2019-06-12_final
2019-06-22 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-06-22_final
2019-07-02 11:22:46	ga_s2bm_ard_3-2-1_52KBE_2019-07-02_final
2019-07-12 11:22:46	ga_s2bm_ard_3-2-1_52KBE_2019-07-12_final
2019-07-22 11:22:46	ga_s2bm_ard_3-2-1_52KBE_2019-07-22_final
2019-08-01 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-08-01_final
2019-08-11 11:22:44	ga_s2bm_ard_3-2-1_52KBE_2019-08-11_final
2019-08-21 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2019-08-21_final
2019-08-31 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2019-08-31_final
2019-09-10 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2019-09-10_final
2019-09-20 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2019-09-20_final
2019-09-30 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-09-30_final
2019-10-10 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2019-10-10_final
2019-10-20 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2019-10-20_final
2019-10-30 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2019-10-30_final
2019-11-09 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-11-09_final
2019-11-19 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2019-11-19_final
2019-11-29 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2019-11-29_final
2019-12-09 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2019-12-09_final
2019-12-19 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2019-12-19_final
2019-12-29 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2019-12-29_final
2020-01-08 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2020-01-08_final
2020-01-18 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2020-01-18_final
2020-01-28 11:22:30	ga_s2bm_ard_3-2-1_52KBE_2020-01-28_final
2020-02-07 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2020-02-07_final
2020-02-17 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2020-02-17_final
2021-05-12 11:22:30	ga_s2bm_ard_3-2-1_52KBE_2021-05-12_final
2021-07-01 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-07-01_final
2021-07-11 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2021-07-11_final
2021-07-11 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2021-07-11_final
2021-07-21 11:22:39	ga_s2bm_ard_3-2-1_52KBE_2021-07-21_final
2021-07-31 11:22:39	ga_s2bm_ard_3-2-1_52KBE_2021-07-31_final
2021-08-10 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-08-10_final
2021-08-20 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2021-08-20_final
2021-08-30 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2021-08-30_final
2021-09-09 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2021-09-09_final
2021-09-19 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2021-09-19_final
2021-09-29 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2021-09-29_final
2021-10-09 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-10-09_final
2021-10-19 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-10-19_final
2021-10-29 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-10-29_final
2021-11-08 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2021-11-08_final
2021-11-18 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2021-11-18_final
2021-11-28 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2021-11-28_final
2021-12-08 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2021-12-08_final
2021-12-18 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2021-12-18_final
2021-12-28 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2021-12-28_final
2022-01-07 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-01-07_final
2022-01-17 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-01-17_final
2022-01-27 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2022-01-27_final
2022-02-06 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2022-02-06_final
2022-02-16 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2022-02-16_final
2022-02-26 11:22:29	ga_s2bm_ard_3-2-1_52KBE_2022-02-26_final
2022-02-26 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-02-26_final
2022-03-08 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2022-03-08_final
2022-03-18 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2022-03-18_final
2022-03-18 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2022-03-18_final
2022-03-28 11:22:30	ga_s2bm_ard_3-2-1_52KBE_2022-03-28_final
2022-03-28 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2022-03-28_final
2022-04-07 11:22:30	ga_s2bm_ard_3-2-1_52KBE_2022-04-07_final
2022-04-07 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2022-04-07_final
2022-04-17 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-04-17_final
2022-04-27 11:22:27	ga_s2bm_ard_3-2-1_52KBE_2022-04-27_final
2022-04-27 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-04-27_final
2022-05-07 11:22:29	ga_s2bm_ard_3-2-1_52KBE_2022-05-07_final
2022-05-07 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-05-07_final
2022-05-17 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-05-17_final
2022-05-27 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2022-05-27_final
2022-06-06 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2022-06-06_final
2022-06-16 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2022-06-16_final
2022-06-26 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2022-06-26_final
2022-07-06 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2022-07-06_final
2022-07-16 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2022-07-16_final
2022-07-26 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2022-07-26_final
2022-08-05 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2022-08-05_final
2022-08-15 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2022-08-15_final
2022-08-25 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2022-08-25_final
2022-09-01 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2022-09-01_final.stac-item
2022-10-11 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2022-10-11_final.stac-item
2022-10-31 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2022-10-31_final.stac-item
2022-11-27 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2022-11-27_final.stac-item
2022-12-20 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2022-12-20_final.stac-item
2022-12-30 11:15:34	ga_s2bm_ard_3-2-1_52JCN_2022-12-30_final.stac-item
2023-01-06 11:06:12	ga_s2bm_ard_3-2-1_52JCL_2023-01-06_final.stac-item
2024-01-11 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2024-01-11_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