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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMG_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLG_2017-09-09_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMG_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLG_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMG_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLG_2017-12-15_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLG_2018-02-16_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLT_2018-09-14_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JLT_2018-09-17_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLT_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JLT_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLT_2018-10-04_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JLT_2018-10-14_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLT_2018-10-17_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLT_2018-10-24_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-10-27_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLT_2018-11-03_final
2018-11-06 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2018-11-06_final
2018-11-16 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-11-16_final
2018-11-23 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2018-11-23_final
2018-11-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-11-26_final
2018-12-03 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2018-12-03_final
2018-12-06 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2018-12-06_final
2018-12-13 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2018-12-13_final
2018-12-16 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2018-12-16_final
2018-12-23 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2018-12-23_final
2018-12-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-12-26_final
2019-01-02 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-01-02_final
2019-01-05 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-01-05_final
2019-01-12 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2019-01-12_final
2019-01-15 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-01-15_final
2019-01-22 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-01-22_final
2019-01-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-01-25_final
2019-02-01 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2019-02-01_final
2019-02-04 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-02-04_final
2019-02-11 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-02-11_final
2019-02-14 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-02-14_final
2019-02-21 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-02-21_final
2019-02-24 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2019-02-24_final
2019-03-03 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-03-03_final
2019-03-06 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-03-06_final
2019-03-13 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-03-13_final
2019-03-16 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-03-16_final
2019-03-23 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-03-23_final
2019-03-23 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2019-03-23_final
2019-03-26 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-03-26_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-02 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-04-02_final
2019-04-05 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2019-04-05_final
2019-04-12 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2019-04-12_final
2019-04-15 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2019-04-15_final
2019-04-22 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-04-22_final
2019-04-22 11:54:56	ga_s2bm_ard_3-2-1_50JLT_2019-04-22_final
2019-04-25 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-04-25_final
2019-05-02 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2019-05-02_final
2019-05-12 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-05-12_final
2019-05-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-25 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-05-25_final
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-06-14 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-06-14_final
2019-06-21 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2019-06-21_final
2019-06-21 11:54:58	ga_s2bm_ard_3-2-1_50JLT_2019-06-21_final
2019-06-24 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-06-24_final
2019-07-01 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-07-01_final
2019-07-04 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-04_final
2019-07-08 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-07-08_final.stac-item
2019-07-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-07-11_final
2019-07-14 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-14_final
2019-07-21 11:54:53	ga_s2bm_ard_3-2-1_50JLT_2019-07-21_final
2019-07-31 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2019-07-31_final
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final
2019-08-17 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-08-17_final.stac-item
2019-08-20 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2019-08-20_final
2019-08-23 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2019-08-23_final
2019-08-30 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2019-08-30_final
2019-09-09 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2019-09-09_final
2019-09-19 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2019-09-19_final
2019-09-22 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-09-22_final
2019-10-02 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-10-02_final
2019-10-12 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-10-12_final
2019-10-22 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-10-22_final
2019-11-18 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-11-18_final
2019-11-21 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-11-21_final
2019-11-28 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2019-11-28_final
2019-12-01 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-01_final
2019-12-08 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2019-12-08_final
2020-03-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2020-03-24_final.stac-item
2020-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-08-01_final.stac-item
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2021-02-17 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-02-17_final.stac-item
2022-02-22 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2022-02-22_final.stac-item
2022-06-08 12:04:45	ga_s2bm_ard_3-2-1_50JLS_2022-06-08_final
2022-06-12 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2022-06-12_final.stac-item
2022-08-07 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2022-08-07_final
2022-09-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-09-26_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