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
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53HNC_2018-09-20_final
2018-09-27 10:22:43	ga_s2bm_ard_3-2-1_53HNC_2018-09-27_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53HNC_2018-09-30_final
2018-10-07 10:22:44	ga_s2bm_ard_3-2-1_53HNC_2018-10-07_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53HNC_2018-10-10_final
2018-10-17 10:22:49	ga_s2bm_ard_3-2-1_53HNC_2018-10-17_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53HNC_2018-10-20_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53HNC_2018-10-27_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53HNC_2018-10-30_final
2018-11-06 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2018-11-06_final
2018-11-09 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2018-11-09_final
2018-11-16 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2018-11-16_final
2018-11-19 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2018-11-19_final
2018-11-26 10:26:32	ga_s2bm_ard_3-2-1_53HNC_2018-11-26_final
2018-11-29 10:36:31	ga_s2bm_ard_3-2-1_53HNC_2018-11-29_final
2018-12-06 10:26:35	ga_s2bm_ard_3-2-1_53HNC_2018-12-06_final
2018-12-09 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2018-12-09_final
2018-12-16 10:26:34	ga_s2bm_ard_3-2-1_53HNC_2018-12-16_final
2018-12-19 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2018-12-19_final
2018-12-26 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2018-12-26_final
2018-12-29 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2018-12-29_final
2019-01-05 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2019-01-05_final
2019-01-08 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2019-01-08_final
2019-01-15 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2019-01-15_final
2019-01-18 10:36:35	ga_s2bm_ard_3-2-1_53HNC_2019-01-18_final
2019-01-25 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2019-01-25_final
2019-01-28 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2019-01-28_final
2019-02-04 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2019-02-04_final
2019-02-07 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2019-02-07_final
2019-02-14 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2019-02-14_final
2019-02-17 10:36:35	ga_s2bm_ard_3-2-1_53HNC_2019-02-17_final
2019-02-24 10:26:39	ga_s2bm_ard_3-2-1_53HNC_2019-02-24_final
2019-02-27 10:36:31	ga_s2bm_ard_3-2-1_53HNC_2019-02-27_final
2019-03-06 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2019-03-06_final
2019-03-09 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2019-03-09_final
2019-03-10 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2019-03-10_final
2019-03-16 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2019-03-16_final
2019-03-19 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2019-03-19_final
2019-03-20 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2019-03-20_final
2019-03-26 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2019-03-26_final
2019-03-29 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2019-03-29_final
2019-04-05 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2019-04-05_final
2019-04-08 10:36:40	ga_s2bm_ard_3-2-1_53HNC_2019-04-08_final
2019-04-15 10:26:46	ga_s2bm_ard_3-2-1_53HNC_2019-04-15_final
2019-04-18 10:36:41	ga_s2bm_ard_3-2-1_53HNC_2019-04-18_final
2019-04-25 10:26:47	ga_s2bm_ard_3-2-1_53HNC_2019-04-25_final
2019-04-28 10:36:43	ga_s2bm_ard_3-2-1_53HNC_2019-04-28_final
2019-04-29 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-04-29_final
2019-05-05 10:26:48	ga_s2bm_ard_3-2-1_53HNC_2019-05-05_final
2019-05-08 10:36:44	ga_s2bm_ard_3-2-1_53HNC_2019-05-08_final
2019-05-29 10:06:37	ga_s2bm_ard_3-2-1_54HWH_2019-05-29_final
2019-06-01 10:16:32	ga_s2bm_ard_3-2-1_54HWH_2019-06-01_final
2019-06-08 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-06-08_final
2019-06-11 10:16:31	ga_s2bm_ard_3-2-1_54HWH_2019-06-11_final
2019-06-18 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-06-18_final
2019-06-21 10:16:32	ga_s2bm_ard_3-2-1_54HWH_2019-06-21_final
2019-06-28 10:06:37	ga_s2bm_ard_3-2-1_54HWH_2019-06-28_final
2019-07-01 10:16:32	ga_s2bm_ard_3-2-1_54HWH_2019-07-01_final
2019-07-08 10:06:37	ga_s2bm_ard_3-2-1_54HWH_2019-07-08_final
2019-07-11 10:16:33	ga_s2bm_ard_3-2-1_54HWH_2019-07-11_final
2019-07-18 10:06:37	ga_s2bm_ard_3-2-1_54HWH_2019-07-18_final
2019-07-21 10:16:33	ga_s2bm_ard_3-2-1_54HWH_2019-07-21_final
2019-07-28 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-07-28_final
2019-07-31 10:16:32	ga_s2bm_ard_3-2-1_54HWH_2019-07-31_final
2019-08-07 10:06:35	ga_s2bm_ard_3-2-1_54HWH_2019-08-07_final
2019-08-10 10:16:31	ga_s2bm_ard_3-2-1_54HWH_2019-08-10_final
2019-08-17 10:06:34	ga_s2bm_ard_3-2-1_54HWH_2019-08-17_final
2019-08-20 10:16:30	ga_s2bm_ard_3-2-1_54HWH_2019-08-20_final
2019-08-27 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2019-08-27_final
2019-08-30 10:16:28	ga_s2bm_ard_3-2-1_54HWH_2019-08-30_final
2019-09-06 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2019-09-06_final
2019-09-09 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2019-09-09_final
2021-05-07 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2021-05-07_final.stac-item
2021-05-17 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2021-05-17_final.stac-item
2021-05-27 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-05-27_final.stac-item
2021-06-06 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-06-06_final.stac-item
2021-06-09 10:46:32	ga_s2bm_ard_3-2-1_53HMC_2021-06-09_final.stac-item
2021-06-16 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-06-16_final.stac-item
2021-06-26 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-06-26_final.stac-item
2021-07-06 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2021-07-06_final.stac-item
2021-07-09 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2021-07-09_final.stac-item
2021-07-16 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2021-07-16_final.stac-item
2021-07-26 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2021-07-26_final.stac-item
2021-07-29 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2021-07-29_final.stac-item
2021-08-05 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-08-05_final.stac-item
2021-08-15 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2021-08-15_final.stac-item
2021-08-25 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2021-08-25_final.stac-item
2021-09-04 10:36:36	ga_s2bm_ard_3-2-1_53HMC_2021-09-04_final.stac-item
2021-09-14 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2021-09-14_final.stac-item
2021-09-24 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2021-09-24_final.stac-item
2021-10-04 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2021-10-04_final.stac-item
2021-10-14 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-10-14_final.stac-item
2021-10-24 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2021-10-24_final.stac-item
2021-11-03 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2021-11-03_final.stac-item
2021-11-13 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2021-11-13_final.stac-item
2021-11-23 10:36:36	ga_s2bm_ard_3-2-1_53HMC_2021-11-23_final.stac-item
2021-12-03 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2021-12-03_final.stac-item
2021-12-06 10:46:26	ga_s2bm_ard_3-2-1_53HMC_2021-12-06_final.stac-item
2021-12-13 10:36:33	ga_s2bm_ard_3-2-1_53HMC_2021-12-13_final.stac-item
2021-12-23 10:36:34	ga_s2bm_ard_3-2-1_53HMC_2021-12-23_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