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
2018-07-27 09:46:27	ga_s2bm_ard_3-2-1_55HEV_2018-07-27_final
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55HEV_2018-08-13_final
2018-09-12 09:32:31	ga_s2bm_ard_3-2-1_55HEV_2018-09-12_final
2018-09-15 09:46:25	ga_s2bm_ard_3-2-1_55HEV_2018-09-15_final
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_55HEV_2018-09-25_final
2018-10-02 09:34:02	ga_s2bm_ard_3-2-1_55HEV_2018-10-02_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_55HEV_2018-10-05_final
2018-10-15 09:46:40	ga_s2bm_ard_3-2-1_55HEV_2018-10-15_final
2018-11-04 09:46:05	ga_s2bm_ard_3-2-1_55HEV_2018-11-04_final
2018-11-11 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2018-11-11_final
2018-11-14 09:47:03	ga_s2bm_ard_3-2-1_55HEV_2018-11-14_final
2018-12-24 09:46:56	ga_s2bm_ard_3-2-1_55HEV_2018-12-24_final
2018-12-31 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2018-12-31_final
2019-01-03 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2019-01-03_final
2019-01-13 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2019-01-13_final
2019-01-20 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2019-01-20_final
2019-01-23 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2019-01-23_final
2019-01-30 09:37:04	ga_s2bm_ard_3-2-1_55HEV_2019-01-30_final
2019-02-02 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2019-02-02_final
2019-02-09 09:37:04	ga_s2bm_ard_3-2-1_55HEV_2019-02-09_final
2019-02-12 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2019-02-12_final
2019-02-19 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2019-02-19_final
2019-02-22 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2019-02-22_final
2019-03-01 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2019-03-01_final
2022-09-01 09:37:05	ga_s2bm_ard_3-2-1_55HEV_2022-09-01_final.stac-item
2022-09-04 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2022-09-04_final.stac-item
2022-09-11 09:37:06	ga_s2bm_ard_3-2-1_55HEV_2022-09-11_final.stac-item
2022-09-14 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2022-09-14_final.stac-item
2022-09-21 09:37:05	ga_s2bm_ard_3-2-1_55HEV_2022-09-21_final.stac-item
2022-09-24 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2022-09-24_final.stac-item
2022-10-01 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-10-01_final.stac-item
2022-10-04 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2022-10-04_final.stac-item
2022-10-11 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2022-10-11_final.stac-item
2022-10-14 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2022-10-14_final.stac-item
2022-10-21 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-10-21_final.stac-item
2022-10-24 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2022-10-24_final.stac-item
2022-10-31 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2022-10-31_final.stac-item
2022-11-03 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2022-11-03_final.stac-item
2022-11-10 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-11-10_final.stac-item
2022-11-13 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2022-11-13_final.stac-item
2022-11-20 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-11-20_final.stac-item
2022-11-23 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2022-11-23_final.stac-item
2022-11-30 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2022-11-30_final.stac-item
2022-12-03 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2022-12-03_final.stac-item
2022-12-10 09:37:00	ga_s2bm_ard_3-2-1_55HEV_2022-12-10_final.stac-item
2022-12-20 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-12-20_final.stac-item
2022-12-23 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2022-12-23_final.stac-item
2022-12-30 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2022-12-30_final.stac-item
2023-01-02 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2023-01-02_final.stac-item
2023-01-09 09:37:00	ga_s2bm_ard_3-2-1_55HEV_2023-01-09_final.stac-item
2023-01-12 09:46:56	ga_s2bm_ard_3-2-1_55HEV_2023-01-12_final.stac-item
2023-01-19 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2023-01-19_final.stac-item
2023-01-22 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2023-01-22_final.stac-item
2023-01-29 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2023-01-29_final.stac-item
2023-02-01 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2023-02-01_final.stac-item
2023-02-08 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2023-02-08_final.stac-item
2023-02-11 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2023-02-11_final.stac-item
2023-02-18 09:37:02	ga_s2bm_ard_3-2-1_55HEV_2023-02-18_final.stac-item
2023-02-21 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2023-02-21_final.stac-item
2023-02-21 09:47:07	ga_s2bm_ard_3-2-1_55HEV_2023-02-21_final.stac-item
2023-02-28 09:37:04	ga_s2bm_ard_3-2-1_55HEV_2023-02-28_final.stac-item
2023-03-03 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2023-03-03_final.stac-item
2023-03-10 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-03-10_final.stac-item
2023-03-13 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2023-03-13_final.stac-item
2023-03-20 09:37:07	ga_s2bm_ard_3-2-1_55HEV_2023-03-20_final.stac-item
2023-03-23 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-03-23_final.stac-item
2023-03-30 09:37:07	ga_s2bm_ard_3-2-1_55HEV_2023-03-30_final.stac-item
2023-04-02 09:47:03	ga_s2bm_ard_3-2-1_55HEV_2023-04-02_final.stac-item
2023-04-09 09:37:06	ga_s2bm_ard_3-2-1_55HEV_2023-04-09_final.stac-item
2023-04-12 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2023-04-12_final.stac-item
2023-04-19 09:37:05	ga_s2bm_ard_3-2-1_55HEV_2023-04-19_final.stac-item
2023-04-22 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-04-22_final.stac-item
2023-04-29 09:37:05	ga_s2bm_ard_3-2-1_55HEV_2023-04-29_final.stac-item
2023-05-02 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-05-02_final.stac-item
2023-05-09 09:37:06	ga_s2bm_ard_3-2-1_55HEV_2023-05-09_final.stac-item
2023-05-12 09:47:03	ga_s2bm_ard_3-2-1_55HEV_2023-05-12_final.stac-item
2023-05-19 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-05-19_final.stac-item
2023-05-22 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-05-22_final.stac-item
2023-05-29 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-05-29_final.stac-item
2023-06-01 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2023-06-01_final.stac-item
2023-06-08 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-06-08_final.stac-item
2023-06-11 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-06-11_final.stac-item
2023-06-18 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-06-18_final.stac-item
2023-06-21 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2023-06-21_final.stac-item
2023-06-28 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-06-28_final.stac-item
2023-07-01 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-07-01_final.stac-item
2023-07-08 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-07-08_final.stac-item
2023-07-11 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-07-11_final.stac-item
2023-07-18 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-07-18_final.stac-item
2023-07-21 09:47:06	ga_s2bm_ard_3-2-1_55HEV_2023-07-21_final.stac-item
2023-07-28 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-07-28_final.stac-item
2023-07-31 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-07-31_final.stac-item
2023-08-07 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-08-07_final.stac-item
2023-08-10 09:47:06	ga_s2bm_ard_3-2-1_55HEV_2023-08-10_final.stac-item
2023-08-17 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-08-17_final.stac-item
2023-08-20 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-08-20_final.stac-item
2023-08-27 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2023-08-27_final.stac-item
2023-08-27 09:37:10	ga_s2bm_ard_3-2-1_55HEV_2023-08-27_final.stac-item
2023-08-30 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-08-30_final.stac-item
2023-09-06 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2023-09-06_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