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
2017-07-14 10:17:06	ga_s2bm_ard_3-2-1_54LYK_2017-07-14_final
2017-07-24 10:18:54	ga_s2bm_ard_3-2-1_54LYK_2017-07-24_final
2017-08-03 10:17:05	ga_s2bm_ard_3-2-1_54LYK_2017-08-03_final
2017-08-13 10:18:52	ga_s2bm_ard_3-2-1_54LYK_2017-08-13_final
2017-08-23 10:17:02	ga_s2bm_ard_3-2-1_54LYK_2017-08-23_final
2017-09-02 10:18:48	ga_s2bm_ard_3-2-1_54LYK_2017-09-02_final
2017-09-12 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2017-09-12_final
2017-09-22 10:18:42	ga_s2bm_ard_3-2-1_54LYK_2017-09-22_final
2017-10-02 10:16:50	ga_s2bm_ard_3-2-1_54LYK_2017-10-02_final
2017-10-12 10:18:40	ga_s2bm_ard_3-2-1_54LYK_2017-10-12_final
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54LYK_2017-10-22_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54LYK_2017-11-01_final
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LYK_2017-11-11_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54LYK_2017-11-21_final
2017-12-01 10:16:54	ga_s2bm_ard_3-2-1_54LYK_2017-12-01_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54LYK_2017-12-11_final
2017-12-21 10:16:53	ga_s2bm_ard_3-2-1_54LYK_2017-12-21_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_54LYK_2017-12-31_final
2018-01-10 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-01-10_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54LYK_2018-01-20_final
2018-01-30 10:16:59	ga_s2bm_ard_3-2-1_54LYK_2018-01-30_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54LYK_2018-02-09_final
2018-02-19 10:16:58	ga_s2bm_ard_3-2-1_54LYK_2018-02-19_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-03-01_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-03-11_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54LYK_2018-03-21_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54LYK_2018-03-31_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54LYK_2018-04-10_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-04-20_final
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-05-10_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54LYK_2018-05-30_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54LYK_2018-06-09_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-06-19_final
2018-06-29 10:17:05	ga_s2bm_ard_3-2-1_54LYK_2018-06-29_final
2018-07-09 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-07-09_final
2018-07-19 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-07-19_final
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54LYK_2018-07-29_final
2018-08-08 10:17:01	ga_s2bm_ard_3-2-1_54LYK_2018-08-08_final
2018-08-18 10:16:59	ga_s2bm_ard_3-2-1_54LYK_2018-08-18_final
2018-08-28 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-08-28_final
2018-09-07 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-09-07_final
2018-09-17 10:16:57	ga_s2bm_ard_3-2-1_54LYK_2018-09-17_final
2018-09-27 10:17:00	ga_s2bm_ard_3-2-1_54LYK_2018-09-27_final
2018-10-07 10:17:01	ga_s2bm_ard_3-2-1_54LYK_2018-10-07_final
2018-10-17 10:17:03	ga_s2bm_ard_3-2-1_54LYK_2018-10-17_final
2018-10-27 10:17:03	ga_s2bm_ard_3-2-1_54LYK_2018-10-27_final
2018-11-03 10:07:02	ga_s2bm_ard_3-2-1_54LYK_2018-11-03_final
2018-11-06 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2018-11-06_final
2018-11-16 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2018-11-16_final
2018-11-26 10:20:50	ga_s2bm_ard_3-2-1_54LYK_2018-11-26_final
2019-09-14 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2019-09-14_final
2019-09-24 11:01:12	ga_s2bm_ard_3-2-1_53LKE_2019-09-24_final
2019-10-04 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2019-10-04_final
2019-10-14 11:01:14	ga_s2bm_ard_3-2-1_53LKE_2019-10-14_final
2019-10-24 11:01:12	ga_s2bm_ard_3-2-1_53LKE_2019-10-24_final
2019-11-03 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2019-11-03_final
2019-11-13 11:01:11	ga_s2bm_ard_3-2-1_53LKE_2019-11-13_final
2019-11-23 11:01:09	ga_s2bm_ard_3-2-1_53LKE_2019-11-23_final
2019-12-03 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2019-12-03_final
2019-12-13 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2019-12-13_final
2019-12-23 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2019-12-23_final
2020-01-02 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-01-02_final
2020-01-12 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-01-12_final
2020-01-22 11:01:06	ga_s2bm_ard_3-2-1_53LKE_2020-01-22_final
2020-02-01 11:01:05	ga_s2bm_ard_3-2-1_53LKE_2020-02-01_final
2020-02-11 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-02-11_final
2020-02-21 11:01:09	ga_s2bm_ard_3-2-1_53LKE_2020-02-21_final
2020-03-02 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2020-03-02_final
2020-03-12 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2020-03-12_final
2020-03-22 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2020-03-22_final
2020-04-01 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2020-04-01_final
2020-04-11 11:01:09	ga_s2bm_ard_3-2-1_53LKE_2020-04-11_final
2020-04-21 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-04-21_final
2020-05-01 11:01:09	ga_s2bm_ard_3-2-1_53LKE_2020-05-01_final
2020-05-11 11:01:11	ga_s2bm_ard_3-2-1_53LKE_2020-05-11_final
2020-05-21 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2020-05-21_final
2020-05-31 11:01:14	ga_s2bm_ard_3-2-1_53LKE_2020-05-31_final
2020-06-10 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-06-10_final
2020-06-20 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-06-20_final
2020-06-30 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-06-30_final
2020-07-10 11:01:14	ga_s2bm_ard_3-2-1_53LKE_2020-07-10_final
2020-07-20 11:01:14	ga_s2bm_ard_3-2-1_53LKE_2020-07-20_final
2020-07-30 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-07-30_final
2020-07-30 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-07-30_final
2020-08-09 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2020-08-09_final
2020-08-09 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-08-09_final
2020-08-19 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2020-08-19_final
2020-08-19 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-08-19_final
2020-08-29 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2020-08-29_final
2020-08-29 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-08-29_final
2020-09-08 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-09-08_final
2020-09-18 11:01:06	ga_s2bm_ard_3-2-1_53LKE_2020-09-18_final
2020-09-18 11:01:14	ga_s2bm_ard_3-2-1_53LKE_2020-09-18_final
2020-09-28 11:01:15	ga_s2bm_ard_3-2-1_53LKE_2020-09-28_final
2020-10-08 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-10-08_final
2020-10-18 11:01:08	ga_s2bm_ard_3-2-1_53LKE_2020-10-18_final
2020-10-18 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-10-18_final
2020-10-28 11:01:16	ga_s2bm_ard_3-2-1_53LKE_2020-10-28_final
2021-05-31 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2021-05-31_final
2021-06-10 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2021-06-10_final

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