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
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNK_2018-08-21_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNK_2018-08-31_final
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_53JNK_2018-09-10_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JNK_2018-09-20_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53JNK_2018-09-30_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53JNK_2018-10-10_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53JNK_2018-10-20_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53JNK_2018-10-30_final
2018-11-19 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2018-11-19_final
2018-11-29 10:34:50	ga_s2bm_ard_3-2-1_53JNK_2018-11-29_final
2018-12-09 10:34:48	ga_s2bm_ard_3-2-1_53JNK_2018-12-09_final
2019-01-28 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-01-28_final
2019-02-07 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-02-07_final
2019-02-17 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-02-17_final
2019-02-27 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2019-02-27_final
2019-03-09 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2019-03-09_final
2019-03-19 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2019-03-19_final
2019-03-29 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2019-03-29_final
2019-04-08 10:34:58	ga_s2bm_ard_3-2-1_53JNK_2019-04-08_final
2019-04-18 10:35:00	ga_s2bm_ard_3-2-1_53JNK_2019-04-18_final
2019-06-07 10:35:02	ga_s2bm_ard_3-2-1_53JNK_2019-06-07_final
2019-06-17 10:35:02	ga_s2bm_ard_3-2-1_53JNK_2019-06-17_final
2019-06-27 10:35:03	ga_s2bm_ard_3-2-1_53JNK_2019-06-27_final
2019-07-27 10:35:02	ga_s2bm_ard_3-2-1_53JNK_2019-07-27_final
2019-08-06 10:35:02	ga_s2bm_ard_3-2-1_53JNK_2019-08-06_final
2019-08-16 10:35:00	ga_s2bm_ard_3-2-1_53JNK_2019-08-16_final
2019-08-26 10:34:59	ga_s2bm_ard_3-2-1_53JNK_2019-08-26_final
2019-09-05 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2019-09-05_final
2019-09-15 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-09-15_final
2019-09-25 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-09-25_final
2019-10-05 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2019-10-05_final
2019-10-15 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2019-10-15_final
2019-10-23 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2019-10-23_final
2019-10-25 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2019-10-25_final
2019-10-30 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2019-10-30_final
2019-11-02 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2019-11-02_final
2019-11-04 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2019-11-04_final
2019-11-09 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-11-09_final
2019-11-12 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2019-11-12_final
2019-11-14 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2019-11-14_final
2019-11-19 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2019-11-19_final
2019-11-22 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2019-11-22_final
2019-11-24 10:34:48	ga_s2bm_ard_3-2-1_53JNK_2019-11-24_final
2019-11-29 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2019-11-29_final
2019-12-02 11:35:04	ga_s2bm_ard_3-2-1_51JWK_2019-12-02_final
2019-12-04 10:34:48	ga_s2bm_ard_3-2-1_53JNK_2019-12-04_final
2019-12-09 11:25:07	ga_s2bm_ard_3-2-1_51JWK_2019-12-09_final
2019-12-12 11:35:02	ga_s2bm_ard_3-2-1_51JWK_2019-12-12_final
2019-12-14 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2019-12-14_final
2019-12-19 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2019-12-19_final
2019-12-22 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2019-12-22_final
2019-12-24 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2019-12-24_final
2019-12-29 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2019-12-29_final
2020-01-01 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2020-01-01_final
2020-01-03 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2020-01-03_final
2020-01-08 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2020-01-08_final
2020-01-11 11:35:02	ga_s2bm_ard_3-2-1_51JWK_2020-01-11_final
2020-01-13 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2020-01-13_final
2020-01-18 11:25:07	ga_s2bm_ard_3-2-1_51JWK_2020-01-18_final
2020-01-21 11:35:01	ga_s2bm_ard_3-2-1_51JWK_2020-01-21_final
2020-01-23 10:34:47	ga_s2bm_ard_3-2-1_53JNK_2020-01-23_final
2020-01-28 11:25:06	ga_s2bm_ard_3-2-1_51JWK_2020-01-28_final
2020-02-02 10:34:47	ga_s2bm_ard_3-2-1_53JNK_2020-02-02_final
2020-02-12 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2020-02-12_final
2020-02-22 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2020-02-22_final
2020-03-03 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2020-03-03_final
2020-03-13 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2020-03-13_final
2020-03-23 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2020-03-23_final
2020-04-02 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2020-04-02_final
2020-04-12 10:34:50	ga_s2bm_ard_3-2-1_53JNK_2020-04-12_final
2020-04-22 10:34:49	ga_s2bm_ard_3-2-1_53JNK_2020-04-22_final
2020-05-02 10:34:51	ga_s2bm_ard_3-2-1_53JNK_2020-05-02_final
2020-05-12 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2020-05-12_final
2020-05-22 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2020-05-22_final
2020-06-01 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-06-01_final
2020-06-11 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-06-11_final
2020-06-21 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-06-21_final
2020-07-01 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-07-01_final
2020-07-11 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-07-11_final
2020-07-21 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-07-21_final
2020-07-31 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-07-31_final
2020-08-10 10:34:58	ga_s2bm_ard_3-2-1_53JNK_2020-08-10_final
2020-08-20 10:34:58	ga_s2bm_ard_3-2-1_53JNK_2020-08-20_final
2020-08-30 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-08-30_final
2020-09-09 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-09-09_final
2020-09-19 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-09-19_final
2020-09-29 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-09-29_final
2020-10-09 10:34:58	ga_s2bm_ard_3-2-1_53JNK_2020-10-09_final
2020-10-19 10:34:58	ga_s2bm_ard_3-2-1_53JNK_2020-10-19_final
2020-10-29 10:34:57	ga_s2bm_ard_3-2-1_53JNK_2020-10-29_final
2020-11-08 10:34:56	ga_s2bm_ard_3-2-1_53JNK_2020-11-08_final
2020-11-18 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2020-11-18_final
2020-11-28 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2020-11-28_final
2020-12-18 10:34:50	ga_s2bm_ard_3-2-1_53JNK_2020-12-18_final
2020-12-28 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2020-12-28_final
2021-01-07 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2021-01-07_final
2021-01-17 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2021-01-17_final
2021-01-27 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2021-01-27_final
2021-02-06 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2021-02-06_final
2021-05-17 10:34:54	ga_s2bm_ard_3-2-1_53JNK_2021-05-17_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