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
2017-07-01 10:07:04	ga_s2bm_ard_3-2-1_54LZK_2017-07-01_final
2017-07-21 10:07:04	ga_s2bm_ard_3-2-1_54LZK_2017-07-21_final
2017-07-24 10:18:54	ga_s2bm_ard_3-2-1_54LZK_2017-07-24_final
2017-08-03 10:17:05	ga_s2bm_ard_3-2-1_54LZK_2017-08-03_final
2017-08-23 10:17:02	ga_s2bm_ard_3-2-1_54LZK_2017-08-23_final
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54LZK_2017-08-30_final
2017-09-02 10:18:48	ga_s2bm_ard_3-2-1_54LZK_2017-09-02_final
2017-10-12 10:18:40	ga_s2bm_ard_3-2-1_54LZK_2017-10-12_final
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_54LZK_2017-10-29_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54LZK_2017-11-01_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54LZK_2017-11-08_final
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54LZK_2017-11-11_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54LZK_2017-11-21_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54LZK_2017-11-28_final
2017-12-01 10:16:54	ga_s2bm_ard_3-2-1_54LZK_2017-12-01_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54LZK_2017-12-11_final
2017-12-21 10:16:53	ga_s2bm_ard_3-2-1_54LZK_2017-12-21_final
2017-12-28 10:06:53	ga_s2bm_ard_3-2-1_54LZK_2017-12-28_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54LZK_2018-01-07_final
2018-01-10 10:16:57	ga_s2bm_ard_3-2-1_54LZK_2018-01-10_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54LZK_2018-01-20_final
2018-01-30 10:16:59	ga_s2bm_ard_3-2-1_54LZK_2018-01-30_final
2018-02-06 10:06:57	ga_s2bm_ard_3-2-1_54LZK_2018-02-06_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_54LZK_2018-02-09_final
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54LZK_2018-02-16_final
2018-02-19 10:16:58	ga_s2bm_ard_3-2-1_54LZK_2018-02-19_final
2018-02-26 10:06:56	ga_s2bm_ard_3-2-1_54LZK_2018-02-26_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54LZK_2018-03-01_final
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54LZK_2018-03-08_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LZK_2018-03-11_final
2018-03-18 10:06:57	ga_s2bm_ard_3-2-1_54LZK_2018-03-18_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54LZK_2018-03-21_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54LZK_2018-03-28_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54LZK_2018-03-31_final
2018-04-07 10:07:01	ga_s2bm_ard_3-2-1_54LZK_2018-04-07_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54LZK_2018-04-10_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-04-17_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LZK_2018-04-20_final
2018-04-27 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-04-27_final
2018-05-07 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-05-07_final
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_54LZK_2018-05-10_final
2018-05-17 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-05-17_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54LZK_2018-05-30_final
2018-06-06 10:07:02	ga_s2bm_ard_3-2-1_54LZK_2018-06-06_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54LZK_2018-06-09_final
2018-06-16 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-06-16_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54LZK_2018-06-19_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-06-26_final
2018-06-29 10:17:05	ga_s2bm_ard_3-2-1_54LZK_2018-06-29_final
2018-07-06 10:09:42	ga_s2bm_ard_3-2-1_54LZK_2018-07-06_final
2018-07-09 10:17:04	ga_s2bm_ard_3-2-1_54LZK_2018-07-09_final
2018-07-16 10:07:03	ga_s2bm_ard_3-2-1_54LZK_2018-07-16_final
2021-04-21 10:10:49	ga_s2bm_ard_3-2-1_54LZK_2021-04-21_final
2021-04-24 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2021-04-24_final
2021-05-01 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2021-05-01_final
2021-05-04 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2021-05-04_final
2021-05-11 10:10:53	ga_s2bm_ard_3-2-1_54LZK_2021-05-11_final
2021-05-14 10:20:48	ga_s2bm_ard_3-2-1_54LZK_2021-05-14_final
2021-05-21 10:10:55	ga_s2bm_ard_3-2-1_54LZK_2021-05-21_final
2021-05-24 10:20:49	ga_s2bm_ard_3-2-1_54LZK_2021-05-24_final
2021-05-31 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-05-31_final
2021-06-03 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-06-03_final
2021-06-10 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-06-10_final
2021-06-13 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-06-13_final
2021-06-20 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-06-20_final
2021-06-23 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-06-23_final
2021-06-30 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-06-30_final
2021-07-03 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-07-03_final
2021-07-10 10:10:57	ga_s2bm_ard_3-2-1_54LZK_2021-07-10_final
2021-07-13 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2021-07-13_final
2021-07-20 10:10:57	ga_s2bm_ard_3-2-1_54LZK_2021-07-20_final
2021-07-23 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2021-07-23_final
2021-07-30 10:10:57	ga_s2bm_ard_3-2-1_54LZK_2021-07-30_final
2021-08-02 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2021-08-02_final
2021-08-09 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-08-09_final
2021-08-12 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-08-12_final
2021-08-19 10:10:54	ga_s2bm_ard_3-2-1_54LZK_2021-08-19_final
2021-08-22 10:20:48	ga_s2bm_ard_3-2-1_54LZK_2021-08-22_final
2021-08-29 10:10:52	ga_s2bm_ard_3-2-1_54LZK_2021-08-29_final
2021-09-01 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2021-09-01_final
2021-09-08 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2021-09-08_final
2021-09-11 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2021-09-11_final
2021-09-18 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2021-09-18_final
2021-09-21 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2021-09-21_final
2021-09-28 10:10:54	ga_s2bm_ard_3-2-1_54LZK_2021-09-28_final
2021-10-01 10:20:49	ga_s2bm_ard_3-2-1_54LZK_2021-10-01_final
2021-10-08 10:10:55	ga_s2bm_ard_3-2-1_54LZK_2021-10-08_final
2021-10-11 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-10-11_final
2021-10-18 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-10-18_final
2021-10-21 10:20:51	ga_s2bm_ard_3-2-1_54LZK_2021-10-21_final
2021-10-28 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2021-10-28_final
2021-10-31 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2021-10-31_final
2021-11-07 10:10:55	ga_s2bm_ard_3-2-1_54LZK_2021-11-07_final
2021-11-10 10:20:49	ga_s2bm_ard_3-2-1_54LZK_2021-11-10_final
2021-11-17 10:10:53	ga_s2bm_ard_3-2-1_54LZK_2021-11-17_final
2021-11-20 10:20:47	ga_s2bm_ard_3-2-1_54LZK_2021-11-20_final
2021-11-27 10:10:50	ga_s2bm_ard_3-2-1_54LZK_2021-11-27_final
2021-11-30 10:20:45	ga_s2bm_ard_3-2-1_54LZK_2021-11-30_final
2021-12-07 10:10:50	ga_s2bm_ard_3-2-1_54LZK_2021-12-07_final
2021-12-10 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2021-12-10_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