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
2019-01-28 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-01-28_final
2019-02-07 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-02-07_final
2019-02-17 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-02-17_final
2019-02-27 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-02-27_final
2019-03-09 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2019-03-09_final
2019-03-19 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-03-19_final
2019-03-29 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2019-03-29_final
2019-04-08 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2019-04-08_final
2019-04-18 10:35:58	ga_s2bm_ard_3-2-1_53JNF_2019-04-18_final
2019-04-28 10:35:59	ga_s2bm_ard_3-2-1_53JNF_2019-04-28_final
2019-05-08 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-05-08_final
2019-05-18 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-05-18_final
2019-05-28 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-05-28_final
2019-06-07 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-06-07_final
2019-06-17 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-06-17_final
2019-06-27 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-06-27_final
2019-07-07 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-07-07_final
2019-07-17 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-07-17_final
2019-07-27 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-07-27_final
2019-08-06 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-08-06_final
2019-08-16 10:35:58	ga_s2bm_ard_3-2-1_53JNF_2019-08-16_final
2019-08-26 10:35:57	ga_s2bm_ard_3-2-1_53JNF_2019-08-26_final
2019-09-05 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2019-09-05_final
2019-09-15 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-09-15_final
2019-09-25 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-09-25_final
2019-10-05 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-05_final
2019-10-15 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-15_final
2019-10-25 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-25_final
2019-11-04 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-11-04_final
2019-11-14 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-11-14_final
2019-11-24 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2019-11-24_final
2019-12-04 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2019-12-04_final
2019-12-14 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2019-12-14_final
2019-12-24 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2019-12-24_final
2020-01-03 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-01-03_final
2020-01-13 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-01-13_final
2020-01-23 10:35:45	ga_s2bm_ard_3-2-1_53JNF_2020-01-23_final
2020-01-27 11:56:15	ga_s2bm_ard_3-2-1_50JML_2020-01-27_final
2020-02-02 10:35:45	ga_s2bm_ard_3-2-1_53JNF_2020-02-02_final
2020-02-03 11:46:19	ga_s2bm_ard_3-2-1_50JML_2020-02-03_final
2020-02-06 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-02-06_final
2020-02-12 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-02-12_final
2020-02-13 11:46:21	ga_s2bm_ard_3-2-1_50JML_2020-02-13_final
2020-02-16 11:56:18	ga_s2bm_ard_3-2-1_50JML_2020-02-16_final
2020-02-22 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-02-22_final
2020-02-23 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-02-23_final
2020-02-26 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-02-26_final
2020-03-03 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-03_final
2020-03-04 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-03-04_final
2020-03-07 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-07_final
2020-03-13 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-13_final
2020-03-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2020-03-14_final
2020-03-17 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-17_final
2020-03-23 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-23_final
2020-03-24 11:46:24	ga_s2bm_ard_3-2-1_50JML_2020-03-24_final
2020-03-27 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-27_final
2020-04-02 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-04-02_final
2020-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-04-03_final
2020-04-06 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-04-06_final
2020-04-12 10:35:48	ga_s2bm_ard_3-2-1_53JNF_2020-04-12_final
2020-04-13 11:46:22	ga_s2bm_ard_3-2-1_50JML_2020-04-13_final
2020-04-16 11:56:18	ga_s2bm_ard_3-2-1_50JML_2020-04-16_final
2020-04-22 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-04-22_final
2020-04-23 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-04-23_final
2020-04-26 11:56:17	ga_s2bm_ard_3-2-1_50JML_2020-04-26_final
2020-05-02 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-05-02_final
2020-05-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2020-05-03_final
2020-05-06 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-05-06_final
2020-05-12 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2020-05-12_final
2020-05-13 11:46:25	ga_s2bm_ard_3-2-1_50JML_2020-05-13_final
2020-05-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2020-05-16_final
2020-05-22 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2020-05-22_final
2020-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2020-05-23_final
2020-05-26 11:56:27	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final
2020-06-01 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-06-01_final
2020-06-02 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-02_final
2020-06-05 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-06-05_final
2020-06-11 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-06-11_final
2020-06-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-12_final
2020-06-15 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-06-15_final
2020-06-21 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-06-21_final
2020-06-22 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-22_final
2020-06-25 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-06-25_final
2020-07-02 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-02_final
2020-07-05 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-07-05_final
2020-07-12 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-12_final
2020-07-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2020-07-15_final
2020-07-22 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-07-22_final
2020-07-25 11:56:28	ga_s2bm_ard_3-2-1_50JML_2020-07-25_final
2020-08-01 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-01_final
2020-08-04 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-08-04_final
2020-08-11 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-11_final
2020-08-14 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-08-14_final
2020-08-21 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-21_final
2020-08-24 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-08-24_final
2020-08-31 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-31_final
2020-09-03 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-09-03_final
2021-08-29 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-08-29_final
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final
2021-10-25 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-10-25_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