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 10:11:31	ga_s2bm_ard_3-2-1_54KZA_2017-07-01_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_54KZA_2017-07-08_final
2017-07-18 10:00:32	ga_s2bm_ard_3-2-1_54KZA_2017-07-18_final
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54KZA_2017-07-21_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_54KZA_2017-07-28_final
2017-08-07 10:00:31	ga_s2bm_ard_3-2-1_54KZA_2017-08-07_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZA_2017-08-10_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54KZA_2017-08-17_final
2017-08-27 10:01:47	ga_s2bm_ard_3-2-1_54KZA_2017-08-27_final
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KZA_2017-08-30_final
2017-09-06 09:57:00	ga_s2bm_ard_3-2-1_54KZA_2017-09-06_final
2017-09-16 10:01:41	ga_s2bm_ard_3-2-1_54KZA_2017-09-16_final
2017-09-26 09:56:53	ga_s2bm_ard_3-2-1_54KZA_2017-09-26_final
2017-10-06 10:01:36	ga_s2bm_ard_3-2-1_54KZA_2017-10-06_final
2017-10-09 10:06:50	ga_s2bm_ard_3-2-1_54KZA_2017-10-09_final
2017-10-16 09:56:53	ga_s2bm_ard_3-2-1_54KZA_2017-10-16_final
2017-10-26 10:02:29	ga_s2bm_ard_3-2-1_54KZA_2017-10-26_final
2017-10-29 10:06:51	ga_s2bm_ard_3-2-1_54KZA_2017-10-29_final
2017-11-05 09:56:54	ga_s2bm_ard_3-2-1_54KZA_2017-11-05_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54KZA_2017-11-08_final
2017-11-18 10:06:52	ga_s2bm_ard_3-2-1_54KZA_2017-11-18_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_54KZA_2017-11-25_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54KZA_2017-11-28_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_54KZA_2017-12-05_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54KZA_2017-12-08_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_54KZA_2017-12-15_final
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54KZA_2017-12-18_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54KZA_2017-12-25_final
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54KZA_2017-12-28_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54KZA_2018-01-04_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54KZA_2018-01-07_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54KZA_2018-01-14_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54KZA_2018-01-17_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54KZA_2018-01-24_final
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54KZA_2018-01-27_final
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_54KZA_2018-02-03_final
2018-02-06 10:11:24	ga_s2bm_ard_3-2-1_54KZA_2018-02-06_final
2018-02-13 10:01:34	ga_s2bm_ard_3-2-1_54KZA_2018-02-13_final
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54KZA_2018-02-16_final
2018-02-23 09:56:59	ga_s2bm_ard_3-2-1_54KZA_2018-02-23_final
2018-02-26 10:11:23	ga_s2bm_ard_3-2-1_54KZA_2018-02-26_final
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54KZA_2018-03-05_final
2018-03-08 10:06:54	ga_s2bm_ard_3-2-1_54KZA_2018-03-08_final
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_54KZA_2018-03-15_final
2018-03-18 10:06:57	ga_s2bm_ard_3-2-1_54KZA_2018-03-18_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_54KZA_2018-03-25_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54KZA_2018-03-28_final
2018-04-04 09:57:04	ga_s2bm_ard_3-2-1_54KZA_2018-04-04_final
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_54KZA_2018-07-03_final
2018-07-23 09:57:05	ga_s2bm_ard_3-2-1_54KZA_2018-07-23_final
2018-08-02 09:57:04	ga_s2bm_ard_3-2-1_54KZA_2018-08-02_final
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KZA_2018-08-05_final
2018-08-25 10:06:56	ga_s2bm_ard_3-2-1_54KZA_2018-08-25_final
2018-09-04 10:06:55	ga_s2bm_ard_3-2-1_54KZA_2018-09-04_final
2019-12-29 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2019-12-29_final
2020-01-08 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2020-01-08_final
2020-01-18 09:42:52	ga_s2bm_ard_3-2-1_55KHR_2020-01-18_final
2020-01-28 09:42:50	ga_s2bm_ard_3-2-1_55KHR_2020-01-28_final
2020-02-07 09:42:52	ga_s2bm_ard_3-2-1_55KHR_2020-02-07_final
2020-02-17 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2020-02-17_final
2020-02-27 09:42:55	ga_s2bm_ard_3-2-1_55KHR_2020-02-27_final
2020-03-08 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2020-03-08_final
2020-03-18 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2020-03-18_final
2020-03-28 09:42:55	ga_s2bm_ard_3-2-1_55KHR_2020-03-28_final
2020-04-07 09:42:55	ga_s2bm_ard_3-2-1_55KHR_2020-04-07_final
2020-04-17 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2020-04-17_final
2020-04-27 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2020-04-27_final
2020-05-07 09:42:55	ga_s2bm_ard_3-2-1_55KHR_2020-05-07_final
2020-05-17 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2020-05-17_final
2020-06-06 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-06-06_final
2020-06-16 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-06-16_final
2020-07-06 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-07-06_final
2020-07-16 09:42:59	ga_s2bm_ard_3-2-1_55KHR_2020-07-16_final
2020-07-26 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-07-26_final
2020-08-05 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-08-05_final
2020-08-15 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-08-15_final
2020-08-25 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-08-25_final
2020-09-04 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-09-04_final
2020-09-14 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-09-14_final
2020-09-24 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-09-24_final
2020-10-04 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-10-04_final
2020-10-14 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-10-14_final
2020-10-24 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-10-24_final
2020-11-03 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2020-11-03_final
2020-11-13 09:42:59	ga_s2bm_ard_3-2-1_55KHR_2020-11-13_final
2020-11-23 09:42:58	ga_s2bm_ard_3-2-1_55KHR_2020-11-23_final
2020-12-03 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2020-12-03_final
2020-12-13 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2020-12-13_final
2020-12-23 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2020-12-23_final
2021-01-02 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-01-02_final
2021-01-12 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-01-12_final
2021-01-22 09:42:58	ga_s2bm_ard_3-2-1_55KHR_2021-01-22_final
2021-02-01 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-02-01_final
2021-02-11 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-02-11_final
2021-02-21 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-02-21_final
2021-03-03 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-03-03_final
2021-03-13 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-03-13_final
2021-03-23 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2021-03-23_final
2021-04-02 09:42:56	ga_s2bm_ard_3-2-1_55KHR_2021-04-02_final
2021-04-12 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2021-04-12_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