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
2017-11-20 10:47:12	ga_s2bm_ard_3-2-1_52JGM_2017-11-20_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52JGL_2018-04-29_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_52JGL_2018-05-06_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52JGL_2018-05-09_final
2018-05-16 10:45:10	ga_s2bm_ard_3-2-1_52JGL_2018-05-16_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JGL_2018-05-19_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_52JGL_2018-05-26_final
2018-05-29 10:54:52	ga_s2bm_ard_3-2-1_52JGL_2018-05-29_final
2018-06-05 10:45:09	ga_s2bm_ard_3-2-1_52JGL_2018-06-05_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JGL_2018-06-08_final.stac-item
2018-06-15 10:45:10	ga_s2bm_ard_3-2-1_52JGL_2018-06-15_final
2018-06-18 10:54:54	ga_s2bm_ard_3-2-1_52JGL_2018-06-18_final
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_52JGL_2018-06-25_final
2018-06-28 10:54:55	ga_s2bm_ard_3-2-1_52JGL_2018-06-28_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_52JGL_2018-07-05_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JGL_2018-07-08_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_52JGL_2018-07-15_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_52JGL_2018-07-18_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_52JGL_2018-07-25_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGL_2018-07-28_final
2018-07-28 10:55:43	ga_s2bm_ard_3-2-1_52JGL_2018-07-28_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_52JGL_2018-08-04_final
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JGL_2018-08-07_final
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_52JGL_2018-08-14_final
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_52JGL_2018-08-17_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_52JGL_2018-08-24_final
2018-08-27 10:49:47	ga_s2bm_ard_3-2-1_52JGL_2018-08-27_final
2018-08-27 10:55:37	ga_s2bm_ard_3-2-1_52JGL_2018-08-27_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_52JGL_2018-09-03_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_52JGL_2018-09-06_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_52JGL_2018-09-13_final
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52JGL_2018-09-16_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_52JGL_2018-09-23_final
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52JGL_2018-09-26_final
2018-09-26 10:55:40	ga_s2bm_ard_3-2-1_52JGL_2018-09-26_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_52JGL_2018-10-03_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_52JGL_2018-10-06_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_52JGL_2018-10-13_final
2020-10-22 10:46:04	ga_s2bm_ard_3-2-1_52JGL_2020-10-22_final
2020-10-25 10:56:00	ga_s2bm_ard_3-2-1_52JGL_2020-10-25_final
2020-11-01 10:46:03	ga_s2bm_ard_3-2-1_52JGL_2020-11-01_final
2020-11-04 10:55:59	ga_s2bm_ard_3-2-1_52JGL_2020-11-04_final
2020-11-11 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-11-11_final
2020-11-14 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2020-11-14_final
2020-11-21 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-11-21_final
2020-11-24 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2020-11-24_final
2020-12-01 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2020-12-01_final
2020-12-04 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2020-12-04_final
2020-12-11 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2020-12-11_final
2020-12-14 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2020-12-14_final
2020-12-21 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2020-12-21_final
2020-12-21 10:46:02	ga_s2bm_ard_3-2-1_52JGL_2020-12-21_final
2020-12-24 10:55:48	ga_s2bm_ard_3-2-1_52JGL_2020-12-24_final
2020-12-24 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2020-12-24_final
2020-12-31 10:45:53	ga_s2bm_ard_3-2-1_52JGL_2020-12-31_final
2020-12-31 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2020-12-31_final
2021-01-03 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-01-03_final
2021-01-10 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-01-10_final
2021-01-13 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-01-13_final
2021-01-20 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2021-01-20_final
2021-01-23 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-01-23_final
2021-01-30 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2021-01-30_final
2021-02-02 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-02-02_final
2021-02-09 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-02-09_final
2021-02-12 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-02-12_final
2021-02-19 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-02-19_final
2021-02-22 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2021-02-22_final
2021-03-01 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-03-01_final
2021-03-04 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-03-04_final
2021-03-11 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-03-11_final
2021-03-14 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-03-14_final
2021-03-21 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2021-03-21_final
2021-03-24 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-03-24_final
2021-03-31 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-03-31_final
2021-04-03 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2021-04-03_final
2021-04-10 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2021-04-10_final
2021-04-13 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2021-04-13_final
2021-04-20 10:45:55	ga_s2bm_ard_3-2-1_52JGL_2021-04-20_final
2021-04-23 10:55:50	ga_s2bm_ard_3-2-1_52JGL_2021-04-23_final
2021-04-30 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2021-04-30_final
2021-05-03 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2021-05-03_final
2021-05-10 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-05-10_final
2021-05-13 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-05-13_final
2021-05-20 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2021-05-20_final
2021-05-23 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-05-23_final
2021-05-30 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-05-30_final
2022-12-24 10:55:04	ga_s2bm_ard_3-2-1_52JGQ_2022-12-24_final.stac-item
2024-01-15 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2024-01-15_final.stac-item
2024-01-18 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2024-01-18_final.stac-item
2024-01-25 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2024-01-25_final.stac-item
2024-01-28 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2024-01-28_final.stac-item
2024-02-04 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2024-02-04_final.stac-item
2024-02-07 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2024-02-07_final.stac-item
2024-02-14 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2024-02-14_final.stac-item
2024-02-17 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2024-02-17_final.stac-item
2024-02-24 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2024-02-24_final.stac-item
2024-02-27 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2024-02-27_final.stac-item
2024-03-05 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2024-03-05_final.stac-item
2024-03-08 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2024-03-08_final.stac-item
2024-03-15 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2024-03-15_final.stac-item

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