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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HLG_2017-07-18_final.stac-item
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLG_2017-07-31_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HLG_2017-08-07_final.stac-item
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HLG_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HLG_2017-08-27_final.stac-item
2017-08-27 11:47:17	ga_s2bm_ard_3-2-1_50HLG_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLG_2017-09-09_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final.stac-item
2017-09-16 11:47:11	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLG_2017-09-29_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLG_2017-10-06_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HLG_2017-11-25_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLG_2017-11-28_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HLG_2017-12-05_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLG_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLG_2017-12-15_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLG_2017-12-18_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLG_2017-12-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLG_2017-12-28_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLG_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-01-17_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLG_2018-01-24_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLG_2018-03-05_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLG_2018-03-08_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HLG_2018-03-15_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLG_2018-03-18_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HLG_2018-03-25_final.stac-item
2018-03-25 11:47:09	ga_s2bm_ard_3-2-1_50HLG_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLG_2018-03-28_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HLG_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2018-04-07_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HLG_2018-04-14_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLG_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HLG_2018-04-24_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLG_2018-04-27_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HLG_2018-06-13_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLG_2018-06-16_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLG_2018-06-23_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HLG_2018-06-26_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-03_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HLG_2018-07-06_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HLG_2018-07-13_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLG_2018-07-16_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-23_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-26_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HLG_2018-08-02_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HLG_2018-08-05_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HLG_2018-08-12_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLG_2018-09-24_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HLG_2018-10-01_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLG_2018-10-04_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLG_2018-10-11_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLG_2018-10-14_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HLG_2018-10-21_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLG_2018-10-24_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HLG_2018-10-31_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HLG_2018-11-03_final.stac-item
2018-11-10 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2018-11-10_final.stac-item
2018-11-20 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2018-11-20_final.stac-item
2018-11-23 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2018-11-23_final.stac-item
2019-01-19 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-01-19_final.stac-item
2019-01-22 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-01-22_final.stac-item
2019-03-23 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-03-23_final.stac-item
2019-04-09 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2019-04-09_final.stac-item
2019-05-02 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-05-02_final.stac-item
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-05-12 11:57:32	ga_s2bm_ard_3-2-1_50HLG_2019-05-12_final.stac-item
2019-05-19 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-19_final.stac-item
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-07-01 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-01_final.stac-item
2019-07-18 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-07-18_final.stac-item
2019-09-29 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-29_final.stac-item
2019-11-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-11-08_final.stac-item
2019-11-15 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-11-15_final.stac-item
2019-11-28 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2019-11-28_final.stac-item
2019-12-05 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2019-12-05_final.stac-item
2020-01-14 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-01-14_final.stac-item
2020-01-27 11:57:16	ga_s2bm_ard_3-2-1_50HLG_2020-01-27_final.stac-item
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
2020-05-16 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2020-05-16_final.stac-item
2020-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-05-23_final.stac-item
2020-06-02 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-06-02_final.stac-item
2020-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-08-31_final.stac-item
2020-09-03 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2020-09-03_final.stac-item
2020-09-13 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-09-13_final.stac-item
2020-09-20 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-09-20_final.stac-item
2020-09-23 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-09-23_final.stac-item
2020-11-12 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2020-11-12_final.stac-item
2020-11-19 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-11-19_final.stac-item
2020-11-29 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2020-11-29_final.stac-item
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final.stac-item
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-08-12_final.stac-item
2023-08-12 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-08-12_final.stac-item
2023-08-12 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-08-12_final.stac-item
2023-08-12 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-08-12 12:04:56	ga_s2bm_ard_3-2-1_49JGN_2023-08-12_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_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

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