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
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KQG_2018-01-07_final.stac-item
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWB_2018-01-08_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KQF_2018-01-17_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGH_2018-01-20_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51HWB_2018-01-25_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HWB_2018-02-04_final.stac-item
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51HWB_2018-02-14_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KQE_2018-02-16_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KQF_2018-02-16_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KQG_2018-02-16_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KQE_2018-03-08_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KQF_2018-03-08_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KQG_2018-03-08_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGH_2018-03-11_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50KQF_2018-03-18_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KPD_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGH_2018-03-31_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KQG_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2018-04-07_final.stac-item
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HWB_2018-04-08_final.stac-item
2018-04-17 11:46:06	ga_s2bm_ard_3-2-1_50KPD_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGH_2018-04-20_final.stac-item
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HWB_2018-04-25_final.stac-item
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KQE_2018-04-27_final.stac-item
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KQF_2018-04-27_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWB_2018-04-28_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_49JGH_2018-05-10_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KQF_2018-05-17_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGH_2018-05-30_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQE_2018-06-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQF_2018-06-06_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGH_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGH_2018-06-19_final.stac-item
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KQE_2018-06-26_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGH_2018-06-29_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWB_2018-07-04_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQE_2018-07-06_final.stac-item
2018-07-16 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-07-16_final.stac-item
2018-07-16 11:46:03	ga_s2bm_ard_3-2-1_50KPD_2018-07-16_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KPD_2018-07-16_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51HWB_2018-07-17_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51HWB_2018-07-24_final.stac-item
2018-07-26 11:46:09	ga_s2bm_ard_3-2-1_50KPD_2018-07-26_final.stac-item
2018-07-27 11:27:02	ga_s2bm_ard_3-2-1_51HWB_2018-07-27_final.stac-item
2018-08-05 11:46:08	ga_s2bm_ard_3-2-1_50KPD_2018-08-05_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KPD_2018-08-05_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGH_2018-08-08_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51HWB_2018-08-13_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQE_2018-08-15_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KQG_2018-08-15_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGH_2018-08-28_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HWB_2018-09-02_final.stac-item
2018-09-04 11:46:03	ga_s2bm_ard_3-2-1_50KQF_2018-09-04_final.stac-item
2018-09-04 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-09-04_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGH_2018-09-07_final.stac-item
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQE_2018-09-14_final.stac-item
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQF_2018-09-14_final.stac-item
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-09-14_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KPD_2018-09-14_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KPD_2018-09-24_final.stac-item
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HWB_2018-09-25_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGH_2018-09-27_final.stac-item
2018-10-04 11:45:56	ga_s2bm_ard_3-2-1_50KQG_2018-10-04_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KPD_2018-10-04_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGH_2018-10-07_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51HWB_2018-10-12_final.stac-item
2018-10-14 11:45:58	ga_s2bm_ard_3-2-1_50KQE_2018-10-14_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KQE_2018-10-14_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KPD_2018-10-14_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51HWB_2018-10-22_final.stac-item
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KQG_2018-10-24_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51HWB_2018-10-25_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGH_2018-10-27_final.stac-item
2018-11-16 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2018-11-16_final.stac-item
2018-11-23 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2018-11-23_final.stac-item
2018-11-24 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2018-11-24_final.stac-item
2018-12-03 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2018-12-03_final.stac-item
2018-12-11 11:17:01	ga_s2bm_ard_3-2-1_51HWB_2018-12-11_final.stac-item
2018-12-13 11:52:05	ga_s2bm_ard_3-2-1_50KQG_2018-12-13_final.stac-item
2018-12-13 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2018-12-13_final.stac-item
2018-12-13 11:52:42	ga_s2bm_ard_3-2-1_50KQE_2018-12-13_final.stac-item
2018-12-16 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2018-12-16_final.stac-item
2018-12-23 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2018-12-23_final.stac-item
2018-12-23 11:52:44	ga_s2bm_ard_3-2-1_50KQE_2018-12-23_final.stac-item
2018-12-26 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2018-12-26_final.stac-item
2018-12-31 11:17:01	ga_s2bm_ard_3-2-1_51HWB_2018-12-31_final.stac-item
2019-02-21 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2019-02-21_final.stac-item
2019-10-19 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2019-10-19_final.stac-item
2023-09-11 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-11_final.stac-item
2023-09-12 11:34:52	ga_s2bm_ard_3-2-1_50JRS_2023-09-12_final.stac-item
2023-09-12 11:35:51	ga_s2bm_ard_3-2-1_51JTH_2023-09-12_final.stac-item
2023-09-12 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-09-12_final.stac-item
2023-09-12 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-12_final.stac-item
2023-09-12 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-09-12_final.stac-item
2023-09-12 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-09-12_final.stac-item
2023-09-12 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2023-09-12_final.stac-item
2023-09-12 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-09-12_final.stac-item
2023-09-12 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-09-12_final.stac-item
2023-09-12 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-12_final.stac-item
2023-09-12 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-09-12_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

Other products

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