Search ga_s2am_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
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50KRB_2018-04-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50KRB_2018-04-19_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KRB_2018-04-29_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_50KRB_2018-05-09_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRB_2018-05-19_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KRB_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRB_2018-06-08_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_50KRB_2018-06-18_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRB_2018-06-28_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50KRB_2018-07-08_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50KRB_2018-07-18_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_50KRB_2018-07-28_final
2022-01-07 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-01-07_final.stac-item
2022-01-27 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-01-27_final.stac-item
2022-02-06 12:13:39	ga_s2am_ard_3-2-1_49KHS_2022-02-06_final.stac-item
2022-02-16 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-02-16_final.stac-item
2022-02-26 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-02-26_final.stac-item
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-03-08_final.stac-item
2022-04-27 12:13:45	ga_s2am_ard_3-2-1_49KHS_2022-04-27_final.stac-item
2022-07-16 10:33:15	ga_s2am_ard_3-2-1_53KRS_2022-07-16_final
2022-07-16 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-07-16_final.stac-item
2022-07-26 10:33:12	ga_s2am_ard_3-2-1_53KRS_2022-07-26_final
2022-08-05 10:33:13	ga_s2am_ard_3-2-1_53KRS_2022-08-05_final
2022-08-15 10:33:15	ga_s2am_ard_3-2-1_53KRS_2022-08-15_final
2022-08-15 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-08-15_final.stac-item
2022-08-26 11:43:46	ga_s2am_ard_3-2-1_50KRB_2022-08-26_final.stac-item
2022-09-04 10:33:14	ga_s2am_ard_3-2-1_53KRS_2022-09-04_final.stac-item
2022-09-14 10:33:12	ga_s2am_ard_3-2-1_53KRS_2022-09-14_final.stac-item
2022-09-24 10:33:09	ga_s2am_ard_3-2-1_53KRS_2022-09-24_final.stac-item
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final.stac-item
2022-10-04 10:33:09	ga_s2am_ard_3-2-1_53KRS_2022-10-04_final.stac-item
2022-10-14 10:33:07	ga_s2am_ard_3-2-1_53KRS_2022-10-14_final.stac-item
2022-10-14 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-10-14_final.stac-item
2022-10-24 10:33:05	ga_s2am_ard_3-2-1_53KRS_2022-10-24_final.stac-item
2022-11-03 10:33:06	ga_s2am_ard_3-2-1_53KRS_2022-11-03_final.stac-item
2022-11-03 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-11-03_final.stac-item
2022-11-13 10:33:05	ga_s2am_ard_3-2-1_53KRS_2022-11-13_final.stac-item
2022-11-23 10:32:57	ga_s2am_ard_3-2-1_54KTB_2022-11-23_final.stac-item
2022-11-23 10:32:57	ga_s2am_ard_3-2-1_53KRS_2022-11-23_final.stac-item
2022-11-23 10:32:59	ga_s2am_ard_3-2-1_53KQT_2022-11-23_final.stac-item
2022-11-23 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-11-23_final.stac-item
2022-12-03 10:33:03	ga_s2am_ard_3-2-1_53KRS_2022-12-03_final.stac-item
2022-12-13 10:33:02	ga_s2am_ard_3-2-1_53KRS_2022-12-13_final.stac-item
2022-12-23 10:33:00	ga_s2am_ard_3-2-1_53KRS_2022-12-23_final.stac-item
2022-12-23 12:13:37	ga_s2am_ard_3-2-1_49KHS_2022-12-23_final.stac-item
2023-01-02 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-01-02_final.stac-item
2023-01-12 10:33:00	ga_s2am_ard_3-2-1_53KRS_2023-01-12_final.stac-item
2023-01-22 10:32:51	ga_s2am_ard_3-2-1_53KRS_2023-01-22_final.stac-item
2023-01-22 10:32:52	ga_s2am_ard_3-2-1_54KTB_2023-01-22_final.stac-item
2023-01-22 10:32:58	ga_s2am_ard_3-2-1_53KRS_2023-01-22_final.stac-item
2023-02-01 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-02-01_final.stac-item
2023-02-02 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-02-02_final.stac-item
2023-02-11 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-02-11_final.stac-item
2023-02-21 10:33:00	ga_s2am_ard_3-2-1_53KRS_2023-02-21_final.stac-item
2023-03-03 10:32:59	ga_s2am_ard_3-2-1_53KRS_2023-03-03_final.stac-item
2023-03-13 10:32:59	ga_s2am_ard_3-2-1_53KRS_2023-03-13_final.stac-item
2023-03-23 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-03-23_final.stac-item
2023-04-02 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-04-02_final.stac-item
2023-04-12 10:33:02	ga_s2am_ard_3-2-1_53KRS_2023-04-12_final.stac-item
2023-04-22 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-04-22_final.stac-item
2023-05-02 10:33:03	ga_s2am_ard_3-2-1_53KRS_2023-05-02_final.stac-item
2023-05-12 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-05-12_final.stac-item
2023-05-22 10:33:05	ga_s2am_ard_3-2-1_53KRS_2023-05-22_final.stac-item
2023-06-01 10:33:06	ga_s2am_ard_3-2-1_53KRS_2023-06-01_final.stac-item
2023-06-11 10:33:06	ga_s2am_ard_3-2-1_53KRS_2023-06-11_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-31_final.stac-item
2023-08-01 11:43:38	ga_s2am_ard_3-2-1_50KRB_2023-08-01_final.stac-item
2023-08-11 11:43:38	ga_s2am_ard_3-2-1_50KRB_2023-08-11_final.stac-item
2023-08-21 11:43:39	ga_s2am_ard_3-2-1_50KRB_2023-08-21_final.stac-item
2023-08-31 11:43:38	ga_s2am_ard_3-2-1_50KRB_2023-08-31_final.stac-item
2023-09-10 11:43:38	ga_s2am_ard_3-2-1_50KRB_2023-09-10_final.stac-item
2023-09-20 11:43:35	ga_s2am_ard_3-2-1_50KRB_2023-09-20_final.stac-item
2023-09-30 11:43:35	ga_s2am_ard_3-2-1_50KRB_2023-09-30_final.stac-item
2023-10-10 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-10-10_final.stac-item
2023-10-20 11:43:33	ga_s2am_ard_3-2-1_50KRB_2023-10-20_final.stac-item
2023-10-30 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-10-30_final.stac-item
2023-11-09 11:43:32	ga_s2am_ard_3-2-1_50KRB_2023-11-09_final.stac-item
2023-11-19 11:43:30	ga_s2am_ard_3-2-1_50KRB_2023-11-19_final.stac-item
2023-11-29 11:43:25	ga_s2am_ard_3-2-1_50KRB_2023-11-29_final.stac-item
2023-12-09 11:43:27	ga_s2am_ard_3-2-1_50KRB_2023-12-09_final.stac-item
2023-12-19 11:43:26	ga_s2am_ard_3-2-1_51KTS_2023-12-19_final.stac-item
2023-12-19 11:43:26	ga_s2am_ard_3-2-1_50KRB_2023-12-19_final.stac-item
2023-12-19 11:43:27	ga_s2am_ard_3-2-1_50KQB_2023-12-19_final.stac-item
2023-12-29 11:43:26	ga_s2am_ard_3-2-1_51KTS_2023-12-29_final.stac-item
2023-12-29 11:43:26	ga_s2am_ard_3-2-1_50KRB_2023-12-29_final.stac-item
2023-12-29 11:43:28	ga_s2am_ard_3-2-1_50KQB_2023-12-29_final.stac-item
2024-01-08 11:43:29	ga_s2am_ard_3-2-1_50KRB_2024-01-08_final.stac-item
2024-01-18 11:43:24	ga_s2am_ard_3-2-1_50KRB_2024-01-18_final.stac-item
2024-01-28 11:43:28	ga_s2am_ard_3-2-1_50KRB_2024-01-28_final.stac-item
2024-02-07 11:43:29	ga_s2am_ard_3-2-1_50KRB_2024-02-07_final.stac-item
2024-02-17 11:43:31	ga_s2am_ard_3-2-1_50KRB_2024-02-17_final.stac-item
2024-02-27 11:43:32	ga_s2am_ard_3-2-1_50KRB_2024-02-27_final.stac-item
2024-03-08 11:43:33	ga_s2am_ard_3-2-1_50KRB_2024-03-08_final.stac-item
2024-03-18 11:43:33	ga_s2am_ard_3-2-1_50KRB_2024-03-18_final.stac-item
2024-03-28 11:43:33	ga_s2am_ard_3-2-1_50KRB_2024-03-28_final.stac-item
2024-04-07 11:43:31	ga_s2am_ard_3-2-1_50KRB_2024-04-07_final.stac-item
2024-04-17 11:43:36	ga_s2am_ard_3-2-1_50KRB_2024-04-17_final.stac-item
2024-04-27 11:43:35	ga_s2am_ard_3-2-1_50KRB_2024-04-27_final.stac-item
2024-05-07 11:43:35	ga_s2am_ard_3-2-1_50KRB_2024-05-07_final.stac-item
2024-05-17 11:43:35	ga_s2am_ard_3-2-1_50KRB_2024-05-17_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A 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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