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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JPR_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPR_2016-01-20_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JPP_2016-02-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPR_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JPR_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JPR_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JPR_2016-05-29_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JPR_2016-07-28_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JPR_2016-08-30_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50JPR_2016-09-06_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50JPR_2016-09-26_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50JPR_2016-10-16_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50JPR_2016-10-26_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JPR_2016-12-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPR_2016-12-15_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JPR_2016-12-25_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JPR_2017-01-14_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50JPR_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50JPR_2017-02-03_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JPR_2017-02-13_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50JPR_2017-03-05_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50JPR_2017-03-25_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JPR_2017-03-25_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_50JPR_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JPR_2017-05-04_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_50JPR_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JPR_2017-05-24_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JPR_2017-06-13_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JPR_2017-07-03_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_50JPR_2017-07-23_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JPR_2017-07-23_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JPR_2017-09-01_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JPR_2017-09-21_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50JPR_2017-10-31_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPR_2017-12-10_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPR_2017-12-30_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50JPR_2018-01-19_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50JPR_2018-02-28_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50JPR_2018-03-10_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50JPR_2018-03-20_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50JPR_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JPR_2018-03-30_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JPR_2018-04-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50JPR_2018-04-19_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50JPR_2018-04-29_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50JPR_2018-05-09_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPR_2018-05-19_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JPR_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPR_2018-06-08_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPR_2018-06-18_final
2020-09-28 11:55:08	ga_s2am_ard_3-2-1_50JPR_2020-09-28_final
2020-10-08 11:55:08	ga_s2am_ard_3-2-1_50JPR_2020-10-08_final
2020-11-07 11:55:07	ga_s2am_ard_3-2-1_50JPR_2020-11-07_final
2020-11-17 11:55:05	ga_s2am_ard_3-2-1_50JPR_2020-11-17_final
2020-11-27 11:55:03	ga_s2am_ard_3-2-1_50JPR_2020-11-27_final
2020-12-07 11:55:00	ga_s2am_ard_3-2-1_50JPR_2020-12-07_final
2020-12-17 11:55:00	ga_s2am_ard_3-2-1_50JPR_2020-12-17_final
2021-01-06 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-01-06_final
2021-01-16 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-01-16_final
2021-02-05 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-02-05_final
2021-03-07 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-03-07_final
2021-03-17 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-03-17_final
2021-03-27 11:55:00	ga_s2am_ard_3-2-1_50JPR_2021-03-27_final
2021-04-06 11:54:59	ga_s2am_ard_3-2-1_50JPR_2021-04-06_final
2021-04-16 11:54:56	ga_s2am_ard_3-2-1_50JPR_2021-04-16_final
2021-04-26 11:54:59	ga_s2am_ard_3-2-1_50JPR_2021-04-26_final
2021-05-06 11:55:01	ga_s2am_ard_3-2-1_50JPR_2021-05-06_final
2021-05-16 11:55:02	ga_s2am_ard_3-2-1_50JPR_2021-05-16_final
2021-05-26 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-05-26_final
2021-06-05 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-06-05_final
2021-08-11 11:45:32	ga_s2am_ard_3-2-1_50JPP_2021-08-11_final
2021-11-19 11:45:31	ga_s2am_ard_3-2-1_50JPP_2021-11-19_final
2022-05-18 11:45:38	ga_s2am_ard_3-2-1_50JPP_2022-05-18_final
2023-01-06 11:55:01	ga_s2am_ard_3-2-1_50JPR_2023-01-06_final.stac-item
2023-01-26 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-01-26_final.stac-item
2023-02-15 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-02-15_final.stac-item
2023-02-25 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-02-25_final.stac-item
2023-03-14 11:45:04	ga_s2am_ard_3-2-1_50JPR_2023-03-14_final.stac-item
2023-03-17 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-03-17_final.stac-item
2023-04-03 11:45:06	ga_s2am_ard_3-2-1_50JPR_2023-04-03_final.stac-item
2023-04-06 11:55:02	ga_s2am_ard_3-2-1_50JPR_2023-04-06_final.stac-item
2023-05-06 11:55:03	ga_s2am_ard_3-2-1_50JPR_2023-05-06_final.stac-item
2023-05-26 11:55:06	ga_s2am_ard_3-2-1_50JPR_2023-05-26_final.stac-item
2023-06-25 11:55:05	ga_s2am_ard_3-2-1_50JPR_2023-06-25_final.stac-item
2023-07-05 11:55:07	ga_s2am_ard_3-2-1_50JPR_2023-07-05_final.stac-item
2023-07-15 11:55:07	ga_s2am_ard_3-2-1_50JPR_2023-07-15_final.stac-item
2023-07-25 11:55:07	ga_s2am_ard_3-2-1_50JPR_2023-07-25_final.stac-item
2023-08-24 11:55:08	ga_s2am_ard_3-2-1_50JPR_2023-08-24_final.stac-item
2023-09-23 11:55:04	ga_s2am_ard_3-2-1_50JPR_2023-09-23_final.stac-item
2023-11-02 11:55:01	ga_s2am_ard_3-2-1_50JPR_2023-11-02_final.stac-item
2023-11-22 11:54:59	ga_s2am_ard_3-2-1_50JPR_2023-11-22_final.stac-item
2023-12-02 11:54:54	ga_s2am_ard_3-2-1_50JPR_2023-12-02_final.stac-item
2024-01-21 11:54:55	ga_s2am_ard_3-2-1_50JPR_2024-01-21_final.stac-item
2024-01-31 11:54:58	ga_s2am_ard_3-2-1_50JPR_2024-01-31_final.stac-item
2024-02-10 11:54:59	ga_s2am_ard_3-2-1_50JPR_2024-02-10_final.stac-item
2024-03-11 11:55:03	ga_s2am_ard_3-2-1_50JPR_2024-03-11_final.stac-item
2024-03-21 11:55:03	ga_s2am_ard_3-2-1_50JPR_2024-03-21_final.stac-item
2024-04-10 11:55:03	ga_s2am_ard_3-2-1_50JPR_2024-04-10_final.stac-item
2024-04-30 11:55:05	ga_s2am_ard_3-2-1_50JPR_2024-04-30_final.stac-item
2024-05-10 11:55:05	ga_s2am_ard_3-2-1_50JPR_2024-05-10_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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