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
2015-10-04 10:45:32	ga_s2am_ard_3-2-1_53HLE_2015-10-04_final.stac-item
2015-10-04 10:45:32	ga_s2am_ard_3-2-1_53HME_2015-10-04_final.stac-item
2015-11-13 10:42:13	ga_s2am_ard_3-2-1_53JMJ_2015-11-13_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_53KLV_2015-11-26_final.stac-item
2015-12-03 10:41:05	ga_s2am_ard_3-2-1_53JMJ_2015-12-03_final.stac-item
2015-12-26 10:54:12	ga_s2am_ard_3-2-1_53KLV_2015-12-26_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53JMJ_2016-02-01_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JMJ_2016-03-02_final.stac-item
2016-03-25 10:52:14	ga_s2am_ard_3-2-1_53KLV_2016-03-25_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53JMJ_2016-04-01_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53JMJ_2016-05-01_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53JMJ_2016-05-11_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53JMJ_2016-05-31_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53JMJ_2016-06-20_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JMJ_2016-07-10_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_53KLV_2016-07-13_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JMJ_2016-07-30_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53JMJ_2016-08-19_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53JMJ_2016-09-08_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53JMJ_2016-09-28_final.stac-item
2016-10-18 10:39:46	ga_s2am_ard_3-2-1_53JMJ_2016-10-18_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53JMJ_2016-10-28_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53JMJ_2016-11-07_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_53JMJ_2016-11-17_final.stac-item
2016-12-07 10:43:25	ga_s2am_ard_3-2-1_53JMJ_2016-12-07_final
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_53JMJ_2016-12-17_final
2016-12-27 10:43:36	ga_s2am_ard_3-2-1_53JMJ_2016-12-27_final
2017-01-16 10:43:08	ga_s2am_ard_3-2-1_53JMJ_2017-01-16_final
2017-01-26 10:42:01	ga_s2am_ard_3-2-1_53JMJ_2017-01-26_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_53JMJ_2017-02-05_final
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_53JMJ_2017-02-15_final
2017-03-07 10:42:59	ga_s2am_ard_3-2-1_53JMJ_2017-03-07_final
2017-03-27 10:43:01	ga_s2am_ard_3-2-1_53JMJ_2017-03-27_final.stac-item
2017-04-16 10:43:06	ga_s2am_ard_3-2-1_53JMJ_2017-04-16_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53JMJ_2017-05-06_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JMJ_2017-05-26_final
2017-06-15 10:42:56	ga_s2am_ard_3-2-1_53JMJ_2017-06-15_final
2017-07-05 10:43:05	ga_s2am_ard_3-2-1_53JMJ_2017-07-05_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53JMJ_2017-07-25_final
2017-08-14 10:43:08	ga_s2am_ard_3-2-1_53JMJ_2017-08-14_final
2017-09-03 10:43:06	ga_s2am_ard_3-2-1_53JMJ_2017-09-03_final
2022-08-21 10:52:39	ga_s2am_ard_3-2-1_53KLV_2022-08-21_final
2022-08-28 10:45:20	ga_s2am_ard_3-2-1_53JMJ_2022-08-28_final.stac-item
2022-08-31 10:52:39	ga_s2am_ard_3-2-1_53KLV_2022-08-31_final
2022-10-10 10:52:33	ga_s2am_ard_3-2-1_53KLV_2022-10-10_final.stac-item
2022-10-20 10:52:28	ga_s2am_ard_3-2-1_53KLV_2022-10-20_final.stac-item
2022-10-30 10:52:30	ga_s2am_ard_3-2-1_53KLV_2022-10-30_final.stac-item
2022-11-09 10:52:30	ga_s2am_ard_3-2-1_53KLV_2022-11-09_final.stac-item
2023-01-15 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2023-01-15_final.stac-item
2023-01-15 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2023-01-15_final.stac-item
2023-01-25 10:45:05	ga_s2am_ard_3-2-1_53JMJ_2023-01-25_final.stac-item
2023-02-04 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2023-02-04_final.stac-item
2023-02-07 10:52:29	ga_s2am_ard_3-2-1_53KLV_2023-02-07_final.stac-item
2023-02-14 10:45:05	ga_s2am_ard_3-2-1_53JMJ_2023-02-14_final.stac-item
2023-02-24 10:45:05	ga_s2am_ard_3-2-1_53JMJ_2023-02-24_final.stac-item
2023-03-06 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2023-03-06_final.stac-item
2023-03-16 10:45:05	ga_s2am_ard_3-2-1_53JMJ_2023-03-16_final.stac-item
2023-03-26 10:45:06	ga_s2am_ard_3-2-1_53JMJ_2023-03-26_final.stac-item
2023-04-05 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2023-04-05_final.stac-item
2023-04-15 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2023-04-15_final.stac-item
2023-04-25 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2023-04-25_final.stac-item
2023-05-05 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2023-05-05_final.stac-item
2023-05-15 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2023-05-15_final.stac-item
2023-05-25 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2023-05-25_final.stac-item
2023-06-04 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2023-06-04_final.stac-item
2023-06-14 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2023-06-14_final.stac-item
2023-06-24 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2023-06-24_final.stac-item
2023-07-04 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-07-04_final.stac-item
2023-07-14 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-07-14_final.stac-item
2023-07-24 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2023-07-24_final.stac-item
2023-08-03 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-08-03_final.stac-item
2023-08-13 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-08-13_final.stac-item
2023-08-23 10:45:14	ga_s2am_ard_3-2-1_53JMJ_2023-08-23_final.stac-item
2023-09-02 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-09-02_final.stac-item
2023-09-12 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2023-09-12_final.stac-item
2023-09-22 10:45:09	ga_s2am_ard_3-2-1_53JMJ_2023-09-22_final.stac-item
2023-10-02 10:45:03	ga_s2am_ard_3-2-1_53JMJ_2023-10-02_final.stac-item
2023-10-02 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2023-10-02_final.stac-item
2023-10-12 10:45:06	ga_s2am_ard_3-2-1_53JMJ_2023-10-12_final.stac-item
2023-10-22 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2023-10-22_final.stac-item
2023-11-01 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2023-11-01_final.stac-item
2023-11-11 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2023-11-11_final.stac-item
2023-11-21 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2023-11-21_final.stac-item
2023-12-01 10:44:59	ga_s2am_ard_3-2-1_53JMJ_2023-12-01_final.stac-item
2023-12-11 10:45:03	ga_s2am_ard_3-2-1_53JMJ_2023-12-11_final.stac-item
2023-12-21 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2023-12-21_final.stac-item
2023-12-31 10:45:05	ga_s2am_ard_3-2-1_53JMJ_2023-12-31_final.stac-item
2024-01-10 10:45:03	ga_s2am_ard_3-2-1_53JMJ_2024-01-10_final.stac-item
2024-01-20 10:44:59	ga_s2am_ard_3-2-1_53JMJ_2024-01-20_final.stac-item
2024-01-30 10:45:03	ga_s2am_ard_3-2-1_53JMJ_2024-01-30_final.stac-item
2024-02-09 10:45:04	ga_s2am_ard_3-2-1_53JMJ_2024-02-09_final.stac-item
2024-02-19 10:45:06	ga_s2am_ard_3-2-1_53JMJ_2024-02-19_final.stac-item
2024-02-29 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2024-02-29_final.stac-item
2024-03-10 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2024-03-10_final.stac-item
2024-03-20 10:45:09	ga_s2am_ard_3-2-1_53JMJ_2024-03-20_final.stac-item
2024-03-30 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2024-03-30_final.stac-item
2024-04-09 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2024-04-09_final.stac-item
2024-04-19 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2024-04-19_final.stac-item
2024-04-29 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2024-04-29_final.stac-item
2024-05-09 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2024-05-09_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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