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
2015-10-20 09:23:08	ga_s2am_ard_3-2-1_56JMM_2015-10-19_final.stac-item
2015-12-19 09:29:18	ga_s2am_ard_3-2-1_56JMM_2015-12-18_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JMM_2016-01-17_final.stac-item
2016-02-17 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-02-16_final.stac-item
2016-03-18 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-03-17_final.stac-item
2016-04-07 09:24:37	ga_s2am_ard_3-2-1_56JMM_2016-04-06_final.stac-item
2016-04-17 09:22:45	ga_s2am_ard_3-2-1_56JMM_2016-04-16_final.stac-item
2016-04-27 09:23:49	ga_s2am_ard_3-2-1_56JMM_2016-04-26_final.stac-item
2016-05-27 09:22:50	ga_s2am_ard_3-2-1_56JMM_2016-05-26_final.stac-item
2016-06-06 09:22:49	ga_s2am_ard_3-2-1_56JMM_2016-06-05_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56JMM_2016-06-15_final.stac-item
2016-06-26 09:22:46	ga_s2am_ard_3-2-1_56JMM_2016-06-25_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_56JMM_2016-07-05_final.stac-item
2016-07-16 09:22:48	ga_s2am_ard_3-2-1_56JMM_2016-07-15_final.stac-item
2016-07-26 09:23:14	ga_s2am_ard_3-2-1_56JMM_2016-07-25_final.stac-item
2016-08-05 09:22:48	ga_s2am_ard_3-2-1_56JMM_2016-08-04_final.stac-item
2016-08-15 09:25:09	ga_s2am_ard_3-2-1_56JMM_2016-08-14_final.stac-item
2016-08-25 09:23:22	ga_s2am_ard_3-2-1_56JMM_2016-08-24_final.stac-item
2016-09-04 09:22:44	ga_s2am_ard_3-2-1_56JMM_2016-09-03_final.stac-item
2016-09-14 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-09-13_final.stac-item
2016-09-24 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-09-23_final.stac-item
2016-10-04 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-10-03_final.stac-item
2016-10-24 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-10-23_final.stac-item
2016-11-03 09:22:42	ga_s2am_ard_3-2-1_56JMM_2016-11-02_final.stac-item
2016-11-13 09:22:43	ga_s2am_ard_3-2-1_56JMM_2016-11-12_final.stac-item
2016-11-23 09:22:43	ga_s2am_ard_3-2-1_56JMM_2016-11-22_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_56JMM_2016-12-02_final.stac-item
2016-12-13 09:23:12	ga_s2am_ard_3-2-1_56JMM_2016-12-12_final
2016-12-23 09:22:39	ga_s2am_ard_3-2-1_56JMM_2016-12-22_final
2017-01-02 09:23:08	ga_s2am_ard_3-2-1_56JMM_2017-01-01_final
2017-02-01 09:22:38	ga_s2am_ard_3-2-1_56JMM_2017-01-31_final
2017-02-11 09:24:02	ga_s2am_ard_3-2-1_56JMM_2017-02-10_final
2020-07-25 09:25:16	ga_s2am_ard_3-2-1_56JMM_2020-07-24_final
2020-08-14 09:25:16	ga_s2am_ard_3-2-1_56JMM_2020-08-13_final
2020-08-24 09:25:16	ga_s2am_ard_3-2-1_56JMM_2020-08-23_final
2020-09-13 09:25:15	ga_s2am_ard_3-2-1_56JMM_2020-09-12_final
2020-09-23 09:25:16	ga_s2am_ard_3-2-1_56JMM_2020-09-22_final
2020-10-03 09:25:16	ga_s2am_ard_3-2-1_56JMM_2020-10-02_final
2020-11-12 09:25:14	ga_s2am_ard_3-2-1_56JMM_2020-11-11_final
2020-11-22 09:25:13	ga_s2am_ard_3-2-1_56JMM_2020-11-21_final
2020-12-02 09:25:10	ga_s2am_ard_3-2-1_56JMM_2020-12-01_final
2020-12-22 09:25:09	ga_s2am_ard_3-2-1_56JMM_2020-12-21_final
2021-01-01 09:25:11	ga_s2am_ard_3-2-1_56JMM_2020-12-31_final
2021-01-11 09:25:11	ga_s2am_ard_3-2-1_56JMM_2021-01-10_final
2021-01-31 09:25:11	ga_s2am_ard_3-2-1_56JMM_2021-01-30_final
2021-02-10 09:25:09	ga_s2am_ard_3-2-1_56JMM_2021-02-09_final
2021-03-12 09:25:10	ga_s2am_ard_3-2-1_56JMM_2021-03-11_final
2021-03-22 09:25:09	ga_s2am_ard_3-2-1_56JMM_2021-03-21_final
2021-05-01 09:25:08	ga_s2am_ard_3-2-1_56JMM_2021-04-30_final
2021-05-11 09:25:10	ga_s2am_ard_3-2-1_56JMM_2021-05-10_final
2021-05-21 09:25:11	ga_s2am_ard_3-2-1_56JMM_2021-05-20_final
2021-05-31 09:25:11	ga_s2am_ard_3-2-1_56JMM_2021-05-30_final
2021-07-10 09:25:13	ga_s2am_ard_3-2-1_56JMM_2021-07-09_final
2021-07-20 09:25:14	ga_s2am_ard_3-2-1_56JMM_2021-07-19_final
2021-07-30 09:25:14	ga_s2am_ard_3-2-1_56JMM_2021-07-29_final
2021-08-19 09:25:13	ga_s2am_ard_3-2-1_56JMM_2021-08-18_final
2021-09-18 09:25:13	ga_s2am_ard_3-2-1_56JMM_2021-09-17_final
2021-09-28 09:25:15	ga_s2am_ard_3-2-1_56JMM_2021-09-27_final
2021-10-08 09:25:16	ga_s2am_ard_3-2-1_56JMM_2021-10-07_final
2021-10-18 09:25:16	ga_s2am_ard_3-2-1_56JMM_2021-10-17_final
2021-10-28 09:25:15	ga_s2am_ard_3-2-1_56JMM_2021-10-27_final
2021-11-07 09:25:14	ga_s2am_ard_3-2-1_56JMM_2021-11-06_final
2021-12-17 09:25:11	ga_s2am_ard_3-2-1_56JMM_2021-12-16_final
2021-12-27 09:25:12	ga_s2am_ard_3-2-1_56JMM_2021-12-26_final
2022-01-06 09:25:12	ga_s2am_ard_3-2-1_56JMM_2022-01-05_final
2022-01-16 09:25:11	ga_s2am_ard_3-2-1_56JMM_2022-01-15_final
2022-08-24 09:25:31	ga_s2am_ard_3-2-1_56JMM_2022-08-23_final.stac-item
2023-06-10 09:25:22	ga_s2am_ard_3-2-1_56JMM_2023-06-09_final.stac-item
2023-06-20 09:25:15	ga_s2am_ard_3-2-1_56JMM_2023-06-19_final.stac-item
2023-06-30 09:25:15	ga_s2am_ard_3-2-1_56JMM_2023-06-29_final.stac-item
2023-07-10 09:25:16	ga_s2am_ard_3-2-1_56JMM_2023-07-09_final.stac-item
2023-07-20 09:25:15	ga_s2am_ard_3-2-1_56JMM_2023-07-19_final.stac-item
2023-07-30 09:25:16	ga_s2am_ard_3-2-1_56JMM_2023-07-29_final.stac-item
2023-08-09 09:25:15	ga_s2am_ard_3-2-1_56JMM_2023-08-08_final.stac-item
2023-08-19 09:25:17	ga_s2am_ard_3-2-1_56JMM_2023-08-18_final.stac-item
2023-08-29 09:25:16	ga_s2am_ard_3-2-1_56JMM_2023-08-28_final.stac-item
2023-09-08 09:25:16	ga_s2am_ard_3-2-1_56JMM_2023-09-07_final.stac-item
2023-09-18 09:25:14	ga_s2am_ard_3-2-1_56JMM_2023-09-17_final.stac-item
2023-09-28 09:25:13	ga_s2am_ard_3-2-1_56JMM_2023-09-27_final.stac-item
2023-10-08 09:25:11	ga_s2am_ard_3-2-1_56JMM_2023-10-07_final.stac-item
2023-10-18 09:25:10	ga_s2am_ard_3-2-1_56JMM_2023-10-17_final.stac-item
2023-10-28 09:25:10	ga_s2am_ard_3-2-1_56JMM_2023-10-27_final.stac-item
2023-11-17 09:25:09	ga_s2am_ard_3-2-1_56JMM_2023-11-16_final.stac-item
2023-11-27 09:25:04	ga_s2am_ard_3-2-1_56JMM_2023-11-26_final.stac-item
2023-12-07 09:25:04	ga_s2am_ard_3-2-1_56JMM_2023-12-06_final.stac-item
2023-12-17 09:25:07	ga_s2am_ard_3-2-1_56JMM_2023-12-16_final.stac-item
2023-12-27 09:25:08	ga_s2am_ard_3-2-1_56JMM_2023-12-26_final.stac-item
2024-01-06 09:25:07	ga_s2am_ard_3-2-1_56JMM_2024-01-05_final.stac-item
2024-01-16 09:25:03	ga_s2am_ard_3-2-1_56JMM_2024-01-15_final.stac-item
2024-01-26 09:25:05	ga_s2am_ard_3-2-1_56JMM_2024-01-25_final.stac-item
2024-02-05 09:25:06	ga_s2am_ard_3-2-1_56JMM_2024-02-04_final.stac-item
2024-02-15 09:25:08	ga_s2am_ard_3-2-1_56JMM_2024-02-14_final.stac-item
2024-02-25 09:25:09	ga_s2am_ard_3-2-1_56JMM_2024-02-24_final.stac-item
2024-03-06 09:25:11	ga_s2am_ard_3-2-1_56JMM_2024-03-05_final.stac-item
2024-03-16 09:25:11	ga_s2am_ard_3-2-1_56JMM_2024-03-15_final.stac-item
2024-03-26 09:25:11	ga_s2am_ard_3-2-1_56JMM_2024-03-25_final.stac-item
2024-04-05 09:25:08	ga_s2am_ard_3-2-1_56JMM_2024-04-04_final.stac-item
2024-04-15 09:25:13	ga_s2am_ard_3-2-1_56JMM_2024-04-14_final.stac-item
2024-04-25 09:25:13	ga_s2am_ard_3-2-1_56JMM_2024-04-24_final.stac-item
2024-05-05 09:25:13	ga_s2am_ard_3-2-1_56JMM_2024-05-04_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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