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
2015-12-22 11:11:09	ga_s2am_ard_3-2-1_52LFK_2015-12-22_final.stac-item
2018-08-18 11:07:12	ga_s2am_ard_3-2-1_52LFH_2018-08-18_final
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_52LFH_2018-08-28_final
2018-09-07 11:07:10	ga_s2am_ard_3-2-1_52LFH_2018-09-07_final
2018-09-17 11:07:08	ga_s2am_ard_3-2-1_52LFH_2018-09-17_final
2018-09-27 11:07:08	ga_s2am_ard_3-2-1_52LFH_2018-09-27_final
2018-10-07 11:07:09	ga_s2am_ard_3-2-1_52LFH_2018-10-07_final
2018-10-17 11:07:09	ga_s2am_ard_3-2-1_52LFH_2018-10-17_final
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52LFH_2018-10-27_final
2018-11-06 11:11:40	ga_s2am_ard_3-2-1_52LFH_2018-11-06_final
2018-11-16 11:11:39	ga_s2am_ard_3-2-1_52LFH_2018-11-16_final
2018-11-26 11:11:37	ga_s2am_ard_3-2-1_52LFH_2018-11-26_final
2018-12-06 11:11:36	ga_s2am_ard_3-2-1_52LFH_2018-12-06_final
2018-12-16 11:11:36	ga_s2am_ard_3-2-1_52LFH_2018-12-16_final
2018-12-26 11:11:37	ga_s2am_ard_3-2-1_52LFH_2018-12-26_final
2019-01-05 11:11:39	ga_s2am_ard_3-2-1_52LFH_2019-01-05_final
2019-01-15 11:11:41	ga_s2am_ard_3-2-1_52LFH_2019-01-15_final
2019-01-25 11:11:41	ga_s2am_ard_3-2-1_52LFH_2019-01-25_final
2019-02-04 11:11:42	ga_s2am_ard_3-2-1_52LFH_2019-02-04_final
2019-02-14 11:11:41	ga_s2am_ard_3-2-1_52LFH_2019-02-14_final
2019-02-24 11:11:40	ga_s2am_ard_3-2-1_52LFH_2019-02-24_final
2019-03-06 11:11:39	ga_s2am_ard_3-2-1_52LFH_2019-03-06_final
2019-03-16 11:11:41	ga_s2am_ard_3-2-1_52LFH_2019-03-16_final
2019-03-26 11:11:44	ga_s2am_ard_3-2-1_52LFH_2019-03-26_final
2019-04-05 11:11:45	ga_s2am_ard_3-2-1_52LFH_2019-04-05_final
2019-04-15 11:11:47	ga_s2am_ard_3-2-1_52LFH_2019-04-15_final
2019-05-25 11:11:48	ga_s2am_ard_3-2-1_52LFH_2019-05-25_final
2019-08-13 11:11:48	ga_s2am_ard_3-2-1_52LFH_2019-08-13_final
2019-09-02 11:11:45	ga_s2am_ard_3-2-1_52LFH_2019-09-02_final
2019-09-12 11:11:43	ga_s2am_ard_3-2-1_52LFH_2019-09-12_final
2019-10-22 11:11:48	ga_s2am_ard_3-2-1_52LFH_2019-10-22_final
2019-11-11 11:11:47	ga_s2am_ard_3-2-1_52LFH_2019-11-11_final
2019-12-11 11:11:41	ga_s2am_ard_3-2-1_52LFH_2019-12-11_final
2022-07-28 11:11:24	ga_s2am_ard_3-2-1_52LEK_2022-07-28_final.stac-item
2022-08-27 11:11:27	ga_s2am_ard_3-2-1_52LEK_2022-08-27_final.stac-item
2022-12-29 10:56:24	ga_s2am_ard_3-2-1_52HEJ_2022-12-29_nrt.stac-item
2023-01-08 10:56:24	ga_s2am_ard_3-2-1_52HEJ_2023-01-08_nrt.stac-item
2023-01-18 10:56:20	ga_s2am_ard_3-2-1_52HEJ_2023-01-18_nrt.stac-item
2023-01-28 10:56:23	ga_s2am_ard_3-2-1_52HEJ_2023-01-28_nrt.stac-item
2023-02-27 10:56:23	ga_s2am_ard_3-2-1_52HEJ_2023-02-27_nrt.stac-item
2023-03-09 10:56:20	ga_s2am_ard_3-2-1_52HEJ_2023-03-09_nrt.stac-item
2023-03-19 10:56:23	ga_s2am_ard_3-2-1_52HEJ_2023-03-19_nrt.stac-item
2023-04-08 10:56:25	ga_s2am_ard_3-2-1_52HEJ_2023-04-08_nrt.stac-item
2023-04-18 10:56:25	ga_s2am_ard_3-2-1_52HEJ_2023-04-18_nrt.stac-item
2023-04-28 10:56:26	ga_s2am_ard_3-2-1_52HEJ_2023-04-28_nrt.stac-item
2023-05-04 11:11:45	ga_s2am_ard_3-2-1_52LFH_2023-05-04_final.stac-item
2023-05-14 11:11:45	ga_s2am_ard_3-2-1_52LFH_2023-05-14_final.stac-item
2023-05-24 11:11:48	ga_s2am_ard_3-2-1_52LFH_2023-05-24_final.stac-item
2023-06-03 11:11:48	ga_s2am_ard_3-2-1_52LFH_2023-06-03_final.stac-item
2023-06-07 10:56:28	ga_s2am_ard_3-2-1_52HEJ_2023-06-07_nrt.stac-item
2023-06-13 11:11:49	ga_s2am_ard_3-2-1_52LFH_2023-06-13_final.stac-item
2023-06-17 10:55:38	ga_s2am_ard_3-2-1_52JEN_2023-06-17_final.stac-item
2023-06-23 11:11:48	ga_s2am_ard_3-2-1_52LFH_2023-06-23_final.stac-item
2023-07-03 11:11:49	ga_s2am_ard_3-2-1_52LFH_2023-07-03_final.stac-item
2023-07-13 11:11:50	ga_s2am_ard_3-2-1_52LFH_2023-07-13_final.stac-item
2023-07-23 11:11:49	ga_s2am_ard_3-2-1_52LFH_2023-07-23_final.stac-item
2023-07-27 10:56:31	ga_s2am_ard_3-2-1_52HEJ_2023-07-27_nrt.stac-item
2023-08-02 11:11:50	ga_s2am_ard_3-2-1_52LFH_2023-08-02_final.stac-item
2023-08-06 10:56:29	ga_s2am_ard_3-2-1_52HEJ_2023-08-06_nrt.stac-item
2023-08-12 11:11:49	ga_s2am_ard_3-2-1_52LFH_2023-08-12_final.stac-item
2023-08-22 11:11:51	ga_s2am_ard_3-2-1_52LFH_2023-08-22_final.stac-item
2023-09-01 11:11:50	ga_s2am_ard_3-2-1_52LFH_2023-09-01_final.stac-item
2023-09-11 11:11:50	ga_s2am_ard_3-2-1_52LFH_2023-09-11_final.stac-item
2023-09-15 10:56:30	ga_s2am_ard_3-2-1_52HEJ_2023-09-15_nrt.stac-item
2023-09-21 11:11:46	ga_s2am_ard_3-2-1_52LFH_2023-09-21_final.stac-item
2023-09-25 10:56:26	ga_s2am_ard_3-2-1_52HEJ_2023-09-25_nrt.stac-item
2023-09-25 10:56:28	ga_s2am_ard_3-2-1_52HEJ_2023-09-25_nrt.stac-item
2023-10-01 11:11:47	ga_s2am_ard_3-2-1_52LFH_2023-10-01_final.stac-item
2023-10-05 10:56:27	ga_s2am_ard_3-2-1_52HEJ_2023-10-05_nrt.stac-item
2023-10-11 11:11:43	ga_s2am_ard_3-2-1_52LFH_2023-10-11_final.stac-item
2023-10-15 10:56:23	ga_s2am_ard_3-2-1_52HEJ_2023-10-15_nrt.stac-item
2023-10-21 11:11:45	ga_s2am_ard_3-2-1_52LFH_2023-10-21_final.stac-item
2023-10-25 10:56:26	ga_s2am_ard_3-2-1_52HEJ_2023-10-25_nrt.stac-item
2023-10-31 11:11:44	ga_s2am_ard_3-2-1_52LFH_2023-10-31_final.stac-item
2023-11-10 11:11:44	ga_s2am_ard_3-2-1_52LFH_2023-11-10_final.stac-item
2023-11-20 11:11:42	ga_s2am_ard_3-2-1_52LFH_2023-11-20_final.stac-item
2023-11-30 11:11:06	ga_s2am_ard_3-2-1_52LEK_2023-11-30_final.stac-item
2023-11-30 11:11:36	ga_s2am_ard_3-2-1_52LFH_2023-11-30_final.stac-item
2023-12-04 10:56:17	ga_s2am_ard_3-2-1_52HEJ_2023-12-04_nrt.stac-item
2023-12-10 11:11:39	ga_s2am_ard_3-2-1_52LFH_2023-12-10_final.stac-item
2023-12-20 11:11:41	ga_s2am_ard_3-2-1_52LFH_2023-12-20_final.stac-item
2023-12-30 11:11:42	ga_s2am_ard_3-2-1_52LFH_2023-12-30_final.stac-item
2024-01-09 11:11:40	ga_s2am_ard_3-2-1_52LFH_2024-01-09_final.stac-item
2024-01-19 11:11:36	ga_s2am_ard_3-2-1_52LFH_2024-01-19_final.stac-item
2024-01-23 10:56:19	ga_s2am_ard_3-2-1_52HEJ_2024-01-23_nrt.stac-item
2024-01-29 11:11:40	ga_s2am_ard_3-2-1_52LFH_2024-01-29_final.stac-item
2024-02-08 11:11:40	ga_s2am_ard_3-2-1_52LFH_2024-02-08_final.stac-item
2024-02-12 10:56:21	ga_s2am_ard_3-2-1_52HEJ_2024-02-12_nrt.stac-item
2024-02-18 11:11:43	ga_s2am_ard_3-2-1_52LFH_2024-02-18_final.stac-item
2024-02-28 11:11:44	ga_s2am_ard_3-2-1_52LFH_2024-02-28_final.stac-item
2024-03-09 11:11:45	ga_s2am_ard_3-2-1_52LFH_2024-03-09_final.stac-item
2024-03-19 11:11:45	ga_s2am_ard_3-2-1_52LFH_2024-03-19_final.stac-item
2024-03-29 11:11:45	ga_s2am_ard_3-2-1_52LFH_2024-03-29_final.stac-item
2024-04-08 11:11:13	ga_s2am_ard_3-2-1_52LFK_2024-04-08_final.stac-item
2024-04-08 11:11:44	ga_s2am_ard_3-2-1_52LFH_2024-04-08_final.stac-item
2024-04-18 11:11:48	ga_s2am_ard_3-2-1_52LFH_2024-04-18_final.stac-item
2024-04-22 10:56:29	ga_s2am_ard_3-2-1_52HEJ_2024-04-22_nrt.stac-item
2024-04-28 11:11:47	ga_s2am_ard_3-2-1_52LFH_2024-04-28_final.stac-item
2024-05-08 11:11:13	ga_s2am_ard_3-2-1_52LFK_2024-05-08_final.stac-item
2024-05-08 11:11:47	ga_s2am_ard_3-2-1_52LFH_2024-05-08_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

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