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
2020-10-02 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-02_final
2020-10-05 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-10-05_final
2020-10-12 11:37:00	ga_s2am_ard_3-2-1_50HQH_2020-10-12_final
2020-10-12 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-12_final
2020-10-15 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-10-15_final
2020-10-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-22_final
2020-10-25 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-10-25_final
2020-11-01 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-11-01_final
2020-11-04 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-11-04_final
2020-11-11 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-11-11_final
2020-11-14 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-11-14_final
2020-11-21 11:37:05	ga_s2am_ard_3-2-1_50HQH_2020-11-21_final
2020-11-24 11:46:55	ga_s2am_ard_3-2-1_50HQH_2020-11-24_final
2020-12-01 11:37:02	ga_s2am_ard_3-2-1_50HQH_2020-12-01_final
2020-12-04 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-04_final
2020-12-11 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-12-11_final
2020-12-14 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-12-14_final
2020-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2020-12-21_final
2020-12-24 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-24_final
2021-01-03 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-01-03_final
2021-01-10 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-10_final
2021-01-13 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-13_final
2021-01-20 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-20_final
2021-01-23 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-23_final
2021-01-30 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-30_final
2021-02-02 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-02_final
2021-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-02-09_final
2021-02-12 11:46:52	ga_s2am_ard_3-2-1_50HQH_2021-02-12_final
2021-02-19 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-02-19_final
2021-02-22 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-22_final
2021-03-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-03-01_final
2021-03-04 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-03-04_final
2021-03-11 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-03-11_final
2021-03-14 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-03-14_final
2021-03-21 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-03-21_final
2021-03-24 11:46:52	ga_s2am_ard_3-2-1_50HQH_2021-03-24_final
2021-03-31 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-03-31_final
2021-04-03 11:46:50	ga_s2am_ard_3-2-1_50HQH_2021-04-03_final
2021-04-10 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-10_final
2021-04-13 11:46:48	ga_s2am_ard_3-2-1_50HQH_2021-04-13_final
2021-04-19 10:26:27	ga_s2am_ard_3-2-1_53HQC_2021-04-19_final
2021-04-20 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-20_final
2021-04-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2021-04-23_final
2021-04-29 10:26:29	ga_s2am_ard_3-2-1_53HQC_2021-04-29_final
2021-04-30 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-04-30_final
2021-05-03 11:46:51	ga_s2am_ard_3-2-1_50HQH_2021-05-03_final
2021-05-09 10:26:31	ga_s2am_ard_3-2-1_53HQC_2021-05-09_final
2021-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-05-10_final
2021-05-13 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-05-13_final
2021-05-19 10:26:32	ga_s2am_ard_3-2-1_53HQC_2021-05-19_final
2021-05-29 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-05-29_final
2021-06-08 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-06-08_final
2021-06-18 10:26:32	ga_s2am_ard_3-2-1_53HQC_2021-06-18_final
2021-06-28 10:26:34	ga_s2am_ard_3-2-1_53HQC_2021-06-28_final
2021-07-08 10:26:35	ga_s2am_ard_3-2-1_53HQC_2021-07-08_final
2021-07-18 10:26:36	ga_s2am_ard_3-2-1_53HQC_2021-07-18_final
2021-07-28 10:26:36	ga_s2am_ard_3-2-1_53HQC_2021-07-28_final
2021-08-07 10:26:35	ga_s2am_ard_3-2-1_53HQC_2021-08-07_final
2021-08-17 10:26:35	ga_s2am_ard_3-2-1_53HQC_2021-08-17_final
2021-08-27 10:26:34	ga_s2am_ard_3-2-1_53HQC_2021-08-27_final
2021-09-06 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-09-06_final
2021-09-16 10:26:34	ga_s2am_ard_3-2-1_53HQC_2021-09-16_final
2021-09-26 10:26:36	ga_s2am_ard_3-2-1_53HQC_2021-09-26_final
2021-10-06 10:26:37	ga_s2am_ard_3-2-1_53HQC_2021-10-06_final
2021-10-16 10:26:38	ga_s2am_ard_3-2-1_53HQC_2021-10-16_final
2021-10-26 10:26:37	ga_s2am_ard_3-2-1_53HQC_2021-10-26_final
2021-11-05 10:26:36	ga_s2am_ard_3-2-1_53HQC_2021-11-05_final
2021-11-15 10:26:33	ga_s2am_ard_3-2-1_53HQC_2021-11-15_final
2021-11-29 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-29_final
2021-12-05 10:26:31	ga_s2am_ard_3-2-1_53HQC_2021-12-05_final
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final
2021-12-15 10:26:32	ga_s2am_ard_3-2-1_53HQC_2021-12-15_final
2021-12-16 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2021-12-25 10:26:34	ga_s2am_ard_3-2-1_53HQC_2021-12-25_final
2022-01-04 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-01-04_final
2022-01-14 10:26:33	ga_s2am_ard_3-2-1_53HQC_2022-01-14_final
2022-01-24 10:26:32	ga_s2am_ard_3-2-1_53HQC_2022-01-24_final
2022-02-03 10:26:32	ga_s2am_ard_3-2-1_53HQC_2022-02-03_final
2022-02-13 10:26:32	ga_s2am_ard_3-2-1_53HQC_2022-02-13_final
2022-02-23 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-02-23_final
2022-03-05 10:26:36	ga_s2am_ard_3-2-1_53HQC_2022-03-05_final
2022-03-15 10:26:36	ga_s2am_ard_3-2-1_53HQC_2022-03-15_final
2022-03-25 10:26:35	ga_s2am_ard_3-2-1_53HQC_2022-03-25_final
2022-04-04 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-04-04_final
2022-04-14 10:26:35	ga_s2am_ard_3-2-1_53HQC_2022-04-14_final
2022-04-24 10:26:37	ga_s2am_ard_3-2-1_53HQC_2022-04-24_final
2022-05-04 10:26:37	ga_s2am_ard_3-2-1_53HQC_2022-05-04_final
2022-05-14 10:26:36	ga_s2am_ard_3-2-1_53HQC_2022-05-14_final
2022-05-24 10:26:39	ga_s2am_ard_3-2-1_53HQC_2022-05-24_final
2022-06-03 10:26:40	ga_s2am_ard_3-2-1_53HQC_2022-06-03_final
2022-06-13 10:26:42	ga_s2am_ard_3-2-1_53HQC_2022-06-13_final
2022-06-23 10:26:44	ga_s2am_ard_3-2-1_53HQC_2022-06-23_final
2022-07-03 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-07-03_final
2022-07-13 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-07-13_final
2022-07-23 10:26:43	ga_s2am_ard_3-2-1_53HQC_2022-07-23_final
2022-08-02 10:26:43	ga_s2am_ard_3-2-1_53HQC_2022-08-02_final
2022-08-12 10:26:44	ga_s2am_ard_3-2-1_53HQC_2022-08-12_final
2022-08-22 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-08-22_final
2022-09-21 10:26:40	ga_s2am_ard_3-2-1_53HQC_2022-09-21_final.stac-item
2022-10-11 10:26:38	ga_s2am_ard_3-2-1_53HQC_2022-10-11_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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