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
2019-04-03 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-04-03_final
2019-04-13 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-04-13_final
2019-04-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-04-23_final
2019-05-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-03_final
2019-05-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-13_final
2019-05-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-05-23_final
2019-06-02 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-06-02_final
2019-06-12 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-06-12_final
2019-06-22 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-06-22_final
2019-07-02 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-02_final
2019-07-12 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-12_final
2019-07-22 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-22_final
2019-08-01 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-08-01_final
2019-08-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-08-11_final
2019-08-21 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-08-21_final
2019-08-31 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-08-31_final
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-09-20 12:14:56	ga_s2am_ard_3-2-1_49JGM_2019-09-20_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-10-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-10_final
2019-10-20 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-20_final
2019-10-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final
2019-10-30 12:15:05	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final
2019-11-09 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-11-09_final
2019-11-19 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-11-19_final
2019-11-29 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-11-29_final
2019-12-09 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-12-09_final
2019-12-19 12:14:50	ga_s2am_ard_3-2-1_49JGM_2019-12-19_final
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final
2020-01-18 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-18_final
2020-01-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2020-01-28_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-02-17 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-02-17_final
2020-02-27 12:14:51	ga_s2am_ard_3-2-1_49JGM_2020-02-27_final
2020-03-08 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-08_final
2020-03-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-18_final
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-04-07 12:14:53	ga_s2am_ard_3-2-1_49JGM_2020-04-07_final
2020-04-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2020-04-17_final
2020-04-27 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-04-27_final
2020-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-05-07_final
2020-05-17 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-05-17_final
2020-05-27 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-05-27_final
2022-12-13 12:13:44	ga_s2am_ard_3-2-1_49KGS_2022-12-13_nrt.stac-item
2022-12-23 12:13:41	ga_s2am_ard_3-2-1_49KGS_2022-12-23_nrt.stac-item
2023-01-02 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-01-02_nrt.stac-item
2023-01-12 12:13:42	ga_s2am_ard_3-2-1_49KGS_2023-01-12_nrt.stac-item
2023-01-22 12:13:39	ga_s2am_ard_3-2-1_49KGS_2023-01-22_nrt.stac-item
2023-02-01 12:13:42	ga_s2am_ard_3-2-1_49KGS_2023-02-01_nrt.stac-item
2023-02-11 12:13:42	ga_s2am_ard_3-2-1_49KGS_2023-02-11_nrt.stac-item
2023-02-21 12:13:41	ga_s2am_ard_3-2-1_49KGS_2023-02-21_nrt.stac-item
2023-03-03 12:13:38	ga_s2am_ard_3-2-1_49KGS_2023-03-03_interim.stac-item
2023-03-13 12:13:40	ga_s2am_ard_3-2-1_49KGS_2023-03-13_nrt.stac-item
2023-03-23 12:13:42	ga_s2am_ard_3-2-1_49KGS_2023-03-23_nrt.stac-item
2023-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-03-23_final.stac-item
2023-04-02 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-04-02_nrt.stac-item
2023-04-12 12:13:44	ga_s2am_ard_3-2-1_49KGS_2023-04-12_nrt.stac-item
2023-04-22 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-04-22_nrt.stac-item
2023-05-02 12:13:44	ga_s2am_ard_3-2-1_49KGS_2023-05-02_nrt.stac-item
2023-05-12 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-05-12_nrt.stac-item
2023-05-12 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-05-12_final.stac-item
2023-05-22 12:13:47	ga_s2am_ard_3-2-1_49KGS_2023-05-22_nrt.stac-item
2023-06-01 12:13:48	ga_s2am_ard_3-2-1_49KGS_2023-06-01_nrt.stac-item
2023-06-11 12:13:48	ga_s2am_ard_3-2-1_49KGS_2023-06-11_nrt.stac-item
2023-06-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-11_final.stac-item
2023-06-21 12:13:48	ga_s2am_ard_3-2-1_49KGS_2023-06-21_nrt.stac-item
2023-06-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-21_final.stac-item
2023-07-01 12:13:48	ga_s2am_ard_3-2-1_49KGS_2023-07-01_nrt.stac-item
2023-07-11 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-07-11_nrt.stac-item
2023-07-21 12:13:48	ga_s2am_ard_3-2-1_49KGS_2023-07-21_interim.stac-item
2023-07-31 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-07-31_nrt.stac-item
2023-08-20 12:13:50	ga_s2am_ard_3-2-1_49KGS_2023-08-20_nrt.stac-item
2023-08-30 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-08-30_nrt.stac-item
2023-09-09 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-09-09_nrt.stac-item
2023-09-19 12:13:46	ga_s2am_ard_3-2-1_49KGS_2023-09-19_nrt.stac-item
2023-09-29 12:13:46	ga_s2am_ard_3-2-1_49KGS_2023-09-29_nrt.stac-item
2023-10-09 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-10-09_nrt.stac-item
2023-10-19 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-10-19_nrt.stac-item
2023-10-29 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-10-29_nrt.stac-item
2023-11-08 12:13:43	ga_s2am_ard_3-2-1_49KGS_2023-11-08_nrt.stac-item
2023-11-18 12:13:42	ga_s2am_ard_3-2-1_49KGS_2023-11-18_nrt.stac-item
2023-11-28 12:13:37	ga_s2am_ard_3-2-1_49KGS_2023-11-28_final.stac-item
2023-12-08 12:13:38	ga_s2am_ard_3-2-1_49KGS_2023-12-08_final.stac-item
2023-12-18 12:13:40	ga_s2am_ard_3-2-1_49KGS_2023-12-18_final.stac-item
2023-12-28 12:13:41	ga_s2am_ard_3-2-1_49KGS_2023-12-28_final.stac-item
2024-01-07 12:13:40	ga_s2am_ard_3-2-1_49KGS_2024-01-07_final.stac-item
2024-01-17 12:13:36	ga_s2am_ard_3-2-1_49KGS_2024-01-17_final.stac-item
2024-01-27 12:13:38	ga_s2am_ard_3-2-1_49KGS_2024-01-27_final.stac-item
2024-02-06 12:13:40	ga_s2am_ard_3-2-1_49KGS_2024-02-06_final.stac-item
2024-02-16 12:13:42	ga_s2am_ard_3-2-1_49KGS_2024-02-16_final.stac-item
2024-02-26 12:13:43	ga_s2am_ard_3-2-1_49KGS_2024-02-26_final.stac-item
2024-03-07 12:13:44	ga_s2am_ard_3-2-1_49KGS_2024-03-07_final.stac-item
2024-03-17 12:13:44	ga_s2am_ard_3-2-1_49KGS_2024-03-17_final.stac-item
2024-03-27 12:13:44	ga_s2am_ard_3-2-1_49KGS_2024-03-27_final.stac-item
2024-04-06 12:13:42	ga_s2am_ard_3-2-1_49KGS_2024-04-06_nrt.stac-item
2024-04-16 12:13:46	ga_s2am_ard_3-2-1_49KGS_2024-04-16_nrt.stac-item
2024-04-26 12:13:46	ga_s2am_ard_3-2-1_49KGS_2024-04-26_nrt.stac-item
2024-05-06 12:13:46	ga_s2am_ard_3-2-1_49KGS_2024-05-06_nrt.stac-item
2024-05-16 12:13:46	ga_s2am_ard_3-2-1_49KGS_2024-05-16_nrt.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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