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
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_56HKH_2018-07-19_final
2018-07-29 09:32:41	ga_s2am_ard_3-2-1_56HKH_2018-07-29_final
2018-08-08 09:32:40	ga_s2am_ard_3-2-1_56HKH_2018-08-08_final
2018-08-18 09:34:13	ga_s2am_ard_3-2-1_56HKH_2018-08-18_final
2018-08-28 09:32:38	ga_s2am_ard_3-2-1_56HKH_2018-08-28_final
2018-09-07 09:32:37	ga_s2am_ard_3-2-1_56HKH_2018-09-07_final
2018-09-17 09:32:36	ga_s2am_ard_3-2-1_56HKH_2018-09-17_final
2018-09-27 09:32:36	ga_s2am_ard_3-2-1_56HKH_2018-09-27_final
2018-10-07 09:32:37	ga_s2am_ard_3-2-1_56HKH_2018-10-07_final
2018-10-17 09:32:37	ga_s2am_ard_3-2-1_56HKH_2018-10-17_final
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_56HKH_2018-10-27_final
2018-11-06 09:32:36	ga_s2am_ard_3-2-1_56HKH_2018-11-06_final
2018-11-16 09:36:05	ga_s2am_ard_3-2-1_56HKH_2018-11-16_final
2018-11-26 09:36:03	ga_s2am_ard_3-2-1_56HKH_2018-11-26_final
2018-12-06 09:36:03	ga_s2am_ard_3-2-1_56HKH_2018-12-06_final
2018-12-16 09:36:03	ga_s2am_ard_3-2-1_56HKH_2018-12-16_final
2018-12-26 09:36:04	ga_s2am_ard_3-2-1_56HKH_2018-12-26_final
2019-01-05 09:36:06	ga_s2am_ard_3-2-1_56HKH_2019-01-05_final
2019-01-15 09:36:07	ga_s2am_ard_3-2-1_56HKH_2019-01-15_final
2019-01-25 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-01-25_final
2019-02-04 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-02-04_final
2019-02-14 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-02-14_final
2019-02-24 09:36:07	ga_s2am_ard_3-2-1_56HKH_2019-02-24_final
2019-03-06 09:36:06	ga_s2am_ard_3-2-1_56HKH_2019-03-06_final
2019-03-16 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-03-16_final
2019-03-26 09:36:10	ga_s2am_ard_3-2-1_56HKH_2019-03-26_final
2019-04-05 09:36:12	ga_s2am_ard_3-2-1_56HKH_2019-04-05_final
2019-04-15 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-04-15_final
2019-04-25 09:36:15	ga_s2am_ard_3-2-1_56HKH_2019-04-25_final
2019-05-05 09:36:15	ga_s2am_ard_3-2-1_56HKH_2019-05-05_final
2019-05-15 09:36:15	ga_s2am_ard_3-2-1_56HKH_2019-05-15_final
2019-05-25 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-05-25_final
2019-06-04 09:36:13	ga_s2am_ard_3-2-1_56HKH_2019-06-04_final
2019-06-14 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-06-14_final
2019-06-24 09:36:16	ga_s2am_ard_3-2-1_56HKH_2019-06-24_final
2019-07-04 09:36:16	ga_s2am_ard_3-2-1_56HKH_2019-07-04_final
2019-07-14 09:36:16	ga_s2am_ard_3-2-1_56HKH_2019-07-14_final
2019-07-24 09:36:16	ga_s2am_ard_3-2-1_56HKH_2019-07-24_final
2019-08-03 09:36:16	ga_s2am_ard_3-2-1_56HKH_2019-08-03_final
2019-08-13 09:36:15	ga_s2am_ard_3-2-1_56HKH_2019-08-13_final
2019-08-23 09:36:13	ga_s2am_ard_3-2-1_56HKH_2019-08-23_final
2019-09-02 09:36:12	ga_s2am_ard_3-2-1_56HKH_2019-09-02_final
2019-09-12 09:36:10	ga_s2am_ard_3-2-1_56HKH_2019-09-12_final
2019-09-22 09:36:12	ga_s2am_ard_3-2-1_56HKH_2019-09-22_final
2019-10-12 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-10-12_final
2019-10-22 09:36:15	ga_s2am_ard_3-2-1_56HKH_2019-10-22_final
2019-11-01 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-11-01_final
2019-11-11 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-11-11_final
2019-11-21 09:36:12	ga_s2am_ard_3-2-1_56HKH_2019-11-21_final
2022-06-08 09:36:14	ga_s2am_ard_3-2-1_56HKH_2022-06-08_final
2022-07-28 09:36:17	ga_s2am_ard_3-2-1_56HKH_2022-07-28_final
2022-12-18 09:42:28	ga_s2am_ard_3-2-1_55KHT_2022-12-18_nrt.stac-item
2022-12-21 09:49:57	ga_s2am_ard_3-2-1_55LHH_2022-12-21_nrt.stac-item
2022-12-28 09:42:27	ga_s2am_ard_3-2-1_55KHT_2022-12-28_nrt.stac-item
2022-12-31 09:49:58	ga_s2am_ard_3-2-1_55LHH_2022-12-31_nrt.stac-item
2023-01-07 09:42:28	ga_s2am_ard_3-2-1_55KHT_2023-01-07_nrt.stac-item
2023-01-17 09:42:25	ga_s2am_ard_3-2-1_55KHT_2023-01-17_nrt.stac-item
2023-01-27 09:42:26	ga_s2am_ard_3-2-1_55KHT_2023-01-27_nrt.stac-item
2023-02-06 09:42:28	ga_s2am_ard_3-2-1_55KHT_2023-02-06_nrt.stac-item
2023-02-16 09:42:25	ga_s2am_ard_3-2-1_55KHT_2023-02-16_nrt.stac-item
2023-02-26 09:42:26	ga_s2am_ard_3-2-1_55KHT_2023-02-26_nrt.stac-item
2023-03-08 09:42:24	ga_s2am_ard_3-2-1_55KHT_2023-03-08_nrt.stac-item
2023-03-18 09:42:27	ga_s2am_ard_3-2-1_55KHT_2023-03-18_nrt.stac-item
2023-03-28 09:42:27	ga_s2am_ard_3-2-1_55KHT_2023-03-28_nrt.stac-item
2023-04-07 09:42:29	ga_s2am_ard_3-2-1_55KHT_2023-04-07_nrt.stac-item
2023-04-17 09:42:28	ga_s2am_ard_3-2-1_55KHT_2023-04-17_nrt.stac-item
2023-04-27 09:42:29	ga_s2am_ard_3-2-1_55KHT_2023-04-27_nrt.stac-item
2023-05-07 09:42:29	ga_s2am_ard_3-2-1_55KHT_2023-05-07_nrt.stac-item
2023-05-17 09:42:30	ga_s2am_ard_3-2-1_55KHT_2023-05-17_nrt.stac-item
2023-05-27 09:42:32	ga_s2am_ard_3-2-1_55KHT_2023-05-27_nrt.stac-item
2023-05-30 09:50:03	ga_s2am_ard_3-2-1_55LHH_2023-05-30_nrt.stac-item
2023-06-06 09:42:32	ga_s2am_ard_3-2-1_55KHT_2023-06-06_nrt.stac-item
2023-06-09 09:50:02	ga_s2am_ard_3-2-1_55LHH_2023-06-09_nrt.stac-item
2023-06-19 09:50:02	ga_s2am_ard_3-2-1_55LHH_2023-06-19_nrt.stac-item
2023-06-29 09:49:55	ga_s2am_ard_3-2-1_55LHH_2023-06-29_nrt.stac-item
2023-06-29 09:50:02	ga_s2am_ard_3-2-1_55LHH_2023-06-29_nrt.stac-item
2023-07-09 09:50:04	ga_s2am_ard_3-2-1_55LHH_2023-07-09_nrt.stac-item
2023-07-19 09:50:03	ga_s2am_ard_3-2-1_55LHH_2023-07-19_nrt.stac-item
2023-07-29 09:50:04	ga_s2am_ard_3-2-1_55LHH_2023-07-29_nrt.stac-item
2023-08-08 09:50:03	ga_s2am_ard_3-2-1_55LHH_2023-08-08_nrt.stac-item
2023-08-18 09:50:04	ga_s2am_ard_3-2-1_55LHH_2023-08-18_nrt.stac-item
2023-11-23 09:42:24	ga_s2am_ard_3-2-1_55KHT_2023-11-23_nrt.stac-item
2023-12-03 09:42:21	ga_s2am_ard_3-2-1_55KHT_2023-12-03_final.stac-item
2023-12-13 09:42:24	ga_s2am_ard_3-2-1_55KHT_2023-12-13_final.stac-item
2023-12-23 09:42:25	ga_s2am_ard_3-2-1_55KHT_2023-12-23_final.stac-item
2024-01-02 09:42:26	ga_s2am_ard_3-2-1_55KHT_2024-01-02_final.stac-item
2024-01-12 09:42:23	ga_s2am_ard_3-2-1_55KHT_2024-01-12_final.stac-item
2024-01-22 09:42:21	ga_s2am_ard_3-2-1_55KHT_2024-01-22_final.stac-item
2024-02-01 09:42:24	ga_s2am_ard_3-2-1_55KHT_2024-02-01_final.stac-item
2024-02-11 09:42:25	ga_s2am_ard_3-2-1_55KHT_2024-02-11_final.stac-item
2024-02-21 09:42:27	ga_s2am_ard_3-2-1_55KHT_2024-02-21_final.stac-item
2024-03-02 09:42:29	ga_s2am_ard_3-2-1_55KHT_2024-03-02_final.stac-item
2024-03-12 09:42:29	ga_s2am_ard_3-2-1_55KHT_2024-03-12_final.stac-item
2024-03-22 09:42:30	ga_s2am_ard_3-2-1_55KHT_2024-03-22_final.stac-item
2024-04-01 09:42:28	ga_s2am_ard_3-2-1_55KHT_2024-04-01_final.stac-item
2024-04-11 09:42:29	ga_s2am_ard_3-2-1_55KHT_2024-04-11_nrt.stac-item
2024-04-21 09:42:28	ga_s2am_ard_3-2-1_55KHT_2024-04-21_nrt.stac-item
2024-05-01 09:42:32	ga_s2am_ard_3-2-1_55KHT_2024-05-01_nrt.stac-item
2024-05-11 09:42:32	ga_s2am_ard_3-2-1_55KHT_2024-05-11_nrt.stac-item
2024-05-21 09:42:29	ga_s2am_ard_3-2-1_55KHT_2024-05-21_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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