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
2021-05-20 09:57:08	ga_s2am_ard_3-2-1_54HYE_2021-05-20_final
2021-05-30 09:57:09	ga_s2am_ard_3-2-1_54HYE_2021-05-30_final
2021-06-12 10:07:04	ga_s2am_ard_3-2-1_54HYE_2021-06-12_final
2021-07-02 10:07:05	ga_s2am_ard_3-2-1_54HYE_2021-07-02_final
2021-07-19 09:57:11	ga_s2am_ard_3-2-1_54HYE_2021-07-19_final
2021-07-29 09:57:11	ga_s2am_ard_3-2-1_54HYE_2021-07-29_final
2021-08-01 10:07:06	ga_s2am_ard_3-2-1_54HYE_2021-08-01_final
2021-08-11 10:07:06	ga_s2am_ard_3-2-1_54HYE_2021-08-11_final
2021-08-31 10:07:04	ga_s2am_ard_3-2-1_54HYE_2021-08-31_final
2021-09-07 09:57:08	ga_s2am_ard_3-2-1_54HYE_2021-09-07_final
2021-09-20 10:07:06	ga_s2am_ard_3-2-1_54HYE_2021-09-20_final
2021-10-07 09:57:13	ga_s2am_ard_3-2-1_54HYE_2021-10-07_final
2021-10-10 10:07:08	ga_s2am_ard_3-2-1_54HYE_2021-10-10_final
2021-10-17 09:57:13	ga_s2am_ard_3-2-1_54HYE_2021-10-17_final
2021-10-20 10:07:08	ga_s2am_ard_3-2-1_54HYE_2021-10-20_final
2021-10-30 10:07:08	ga_s2am_ard_3-2-1_54HYE_2021-10-30_final
2021-11-06 09:57:11	ga_s2am_ard_3-2-1_54HYE_2021-11-06_final
2021-12-06 09:57:07	ga_s2am_ard_3-2-1_54HYE_2021-12-06_final
2021-12-26 09:57:09	ga_s2am_ard_3-2-1_54HYE_2021-12-26_final
2022-01-05 09:57:09	ga_s2am_ard_3-2-1_54HYE_2022-01-05_final
2022-01-08 10:07:05	ga_s2am_ard_3-2-1_54HYE_2022-01-08_final
2022-01-15 09:57:09	ga_s2am_ard_3-2-1_54HYE_2022-01-15_final
2022-01-18 10:07:03	ga_s2am_ard_3-2-1_54HYE_2022-01-18_final
2022-01-25 09:57:08	ga_s2am_ard_3-2-1_54HYE_2022-01-25_final
2022-01-28 10:07:03	ga_s2am_ard_3-2-1_54HYE_2022-01-28_final
2022-02-04 09:57:08	ga_s2am_ard_3-2-1_54HYE_2022-02-04_final
2022-02-07 10:07:03	ga_s2am_ard_3-2-1_54HYE_2022-02-07_final
2022-02-14 09:57:08	ga_s2am_ard_3-2-1_54HYE_2022-02-14_final
2022-02-17 10:07:04	ga_s2am_ard_3-2-1_54HYE_2022-02-17_final
2022-02-24 09:57:10	ga_s2am_ard_3-2-1_54HYE_2022-02-24_final
2022-02-27 10:07:06	ga_s2am_ard_3-2-1_54HYE_2022-02-27_final
2022-03-06 09:57:12	ga_s2am_ard_3-2-1_54HYE_2022-03-06_final
2022-03-09 10:07:07	ga_s2am_ard_3-2-1_54HYE_2022-03-09_final
2022-03-16 09:57:12	ga_s2am_ard_3-2-1_54HYE_2022-03-16_final
2022-03-19 10:07:07	ga_s2am_ard_3-2-1_54HYE_2022-03-19_final
2022-03-26 09:57:10	ga_s2am_ard_3-2-1_54HYE_2022-03-26_final
2022-03-29 10:07:06	ga_s2am_ard_3-2-1_54HYE_2022-03-29_final
2022-04-05 09:57:09	ga_s2am_ard_3-2-1_54HYE_2022-04-05_final
2022-04-08 10:07:04	ga_s2am_ard_3-2-1_54HYE_2022-04-08_final
2022-04-15 09:57:11	ga_s2am_ard_3-2-1_54HYE_2022-04-15_final
2022-04-18 10:07:07	ga_s2am_ard_3-2-1_54HYE_2022-04-18_final
2022-04-25 09:57:13	ga_s2am_ard_3-2-1_54HYE_2022-04-25_final
2022-04-28 10:07:08	ga_s2am_ard_3-2-1_54HYE_2022-04-28_final
2022-05-05 09:57:12	ga_s2am_ard_3-2-1_54HYE_2022-05-05_final
2022-05-08 10:07:07	ga_s2am_ard_3-2-1_54HYE_2022-05-08_final
2022-05-15 09:57:12	ga_s2am_ard_3-2-1_54HYE_2022-05-15_final
2022-05-15 09:57:19	ga_s2am_ard_3-2-1_54HYE_2022-05-15_final
2022-05-18 10:07:09	ga_s2am_ard_3-2-1_54HYE_2022-05-18_final
2022-05-25 09:57:15	ga_s2am_ard_3-2-1_54HYE_2022-05-25_final
2022-05-25 09:57:22	ga_s2am_ard_3-2-1_54HYE_2022-05-25_final
2022-05-28 10:07:11	ga_s2am_ard_3-2-1_54HYE_2022-05-28_final
2022-06-04 09:57:15	ga_s2am_ard_3-2-1_54HYE_2022-06-04_final
2022-06-04 09:57:23	ga_s2am_ard_3-2-1_54HYE_2022-06-04_final
2022-06-07 10:07:11	ga_s2am_ard_3-2-1_54HYE_2022-06-07_final
2022-06-14 09:57:18	ga_s2am_ard_3-2-1_54HYE_2022-06-14_final
2022-06-14 09:57:25	ga_s2am_ard_3-2-1_54HYE_2022-06-14_final
2022-06-17 10:07:14	ga_s2am_ard_3-2-1_54HYE_2022-06-17_final
2022-06-17 10:07:22	ga_s2am_ard_3-2-1_54HYE_2022-06-17_final
2022-06-24 09:57:27	ga_s2am_ard_3-2-1_54HYE_2022-06-24_final
2022-06-27 10:07:16	ga_s2am_ard_3-2-1_54HYE_2022-06-27_final
2022-07-04 09:57:21	ga_s2am_ard_3-2-1_54HYE_2022-07-04_final
2022-07-07 10:07:16	ga_s2am_ard_3-2-1_54HYE_2022-07-07_final
2022-07-14 09:57:20	ga_s2am_ard_3-2-1_54HYE_2022-07-14_final
2022-07-14 09:57:28	ga_s2am_ard_3-2-1_54HYE_2022-07-14_final
2022-07-17 10:07:15	ga_s2am_ard_3-2-1_54HYE_2022-07-17_final
2022-07-24 09:57:18	ga_s2am_ard_3-2-1_54HYE_2022-07-24_final
2022-07-27 10:07:13	ga_s2am_ard_3-2-1_54HYE_2022-07-27_final
2022-08-03 09:57:18	ga_s2am_ard_3-2-1_54HYE_2022-08-03_final
2022-08-06 10:07:14	ga_s2am_ard_3-2-1_54HYE_2022-08-06_final
2022-08-13 09:57:20	ga_s2am_ard_3-2-1_54HYE_2022-08-13_final
2022-08-16 10:07:16	ga_s2am_ard_3-2-1_54HYE_2022-08-16_final
2022-08-23 09:57:10	ga_s2am_ard_3-2-1_54HYE_2022-08-23_final
2022-08-23 09:57:20	ga_s2am_ard_3-2-1_54HYE_2022-08-23_final
2023-02-12 10:07:01	ga_s2am_ard_3-2-1_54HYE_2023-02-12_final.stac-item
2023-02-19 09:57:05	ga_s2am_ard_3-2-1_54HYE_2023-02-19_final.stac-item
2023-02-22 10:07:01	ga_s2am_ard_3-2-1_54HYE_2023-02-22_final.stac-item
2023-03-01 09:57:05	ga_s2am_ard_3-2-1_54HYE_2023-03-01_final.stac-item
2023-03-04 10:07:00	ga_s2am_ard_3-2-1_54HYE_2023-03-04_final.stac-item
2023-03-11 09:57:03	ga_s2am_ard_3-2-1_54HYE_2023-03-11_final.stac-item
2023-03-21 09:57:06	ga_s2am_ard_3-2-1_54HYE_2023-03-21_final.stac-item
2023-03-24 10:06:56	ga_s2am_ard_3-2-1_54HYE_2023-03-24_final.stac-item
2023-03-24 10:07:02	ga_s2am_ard_3-2-1_54HYE_2023-03-24_final.stac-item
2023-03-31 09:57:06	ga_s2am_ard_3-2-1_54HYE_2023-03-31_final.stac-item
2023-04-03 10:07:02	ga_s2am_ard_3-2-1_54HYE_2023-04-03_final.stac-item
2023-04-10 09:57:08	ga_s2am_ard_3-2-1_54HYE_2023-04-10_final.stac-item
2023-04-13 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-04-13_final.stac-item
2023-04-20 09:57:06	ga_s2am_ard_3-2-1_54HYE_2023-04-20_final.stac-item
2023-04-23 10:07:02	ga_s2am_ard_3-2-1_54HYE_2023-04-23_final.stac-item
2023-04-30 09:57:08	ga_s2am_ard_3-2-1_54HYE_2023-04-30_final.stac-item
2023-05-03 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-05-03_final.stac-item
2023-05-10 09:57:07	ga_s2am_ard_3-2-1_54HYE_2023-05-10_final.stac-item
2023-05-13 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-05-13_final.stac-item
2023-05-20 09:57:10	ga_s2am_ard_3-2-1_54HYE_2023-05-20_final.stac-item
2023-06-12 10:07:07	ga_s2am_ard_3-2-1_54HYE_2023-06-12_final.stac-item
2023-10-17 09:57:07	ga_s2am_ard_3-2-1_54HYE_2023-10-17_final.stac-item
2023-10-20 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-10-20_final.stac-item
2023-10-27 09:57:08	ga_s2am_ard_3-2-1_54HYE_2023-10-27_final.stac-item
2023-10-30 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-10-30_final.stac-item
2023-11-06 09:57:07	ga_s2am_ard_3-2-1_54HYE_2023-11-06_final.stac-item
2023-11-16 09:57:06	ga_s2am_ard_3-2-1_54HYE_2023-11-16_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

All years