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
2022-08-19 10:14:26	ga_s2am_ard_3-2-1_54JWS_2022-08-19_final
2022-08-22 10:24:21	ga_s2am_ard_3-2-1_54JWS_2022-08-22_final
2022-09-01 10:24:21	ga_s2am_ard_3-2-1_54JWS_2022-09-01_final.stac-item
2022-09-11 10:24:19	ga_s2am_ard_3-2-1_54JWS_2022-09-11_final.stac-item
2022-09-18 10:14:22	ga_s2am_ard_3-2-1_54JWS_2022-09-18_final.stac-item
2022-09-28 10:14:21	ga_s2am_ard_3-2-1_54JWS_2022-09-28_final.stac-item
2022-10-08 10:14:20	ga_s2am_ard_3-2-1_54JWS_2022-10-08_final.stac-item
2022-10-11 10:24:14	ga_s2am_ard_3-2-1_54JWS_2022-10-11_final.stac-item
2022-10-18 10:14:16	ga_s2am_ard_3-2-1_54JWS_2022-10-18_final.stac-item
2022-10-21 10:24:10	ga_s2am_ard_3-2-1_54JWS_2022-10-21_final.stac-item
2022-10-31 10:24:12	ga_s2am_ard_3-2-1_54JWS_2022-10-31_final.stac-item
2022-11-07 10:14:17	ga_s2am_ard_3-2-1_54JWS_2022-11-07_final.stac-item
2022-11-10 10:24:12	ga_s2am_ard_3-2-1_54JWS_2022-11-10_final.stac-item
2022-11-17 10:14:15	ga_s2am_ard_3-2-1_54JWS_2022-11-17_final.stac-item
2022-11-20 10:24:09	ga_s2am_ard_3-2-1_54JWS_2022-11-20_final.stac-item
2022-11-24 10:04:08	ga_s2am_ard_3-2-1_54JZS_2022-11-24_final.stac-item
2022-11-24 10:04:09	ga_s2am_ard_3-2-1_55JBM_2022-11-24_final.stac-item
2022-11-27 10:14:14	ga_s2am_ard_3-2-1_54JYS_2022-11-27_final.stac-item
2022-11-27 10:14:16	ga_s2am_ard_3-2-1_54JXS_2022-11-27_final.stac-item
2022-11-27 10:14:17	ga_s2am_ard_3-2-1_54JWS_2022-11-27_final.stac-item
2022-11-30 10:24:09	ga_s2am_ard_3-2-1_54JWS_2022-11-30_final.stac-item
2022-12-07 10:14:14	ga_s2am_ard_3-2-1_54JWS_2022-12-07_final.stac-item
2022-12-10 10:24:09	ga_s2am_ard_3-2-1_54JWS_2022-12-10_final.stac-item
2022-12-17 10:14:13	ga_s2am_ard_3-2-1_54JWS_2022-12-17_final.stac-item
2022-12-20 10:24:07	ga_s2am_ard_3-2-1_54JWS_2022-12-20_final.stac-item
2022-12-27 10:14:12	ga_s2am_ard_3-2-1_54JWS_2022-12-27_final.stac-item
2022-12-30 10:24:07	ga_s2am_ard_3-2-1_54JWS_2022-12-30_final.stac-item
2023-01-06 10:14:12	ga_s2am_ard_3-2-1_54JWS_2023-01-06_final.stac-item
2023-01-09 10:24:07	ga_s2am_ard_3-2-1_54JWS_2023-01-09_final.stac-item
2023-01-10 09:54:07	ga_s2am_ard_3-2-1_55JCM_2023-01-10_final.stac-item
2023-01-16 10:14:13	ga_s2am_ard_3-2-1_54JXS_2023-01-16_final.stac-item
2023-01-16 10:14:14	ga_s2am_ard_3-2-1_54JWS_2023-01-16_final.stac-item
2023-01-19 10:24:03	ga_s2am_ard_3-2-1_54JWS_2023-01-19_final.stac-item
2023-06-29 09:54:09	ga_s2am_ard_3-2-1_55JDM_2023-06-29_final.stac-item
2023-07-02 10:04:05	ga_s2am_ard_3-2-1_55JDM_2023-07-02_final.stac-item
2023-07-09 09:54:10	ga_s2am_ard_3-2-1_55JDM_2023-07-09_final.stac-item
2023-07-12 10:04:06	ga_s2am_ard_3-2-1_55JDM_2023-07-12_final.stac-item
2023-07-19 09:54:09	ga_s2am_ard_3-2-1_55JDM_2023-07-19_final.stac-item
2023-07-22 10:04:05	ga_s2am_ard_3-2-1_55JDM_2023-07-22_final.stac-item
2023-07-29 09:54:10	ga_s2am_ard_3-2-1_55JDM_2023-07-29_final.stac-item
2023-08-01 10:04:06	ga_s2am_ard_3-2-1_55JDM_2023-08-01_final.stac-item
2023-08-08 09:54:10	ga_s2am_ard_3-2-1_55JDM_2023-08-08_final.stac-item
2023-08-11 10:04:05	ga_s2am_ard_3-2-1_55JDM_2023-08-11_final.stac-item
2023-08-18 09:54:11	ga_s2am_ard_3-2-1_55JDM_2023-08-18_final.stac-item
2023-08-21 10:04:07	ga_s2am_ard_3-2-1_55JDM_2023-08-21_final.stac-item
2023-08-28 09:54:11	ga_s2am_ard_3-2-1_55JDM_2023-08-28_final.stac-item
2023-08-31 10:04:06	ga_s2am_ard_3-2-1_55JDM_2023-08-31_final.stac-item
2023-09-07 09:54:10	ga_s2am_ard_3-2-1_55JDM_2023-09-07_final.stac-item
2023-09-10 10:04:05	ga_s2am_ard_3-2-1_55JDM_2023-09-10_final.stac-item
2023-09-17 09:54:09	ga_s2am_ard_3-2-1_55JDM_2023-09-17_final.stac-item
2023-09-20 10:04:03	ga_s2am_ard_3-2-1_55JDM_2023-09-20_final.stac-item
2023-09-27 09:54:07	ga_s2am_ard_3-2-1_55JDM_2023-09-27_final.stac-item
2023-09-30 10:04:03	ga_s2am_ard_3-2-1_55JDM_2023-09-30_final.stac-item
2023-10-07 09:54:06	ga_s2am_ard_3-2-1_55JDM_2023-10-07_final.stac-item
2023-10-10 10:04:00	ga_s2am_ard_3-2-1_55JDM_2023-10-10_final.stac-item
2023-10-17 09:54:04	ga_s2am_ard_3-2-1_55JDM_2023-10-17_final.stac-item
2023-10-20 10:04:00	ga_s2am_ard_3-2-1_55JDM_2023-10-20_final.stac-item
2023-10-27 09:54:05	ga_s2am_ard_3-2-1_55JDM_2023-10-27_final.stac-item
2023-10-30 10:04:00	ga_s2am_ard_3-2-1_55JDM_2023-10-30_final.stac-item
2023-11-06 09:54:05	ga_s2am_ard_3-2-1_55JDM_2023-11-06_final.stac-item
2023-11-09 10:04:00	ga_s2am_ard_3-2-1_55JDM_2023-11-09_final.stac-item
2023-11-16 09:54:04	ga_s2am_ard_3-2-1_55JDM_2023-11-16_final.stac-item
2023-11-19 10:03:58	ga_s2am_ard_3-2-1_55JDM_2023-11-19_final.stac-item
2023-11-26 09:54:04	ga_s2am_ard_3-2-1_55JDM_2023-11-26_final.stac-item
2023-12-06 09:53:59	ga_s2am_ard_3-2-1_55JDM_2023-12-06_final.stac-item
2023-12-09 10:03:55	ga_s2am_ard_3-2-1_55JDM_2023-12-09_final.stac-item
2023-12-16 09:54:01	ga_s2am_ard_3-2-1_55JDM_2023-12-16_final.stac-item
2023-12-19 10:03:57	ga_s2am_ard_3-2-1_55JDM_2023-12-19_final.stac-item
2023-12-26 09:54:02	ga_s2am_ard_3-2-1_55JDM_2023-12-26_final.stac-item
2023-12-29 10:03:58	ga_s2am_ard_3-2-1_55JDM_2023-12-29_final.stac-item
2024-01-05 09:54:02	ga_s2am_ard_3-2-1_55JDM_2024-01-05_final.stac-item
2024-01-08 10:03:56	ga_s2am_ard_3-2-1_55JDM_2024-01-08_final.stac-item
2024-01-15 09:53:58	ga_s2am_ard_3-2-1_55JDM_2024-01-15_final.stac-item
2024-01-15 09:54:06	ga_s2am_ard_3-2-1_55JDM_2024-01-15_final.stac-item
2024-01-18 10:03:52	ga_s2am_ard_3-2-1_55JDM_2024-01-18_final.stac-item
2024-01-25 09:53:59	ga_s2am_ard_3-2-1_55JDM_2024-01-25_final.stac-item
2024-01-28 10:03:55	ga_s2am_ard_3-2-1_55JDM_2024-01-28_final.stac-item
2024-02-04 09:54:01	ga_s2am_ard_3-2-1_55JDM_2024-02-04_final.stac-item
2024-02-07 10:03:56	ga_s2am_ard_3-2-1_55JDM_2024-02-07_final.stac-item
2024-02-14 09:54:03	ga_s2am_ard_3-2-1_55JDM_2024-02-14_final.stac-item
2024-02-17 10:03:58	ga_s2am_ard_3-2-1_55JDM_2024-02-17_final.stac-item
2024-02-24 09:54:03	ga_s2am_ard_3-2-1_55JDM_2024-02-24_final.stac-item
2024-02-27 10:04:00	ga_s2am_ard_3-2-1_55JDM_2024-02-27_final.stac-item
2024-03-05 09:54:06	ga_s2am_ard_3-2-1_55JDM_2024-03-05_final.stac-item
2024-03-08 10:04:01	ga_s2am_ard_3-2-1_55JDM_2024-03-08_final.stac-item
2024-03-15 09:54:05	ga_s2am_ard_3-2-1_55JDM_2024-03-15_final.stac-item
2024-03-18 10:04:01	ga_s2am_ard_3-2-1_55JDM_2024-03-18_final.stac-item
2024-03-25 09:54:06	ga_s2am_ard_3-2-1_55JDM_2024-03-25_final.stac-item
2024-03-28 10:04:01	ga_s2am_ard_3-2-1_55JDM_2024-03-28_final.stac-item
2024-04-04 09:54:02	ga_s2am_ard_3-2-1_55JDM_2024-04-04_final.stac-item
2024-04-07 10:04:03	ga_s2am_ard_3-2-1_55JDM_2024-04-07_final.stac-item
2024-04-14 09:54:07	ga_s2am_ard_3-2-1_55JDM_2024-04-14_final.stac-item
2024-04-17 10:04:03	ga_s2am_ard_3-2-1_55JDM_2024-04-17_final.stac-item
2024-04-24 09:54:08	ga_s2am_ard_3-2-1_55JDM_2024-04-24_final.stac-item
2024-04-27 10:04:03	ga_s2am_ard_3-2-1_55JDM_2024-04-27_final.stac-item
2024-05-04 09:54:08	ga_s2am_ard_3-2-1_55JDM_2024-05-04_final.stac-item
2024-05-07 10:04:03	ga_s2am_ard_3-2-1_55JDM_2024-05-07_final.stac-item
2024-05-14 09:54:08	ga_s2am_ard_3-2-1_55JDM_2024-05-14_final.stac-item
2024-05-17 10:04:03	ga_s2am_ard_3-2-1_55JDM_2024-05-17_final.stac-item
2024-05-24 09:54:04	ga_s2am_ard_3-2-1_55JDM_2024-05-24_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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