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:

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First 100 results (query limit)

Time (local)	Label
2022-06-28 09:35:34	ga_s2am_ard_3-2-1_56JML_2022-06-28_final
2022-07-05 09:25:31	ga_s2am_ard_3-2-1_56JML_2022-07-04_final
2022-07-05 09:25:38	ga_s2am_ard_3-2-1_56JML_2022-07-04_final
2022-07-08 09:35:34	ga_s2am_ard_3-2-1_56JML_2022-07-08_final
2022-07-15 09:25:37	ga_s2am_ard_3-2-1_56JML_2022-07-14_final
2022-07-18 09:35:33	ga_s2am_ard_3-2-1_56JML_2022-07-18_final
2022-07-25 09:25:35	ga_s2am_ard_3-2-1_56JML_2022-07-24_final
2022-07-28 09:35:30	ga_s2am_ard_3-2-1_56JML_2022-07-28_final
2022-08-04 09:25:36	ga_s2am_ard_3-2-1_56JML_2022-08-03_final
2022-08-07 09:35:32	ga_s2am_ard_3-2-1_56JML_2022-08-07_final
2022-08-14 09:25:37	ga_s2am_ard_3-2-1_56JML_2022-08-13_final
2022-08-17 09:35:33	ga_s2am_ard_3-2-1_56JML_2022-08-17_final
2022-08-17 09:35:40	ga_s2am_ard_3-2-1_56JML_2022-08-17_final
2022-08-24 09:25:38	ga_s2am_ard_3-2-1_56JML_2022-08-23_final.stac-item
2022-09-03 09:25:37	ga_s2am_ard_3-2-1_56JML_2022-09-02_final.stac-item
2022-09-06 09:35:32	ga_s2am_ard_3-2-1_56JML_2022-09-06_final.stac-item
2022-09-13 09:25:35	ga_s2am_ard_3-2-1_56JML_2022-09-12_final.stac-item
2022-09-16 09:35:30	ga_s2am_ard_3-2-1_56JML_2022-09-16_final.stac-item
2022-09-23 09:25:32	ga_s2am_ard_3-2-1_56JML_2022-09-22_final.stac-item
2022-09-26 09:35:28	ga_s2am_ard_3-2-1_56JML_2022-09-26_final.stac-item
2022-10-03 09:25:32	ga_s2am_ard_3-2-1_56JML_2022-10-02_final.stac-item
2022-10-06 09:35:28	ga_s2am_ard_3-2-1_56JML_2022-10-06_final.stac-item
2022-10-13 09:25:30	ga_s2am_ard_3-2-1_56JML_2022-10-12_final.stac-item
2022-10-16 09:35:25	ga_s2am_ard_3-2-1_56JML_2022-10-16_final.stac-item
2022-10-26 09:35:24	ga_s2am_ard_3-2-1_56JML_2022-10-26_final.stac-item
2022-11-02 09:25:29	ga_s2am_ard_3-2-1_56JML_2022-11-01_final.stac-item
2022-11-05 09:35:25	ga_s2am_ard_3-2-1_56JML_2022-11-05_final.stac-item
2022-11-12 09:25:28	ga_s2am_ard_3-2-1_56JML_2022-11-11_final.stac-item
2022-11-15 09:35:23	ga_s2am_ard_3-2-1_56JML_2022-11-15_final.stac-item
2022-11-22 09:25:25	ga_s2am_ard_3-2-1_56JML_2022-11-21_final.stac-item
2022-11-25 09:35:20	ga_s2am_ard_3-2-1_56JML_2022-11-25_final.stac-item
2022-12-02 09:25:25	ga_s2am_ard_3-2-1_56JML_2022-12-01_final.stac-item
2022-12-05 09:35:21	ga_s2am_ard_3-2-1_56JML_2022-12-05_final.stac-item
2022-12-12 09:25:25	ga_s2am_ard_3-2-1_56JML_2022-12-11_final.stac-item
2022-12-15 09:35:21	ga_s2am_ard_3-2-1_56JML_2022-12-15_final.stac-item
2022-12-22 09:25:23	ga_s2am_ard_3-2-1_56JML_2022-12-21_final.stac-item
2023-01-01 09:25:24	ga_s2am_ard_3-2-1_56JML_2022-12-31_final.stac-item
2023-01-04 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-01-04_final.stac-item
2023-01-11 09:25:23	ga_s2am_ard_3-2-1_56JML_2023-01-10_final.stac-item
2023-01-14 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-01-14_final.stac-item
2023-01-21 09:25:20	ga_s2am_ard_3-2-1_56JML_2023-01-20_final.stac-item
2023-01-24 09:35:17	ga_s2am_ard_3-2-1_56JML_2023-01-24_final.stac-item
2023-01-31 09:25:23	ga_s2am_ard_3-2-1_56JML_2023-01-30_final.stac-item
2023-02-03 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-02-03_final.stac-item
2023-02-10 09:25:24	ga_s2am_ard_3-2-1_56JML_2023-02-09_final.stac-item
2023-02-13 09:35:19	ga_s2am_ard_3-2-1_56JML_2023-02-13_final.stac-item
2023-02-23 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-02-23_final.stac-item
2023-03-02 09:25:22	ga_s2am_ard_3-2-1_56JML_2023-03-01_final.stac-item
2023-03-05 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-03-05_final.stac-item
2023-03-12 09:25:21	ga_s2am_ard_3-2-1_56JML_2023-03-11_final.stac-item
2023-03-15 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-03-15_final.stac-item
2023-03-22 09:25:24	ga_s2am_ard_3-2-1_56JML_2023-03-21_final.stac-item
2023-03-25 09:35:19	ga_s2am_ard_3-2-1_56JML_2023-03-25_final.stac-item
2023-04-01 09:25:24	ga_s2am_ard_3-2-1_56JML_2023-03-31_final.stac-item
2023-04-04 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-04-04_final.stac-item
2023-04-11 09:25:25	ga_s2am_ard_3-2-1_56JML_2023-04-10_final.stac-item
2023-04-14 09:35:21	ga_s2am_ard_3-2-1_56JML_2023-04-14_final.stac-item
2023-04-21 09:25:23	ga_s2am_ard_3-2-1_56JML_2023-04-20_final.stac-item
2023-04-24 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-04-24_final.stac-item
2023-05-01 09:25:25	ga_s2am_ard_3-2-1_56JML_2023-04-30_final.stac-item
2023-05-04 09:35:21	ga_s2am_ard_3-2-1_56JML_2023-05-04_final.stac-item
2023-05-11 09:25:24	ga_s2am_ard_3-2-1_56JML_2023-05-10_final.stac-item
2023-05-14 09:35:21	ga_s2am_ard_3-2-1_56JML_2023-05-14_final.stac-item
2023-05-21 09:25:28	ga_s2am_ard_3-2-1_56JML_2023-05-20_final.stac-item
2023-05-24 09:35:24	ga_s2am_ard_3-2-1_56JML_2023-05-24_final.stac-item
2023-05-31 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-05-30_final.stac-item
2023-06-03 09:35:25	ga_s2am_ard_3-2-1_56JML_2023-06-03_final.stac-item
2023-06-10 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-06-09_final.stac-item
2023-06-13 09:35:24	ga_s2am_ard_3-2-1_56JML_2023-06-13_final.stac-item
2023-06-13 09:35:32	ga_s2am_ard_3-2-1_56JML_2023-06-13_final.stac-item
2023-06-20 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-06-19_final.stac-item
2023-06-23 09:35:27	ga_s2am_ard_3-2-1_56JML_2023-06-23_final.stac-item
2023-06-30 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-06-29_final.stac-item
2023-07-03 09:35:26	ga_s2am_ard_3-2-1_56JML_2023-07-03_final.stac-item
2023-07-10 09:25:30	ga_s2am_ard_3-2-1_56JML_2023-07-09_final.stac-item
2023-07-13 09:35:26	ga_s2am_ard_3-2-1_56JML_2023-07-13_final.stac-item
2023-07-20 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-07-19_final.stac-item
2023-07-23 09:35:25	ga_s2am_ard_3-2-1_56JML_2023-07-23_final.stac-item
2023-07-30 09:25:30	ga_s2am_ard_3-2-1_56JML_2023-07-29_final.stac-item
2023-08-02 09:35:21	ga_s2am_ard_3-2-1_56JML_2023-08-02_final.stac-item
2023-08-02 09:35:27	ga_s2am_ard_3-2-1_56JML_2023-08-02_final.stac-item
2023-08-09 09:25:29	ga_s2am_ard_3-2-1_56JML_2023-08-08_final.stac-item
2023-08-12 09:35:26	ga_s2am_ard_3-2-1_56JML_2023-08-12_final.stac-item
2023-08-19 09:25:31	ga_s2am_ard_3-2-1_56JML_2023-08-18_final.stac-item
2023-08-22 09:35:27	ga_s2am_ard_3-2-1_56JML_2023-08-22_final.stac-item
2023-08-29 09:25:31	ga_s2am_ard_3-2-1_56JML_2023-08-28_final.stac-item
2023-09-01 09:35:26	ga_s2am_ard_3-2-1_56JML_2023-09-01_final.stac-item
2023-09-08 09:25:30	ga_s2am_ard_3-2-1_56JML_2023-09-07_final.stac-item
2023-09-11 09:35:22	ga_s2am_ard_3-2-1_56JML_2023-09-11_final.stac-item
2023-09-11 09:35:28	ga_s2am_ard_3-2-1_56JML_2023-09-11_final.stac-item
2023-09-21 09:35:23	ga_s2am_ard_3-2-1_56JML_2023-09-21_final.stac-item
2023-10-01 09:35:23	ga_s2am_ard_3-2-1_56JML_2023-10-01_final.stac-item
2023-10-11 09:35:19	ga_s2am_ard_3-2-1_56JML_2023-10-11_final.stac-item
2023-10-21 09:35:21	ga_s2am_ard_3-2-1_56JML_2023-10-21_final.stac-item
2023-10-31 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-10-31_final.stac-item
2023-11-10 09:35:20	ga_s2am_ard_3-2-1_56JML_2023-11-10_final.stac-item
2023-11-20 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-11-20_final.stac-item
2023-12-10 09:35:16	ga_s2am_ard_3-2-1_56JML_2023-12-10_final.stac-item
2023-12-20 09:35:17	ga_s2am_ard_3-2-1_56JML_2023-12-20_final.stac-item
2023-12-30 09:35:18	ga_s2am_ard_3-2-1_56JML_2023-12-30_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

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