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
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50JPQ_2017-04-14_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HPJ_2018-01-06_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPJ_2018-01-19_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPJ_2018-01-26_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPJ_2018-02-15_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPJ_2018-02-18_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HPJ_2018-02-25_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HPJ_2018-02-28_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HPJ_2018-03-10_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HPJ_2018-03-17_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HPJ_2018-03-20_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPJ_2018-03-30_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50HPJ_2018-04-06_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPJ_2018-04-16_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPJ_2018-04-19_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPJ_2018-04-29_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPJ_2018-05-06_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HPJ_2018-05-09_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPJ_2018-05-16_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPJ_2018-05-19_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPJ_2018-05-29_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HPJ_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPJ_2018-06-08_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPJ_2018-06-15_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPJ_2018-06-18_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-06-25_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPJ_2018-06-28_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPJ_2018-07-05_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPJ_2018-07-08_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-07-15_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HPJ_2018-07-18_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPJ_2018-07-28_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPJ_2018-08-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPJ_2018-08-07_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPJ_2018-08-14_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPJ_2018-08-17_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HPJ_2018-08-24_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPJ_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPJ_2018-09-06_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPJ_2018-09-13_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPJ_2018-09-23_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPJ_2018-09-26_final
2022-09-02 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-09-02_final.stac-item
2022-09-05 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-09-05_final.stac-item
2022-09-12 11:37:02	ga_s2am_ard_3-2-1_50HPJ_2022-09-12_final.stac-item
2022-09-15 11:46:58	ga_s2am_ard_3-2-1_50HPJ_2022-09-15_final.stac-item
2022-09-22 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-09-22_final.stac-item
2022-09-25 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-09-25_final.stac-item
2022-10-02 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-10-02_final.stac-item
2022-10-05 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-10-05_final.stac-item
2022-10-12 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-10-12_final.stac-item
2022-10-15 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-10-15_final.stac-item
2022-10-22 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2022-10-22_final.stac-item
2022-10-25 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-10-25_final.stac-item
2022-11-01 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-11-01_final.stac-item
2022-11-04 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-11-04_final.stac-item
2022-11-11 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-11-11_final.stac-item
2022-11-14 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-11-14_final.stac-item
2022-11-21 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-11-21_final.stac-item
2022-11-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-11-24_final.stac-item
2022-12-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-01_final.stac-item
2022-12-04 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-12-04_final.stac-item
2022-12-11 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-11_final.stac-item
2022-12-14 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-12-14_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2022-12-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2022-12-24_final.stac-item
2022-12-31 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2022-12-31_final.stac-item
2023-01-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-01-03_final.stac-item
2023-01-10 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-10_final.stac-item
2023-01-13 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-01-13_final.stac-item
2023-01-20 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-01-20_final.stac-item
2023-01-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2023-01-23_final.stac-item
2023-01-30 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-30_final.stac-item
2023-02-02 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-02-02_final.stac-item
2023-02-09 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-02-09_final.stac-item
2023-02-12 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2023-02-12_final.stac-item
2023-02-19 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-02-19_final.stac-item
2023-02-22 11:45:09	ga_s2am_ard_3-2-1_50JPQ_2023-02-22_final.stac-item
2023-02-22 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-02-22_final.stac-item
2023-03-01 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-03-01_final.stac-item
2023-03-04 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-04_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-03-14 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-14_final.stac-item
2023-03-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-03-21_final.stac-item
2023-03-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-24_final.stac-item
2023-03-31 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-03-31_final.stac-item
2023-04-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-03_final.stac-item
2023-04-10 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-04-10_final.stac-item
2023-04-13 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-04-13_final.stac-item
2023-04-20 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-04-20_final.stac-item
2023-04-23 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-23_final.stac-item
2023-04-30 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-04-30_final.stac-item
2023-05-03 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2023-05-03_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-08-11 11:46:16	ga_s2am_ard_3-2-1_50JPL_2023-08-11_final.stac-item
2024-02-17 11:45:30	ga_s2am_ard_3-2-1_50JPP_2024-02-17_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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