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
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-02-27_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-03-19_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHS_2018-03-29_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-05-28_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-07_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHS_2018-09-05_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-09-25_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-15_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-25_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-11-04_final.stac-item
2018-11-24 12:13:32	ga_s2am_ard_3-2-1_49KHS_2018-11-24_final.stac-item
2018-12-04 12:13:31	ga_s2am_ard_3-2-1_49KHS_2018-12-04_final.stac-item
2018-12-14 12:13:31	ga_s2am_ard_3-2-1_49KHS_2018-12-14_final.stac-item
2018-12-24 12:13:32	ga_s2am_ard_3-2-1_49KHS_2018-12-24_final.stac-item
2019-01-13 12:13:35	ga_s2am_ard_3-2-1_49KHS_2019-01-13_final.stac-item
2019-01-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-01-23_final.stac-item
2019-02-12 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-02-12_final.stac-item
2019-03-04 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-03-04_final.stac-item
2019-03-14 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-03-14_final.stac-item
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-05-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-05-19_final.stac-item
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-05-29_final.stac-item
2021-06-08 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-06-08_final.stac-item
2021-06-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-06-28_final.stac-item
2021-07-18 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-18_final.stac-item
2021-07-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-28_final.stac-item
2021-08-07 12:03:47	ga_s2am_ard_3-2-1_49KHS_2021-08-07_final.stac-item
2021-08-17 12:03:47	ga_s2am_ard_3-2-1_49KHS_2021-08-17_final.stac-item
2021-09-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-09-16_final.stac-item
2021-09-26 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-09-26_final.stac-item
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2021-11-25 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-11-25_final.stac-item
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-02-03_final.stac-item
2022-03-25 12:03:47	ga_s2am_ard_3-2-1_49KHS_2022-03-25_final.stac-item
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-05-17 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-05-17_final.stac-item
2022-06-23 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-06-23_final.stac-item
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-08-02 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-08-02_final.stac-item
2022-08-22 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-08-22_final.stac-item
2022-09-01 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-09-01_final.stac-item
2022-09-01 12:04:11	ga_s2am_ard_3-2-1_49KHR_2022-09-01_final.stac-item
2022-09-11 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-09-11_final.stac-item
2022-09-11 12:04:10	ga_s2am_ard_3-2-1_49KHR_2022-09-11_final.stac-item
2022-10-01 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-10-01_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2022-10-11_final.stac-item
2022-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2022-10-11_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-10-21_final.stac-item
2022-10-21 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-10-21_final.stac-item
2022-10-31 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-10-31_final.stac-item
2022-11-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-11-10_final.stac-item
2022-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-11-10_final.stac-item
2022-11-20 12:03:45	ga_s2am_ard_3-2-1_49KHS_2022-11-20_final.stac-item
2022-11-20 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-11-20_final.stac-item
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-11-30_final.stac-item
2022-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-11-30_final.stac-item
2022-12-10 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-12-10_final.stac-item
2022-12-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-20_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2022-12-30 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-30_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final.stac-item
2023-01-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-01-09_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final.stac-item
2023-01-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-01-19_final.stac-item
2023-01-29 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-01-29_final.stac-item
2023-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-02-08_final.stac-item
2023-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-02-08_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-02-18_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-02-28_final.stac-item
2023-02-28 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-02-28_final.stac-item
2023-03-03 12:13:36	ga_s2am_ard_3-2-1_49KHS_2023-03-03_final.stac-item
2023-03-10 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-03-10_final.stac-item
2023-03-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-03-10_final.stac-item
2023-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-03-20_final.stac-item
2023-03-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-20_final.stac-item
2023-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-03-30_final.stac-item
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-30_final.stac-item
2023-04-09 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-04-09_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-09_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-04-19 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-04-19_final.stac-item
2023-04-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-04-29_final.stac-item
2023-04-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-29_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-05-09_final.stac-item
2023-05-19 12:03:46	ga_s2am_ard_3-2-1_49KHS_2023-05-19_final.stac-item
2023-05-19 12:04:01	ga_s2am_ard_3-2-1_49KHR_2023-05-19_final.stac-item
2023-05-29 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-05-29_final.stac-item
2023-05-29 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-05-29_final.stac-item
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-08_final.stac-item
2023-06-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-08_final.stac-item
2023-06-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-06-18_final.stac-item
2023-06-18 12:06:06	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-06-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-28_final.stac-item
2023-07-01 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-07-01_final.stac-item
2023-07-08 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-08_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_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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