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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGQ_2015-10-08_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHP_2015-10-21_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGL_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGP_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHP_2015-10-28_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLK_2016-01-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLH_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHR_2016-03-09_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-06-17_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HMK_2016-06-21_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HNK_2016-06-21_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-22_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-04-03_final.stac-item
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-11-09_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-14_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2018-12-14 12:14:18	ga_s2am_ard_3-2-1_49KGP_2018-12-14_final
2019-01-20 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-01-20_final
2019-01-27 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-01-27_final
2019-02-09 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-02-09_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-02-19_final
2019-03-21 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-03-21_final
2019-05-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-03_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-05-17 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-17_final
2019-07-29 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2019-07-29_final
2019-09-17 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2019-09-17_final
2019-09-20 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-09-20_final
2019-09-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-09-30_final
2019-09-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2019-09-30_final
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final
2020-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-05-11_final
2020-06-07 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-06-07_final
2020-06-20 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-20_final
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-16_final
2020-07-20 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-07-20_final
2020-07-20 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-20_final
2020-08-15 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-15_final
2020-09-04 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-09-04_final
2020-09-18 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-09-18_final
2020-09-28 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-09-28_final
2020-10-01 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-01_final
2020-10-11 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-10-11_final
2021-01-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-01-29_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-09-10 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-09-10_final
2021-10-26 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-26_final
2021-10-30 11:47:11	ga_s2am_ard_3-2-1_50HNH_2021-10-30_final
2021-12-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-12-12_final
2021-12-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-12_final
2021-12-22 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-12-22_final
2022-01-11 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-11_final
2022-03-09 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-03-09_final
2022-03-09 11:47:21	ga_s2am_ard_3-2-1_50HPG_2022-03-09_final.stac-item
2022-03-09 11:47:23	ga_s2am_ard_3-2-1_50HNG_2022-03-09_final.stac-item
2022-04-11 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-11_final
2022-04-15 11:37:29	ga_s2am_ard_3-2-1_50HNG_2022-04-15_final.stac-item
2022-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-05-18_final
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final
2022-05-21 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-05-21_final
2022-06-17 11:47:25	ga_s2am_ard_3-2-1_50HLH_2022-06-17_final
2022-07-04 11:37:20	ga_s2am_ard_3-2-1_50HPH_2022-07-04_final
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-10-21 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-10-21_final.stac-item
2022-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-11-10_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2022-12-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-12-04_final.stac-item
2023-01-06 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-01-06_final.stac-item
2023-01-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2023-01-22_final.stac-item
2023-01-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2023-01-26_final.stac-item
2023-06-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-12_final.stac-item
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final.stac-item
2023-07-08 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-07-08_final.stac-item
2023-08-01 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-01_final.stac-item
2023-09-17 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-09-17_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final.stac-item
2023-11-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-05_final.stac-item
2023-11-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-12_final.stac-item
2023-12-16 11:37:17	ga_s2am_ard_3-2-1_50HPG_2023-12-16_final.stac-item
2023-12-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-12-22_final.stac-item
2024-01-01 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-01-01_final.stac-item
2024-01-07 12:13:54	ga_s2am_ard_3-2-1_49KGR_2024-01-07_final.stac-item
2024-01-11 11:56:25	ga_s2am_ard_3-2-1_50HNK_2024-01-11_final.stac-item
2024-01-11 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2024-01-11_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final.stac-item
2024-03-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-11_final.stac-item
2024-03-31 11:56:29	ga_s2am_ard_3-2-1_50HNK_2024-03-31_final.stac-item
2024-04-03 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-04-03_final.stac-item
2024-04-06 12:13:56	ga_s2am_ard_3-2-1_49KGR_2024-04-06_final.stac-item
2024-04-26 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2024-04-26_final.stac-item
2024-05-10 11:56:43	ga_s2am_ard_3-2-1_50HLK_2024-05-10_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

Other products

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