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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGQ_2015-10-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51KUS_2015-11-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KVT_2015-12-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JUN_2016-01-20_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51HXE_2016-01-24_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGQ_2016-02-08_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KNA_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KUS_2016-04-19_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JUF_2016-05-06_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKV_2016-05-18_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-06-07_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVD_2016-06-12_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-06-17_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50KQU_2016-10-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KWB_2016-12-12_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KLA_2016-12-21_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KNC_2016-12-21_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_50JPL_2017-03-02_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQJ_2017-03-05_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_50KKA_2017-03-14_final
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-03-24_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KLV_2017-04-10_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-23_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KWB_2017-05-24_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMH_2017-08-12_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQG_2017-08-19_final.stac-item
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGN_2018-01-18_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JVF_2018-02-02_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KQG_2018-06-11_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51JWL_2018-09-23_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUT_2018-10-06_final
2018-12-01 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-01_final
2018-12-15 11:42:19	ga_s2am_ard_3-2-1_51KVA_2018-12-15_final
2019-01-13 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-13_final
2019-01-17 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-01-17_final
2019-02-09 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-02-09_final
2019-02-22 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-22_final
2019-03-02 11:34:35	ga_s2am_ard_3-2-1_51JWM_2019-03-02_final
2019-03-22 11:33:14	ga_s2am_ard_3-2-1_51KVT_2019-03-22_final
2019-03-28 11:52:37	ga_s2am_ard_3-2-1_50KPF_2019-03-28_final.stac-item
2019-08-01 12:14:20	ga_s2am_ard_3-2-1_50KKV_2019-08-01_final
2019-09-04 11:53:10	ga_s2am_ard_3-2-1_50KRC_2019-09-04_final
2019-12-20 11:43:05	ga_s2am_ard_3-2-1_51KVT_2019-12-20_final
2020-07-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-07-26_final
2020-07-27 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-07-27_final
2020-08-10 11:26:50	ga_s2am_ard_3-2-1_51HVD_2020-08-10_final
2020-08-16 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-08-16_final
2020-08-16 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-16_final
2020-08-26 11:42:18	ga_s2am_ard_3-2-1_51KVB_2020-08-26_final
2020-08-30 11:24:12	ga_s2am_ard_3-2-1_51KWP_2020-08-30_final
2020-09-01 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-09-01_final
2020-09-04 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-04_final
2020-09-21 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-09-21_final
2020-09-22 11:32:34	ga_s2am_ard_3-2-1_51KWA_2020-09-22_final
2020-09-22 11:33:15	ga_s2am_ard_3-2-1_51KVT_2020-09-22_final
2020-10-04 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-05 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-05_final
2020-10-22 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-10-22_final
2020-11-11 11:33:05	ga_s2am_ard_3-2-1_51KVU_2020-11-11_final
2020-11-14 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-11-14_final
2021-02-28 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-02-28_final
2021-04-09 12:03:47	ga_s2am_ard_3-2-1_50KMA_2021-04-09_final
2021-07-19 11:33:52	ga_s2am_ard_3-2-1_51KUR_2021-07-19_final
2021-09-03 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-03_final
2021-10-27 11:33:53	ga_s2am_ard_3-2-1_51KUR_2021-10-27_final
2021-12-19 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-12-19_final.stac-item
2022-01-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-01-04_final
2022-01-12 11:24:16	ga_s2am_ard_3-2-1_51KWP_2022-01-12_final
2022-01-19 11:14:29	ga_s2am_ard_3-2-1_51JYN_2022-01-19_final
2022-02-14 11:33:30	ga_s2am_ard_3-2-1_51KVS_2022-02-14_final
2022-02-14 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-02-14_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-03-05_final
2022-03-09 11:46:57	ga_s2am_ard_3-2-1_50HQH_2022-03-09_final
2022-03-12 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-12_final
2022-03-12 11:56:30	ga_s2am_ard_3-2-1_50JLL_2022-03-12_final
2022-04-22 11:26:10	ga_s2am_ard_3-2-1_51JUG_2022-04-22_final
2022-05-25 11:33:38	ga_s2am_ard_3-2-1_51KVS_2022-05-25_final
2022-06-04 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2022-06-04_final
2022-06-30 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-06-30_final
2022-10-05 11:46:01	ga_s2am_ard_3-2-1_50JNN_2022-10-05_final.stac-item
2022-12-01 11:33:02	ga_s2am_ard_3-2-1_51KVU_2022-12-01_final.stac-item
2022-12-14 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-12-14_final.stac-item
2023-01-16 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-01-16_final.stac-item
2023-02-28 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-02-28_final.stac-item
2023-03-28 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-03-28_final.stac-item
2023-04-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-03_final.stac-item
2023-05-10 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-05-10_final.stac-item
2023-06-16 11:26:59	ga_s2am_ard_3-2-1_51HWC_2023-06-16_final.stac-item
2023-06-25 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-06-25_final.stac-item
2023-08-08 11:32:24	ga_s2am_ard_3-2-1_51KVB_2023-08-08_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-09 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-11-09_final.stac-item
2023-11-15 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-11-15_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-02-07 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-02-07_final.stac-item
2024-03-15 11:34:36	ga_s2am_ard_3-2-1_50JRT_2024-03-15_final.stac-item
2024-04-14 11:33:18	ga_s2am_ard_3-2-1_51KVT_2024-04-14_final.stac-item
2024-05-20 11:57:10	ga_s2am_ard_3-2-1_50HLH_2024-05-20_final.stac-item
2024-05-27 11:46:54	ga_s2am_ard_3-2-1_50HQH_2024-05-27_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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