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_49KGR_2015-10-21_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KMC_2015-12-04_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGK_2016-01-06_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGR_2016-01-09_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JMS_2016-02-05_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_50KKU_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMS_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50KNB_2016-02-15_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHP_2016-03-09_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KLC_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KNB_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLT_2016-04-25_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2016-05-12_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHR_2016-05-18_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-08-16 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-08-16_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLS_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KMA_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-12-14_final.stac-item
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HMK_2017-01-27_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-12_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_50KKA_2017-02-12_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KMC_2017-06-19_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HLH_2017-07-16_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-10-10_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2017-11-19_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGJ_2018-04-15_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQL_2018-06-08_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JPL_2018-08-24_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-11-01_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KNC_2018-11-01_final
2019-01-13 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-01-13_final
2019-01-20 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-01-20_final
2019-01-27 11:52:34	ga_s2am_ard_3-2-1_50KPF_2019-01-27_final.stac-item
2019-02-06 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-02-06_final
2019-02-09 12:03:30	ga_s2am_ard_3-2-1_50KNB_2019-02-09_final
2019-02-19 12:04:53	ga_s2am_ard_3-2-1_50JKS_2019-02-19_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-03-28 11:53:20	ga_s2am_ard_3-2-1_50KPC_2019-03-28_final
2019-04-03 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-04-03_final
2019-04-07 11:56:31	ga_s2am_ard_3-2-1_50HNK_2019-04-07_final
2019-05-03 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-05-03_final
2019-09-04 11:56:22	ga_s2am_ard_3-2-1_50JML_2019-09-04_final
2019-11-13 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-11-13_final.stac-item
2019-11-20 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-11-20_final
2019-11-23 11:53:31	ga_s2am_ard_3-2-1_50KMC_2019-11-23_final
2019-11-29 12:14:26	ga_s2am_ard_3-2-1_49KGP_2019-11-29_final
2020-02-11 11:53:17	ga_s2am_ard_3-2-1_50KNC_2020-02-11_final
2020-03-12 11:53:51	ga_s2am_ard_3-2-1_50KNA_2020-03-12_final
2020-03-25 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2020-03-25_final.stac-item
2020-05-18 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-05-18_final.stac-item
2020-07-26 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-07-26_final
2020-08-22 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-08-22_final
2020-09-01 12:03:49	ga_s2am_ard_3-2-1_50KNA_2020-09-01_final
2020-09-18 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-09-18_final
2020-11-13 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-11-13_final
2020-12-04 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-04_final
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final.stac-item
2021-03-03 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-03-03_final
2021-03-17 11:53:30	ga_s2am_ard_3-2-1_50KMC_2021-03-17_final
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_50KKA_2021-04-09_final
2021-07-31 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-07-31_final
2021-08-24 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-08-24_final
2021-08-28 11:36:28	ga_s2am_ard_3-2-1_50JPL_2021-08-28_final
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final
2021-12-02 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-02_final
2021-12-29 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-12-29_final
2022-03-09 11:47:28	ga_s2am_ard_3-2-1_50HNG_2022-03-09_final.stac-item
2022-04-01 11:56:39	ga_s2am_ard_3-2-1_50HMK_2022-04-01_final
2022-04-11 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-04-11_final
2022-05-08 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-05-08_final
2022-06-04 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-06-04_final
2022-11-04 11:47:21	ga_s2am_ard_3-2-1_50HPG_2022-11-04_final.stac-item
2023-02-05 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-02-05_final.stac-item
2023-02-09 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-02-09_final.stac-item
2023-03-27 11:56:20	ga_s2am_ard_3-2-1_50JML_2023-03-27_final.stac-item
2023-08-04 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-08-04_final.stac-item
2023-10-27 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-10-27_final.stac-item
2023-11-15 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-11-15_final.stac-item
2023-12-06 11:35:44	ga_s2am_ard_3-2-1_50JQN_2023-12-06_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_2023-12-06_final.stac-item
2023-12-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2023-12-08_final.stac-item
2023-12-09 11:47:11	ga_s2am_ard_3-2-1_50HPG_2023-12-09_final.stac-item
2024-01-04 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2024-01-04_final.stac-item
2024-02-13 12:05:47	ga_s2am_ard_3-2-1_50JKN_2024-02-13_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final.stac-item
2024-03-21 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-03-21_final.stac-item
2024-03-21 11:56:45	ga_s2am_ard_3-2-1_50HLK_2024-03-21_final.stac-item
2024-03-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final.stac-item
2024-03-28 11:46:53	ga_s2am_ard_3-2-1_50HQH_2024-03-28_final.stac-item
2024-04-03 12:03:47	ga_s2am_ard_3-2-1_50KLA_2024-04-03_final.stac-item
2024-04-17 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-04-17_final.stac-item
2024-04-20 11:57:23	ga_s2am_ard_3-2-1_50HMG_2024-04-20_final.stac-item
2024-04-26 12:13:56	ga_s2am_ard_3-2-1_50KKA_2024-04-26_final.stac-item
2024-04-30 11:56:01	ga_s2am_ard_3-2-1_50JLN_2024-04-30_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

Other products

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