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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPJ_2016-04-19_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGN_2016-09-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPH_2016-12-15_final
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HPJ_2017-03-05_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGJ_2017-03-11_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2017-11-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-11-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2017-11-19_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2019-01-13 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2019-01-13_final
2019-01-21 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-01-21_final
2019-01-30 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-01-30_final
2019-01-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2019-01-30_final
2019-02-09 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-09_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-02-19_final
2019-02-19 12:04:27	ga_s2am_ard_3-2-1_49KGP_2019-02-19_final
2019-03-05 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-03-05_final
2019-04-10 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-04-10_final
2019-05-17 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-17_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-08-01 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-08-01_final
2019-11-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-11-26_final
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2020-01-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2020-01-28_final
2020-01-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2020-01-28_final
2020-05-15 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-05-15_final
2020-06-20 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-20_final
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final
2020-08-19 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-08-19_final
2020-10-01 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-01_final
2020-12-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-12-10_final
2021-01-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-29_final
2021-01-29 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-01-29_final
2021-05-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2021-05-10_final
2021-10-17 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-17_final
2021-10-30 11:47:07	ga_s2am_ard_3-2-1_50HPH_2021-10-30_final
2021-12-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-12-12_final
2022-02-17 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-02-17_final
2022-02-20 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-02-20_final
2022-03-16 11:37:07	ga_s2am_ard_3-2-1_50HQH_2022-03-16_final
2022-04-25 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-04-25_final
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-05-15 11:36:42	ga_s2am_ard_3-2-1_50HPK_2022-05-15_final
2022-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-05-18_final
2022-05-25 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-05-25_final
2022-06-13 12:04:45	ga_s2am_ard_3-2-1_49KGP_2022-06-13_final
2022-06-20 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-06-20_final
2022-06-27 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-06-27_final
2022-06-30 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-06-30_final
2022-06-30 11:57:19	ga_s2am_ard_3-2-1_50HMH_2022-06-30_final
2022-08-03 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-08-03_final
2022-09-11 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-09-11_final.stac-item
2022-10-21 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-10-21_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-11-20 12:05:30	ga_s2am_ard_3-2-1_49JGK_2022-11-20_final.stac-item
2022-11-24 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-11-24_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2022-12-27_final.stac-item
2023-01-13 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-01-13_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final.stac-item
2023-03-07 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-03-07_final.stac-item
2023-04-20 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-04-20_final.stac-item
2023-04-30 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-04-30_final.stac-item
2023-05-20 11:36:40	ga_s2am_ard_3-2-1_50HPK_2023-05-20_final.stac-item
2023-06-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-25_final.stac-item
2023-07-08 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-07-08_final.stac-item
2023-07-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-07-19_final.stac-item
2023-08-08 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-08-08_final.stac-item
2023-08-18 11:36:44	ga_s2am_ard_3-2-1_50HPK_2023-08-18_final.stac-item
2023-08-18 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-18_final.stac-item
2023-08-21 11:47:08	ga_s2am_ard_3-2-1_50HPH_2023-08-21_final.stac-item
2023-08-21 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-21_final.stac-item
2023-08-21 11:47:16	ga_s2am_ard_3-2-1_50HMH_2023-08-21_final.stac-item
2023-08-31 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-31_final.stac-item
2023-10-07 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-10-07_final.stac-item
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final.stac-item
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final.stac-item
2023-11-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2023-11-28_final.stac-item
2023-12-05 12:05:22	ga_s2am_ard_3-2-1_49JGK_2023-12-05_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_2023-12-06_final.stac-item
2023-12-12 11:56:35	ga_s2am_ard_3-2-1_50HLK_2023-12-12_final.stac-item
2023-12-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-12-22_final.stac-item
2024-01-11 11:56:25	ga_s2am_ard_3-2-1_50HNK_2024-01-11_final.stac-item
2024-01-21 11:56:32	ga_s2am_ard_3-2-1_50HLK_2024-01-21_final.stac-item
2024-02-07 11:46:34	ga_s2am_ard_3-2-1_50HPK_2024-02-07_final.stac-item
2024-02-14 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2024-02-14_final.stac-item
2024-02-14 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-02-14_final.stac-item
2024-02-17 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2024-02-17_final.stac-item
2024-03-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-17_final.stac-item
2024-03-21 11:56:36	ga_s2am_ard_3-2-1_50HMK_2024-03-21_final.stac-item
2024-03-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final.stac-item
2024-03-31 11:56:29	ga_s2am_ard_3-2-1_50HNK_2024-03-31_final.stac-item
2024-04-20 11:57:13	ga_s2am_ard_3-2-1_50HLH_2024-04-20_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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