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
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGL_2016-01-19_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2016-04-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HPH_2016-07-15_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQH_2016-10-03_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGN_2016-11-11_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLG_2016-12-25_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPH_2017-03-12_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2017-11-06_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHR_2017-12-16_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HPG_2018-01-06_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-27_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-05-12_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMG_2018-05-19_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMK_2018-06-01_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HLG_2018-06-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMK_2018-06-08_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-06-14_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMH_2018-06-21_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLH_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMG_2018-07-11_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMJ_2018-07-31_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final
2018-12-14 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2018-12-14_final
2018-12-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-12-25_final.stac-item
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-05-24 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-05-24_final
2019-06-13 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-13_final
2019-08-18 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-08-18_final
2019-08-29 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-08-29_final.stac-item
2019-11-16 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-11-16_final
2019-11-30 11:47:27	ga_s2am_ard_3-2-1_50HLG_2019-11-30_final.stac-item
2019-12-26 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-26_final
2019-12-27 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-12-27_final
2019-12-29 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-12-29_final
2020-03-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-18_final
2020-03-26 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-26_final
2020-04-18 11:46:38	ga_s2am_ard_3-2-1_50HNK_2020-04-18_final
2020-04-28 11:47:27	ga_s2am_ard_3-2-1_50HMG_2020-04-28_final.stac-item
2020-05-05 11:37:30	ga_s2am_ard_3-2-1_50HNG_2020-05-05_final.stac-item
2020-07-03 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-03_final.stac-item
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final
2020-07-10 11:57:24	ga_s2am_ard_3-2-1_50HMG_2020-07-10_final.stac-item
2020-07-13 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-07-13_final
2020-07-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-07-24_final.stac-item
2020-08-12 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-08-12_final
2020-08-19 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-08-19_final
2020-08-25 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-08-25_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-11-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2020-11-10_final
2020-12-23 12:13:57	ga_s2am_ard_3-2-1_49KGR_2020-12-23_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-02_final
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-16 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-16_final
2021-03-04 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-04_final.stac-item
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final
2021-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-05-13_final.stac-item
2021-05-20 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-05-20_final.stac-item
2021-06-25 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-06-25_final
2021-06-25 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-10-06 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-06_final.stac-item
2021-11-05 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-11-05_final
2021-11-12 11:55:48	ga_s2am_ard_3-2-1_50JKP_2021-11-12_final
2021-12-15 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-12-15_final
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-05-01 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-05-01_final.stac-item
2022-06-03 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-06-03_final
2022-09-18 13:31:43	ga_s2am_ard_3-2-1_46LHN_2022-09-18_interim.stac-item
2022-10-22 11:37:28	ga_s2am_ard_3-2-1_50HNG_2022-10-22_final.stac-item
2022-10-31 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-10-31_final.stac-item
2022-11-24 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-11-24_final.stac-item
2022-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2022-12-21_final.stac-item
2022-12-23 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-23_final.stac-item
2023-02-22 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-22_final.stac-item
2023-06-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-08_final.stac-item
2023-06-15 11:57:15	ga_s2am_ard_3-2-1_50HMH_2023-06-15_final.stac-item
2023-07-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-07-19_final.stac-item
2023-08-21 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-21_final.stac-item
2023-10-03 11:56:01	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-11-29 11:47:20	ga_s2am_ard_3-2-1_50HLG_2023-11-29_final.stac-item
2023-12-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_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
2024-03-01 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-01_final.stac-item
2024-03-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-11_final.stac-item
2024-04-14 11:37:28	ga_s2am_ard_3-2-1_50HNG_2024-04-14_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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