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
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HLK_2015-10-05_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKS_2016-05-05_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGP_2016-05-15_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HQJ_2016-06-18_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-09-25_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JGL_2016-11-04_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLG_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HNK_2016-11-28_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKQ_2016-12-21_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPK_2016-12-22_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNK_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPK_2017-02-03_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQK_2017-03-05_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGM_2017-05-13_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-06-02_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HMJ_2017-06-13_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HPH_2017-06-13_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-06-19_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNK_2017-10-11_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLM_2017-11-26_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KHP_2018-01-25_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNG_2018-02-08_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HPJ_2018-02-28_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLH_2018-03-03_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-03-29_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQJ_2018-05-16_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMK_2018-06-18_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGP_2018-07-27_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-09-12_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-10-16_final.stac-item
2018-11-14 12:14:36	ga_s2am_ard_3-2-1_49JGN_2018-11-14_final
2018-11-25 11:46:54	ga_s2am_ard_3-2-1_50HPH_2018-11-25_final
2019-01-03 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-01-03_final
2019-01-14 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-01-14_final.stac-item
2019-02-13 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2019-02-13_final
2019-05-14 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-05-14_final
2019-07-16 11:56:31	ga_s2am_ard_3-2-1_50JLL_2019-07-16_final
2019-08-21 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-08-21_final
2019-11-13 11:56:28	ga_s2am_ard_3-2-1_50JLL_2019-11-13_final
2019-11-16 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-11-16_final
2019-12-16 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-16_final
2019-12-30 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2019-12-30_final
2020-01-15 12:05:46	ga_s2am_ard_3-2-1_50JLN_2020-01-15_final
2020-01-25 12:04:36	ga_s2am_ard_3-2-1_50JKT_2020-01-25_final
2020-02-04 12:05:43	ga_s2am_ard_3-2-1_50JLN_2020-02-04_final
2020-03-02 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-02_final.stac-item
2020-04-11 11:56:24	ga_s2am_ard_3-2-1_50JLL_2020-04-11_final
2020-06-04 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-04_final.stac-item
2020-08-19 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-08-19_final
2020-09-14 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-09-14_final
2020-09-21 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-09-21_final
2020-10-31 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-10-31_final
2020-12-04 11:47:01	ga_s2am_ard_3-2-1_50HPH_2020-12-04_final
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final
2021-01-03 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-03_final
2021-02-01 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-02-01_final
2021-03-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-13_final
2021-03-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-03-21_final.stac-item
2021-04-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-04-03_final
2021-04-16 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-16_final
2021-07-25 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-07-25_final
2021-08-17 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-17_final
2021-09-03 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-09-03_final
2021-09-29 12:14:02	ga_s2am_ard_3-2-1_49KGR_2021-09-29_final
2021-10-23 11:56:45	ga_s2am_ard_3-2-1_50HLK_2021-10-23_final
2021-12-18 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-12-18_final
2021-12-26 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-12-26_final
2021-12-29 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-12-29_final
2022-01-18 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2022-01-18_final
2022-02-03 12:05:51	ga_s2am_ard_3-2-1_50JLN_2022-02-03_final
2022-02-17 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-02-17_final
2022-05-04 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-05-04_final
2022-05-08 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-05-08_final
2022-05-11 11:57:24	ga_s2am_ard_3-2-1_50HMG_2022-05-11_final.stac-item
2022-05-31 11:56:19	ga_s2am_ard_3-2-1_50JLM_2022-05-31_final
2022-06-24 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-06-24_final
2022-07-04 11:37:20	ga_s2am_ard_3-2-1_50HPH_2022-07-04_final
2022-12-10 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-12-10_final.stac-item
2023-01-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-01-23_final.stac-item
2023-01-29 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-01-29_final.stac-item
2023-02-05 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-02-05_final.stac-item
2023-02-21 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-02-21_final.stac-item
2023-05-19 12:04:48	ga_s2am_ard_3-2-1_49JGN_2023-05-19_final.stac-item
2023-07-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-07-18_final.stac-item
2023-08-11 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-08-11_final.stac-item
2023-08-14 11:56:02	ga_s2am_ard_3-2-1_50JLN_2023-08-14_final.stac-item
2023-10-20 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-10-20_final.stac-item
2023-11-25 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-25_final.stac-item
2023-11-25 12:04:41	ga_s2am_ard_3-2-1_49JGN_2023-11-25_final.stac-item
2023-11-29 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2023-11-29_final.stac-item
2024-01-11 11:57:17	ga_s2am_ard_3-2-1_50HLG_2024-01-11_final.stac-item
2024-01-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2024-01-27_final.stac-item
2024-02-20 11:57:18	ga_s2am_ard_3-2-1_50HMG_2024-02-20_final.stac-item
2024-03-11 11:56:44	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-04-07 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2024-04-07_final.stac-item
2024-04-27 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2024-04-27_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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