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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMK_2015-11-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNJ_2015-11-21_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HPJ_2015-11-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKR_2016-01-16_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHR_2016-03-09_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JLN_2016-04-15_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-07-14_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-09-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLN_2016-10-22_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGR_2016-11-04_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMH_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-21_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-01-20_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMG_2017-02-03_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HQH_2017-02-13_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HNG_2017-03-12_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNH_2017-04-14_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JLL_2017-04-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLP_2017-06-06_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGN_2017-06-29_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JKP_2017-08-05_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JLM_2017-08-18_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLP_2017-09-14_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLP_2017-10-24_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMJ_2017-11-20_final
2017-11-23 11:56:04	ga_s2am_ard_3-2-1_50JLL_2017-11-23_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JKQ_2017-11-26_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JKR_2017-12-06_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMJ_2017-12-30_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMH_2018-02-01_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPH_2018-02-15_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-04-08_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HNG_2018-05-16_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNJ_2018-05-19_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HMK_2018-07-28_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HLG_2018-08-27_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMJ_2018-10-09_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-15_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQK_2018-11-02_final
2018-12-21 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-21_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-02-03 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2019-02-03_final
2019-03-15 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-03-15_final
2019-04-10 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-04-10_final.stac-item
2019-08-15 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-08-15_final
2019-08-28 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-08-28_final
2019-09-07 12:06:03	ga_s2am_ard_3-2-1_50JLM_2019-09-07_final
2019-10-24 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-24_final
2019-11-03 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-11-03_final
2019-11-26 12:04:43	ga_s2am_ard_3-2-1_50JKT_2019-11-26_final
2019-12-27 11:37:05	ga_s2am_ard_3-2-1_50HPH_2019-12-27_final
2020-01-19 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-01-19_final
2020-01-29 11:46:55	ga_s2am_ard_3-2-1_50HPH_2020-01-29_final
2020-02-01 11:56:29	ga_s2am_ard_3-2-1_50HMK_2020-02-01_final
2020-02-04 12:04:49	ga_s2am_ard_3-2-1_50JKS_2020-02-04_final
2020-02-18 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2020-02-18_final
2020-07-30 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-07-30_final
2020-08-19 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-19_final
2020-09-11 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2020-09-11_final
2020-09-18 11:55:46	ga_s2am_ard_3-2-1_50JLP_2020-09-18_final
2020-09-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-09-25_final
2021-01-09 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-01-09_final
2021-05-09 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-05-09_final
2021-12-09 11:47:19	ga_s2am_ard_3-2-1_50HNG_2021-12-09_final.stac-item
2021-12-22 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-12-22_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-12-25_final
2022-01-15 11:36:35	ga_s2am_ard_3-2-1_50HQK_2022-01-15_final
2022-01-24 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2022-01-24_final
2022-02-06 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2022-02-06_final
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-05-04 12:04:47	ga_s2am_ard_3-2-1_50JKT_2022-05-04_final
2022-06-30 11:55:59	ga_s2am_ard_3-2-1_50JKP_2022-06-30_final
2022-10-08 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-10-08_final.stac-item
2022-11-07 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-11-07_final.stac-item
2022-12-24 11:46:28	ga_s2am_ard_3-2-1_50HQK_2022-12-24_final.stac-item
2023-01-03 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-01-03_final.stac-item
2023-01-13 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-01-13_final.stac-item
2023-01-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2023-01-23_final.stac-item
2023-02-12 11:46:28	ga_s2am_ard_3-2-1_50HQK_2023-02-12_final.stac-item
2023-03-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2023-03-10_final.stac-item
2023-03-14 11:46:37	ga_s2am_ard_3-2-1_50HMK_2023-03-14_final.stac-item
2023-03-20 12:04:32	ga_s2am_ard_3-2-1_50JKT_2023-03-20_final.stac-item
2023-03-20 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-03-20_final.stac-item
2023-07-28 12:04:33	ga_s2am_ard_3-2-1_49KHP_2023-07-28_final.stac-item
2023-07-28 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2023-07-28_final.stac-item
2023-08-21 11:47:27	ga_s2am_ard_3-2-1_50HNG_2023-08-21_final.stac-item
2023-09-27 11:36:36	ga_s2am_ard_3-2-1_50HQK_2023-09-27_final.stac-item
2023-10-07 11:37:27	ga_s2am_ard_3-2-1_50HNG_2023-10-07_final.stac-item
2023-12-19 11:46:37	ga_s2am_ard_3-2-1_50HMK_2023-12-19_final.stac-item
2024-01-08 11:46:26	ga_s2am_ard_3-2-1_50HQK_2024-01-08_final.stac-item
2024-01-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2024-01-15_final.stac-item
2024-01-17 12:14:37	ga_s2am_ard_3-2-1_49JFN_2024-01-17_final.stac-item
2024-01-24 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2024-01-24_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_final.stac-item
2024-03-01 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2024-03-01_final.stac-item
2024-03-11 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-03-11_final.stac-item
2024-03-28 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2024-03-28_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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