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
2016-01-23 11:56:39	ga_s2am_ard_3-2-1_50JLL_2016-01-23_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHR_2016-04-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQJ_2016-05-16_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2016-06-24_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-07-17_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-09-26_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49JGL_2016-11-14_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JLN_2016-12-08_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGR_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-01-20_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-04-10_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-05-10_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKN_2017-05-30_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGM_2017-09-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKT_2017-10-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMG_2017-11-20_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JLM_2018-04-12_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHP_2018-09-05_final
2018-11-14 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final
2018-12-28 11:55:39	ga_s2am_ard_3-2-1_50JKP_2018-12-28_final
2019-01-01 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2019-01-01_final
2019-02-09 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-02-09_final
2019-04-03 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-04-03_final
2019-04-11 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-04-11_final
2019-04-30 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-30_final
2019-05-21 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-05-21_final
2019-05-21 11:37:21	ga_s2am_ard_3-2-1_50HQG_2019-05-21_final.stac-item
2019-05-23 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-23_final
2019-06-16 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-06-16_final
2019-06-16 11:56:29	ga_s2am_ard_3-2-1_50JLL_2019-06-16_final
2019-07-12 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-07-12_final
2019-09-17 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-09-17_final
2019-10-04 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-10-04_final
2019-10-27 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-27_final
2019-10-28 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-10-28_final
2020-02-24 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-02-24_final
2020-02-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2020-02-27_final
2020-04-11 11:56:09	ga_s2am_ard_3-2-1_50JLM_2020-04-11_final
2020-07-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-07-24_final.stac-item
2020-08-05 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-05_final
2020-08-22 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-22_final
2020-09-15 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2020-09-15_final
2020-10-25 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-25_final
2020-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2020-12-20_final
2020-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2020-12-21_final
2021-01-23 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-01-23_final
2021-04-13 11:47:11	ga_s2am_ard_3-2-1_50HPG_2021-04-13_final.stac-item
2021-04-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2021-04-23_final.stac-item
2021-04-29 12:05:49	ga_s2am_ard_3-2-1_50JLN_2021-04-29_final
2021-04-30 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-04-30_final
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final
2021-05-23 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-05-23_final
2021-07-15 11:55:16	ga_s2am_ard_3-2-1_50JLR_2021-07-15_final
2021-07-18 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-07-18_final
2021-09-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-09-06_final
2021-10-10 11:47:15	ga_s2am_ard_3-2-1_50HMH_2021-10-10_final
2021-10-16 12:04:33	ga_s2am_ard_3-2-1_49KHP_2021-10-16_final
2021-11-12 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-11-12_final
2021-11-25 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-11-25_final
2021-12-15 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-12-15_final
2022-02-03 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-02-03_final
2022-03-15 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2022-03-15_final
2022-04-07 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-04-07_final
2022-04-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-04-07_final
2022-04-17 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-04-17_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2022-05-18_final
2022-05-24 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-05-24_final
2022-05-28 11:46:37	ga_s2am_ard_3-2-1_50HQK_2022-05-28_final
2022-06-14 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-06-14_final
2022-06-27 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-06-27_final
2022-08-15 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-15_final
2022-10-24 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-10-24_final.stac-item
2022-10-31 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-10-31_final.stac-item
2022-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2022-11-14_final.stac-item
2022-11-17 11:55:15	ga_s2am_ard_3-2-1_50JLR_2022-11-17_final.stac-item
2022-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-11-21_final.stac-item
2022-12-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-12-01_final.stac-item
2023-01-20 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2023-01-20_final.stac-item
2023-01-26 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-01-26_final.stac-item
2023-01-30 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-30_final.stac-item
2023-02-01 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-02-01_final.stac-item
2023-02-25 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-25_final.stac-item
2023-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-03-21_final.stac-item
2023-05-13 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-05-13_final.stac-item
2023-05-22 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-05-22_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-07-05 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-07-05_final.stac-item
2023-07-11 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-07-11_final.stac-item
2023-09-07 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2023-09-07_final.stac-item
2023-09-10 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2023-09-10_final.stac-item
2023-10-29 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-10-29_final.stac-item
2024-01-31 11:55:42	ga_s2am_ard_3-2-1_50JKP_2024-01-31_final.stac-item
2024-02-03 12:06:00	ga_s2am_ard_3-2-1_50JLM_2024-02-03_final.stac-item
2024-02-17 11:46:32	ga_s2am_ard_3-2-1_50HPK_2024-02-17_final.stac-item
2024-03-07 12:14:42	ga_s2am_ard_3-2-1_49JGN_2024-03-07_final.stac-item
2024-03-31 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-31_final.stac-item
2024-04-07 11:47:19	ga_s2am_ard_3-2-1_50HNG_2024-04-07_final.stac-item
2024-04-27 11:47:26	ga_s2am_ard_3-2-1_50HMG_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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