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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPG_2016-03-20_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-04-25_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGQ_2016-05-15_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMH_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHS_2017-01-30_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPG_2017-02-03_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JKN_2017-04-07_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKN_2017-05-10_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-23_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMG_2017-12-10_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JKN_2017-12-23_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKP_2018-04-05_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQH_2018-04-16_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-28_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGJ_2018-08-13_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQJ_2018-08-17_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-12-28 11:55:52	ga_s2am_ard_3-2-1_50JKN_2018-12-28_final
2019-02-03 11:47:07	ga_s2am_ard_3-2-1_50HMH_2019-02-03_final
2019-02-06 11:55:56	ga_s2am_ard_3-2-1_50JKN_2019-02-06_final
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final
2019-02-13 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final
2019-02-16 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-02-16_final
2019-02-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-02-16_final
2019-02-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-02-16_final
2019-04-04 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-04-04_final
2019-06-29 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-06-29_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-07-26 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-26_final.stac-item
2019-10-17 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-10-17_final
2019-11-20 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2019-11-20_final
2019-12-30 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-12-30_final
2020-01-19 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-01-19_final
2020-03-25 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2020-03-25_final.stac-item
2020-03-25 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-03-25_final
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final
2020-04-28 11:47:09	ga_s2am_ard_3-2-1_50HNH_2020-04-28_final
2020-05-15 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-05-15_final.stac-item
2020-05-25 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-05-25_final.stac-item
2020-06-04 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-04_final
2020-06-17 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-06-17_final
2020-12-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2020-12-20_final
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final
2021-01-19 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-01-19_final
2021-02-02 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-02_final
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_50JKT_2021-04-09_final
2021-04-16 11:55:40	ga_s2am_ard_3-2-1_50JKP_2021-04-16_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-06-19 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-19_final
2021-07-02 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-07-02_final.stac-item
2021-07-15 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-07-15_final
2021-09-26 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-09-26_final
2021-10-19 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-19_final
2021-11-06 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-11-06_final
2021-11-28 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-28_final
2021-12-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-12-02_final
2021-12-25 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-12-25_final
2022-03-05 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-03-05_final
2022-06-23 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-07-13 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-10-15 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-10-15_final.stac-item
2022-11-14 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-11-14_final.stac-item
2022-11-17 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-11-17_final.stac-item
2022-11-23 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-11-23_final.stac-item
2022-12-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-12-04_final.stac-item
2022-12-10 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-12-10_final.stac-item
2022-12-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-12-17_final.stac-item
2023-02-08 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-02-08_final.stac-item
2023-02-25 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-02-25_final.stac-item
2023-03-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-03-10_final.stac-item
2023-04-19 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-04-19_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final.stac-item
2023-04-26 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-26_final.stac-item
2023-05-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-05-06_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-06-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2023-06-15_final.stac-item
2023-09-07 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-09-07_final.stac-item
2023-09-30 11:47:19	ga_s2am_ard_3-2-1_50HPG_2023-09-30_final.stac-item
2023-10-23 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-10-23_final.stac-item
2023-11-16 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-11-16_final.stac-item
2023-11-16 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-11-16_final.stac-item
2023-12-25 12:05:12	ga_s2am_ard_3-2-1_49JGL_2023-12-25_final.stac-item
2024-01-11 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2024-01-11_final.stac-item
2024-01-17 12:15:02	ga_s2am_ard_3-2-1_49JGL_2024-01-17_final.stac-item
2024-01-24 12:05:34	ga_s2am_ard_3-2-1_50JKP_2024-01-24_final.stac-item
2024-02-27 11:47:13	ga_s2am_ard_3-2-1_50HLH_2024-02-27_final.stac-item
2024-04-14 11:36:50	ga_s2am_ard_3-2-1_50HQJ_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

All years