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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGP_2015-10-28_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQG_2015-12-08_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPH_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPK_2016-02-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPH_2016-05-16_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-06-07_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JHM_2016-07-14_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HPJ_2016-11-05_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGM_2016-11-24_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KGP_2016-12-01_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-12-14_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-01-20_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPK_2017-02-20_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2017-05-20_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HMH_2017-07-16_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2017-10-31_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-11-26_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-12-09_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNH_2018-01-19_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-17_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-17_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HNK_2018-02-18_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HLH_2018-02-28_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HQJ_2018-02-28_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNH_2018-03-20_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPH_2018-04-09_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQJ_2018-05-16_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPJ_2018-06-08_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGM_2018-06-24_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPH_2018-06-25_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNG_2018-08-07_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGR_2018-08-26_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JKM_2018-10-19_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final
2019-01-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-01-13_final
2019-02-12 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-12_final
2019-02-23 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-02-23_final
2019-04-30 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-30_final
2019-05-04 11:46:34	ga_s2am_ard_3-2-1_50HQK_2019-05-04_final
2019-06-13 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-06-13_final
2019-08-11 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-08-11_final
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final
2019-08-29 11:37:08	ga_s2am_ard_3-2-1_50HPH_2019-08-29_final
2019-09-17 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-09-17_final
2019-11-17 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-11-17_final.stac-item
2019-11-27 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2019-11-27_final
2020-02-08 11:46:54	ga_s2am_ard_3-2-1_50HPH_2020-02-08_final
2020-02-08 11:46:58	ga_s2am_ard_3-2-1_50HNH_2020-02-08_final
2020-02-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-02-14_final
2020-02-17 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-02-17_final
2020-02-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2020-02-27_final
2020-02-27 12:14:51	ga_s2am_ard_3-2-1_49JGM_2020-02-27_final
2020-03-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2020-03-25_final.stac-item
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-07-26 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-26_final
2020-09-05 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-09-05_final
2020-10-12 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-10-12_final
2020-11-07 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-11-07_final
2020-12-24 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-12-24_final
2020-12-27 11:55:59	ga_s2am_ard_3-2-1_50JKN_2020-12-27_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final
2021-02-28 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-02-28_final
2021-04-06 11:56:33	ga_s2am_ard_3-2-1_50HMK_2021-04-06_final
2021-04-19 12:05:05	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-09-07 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-09-07_final
2021-09-17 11:36:36	ga_s2am_ard_3-2-1_50HQK_2021-09-17_final
2021-11-29 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-11-29_final
2022-01-27 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-01-27_final
2022-03-06 11:37:07	ga_s2am_ard_3-2-1_50HQH_2022-03-06_final
2022-03-08 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-03-08_final
2022-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-05-08_final
2022-07-06 12:14:26	ga_s2am_ard_3-2-1_49KGQ_2022-07-06_final
2022-08-13 11:36:52	ga_s2am_ard_3-2-1_50HQK_2022-08-13_final
2022-08-25 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-08-25_final.stac-item
2022-09-25 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-09-25_final.stac-item
2022-09-28 11:57:30	ga_s2am_ard_3-2-1_50HLG_2022-09-28_final.stac-item
2022-10-15 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-10-15_final.stac-item
2022-11-23 12:13:58	ga_s2am_ard_3-2-1_49KGR_2022-11-23_final.stac-item
2022-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2022-12-21_final.stac-item
2023-01-13 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2023-01-13_final.stac-item
2023-02-21 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-02-21_final.stac-item
2023-03-27 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-03-27_final.stac-item
2023-04-23 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-04-23_final.stac-item
2023-07-18 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-07-18_final.stac-item
2023-09-17 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-09-17_final.stac-item
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-10-19 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-19_final.stac-item
2023-10-30 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-10-30_final.stac-item
2023-11-08 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-11-08_final.stac-item
2023-12-06 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-06_final.stac-item
2024-02-06 12:13:54	ga_s2am_ard_3-2-1_49KGR_2024-02-06_final.stac-item
2024-02-07 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2024-02-07_final.stac-item
2024-02-20 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2024-02-20_final.stac-item
2024-03-28 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-28_final.stac-item
2024-04-07 11:46:28	ga_s2am_ard_3-2-1_50HQK_2024-04-07_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