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_50HPJ_2015-11-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHN_2016-01-16_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JFM_2016-02-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHP_2016-05-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-09-15_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HNJ_2016-11-05_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNK_2016-11-15_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGN_2016-12-24_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2017-01-14_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHP_2017-01-30_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPK_2017-03-25_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-05-30_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-06-22_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQJ_2017-07-30_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49JGN_2017-08-01_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGP_2017-08-01_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHR_2017-09-10_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HQJ_2017-10-31_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-11-03_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HPK_2017-11-20_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMG_2018-03-13_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HNG_2018-04-26_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNJ_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPG_2018-06-08_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2018-06-28_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HQK_2018-07-25_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2018-09-02_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPH_2018-09-03_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-09-15_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-25_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPK_2018-10-26_final
2018-12-21 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-21_final
2018-12-22 11:37:02	ga_s2am_ard_3-2-1_50HPH_2018-12-22_final
2019-02-06 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-02-06_final
2019-02-19 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-02-19_final
2019-02-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-02-23_final
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final
2019-05-10 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-05-10_final
2019-05-13 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-13_final
2019-08-21 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-08-21_final
2019-08-21 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-08-21_final
2019-09-11 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-09-11_final
2019-09-20 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-09-20_final
2019-10-21 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-21_final
2019-11-09 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-11-09_final
2020-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGN_2020-01-18_final
2020-03-02 11:56:25	ga_s2am_ard_3-2-1_50HNK_2020-03-02_final
2020-03-09 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2020-03-09_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-06-26 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-06-26_final
2020-07-20 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-20_final
2020-08-05 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-05_final
2020-09-14 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-09-14_final
2020-09-21 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-21_final
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final
2021-05-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-05-22_final
2021-05-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-05-23_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final
2021-07-25 11:57:17	ga_s2am_ard_3-2-1_50HLH_2021-07-25_final
2021-09-20 11:46:43	ga_s2am_ard_3-2-1_50HMK_2021-09-20_final
2021-10-16 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2021-10-16_final
2021-10-17 11:37:23	ga_s2am_ard_3-2-1_50HQG_2021-10-17_final.stac-item
2021-10-30 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2021-10-30_final
2021-11-16 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-11-16_final
2021-11-28 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-28_final
2021-12-15 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-12-15_final
2021-12-26 11:37:22	ga_s2am_ard_3-2-1_50HPG_2021-12-26_final.stac-item
2022-01-15 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-15_final
2022-01-18 11:47:07	ga_s2am_ard_3-2-1_50HNH_2022-01-18_final
2022-02-13 12:04:27	ga_s2am_ard_3-2-1_49KHP_2022-02-13_final
2022-03-16 11:36:38	ga_s2am_ard_3-2-1_50HQK_2022-03-16_final
2022-07-03 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-07-03_final
2022-07-06 12:14:08	ga_s2am_ard_3-2-1_49KHR_2022-07-06_final
2022-07-27 11:46:40	ga_s2am_ard_3-2-1_50HQK_2022-07-27_final
2022-10-24 12:14:01	ga_s2am_ard_3-2-1_49KGR_2022-10-24_final.stac-item
2022-11-03 12:14:45	ga_s2am_ard_3-2-1_49JGN_2022-11-03_final.stac-item
2022-11-20 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-11-20_final.stac-item
2022-12-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2022-12-24_final.stac-item
2023-01-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-01-03_final.stac-item
2023-01-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-01-23_final.stac-item
2023-04-20 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-04-20_final.stac-item
2023-04-22 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-22_final.stac-item
2023-07-31 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-07-31_final.stac-item
2023-08-01 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-08-01_final.stac-item
2023-08-21 11:47:23	ga_s2am_ard_3-2-1_50HPG_2023-08-21_final.stac-item
2023-09-27 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2023-09-27_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final.stac-item
2023-11-15 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-11-15_final.stac-item
2023-12-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-12-22_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_final.stac-item
2024-01-25 11:36:32	ga_s2am_ard_3-2-1_50HPK_2024-01-25_final.stac-item
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final.stac-item
2024-03-28 11:46:38	ga_s2am_ard_3-2-1_50HNK_2024-03-28_final.stac-item
2024-04-03 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-04-03_final.stac-item
2024-04-07 11:46:57	ga_s2am_ard_3-2-1_50HNH_2024-04-07_final.stac-item
2024-04-17 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2024-04-17_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