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
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHR_2016-05-18_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JFM_2016-09-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-09-15_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-05_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2016-11-01_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HPG_2016-11-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQJ_2016-11-05_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2016-12-08_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKN_2016-12-21_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-01-03_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMH_2017-03-05_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKM_2017-03-31_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQK_2017-07-10_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMH_2017-12-23_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HNG_2017-12-30_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HNK_2018-01-02_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KGR_2018-02-07_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-17_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-17_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-03-19_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNJ_2018-05-19_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-09-29_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-22_final
2019-01-14 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2019-01-14_final
2019-02-13 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final
2019-02-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2019-02-23_final
2019-02-23 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-02-23_final.stac-item
2019-03-02 11:37:12	ga_s2am_ard_3-2-1_50HQG_2019-03-02_final.stac-item
2019-06-19 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-19_final
2019-07-02 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-02_final.stac-item
2019-07-22 12:15:05	ga_s2am_ard_3-2-1_49JFM_2019-07-22_final
2019-09-07 12:04:27	ga_s2am_ard_3-2-1_49KHP_2019-09-07_final
2019-09-10 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2019-09-10_final
2019-11-16 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-11-16_final
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final
2020-01-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2020-01-12_final.stac-item
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final
2020-02-17 12:14:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-17_final
2020-03-09 11:46:26	ga_s2am_ard_3-2-1_50HQK_2020-03-09_final
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-03-28 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-28_final
2020-05-01 11:56:02	ga_s2am_ard_3-2-1_50JKN_2020-05-01_final
2020-05-17 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-05-17_final
2020-05-18 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-18_final
2020-06-03 12:04:20	ga_s2am_ard_3-2-1_49KHQ_2020-06-03_final
2020-06-17 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-06-17_final
2020-06-20 11:57:26	ga_s2am_ard_3-2-1_50HMG_2020-06-20_final.stac-item
2020-08-02 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-08-02_final
2020-09-11 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-09-11_final
2020-11-03 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-11-03_final
2020-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-11-30_final
2020-12-17 11:56:12	ga_s2am_ard_3-2-1_50JKM_2020-12-17_final
2020-12-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2021-01-23 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-23_final
2021-01-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-01-29_final
2021-02-09 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-09_final
2021-02-19 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-19_final
2021-02-25 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-25_final
2021-06-25 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-06-25_final
2021-07-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2021-07-15_final
2021-07-18 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-07-18_final
2021-08-30 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2021-08-30_final
2021-09-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-09-06_final
2021-09-09 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-09-09_final
2021-10-10 11:46:46	ga_s2am_ard_3-2-1_50HMK_2021-10-10_final
2021-10-16 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2021-10-16_final
2021-12-28 12:15:12	ga_s2am_ard_3-2-1_49JGL_2021-12-28_final
2022-01-04 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-01-04_final
2022-01-07 12:15:01	ga_s2am_ard_3-2-1_49JFM_2022-01-07_final
2022-01-11 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-01-11_final
2022-02-04 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-02-04_final
2022-04-24 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-04-24_final
2022-05-04 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-05-04_final
2022-05-21 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2022-05-21_final
2022-06-30 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-06-30_final
2022-10-18 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-10-18_final.stac-item
2022-12-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2022-12-20_final.stac-item
2022-12-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2022-12-27_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-10_final.stac-item
2023-02-11 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-02-11_final.stac-item
2023-02-28 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-03-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-03-13_final.stac-item
2023-05-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2023-05-16_final.stac-item
2023-06-19 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-06-19_final.stac-item
2023-09-07 11:36:39	ga_s2am_ard_3-2-1_50HQK_2023-09-07_final.stac-item
2023-10-06 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2023-10-06_final.stac-item
2023-10-19 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-19_final.stac-item
2023-11-26 11:37:21	ga_s2am_ard_3-2-1_50HNG_2023-11-26_final.stac-item
2023-12-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-19_final.stac-item
2024-01-04 12:04:24	ga_s2am_ard_3-2-1_49KHP_2024-01-04_final.stac-item
2024-02-07 11:47:02	ga_s2am_ard_3-2-1_50HNH_2024-02-07_final.stac-item
2024-02-10 11:57:02	ga_s2am_ard_3-2-1_50HMH_2024-02-10_final.stac-item
2024-03-28 11:47:21	ga_s2am_ard_3-2-1_50HNG_2024-03-28_final.stac-item
2024-04-20 11:55:49	ga_s2am_ard_3-2-1_50JKP_2024-04-20_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