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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHP_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHQ_2015-12-17_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-04-25_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JHN_2017-03-14_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-04-03_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-06-02_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JFM_2017-10-20_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2018-01-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-04-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-04-28_final
2018-12-04 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2018-12-04_final
2019-01-27 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-01-27_final
2019-01-30 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-01-30_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-09 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-02-09_final
2019-02-19 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-02-19_final
2019-02-19 12:04:27	ga_s2am_ard_3-2-1_49KGP_2019-02-19_final
2019-02-26 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-02-26_final
2019-03-21 12:04:26	ga_s2am_ard_3-2-1_49KHP_2019-03-21_final
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final
2019-06-02 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-02_final
2019-06-09 12:04:07	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final
2019-07-22 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-22_final
2019-08-01 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-08-01_final
2019-08-01 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-08-01_final
2019-09-20 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-09-20_final
2019-10-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-10-10_final
2019-10-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-10-10_final
2019-11-06 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-11-06_final
2019-11-29 12:14:41	ga_s2am_ard_3-2-1_49JGN_2019-11-29_final
2019-11-29 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-11-29_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-12-16 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-12-16_final
2020-01-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2020-01-28_final
2020-01-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2020-01-28_final
2020-01-28 12:14:24	ga_s2am_ard_3-2-1_49JHN_2020-01-28_final
2020-03-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-18_final
2020-04-07 12:13:52	ga_s2am_ard_3-2-1_49KHR_2020-04-07_final
2020-04-07 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-04-07_final
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-05-07_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final
2020-05-27 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-05-27_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-06-06 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-06_final
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final
2020-08-19 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-08-19_final
2020-09-11 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-09-11_final
2020-09-18 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-09-18_final.stac-item
2020-09-28 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-09-28_final
2020-10-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-10-01_final
2020-10-01 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-01_final
2020-10-31 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-10-31_final
2020-12-03 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-03_final
2020-12-13 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-12-13_final
2021-01-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-29_final
2021-01-29 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-01-29_final
2021-09-13 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-13_final
2021-11-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-11-05_final
2021-11-22 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-11-22_final.stac-item
2022-01-01 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-01_final
2022-02-10 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-02-10_final
2022-04-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-04-01_final
2022-04-21 11:56:45	ga_s2am_ard_3-2-1_50HLK_2022-04-21_final
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-06-13 12:04:44	ga_s2am_ard_3-2-1_49KHP_2022-06-13_final
2022-06-13 12:04:45	ga_s2am_ard_3-2-1_49KGP_2022-06-13_final
2022-06-23 12:04:46	ga_s2am_ard_3-2-1_49KHP_2022-06-23_final
2022-06-26 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-06-26_final
2022-09-11 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-09-11_final.stac-item
2022-10-01 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-10-01_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final.stac-item
2023-04-26 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-26_final.stac-item
2023-05-13 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-13_final.stac-item
2023-06-02 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-02_final.stac-item
2023-07-02 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-07-02_final.stac-item
2023-07-15 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-15_final.stac-item
2023-08-10 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-08-10_final.stac-item
2023-10-09 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-09_final.stac-item
2023-10-19 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-19_final.stac-item
2023-10-23 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-10-23_final.stac-item
2023-10-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-10-26_final.stac-item
2023-11-02 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-02_final.stac-item
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2023-12-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-12-22_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item
2024-02-26 12:14:55	ga_s2am_ard_3-2-1_49JGM_2024-02-26_final.stac-item
2024-03-11 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-11_final.stac-item
2024-03-17 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-17_final.stac-item
2024-03-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-17_final.stac-item
2024-04-26 12:13:57	ga_s2am_ard_3-2-1_49KHR_2024-04-26_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