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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_50HQK_2015-09-09_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLQ_2015-12-17_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLQ_2016-02-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLQ_2016-04-15_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2016-05-05_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKR_2016-08-23_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKR_2016-11-21_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JLQ_2017-03-18_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JLQ_2017-05-10_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKT_2017-08-08_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLR_2017-09-14_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JLQ_2017-10-04_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKR_2017-10-27_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFN_2017-12-09_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HQH_2017-12-10_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JKR_2017-12-16_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JLQ_2018-01-25_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JLR_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JLQ_2018-03-16_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JLQ_2018-03-26_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JLQ_2018-04-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLQ_2018-05-15_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLR_2018-08-23_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JLQ_2018-09-19_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHQ_2018-09-25_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLR_2018-10-19_final
2018-12-04 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-04_final
2018-12-28 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2018-12-28_final
2019-01-10 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2019-01-10_final
2019-02-03 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-02-03_final.stac-item
2019-02-12 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-02-12_final.stac-item
2019-03-11 12:05:03	ga_s2am_ard_3-2-1_50JLR_2019-03-11_final
2019-04-17 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-04-17_final
2019-04-30 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-04-30_final
2019-04-30 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-04-30_final
2019-05-17 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-05-17_final
2019-06-02 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-06-02_final
2019-06-19 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-06-19_final
2019-08-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-15 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2019-08-15_final
2019-08-22 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-08-22_final
2019-08-28 12:05:09	ga_s2am_ard_3-2-1_50JLR_2019-08-28_final
2019-08-28 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2019-08-28_final
2019-09-07 12:05:11	ga_s2am_ard_3-2-1_50JKR_2019-09-07_final
2019-09-10 12:13:38	ga_s2am_ard_3-2-1_49KHS_2019-09-10_final.stac-item
2019-12-06 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2019-12-06_final
2019-12-13 11:55:08	ga_s2am_ard_3-2-1_50JLR_2019-12-13_final
2019-12-13 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-12-13_final.stac-item
2019-12-23 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-12-23_final.stac-item
2020-01-02 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2020-01-02_final
2020-02-17 12:14:15	ga_s2am_ard_3-2-1_49KHP_2020-02-17_final
2020-03-12 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2020-03-12_final
2020-04-01 11:55:08	ga_s2am_ard_3-2-1_50JLR_2020-04-01_final
2020-04-01 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2020-04-01_final
2020-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-05-07_final
2020-05-27 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-05-27_final
2020-06-20 11:55:19	ga_s2am_ard_3-2-1_50JLR_2020-06-20_final
2020-07-03 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-07-03_final
2020-07-30 11:55:18	ga_s2am_ard_3-2-1_50JLR_2020-07-30_final
2020-08-02 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-02_final
2020-09-11 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2020-09-11_final
2020-10-01 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-10-01_final
2020-12-17 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-17_final
2020-12-20 12:05:06	ga_s2am_ard_3-2-1_50JLR_2020-12-20_final
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item
2021-01-22 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-01-22_final.stac-item
2021-01-29 12:05:08	ga_s2am_ard_3-2-1_50JLR_2021-01-29_final
2021-04-10 11:37:13	ga_s2am_ard_3-2-1_50HQG_2021-04-10_final.stac-item
2021-04-29 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-04-29_final
2021-05-19 12:05:08	ga_s2am_ard_3-2-1_50JLR_2021-05-19_final
2021-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-09-19 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-19_final
2022-02-20 11:55:14	ga_s2am_ard_3-2-1_50JLR_2022-02-20_final
2022-03-05 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2022-03-05_final
2022-03-09 11:47:32	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-04-08 11:46:54	ga_s2am_ard_3-2-1_50HQH_2022-04-08_final
2022-04-14 12:05:12	ga_s2am_ard_3-2-1_50JLR_2022-04-14_final.stac-item
2022-05-08 11:47:32	ga_s2am_ard_3-2-1_50HLG_2022-05-08_final.stac-item
2022-06-06 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-06-06_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-08-29 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-08-29_final.stac-item
2022-09-14 12:14:31	ga_s2am_ard_3-2-1_49KHP_2022-09-14_final.stac-item
2022-10-01 12:05:30	ga_s2am_ard_3-2-1_50JLQ_2022-10-01_final.stac-item
2022-10-28 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2022-10-28_final.stac-item
2022-11-27 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-11-27_final.stac-item
2023-02-05 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-02-05_final.stac-item
2023-03-03 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-03-03_final.stac-item
2023-03-04 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-03-04_final.stac-item
2023-05-16 11:55:14	ga_s2am_ard_3-2-1_50JLR_2023-05-16_final.stac-item
2023-08-27 12:05:18	ga_s2am_ard_3-2-1_50JKR_2023-08-27_final.stac-item
2023-08-31 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-31_final.stac-item
2023-11-02 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-11-02_final.stac-item
2023-11-19 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-11-19_final.stac-item
2023-12-02 11:55:05	ga_s2am_ard_3-2-1_50JLR_2023-12-02_final.stac-item
2023-12-15 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2023-12-15_final.stac-item
2024-02-10 11:55:06	ga_s2am_ard_3-2-1_50JLR_2024-02-10_final.stac-item
2024-02-20 11:55:11	ga_s2am_ard_3-2-1_50JLR_2024-02-20_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