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_49JFM_2015-10-28_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHP_2015-12-30_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-03-06_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKT_2016-07-24_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-10-25_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JFM_2016-12-21_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQH_2017-01-14_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-22_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HLH_2017-04-14_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HMK_2017-04-27_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLG_2017-05-17_final.stac-item
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHS_2017-05-20_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-06-22_final
2017-06-29 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-06-29_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLQ_2017-07-09_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLQ_2017-08-05_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMH_2017-08-25_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKR_2017-09-17_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLQ_2017-10-24_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2017-11-19_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JLQ_2017-12-06_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JLQ_2018-02-21_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-03-06_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-03-26_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKR_2018-06-14_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-06-27_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMH_2018-07-08_final
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-27_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-06_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JLQ_2018-09-09_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JLR_2018-09-19_final
2019-03-01 12:05:07	ga_s2am_ard_3-2-1_50JLR_2019-03-01_final
2019-03-24 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-03-24_final
2019-03-31 12:05:05	ga_s2am_ard_3-2-1_50JLR_2019-03-31_final
2019-04-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-04-23_final
2019-04-30 12:05:12	ga_s2am_ard_3-2-1_50JLR_2019-04-30_final
2019-05-07 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-05-07_final
2019-05-10 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2019-05-10_final
2019-07-29 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2019-07-29_final
2019-08-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-08-11_final
2019-08-12 11:46:57	ga_s2am_ard_3-2-1_50HQH_2019-08-12_final
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-09-17 12:05:07	ga_s2am_ard_3-2-1_50JLR_2019-09-17_final
2019-10-17 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-10-17_final
2019-10-31 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-10-31_final
2019-11-06 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-11-06_final
2019-11-20 11:47:29	ga_s2am_ard_3-2-1_50HLG_2019-11-20_final.stac-item
2020-03-25 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-03-25_final
2020-05-14 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-05-14_final
2020-06-13 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-06-13_final
2020-08-05 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-05_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-10-08 11:55:18	ga_s2am_ard_3-2-1_50JLR_2020-10-08_final
2020-10-25 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-10-25_final
2020-11-27 11:55:13	ga_s2am_ard_3-2-1_50JLR_2020-11-27_final
2020-12-30 12:05:08	ga_s2am_ard_3-2-1_50JLR_2020-12-30_final
2021-01-09 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-01-09_final
2021-01-29 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-01-29_final
2021-02-02 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-02_final
2021-02-22 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-22_final
2021-03-17 11:55:12	ga_s2am_ard_3-2-1_50JLR_2021-03-17_final
2021-04-22 12:13:35	ga_s2am_ard_3-2-1_49KHS_2021-04-22_final.stac-item
2021-05-19 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-05-19_final
2021-05-19 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-05-19_final
2021-05-22 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-05-22_final
2021-07-01 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-07-01_final.stac-item
2021-09-10 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-09-10_final.stac-item
2021-09-23 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-09-23_final
2021-10-03 11:57:28	ga_s2am_ard_3-2-1_50HLG_2021-10-03_final.stac-item
2021-12-05 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-12-05_final
2021-12-19 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-12-19_final.stac-item
2022-01-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2022-01-18_final.stac-item
2022-06-23 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-06-23_final
2022-08-12 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-12_final
2022-08-25 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-08-25_final
2022-09-11 12:05:22	ga_s2am_ard_3-2-1_50JKR_2022-09-11_final.stac-item
2022-09-21 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-09-21_final.stac-item
2022-12-13 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2022-12-13_final.stac-item
2023-01-13 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-01-13_final.stac-item
2023-01-23 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-01-23_final.stac-item
2023-02-22 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-22_final.stac-item
2023-04-09 12:05:08	ga_s2am_ard_3-2-1_50JLR_2023-04-09_final.stac-item
2023-05-03 11:46:53	ga_s2am_ard_3-2-1_50HQH_2023-05-03_final.stac-item
2023-06-12 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-06-12_final.stac-item
2023-06-28 12:05:16	ga_s2am_ard_3-2-1_50JKR_2023-06-28_final.stac-item
2023-07-01 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-01_final.stac-item
2023-07-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-21_final.stac-item
2023-10-06 12:05:13	ga_s2am_ard_3-2-1_50JKR_2023-10-06_final.stac-item
2023-10-09 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-09_final.stac-item
2023-10-20 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-10-20_final.stac-item
2023-10-26 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2023-10-26_final.stac-item
2023-11-05 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-11-05_final.stac-item
2023-11-15 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-11-15_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item
2024-02-03 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2024-02-03_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