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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHN_2015-10-08_final.stac-item
2015-11-28 11:36:02	ga_s2am_ard_3-2-1_50HQK_2015-11-28_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKR_2016-04-15_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHP_2016-05-18_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JLQ_2016-06-24_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2016-11-11_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2016-12-18_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JKR_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2016-12-24_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49JHM_2017-08-18_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HLG_2017-08-25_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKS_2017-09-17_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHM_2017-09-27_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2017-09-27_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_50JKR_2017-11-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JLR_2017-11-26_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLQ_2017-11-26_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JLQ_2017-12-23_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-26_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HNG_2018-02-18_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JLQ_2018-03-23_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JLR_2018-03-23_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-18_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-07_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLR_2018-07-11_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HMH_2018-08-20_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-11-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-11-24_final
2019-01-10 12:05:07	ga_s2am_ard_3-2-1_50JKR_2019-01-10_final
2019-03-24 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-03-24_final
2019-03-25 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-03-25_final
2019-04-07 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-04-07_final.stac-item
2019-06-03 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-06-03_final
2019-06-23 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-06-23_final
2019-07-02 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-02_final
2019-07-16 11:57:11	ga_s2am_ard_3-2-1_50HMH_2019-07-16_final
2019-08-12 11:46:57	ga_s2am_ard_3-2-1_50HQH_2019-08-12_final
2019-10-17 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-10-17_final
2019-11-23 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-11-23_final.stac-item
2020-01-22 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2020-01-22_final
2020-02-11 11:55:03	ga_s2am_ard_3-2-1_50JLR_2020-02-11_final
2020-02-24 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2020-02-24_final
2020-04-14 12:05:11	ga_s2am_ard_3-2-1_50JKR_2020-04-14_final
2020-05-27 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-05-27_final
2020-06-07 11:47:24	ga_s2am_ard_3-2-1_50HNG_2020-06-07_final.stac-item
2020-06-13 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-13_final
2020-09-04 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-04_final
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-10-31 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-10-31_final
2020-11-14 11:47:28	ga_s2am_ard_3-2-1_50HMG_2020-11-14_final.stac-item
2021-03-07 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-03-07_final
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-03-23_final.stac-item
2021-04-10 11:37:13	ga_s2am_ard_3-2-1_50HQG_2021-04-10_final.stac-item
2021-04-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2021-04-22_final
2021-04-26 11:56:33	ga_s2am_ard_3-2-1_50HMK_2021-04-26_final
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final
2021-06-15 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-15_final.stac-item
2021-06-25 11:55:14	ga_s2am_ard_3-2-1_50JLR_2021-06-25_final
2021-07-08 12:03:47	ga_s2am_ard_3-2-1_49KHS_2021-07-08_final.stac-item
2021-07-08 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-07-08_final
2021-07-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-07-11_final.stac-item
2021-07-25 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2021-07-25_final
2021-09-03 11:55:14	ga_s2am_ard_3-2-1_50JLR_2021-09-03_final
2021-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-09-19_final
2021-10-06 12:05:13	ga_s2am_ard_3-2-1_50JLR_2021-10-06_final
2021-10-10 11:47:33	ga_s2am_ard_3-2-1_50HLG_2021-10-10_final.stac-item
2021-11-22 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-11-22_final
2022-01-15 11:36:28	ga_s2am_ard_3-2-1_50HQK_2022-01-15_final
2022-01-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-01-27_final
2022-02-03 12:05:12	ga_s2am_ard_3-2-1_50JKR_2022-02-03_final
2022-02-13 12:05:11	ga_s2am_ard_3-2-1_50JKR_2022-02-13_final
2022-02-26 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-02-26_final
2022-04-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-04-07_final
2022-05-28 11:47:01	ga_s2am_ard_3-2-1_50HQH_2022-05-28_final
2022-06-13 12:05:22	ga_s2am_ard_3-2-1_50JKR_2022-06-13_final
2022-06-20 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-06-20_final
2022-07-26 12:14:19	ga_s2am_ard_3-2-1_49KHQ_2022-07-26_final
2022-08-12 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-08-12_final.stac-item
2022-09-18 11:55:36	ga_s2am_ard_3-2-1_50JLQ_2022-09-18_final.stac-item
2022-10-01 12:05:19	ga_s2am_ard_3-2-1_50JKR_2022-10-01_final.stac-item
2022-11-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2022-11-04_final.stac-item
2022-11-10 12:05:12	ga_s2am_ard_3-2-1_50JLR_2022-11-10_final.stac-item
2022-12-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-12-03_final.stac-item
2022-12-30 12:05:11	ga_s2am_ard_3-2-1_50JKR_2022-12-30_final.stac-item
2023-02-12 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-02-12_final.stac-item
2023-05-23 11:47:17	ga_s2am_ard_3-2-1_50HLH_2023-05-23_final.stac-item
2023-07-21 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-07-21_final.stac-item
2023-08-01 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-08-01_final.stac-item
2023-09-10 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-09-10_final.stac-item
2023-10-29 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-29_final.stac-item
2023-11-25 12:05:06	ga_s2am_ard_3-2-1_50JKR_2023-11-25_final.stac-item
2024-01-28 11:46:48	ga_s2am_ard_3-2-1_50HQH_2024-01-28_final.stac-item
2024-02-26 12:13:39	ga_s2am_ard_3-2-1_49KHS_2024-02-26_final.stac-item
2024-03-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2024-03-28_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