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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGM_2015-12-30_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLK_2016-05-22_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLJ_2016-07-01_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HQG_2016-10-23_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HNG_2016-11-02_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-21_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPG_2016-12-15_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-31_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLH_2017-06-13_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-07-06_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHP_2017-12-16_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNG_2018-03-30_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQJ_2018-04-16_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPG_2018-04-26_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HMG_2018-05-09_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMK_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLH_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMH_2018-05-22_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHS_2018-06-24_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGN_2018-07-14_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPH_2018-08-04_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HQH_2018-08-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HQH_2018-08-07_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-08-16_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HLG_2018-08-27_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPH_2018-08-27_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HQJ_2018-10-13_final
2018-12-11 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-11_final
2018-12-12 11:36:25	ga_s2am_ard_3-2-1_50HQK_2018-12-12_final
2018-12-21 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2018-12-21_final
2019-01-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-01-10_final
2019-02-19 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-19_final.stac-item
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-03-12 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-03-12_final.stac-item
2019-05-27 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-05-27_final
2019-06-13 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-06-13_final
2019-08-02 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-08-02_final.stac-item
2019-08-18 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-08-18_final
2019-08-22 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-08-22_final
2019-10-27 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-10-27_final
2019-11-06 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-11-06_final
2019-11-17 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-11-17_final.stac-item
2019-12-19 12:14:06	ga_s2am_ard_3-2-1_49KGQ_2019-12-19_final
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_49KHS_2020-01-08_final.stac-item
2020-02-28 11:47:16	ga_s2am_ard_3-2-1_50HNG_2020-02-28_final.stac-item
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-05-28 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-05-28_final
2020-06-04 11:37:32	ga_s2am_ard_3-2-1_50HNG_2020-06-04_final.stac-item
2020-07-03 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-07-03_final
2020-07-03 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-07-03_final
2020-07-17 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-17_final
2020-07-17 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-07-17_final
2020-08-06 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-06_final
2020-09-02 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-02_final.stac-item
2020-10-25 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-10-25_final.stac-item
2020-11-03 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-11-03_final.stac-item
2020-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final
2020-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-11-30_final
2020-12-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2020-12-20_final
2020-12-23 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-23_final
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final
2021-04-13 11:46:32	ga_s2am_ard_3-2-1_50HNK_2021-04-13_final
2021-05-20 11:37:13	ga_s2am_ard_3-2-1_50HPG_2021-05-20_final.stac-item
2021-06-29 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-06-29_final
2021-07-15 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-15_final
2021-10-29 12:15:04	ga_s2am_ard_3-2-1_49JFM_2021-10-29_final
2021-12-09 11:47:23	ga_s2am_ard_3-2-1_50HMG_2021-12-09_final.stac-item
2021-12-09 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-12-09_final.stac-item
2022-01-05 11:37:04	ga_s2am_ard_3-2-1_50HQH_2022-01-05_final
2022-01-28 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-01-28_final.stac-item
2022-03-08 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2022-03-08_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-06-17 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-06-17_final
2022-08-19 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-08-19_final
2022-11-20 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-11-20_final.stac-item
2022-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-13_final.stac-item
2022-12-24 11:46:51	ga_s2am_ard_3-2-1_50HQH_2022-12-24_final.stac-item
2022-12-30 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2022-12-30_final.stac-item
2023-04-20 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-04-20_final.stac-item
2023-05-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2023-05-16_final.stac-item
2023-05-20 11:37:29	ga_s2am_ard_3-2-1_50HNG_2023-05-20_final.stac-item
2023-05-23 11:47:17	ga_s2am_ard_3-2-1_50HLH_2023-05-23_final.stac-item
2023-07-22 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-07-22_final.stac-item
2023-12-19 11:47:23	ga_s2am_ard_3-2-1_50HLG_2023-12-19_final.stac-item
2024-02-07 11:47:13	ga_s2am_ard_3-2-1_50HPG_2024-02-07_final.stac-item
2024-03-25 11:37:01	ga_s2am_ard_3-2-1_50HPH_2024-03-25_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

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