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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KHR_2015-10-01_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHP_2015-12-17_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGK_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHR_2016-02-08_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-04-08_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-04-25_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-04-03_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-06-19_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JFM_2017-10-20_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2017-10-20_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JFM_2017-11-09_final
2019-01-04 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-01-04_final.stac-item
2019-01-20 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-01-20_final
2019-01-27 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-01-27_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-03-05 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-03-05_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
2019-07-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2019-07-02_final
2019-07-06 11:57:11	ga_s2am_ard_3-2-1_50HMH_2019-07-06_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
2019-10-20 12:14:02	ga_s2am_ard_3-2-1_49KHR_2019-10-20_final
2019-10-27 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-27_final
2019-12-16 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-12-16_final
2020-01-15 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-15_final
2020-01-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2020-01-28_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-02-24 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2020-02-24_final
2020-03-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-18_final
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-05-04_final.stac-item
2020-06-20 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-20_final
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-16_final
2020-08-02 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-02_final
2020-08-12 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-08-12_final
2020-08-15 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-15_final
2020-08-19 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-08-19_final
2020-09-04 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-09-04_final
2020-09-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-09-15_final
2020-09-18 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-09-18_final
2020-09-21 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-21_final
2020-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-11-10_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2021-02-08 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-08_final
2021-04-13 11:46:35	ga_s2am_ard_3-2-1_50HMK_2021-04-13_final
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2021-04-22_final
2021-10-16 12:05:14	ga_s2am_ard_3-2-1_49JFM_2021-10-16_final
2021-11-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-11-08_final
2021-11-25 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-11-25_final
2021-12-05 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-05_final
2022-01-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-01-11_final.stac-item
2022-02-16 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-02-16_final
2022-03-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-02_final
2022-03-09 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-03-09_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-06-13 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-06-13_final
2022-06-17 11:47:25	ga_s2am_ard_3-2-1_50HLH_2022-06-17_final
2022-07-10 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-07-10_final
2022-08-15 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-15_final
2022-10-01 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-10-01_final.stac-item
2022-10-14 12:14:26	ga_s2am_ard_3-2-1_49KHP_2022-10-14_final.stac-item
2022-11-20 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-11-20_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2022-12-27 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-12-27_final.stac-item
2023-01-02 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-01-02_final.stac-item
2023-01-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2023-01-26_final.stac-item
2023-02-25 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-02-25_final.stac-item
2023-05-29 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-05-29_final.stac-item
2023-08-01 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-01_final.stac-item
2023-08-01 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-01_final.stac-item
2023-08-11 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-11_final.stac-item
2023-08-14 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-14_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
2023-11-19 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-11-19_final.stac-item
2023-12-02 11:57:12	ga_s2am_ard_3-2-1_50HMG_2023-12-02_final.stac-item
2023-12-05 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2023-12-05_final.stac-item
2023-12-12 11:56:35	ga_s2am_ard_3-2-1_50HLK_2023-12-12_final.stac-item
2024-01-17 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2024-01-17_final.stac-item
2024-01-21 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-01-24 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-24_final.stac-item
2024-02-20 11:57:07	ga_s2am_ard_3-2-1_50HLH_2024-02-20_final.stac-item
2024-02-23 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-02-23_final.stac-item
2024-02-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2024-02-23_final.stac-item
2024-02-27 11:47:13	ga_s2am_ard_3-2-1_50HLH_2024-02-27_final.stac-item
2024-03-11 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-03-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2024-03-17_final.stac-item
2024-04-03 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-04-03_final.stac-item
2024-05-17 11:47:16	ga_s2am_ard_3-2-1_50HLH_2024-05-17_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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