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
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JFM_2016-01-09_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2016-06-27_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNG_2016-12-15_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMK_2017-06-06_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HMK_2017-08-15_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-08-21_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMK_2017-08-25_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHS_2017-09-10_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-26_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLG_2017-12-10_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHR_2018-01-05_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGR_2018-01-08_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2018-01-28_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLG_2018-02-08_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-03-09_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-04-15_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HNG_2018-05-16_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMH_2018-06-18_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMG_2018-07-08_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-17_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLJ_2018-08-10_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-11-04_final.stac-item
2018-11-15 11:47:15	ga_s2am_ard_3-2-1_50HNG_2018-11-15_final.stac-item
2018-11-21 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2018-11-21_final
2018-12-11 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-11_final
2018-12-24 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-24_final
2019-01-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2019-01-11_final.stac-item
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final
2019-03-21 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-03-21_final
2019-05-24 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-24_final
2019-06-13 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-06-13_final.stac-item
2019-06-19 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-06-19_final
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-09_final.stac-item
2019-08-12 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-08-12_final
2019-08-22 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-08-22_final
2019-08-25 11:57:22	ga_s2am_ard_3-2-1_50HMG_2019-08-25_final.stac-item
2019-09-14 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2019-09-14_final
2019-10-24 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-24_final
2019-11-09 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-11-09_final
2019-12-16 12:04:40	ga_s2am_ard_3-2-1_49JGN_2019-12-16_final
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-02-11 11:57:16	ga_s2am_ard_3-2-1_50HLG_2020-02-11_final.stac-item
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_49KHR_2020-06-03_final
2020-06-23 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final
2020-07-20 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-20_final
2020-07-20 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-20_final
2020-08-25 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-08-25_final
2020-10-31 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-10-31_final
2020-11-10 12:04:46	ga_s2am_ard_3-2-1_49JHN_2020-11-10_final
2020-11-20 12:04:30	ga_s2am_ard_3-2-1_49KHP_2020-11-20_final
2020-11-23 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2020-11-23_final
2020-11-27 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-11-27_final
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final
2020-12-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2020-12-23_final
2020-12-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-12-30_final.stac-item
2021-01-09 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-09_final
2021-03-23 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2021-03-23_final
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2021-04-19_final.stac-item
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final
2021-05-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-05-26_final
2021-06-25 11:57:15	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-07-11 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-11_final
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final.stac-item
2021-11-25 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-11-25_final
2021-12-12 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-12-12_final
2021-12-19 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-12-19_final.stac-item
2022-01-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-28_final.stac-item
2022-02-10 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-02-10_final.stac-item
2022-02-23 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-02-23_final
2022-02-23 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-02-23_final
2022-03-09 11:47:23	ga_s2am_ard_3-2-1_50HNG_2022-03-09_final.stac-item
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-05-11 11:57:27	ga_s2am_ard_3-2-1_50HLG_2022-05-11_final.stac-item
2022-09-12 11:37:31	ga_s2am_ard_3-2-1_50HPG_2022-09-12_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2022-12-17 11:56:29	ga_s2am_ard_3-2-1_50HNK_2022-12-17_final.stac-item
2022-12-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2022-12-20_final.stac-item
2023-01-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-01-23_final.stac-item
2023-02-18 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2023-02-18_final.stac-item
2023-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2023-05-16_final.stac-item
2023-05-23 11:47:13	ga_s2am_ard_3-2-1_50HMH_2023-05-23_final.stac-item
2023-08-04 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-04_final.stac-item
2023-08-21 11:47:33	ga_s2am_ard_3-2-1_50HLG_2023-08-21_final.stac-item
2023-11-18 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-11-18_final.stac-item
2024-01-17 12:14:23	ga_s2am_ard_3-2-1_49JHN_2024-01-17_final.stac-item
2024-02-10 11:56:36	ga_s2am_ard_3-2-1_50HLK_2024-02-10_final.stac-item
2024-02-10 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-02-10_final.stac-item
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final.stac-item
2024-02-27 11:47:26	ga_s2am_ard_3-2-1_50HLG_2024-02-27_final.stac-item
2024-03-14 12:04:28	ga_s2am_ard_3-2-1_49KHP_2024-03-14_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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