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
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGN_2015-12-27_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMH_2016-03-20_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HNG_2016-05-16_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2016-06-24_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMG_2016-11-05_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNK_2016-11-15_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HNG_2016-12-22_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGM_2017-03-21_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KGP_2017-09-27_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHP_2017-09-27_final
2017-10-27 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2017-10-27_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HMJ_2017-11-13_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHM_2018-01-05_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2018-02-11_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGN_2018-05-05_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPG_2018-05-16_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JHN_2018-06-14_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMH_2018-06-18_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-17_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-17_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-08-13_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-16_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLJ_2018-08-30_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPH_2018-09-03_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-09-06_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-10-22_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2018-12-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-12-25_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2018-12-28 11:56:33	ga_s2am_ard_3-2-1_50HLK_2018-12-28_final
2019-06-19 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-06-19_final
2019-07-09 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-09_final
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-01-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2020-01-12_final.stac-item
2020-01-19 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-01-19_final.stac-item
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final
2020-04-28 11:46:43	ga_s2am_ard_3-2-1_50HMK_2020-04-28_final
2020-04-28 11:47:09	ga_s2am_ard_3-2-1_50HNH_2020-04-28_final
2020-11-07 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-11-07_final.stac-item
2020-12-04 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2020-12-04_final
2020-12-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-24_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-01-09 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-09_final
2021-01-09 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-01-09_final
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final
2021-02-08 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-08_final
2021-02-09 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-02-09_final.stac-item
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final
2021-02-15 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-02-15_final.stac-item
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-03-10_final
2021-03-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-14_final
2021-03-14 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-03-14_final
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final
2021-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-03-24_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-05-23 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-05-23_final
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final.stac-item
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-06-22 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-22_final
2021-06-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-06-28_final
2021-07-02 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-07-02_final.stac-item
2021-07-08 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-07-08_final
2021-07-11 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-11_final
2021-10-23 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-23_final.stac-item
2021-11-12 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-11-12_final
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_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

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