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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGM_2016-01-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGL_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HLG_2016-04-19_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HNK_2016-05-12_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPG_2016-09-26_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHQ_2016-10-12_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMH_2016-12-15_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HNK_2017-04-07_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-27_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGN_2017-08-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGP_2017-10-07_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-12-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMG_2017-12-30_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HPG_2017-12-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_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_49JGM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLJ_2018-03-13_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMH_2018-03-20_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMG_2018-04-29_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMG_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMG_2018-05-22_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNH_2018-06-18_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGN_2018-06-24_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPH_2018-08-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNG_2018-08-07_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final
2018-11-15 11:47:01	ga_s2am_ard_3-2-1_50HNH_2018-11-15_final
2018-12-05 11:46:29	ga_s2am_ard_3-2-1_50HNK_2018-12-05_final
2018-12-18 11:57:00	ga_s2am_ard_3-2-1_50HLH_2018-12-18_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-21_final
2019-01-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-01-23_final.stac-item
2019-06-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-06-30_final.stac-item
2019-08-05 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-08-05_final
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-10-24 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-24_final
2019-11-13 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-11-13_final
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2020-02-14 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-02-14_final
2020-02-17 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-02-17_final.stac-item
2020-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2020-04-27_final
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-10-25 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-25_final
2020-10-25 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-10-25_final
2020-11-24 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-11-24_final.stac-item
2021-01-06 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-06_final.stac-item
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final
2021-01-10 11:37:22	ga_s2am_ard_3-2-1_50HPG_2021-01-10_final.stac-item
2021-01-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-16_final.stac-item
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-03-14 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-14_final.stac-item
2021-04-13 11:47:11	ga_s2am_ard_3-2-1_50HPG_2021-04-13_final.stac-item
2021-04-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2021-04-26_final.stac-item
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-06-15 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-15_final.stac-item
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final
2021-07-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-07-28_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-17_final
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final
2021-10-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2022-01-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-01-07_final
2022-02-23 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-02-23_final
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-04-01 11:56:32	ga_s2am_ard_3-2-1_50HNK_2022-04-01_final
2022-08-22 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-08-22_final.stac-item
2022-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2022-10-08_final.stac-item
2022-10-18 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-18_final.stac-item
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-01-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-01-22_final.stac-item
2023-02-05 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-02-05_final.stac-item
2023-02-28 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-02-28_final.stac-item
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final.stac-item
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-08_final.stac-item
2023-07-28 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-28_final.stac-item
2023-08-17 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-17_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_final.stac-item
2023-09-09 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-09-09_final.stac-item
2023-09-10 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-09-10_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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