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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNG_2016-04-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMG_2016-07-01_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HNK_2017-01-27_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLJ_2017-02-16_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-04-10_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGM_2017-04-10_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHS_2017-05-13_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMG_2017-08-25_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGN_2017-09-27_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-10-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-10-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMJ_2017-11-20_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLJ_2017-12-03_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGN_2018-01-05_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHN_2018-01-05_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHS_2018-01-05_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGL_2018-01-08_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNH_2018-01-19_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-27_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMJ_2018-03-03_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMK_2018-03-20_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNH_2018-03-20_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HMJ_2018-03-23_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMH_2018-04-09_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPG_2018-04-09_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMH_2018-05-29_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HNG_2018-06-25_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-24_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-09-12_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMJ_2018-09-19_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNH_2018-10-16_final
2018-11-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-11-25_final
2018-12-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-12-25_final
2019-01-04 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-01-04_final.stac-item
2019-01-27 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-01-27_final
2019-02-13 11:47:08	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-02-26 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-02-26_final
2019-04-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-04_final
2019-04-14 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-04-14_final.stac-item
2019-04-24 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-04-24_final.stac-item
2019-07-09 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-09_final
2019-08-05 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-08-05_final
2019-08-15 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-08-15_final.stac-item
2019-09-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-09-27_final
2019-10-14 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-10-14_final
2019-11-30 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2019-11-30_final
2019-12-10 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-12-10_final
2020-01-12 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-12_final
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final
2020-03-28 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-28_final
2020-06-04 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-04_final.stac-item
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-06-16 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-16_final
2020-10-18 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-18_final
2020-10-18 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-10-18_final.stac-item
2020-10-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-25_final
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-03-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-03-14_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-03-24 11:46:36	ga_s2am_ard_3-2-1_50HNK_2021-03-24_final
2021-03-24 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-03-24_final
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final
2021-04-13 11:46:32	ga_s2am_ard_3-2-1_50HNK_2021-04-13_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-23 11:47:02	ga_s2am_ard_3-2-1_50HNH_2021-04-23_final
2021-04-29 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2021-04-29_final
2021-05-03 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-05-03_final.stac-item
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-07-08 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-08_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-08-07 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-08-07_final
2021-08-10 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-10_final
2021-08-17 12:05:32	ga_s2am_ard_3-2-1_49JGK_2021-08-17_final
2021-08-20 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-08-20_final
2021-11-12 11:56:38	ga_s2am_ard_3-2-1_50HMK_2021-11-12_final
2021-12-19 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-12-19_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-02-17 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-02-17_final
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final.stac-item
2023-10-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-10-06_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2023-12-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-12-22_final.stac-item
2024-02-10 11:57:02	ga_s2am_ard_3-2-1_50HMH_2024-02-10_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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