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_50HNJ_2015-10-22_final.stac-item
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2015-10-22_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMK_2015-11-21_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHQ_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGM_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLJ_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGM_2016-01-09_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGM_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-10-16_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMG_2016-11-15_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMG_2016-12-25_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HLH_2017-03-25_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHS_2017-09-27_final.stac-item
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_50HNG_2017-11-20_final.stac-item
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-06_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HNH_2018-02-18_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLK_2018-03-13_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-03-19_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNH_2018-04-09_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMK_2018-04-29_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLJ_2018-05-22_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HNG_2018-06-15_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-07-14_final
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-27_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLJ_2018-08-30_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-09-12_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-02_final
2018-11-14 12:14:50	ga_s2am_ard_3-2-1_49JGM_2018-11-14_final
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final
2019-02-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-02-23_final
2019-03-05 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-03-05_final
2019-04-24 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-04-24_final
2019-05-17 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-17_final
2019-08-25 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-08-25_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2019-12-23 11:57:14	ga_s2am_ard_3-2-1_50HMG_2019-12-23_final.stac-item
2020-03-25 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final.stac-item
2020-07-07 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-07_final
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-24 11:46:39	ga_s2am_ard_3-2-1_50HNK_2020-11-24_final
2020-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-11-30_final.stac-item
2021-01-09 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-09_final
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final
2021-03-30 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-03-30_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-16 11:56:34	ga_s2am_ard_3-2-1_50HLK_2021-04-16_final
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-04-29_final
2021-05-26 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-26_final
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final.stac-item
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-07-08 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-08_final
2021-07-25 11:57:17	ga_s2am_ard_3-2-1_50HLH_2021-07-25_final
2021-08-04 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-08-04_final
2021-08-17 12:05:32	ga_s2am_ard_3-2-1_49JGK_2021-08-17_final
2021-08-27 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-27_final
2021-12-05 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-12-05_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2021-12-25 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-12-25_final
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-02-20 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-02-20_final
2022-02-26 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-02-26_final.stac-item
2022-03-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-05_final
2022-04-01 11:56:32	ga_s2am_ard_3-2-1_50HNK_2022-04-01_final
2022-04-01 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-04-01_final
2022-04-01 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-01_final.stac-item
2022-07-13 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-13_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2022-12-30 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-30_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2023-02-12 11:47:19	ga_s2am_ard_3-2-1_50HNG_2023-02-12_final.stac-item
2023-04-06 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-06_final.stac-item
2023-04-20 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-04-20_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-06-02 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-02_final.stac-item
2023-09-16 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-09-16_final.stac-item
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-10-16_final.stac-item
2023-12-19 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-12-19_final.stac-item
2024-01-01 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2024-01-01_final.stac-item
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final.stac-item
2024-02-17 11:47:22	ga_s2am_ard_3-2-1_50HMG_2024-02-17_final.stac-item
2024-02-20 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2024-02-20_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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