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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGL_2015-12-17_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGM_2016-03-09_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGN_2016-04-15_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HLK_2016-08-20_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHR_2016-09-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGL_2016-11-01_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-01-03_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-02_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNG_2017-06-13_final.stac-item
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-10-30_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JFM_2018-01-08_final
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGM_2018-01-18_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMK_2018-01-19_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHS_2018-01-28_final.stac-item
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-02-07_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
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_50HMG_2018-03-13_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLG_2018-04-02_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGJ_2018-04-15_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMJ_2018-04-29_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLG_2018-05-22_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGM_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLG_2018-07-31_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMK_2018-08-07_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGJ_2018-08-13_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLG_2018-08-20_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-09-06_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JFM_2018-09-25_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HMK_2018-09-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_49KHR_2018-12-01_final
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-08-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-08-18_final
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final
2020-01-25 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-25_final.stac-item
2020-03-02 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-03-02_final
2020-05-08 11:47:23	ga_s2am_ard_3-2-1_50HNG_2020-05-08_final.stac-item
2020-09-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-09-24_final
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2020-10-28 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-28_final
2020-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-11-07_final
2020-11-14 11:47:28	ga_s2am_ard_3-2-1_50HMG_2020-11-14_final.stac-item
2020-12-10 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-12-10_final
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-03-20_final
2021-04-29 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-04-29_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-04-29_final
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-15 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-06-15_final
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final
2021-07-08 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-07-08_final
2021-07-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-07-28_final
2021-08-01 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-01_final.stac-item
2021-09-03 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-03_final
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final.stac-item
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-09-26 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-09-26_final
2021-12-05 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-05_final
2021-12-15 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-12-15_final
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final
2022-01-18 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-01-18_final
2022-02-07 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-02-07_final
2022-02-26 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-02-26_final
2022-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-04-27_final
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final
2022-07-10 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-07-10_final
2022-10-05 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-10-05_final.stac-item
2022-10-18 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-10-18_final.stac-item
2022-10-21 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-10-21_final.stac-item
2022-12-07 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-12-07_final.stac-item
2023-01-12 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-01-12_final.stac-item
2023-06-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-11_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_final.stac-item
2023-10-13 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-10-13_final.stac-item
2023-11-02 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-11-02_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-12-28 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-12-28_final.stac-item
2024-01-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2024-01-27_final.stac-item
2024-02-10 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2024-02-10_final.stac-item
2024-02-20 11:56:49	ga_s2am_ard_3-2-1_50HMJ_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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