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
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGM_2016-01-19_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HMK_2016-02-12_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNG_2016-05-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HNG_2016-11-02_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-12-11_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMJ_2017-04-07_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGL_2017-05-20_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQH_2017-07-10_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HPH_2017-10-18_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HNG_2017-11-20_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_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_49KHR_2018-03-09_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPG_2018-03-30_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPK_2018-03-30_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HNG_2018-04-26_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-04-26_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HQJ_2018-05-29_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPG_2018-07-08_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPG_2018-07-15_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNJ_2018-08-27_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLK_2018-08-30_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLH_2018-09-06_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HPK_2018-10-26_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPJ_2018-11-02_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQJ_2018-11-02_final
2018-11-21 12:05:48	ga_s2am_ard_3-2-1_50JKN_2018-11-21_final
2018-11-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-11-25_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2018-12-12 11:36:25	ga_s2am_ard_3-2-1_50HQK_2018-12-12_final
2018-12-22 11:37:13	ga_s2am_ard_3-2-1_50HPG_2018-12-22_final.stac-item
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-01-03 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-01-03_final
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final
2019-09-14 11:56:39	ga_s2am_ard_3-2-1_50HLK_2019-09-14_final
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-10-30 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-10-30_final
2019-11-13 11:57:22	ga_s2am_ard_3-2-1_50HMG_2019-11-13_final.stac-item
2019-11-16 12:04:30	ga_s2am_ard_3-2-1_49KHP_2019-11-16_final
2019-12-06 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-12-06_final
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final
2019-12-30 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-12-30_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-02-08 11:47:06	ga_s2am_ard_3-2-1_50HLH_2020-02-08_final
2020-02-25 11:36:33	ga_s2am_ard_3-2-1_50HPK_2020-02-25_final
2020-03-16 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-16_final.stac-item
2020-05-21 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-05-21_final
2020-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-07-04 11:37:26	ga_s2am_ard_3-2-1_50HPG_2020-07-04_final.stac-item
2020-08-23 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-08-23_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-14 11:47:28	ga_s2am_ard_3-2-1_50HMG_2020-11-14_final.stac-item
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-12-04 11:46:39	ga_s2am_ard_3-2-1_50HMK_2020-12-04_final
2021-01-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-03_final
2021-01-09 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-01-09_final
2021-01-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-23_final
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-02-19 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-02-19_final
2021-03-07 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-07_final
2021-03-10 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-03-10_final
2021-03-14 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-03-14_final
2021-04-29 12:05:26	ga_s2am_ard_3-2-1_49JGK_2021-04-29_final
2021-05-03 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2021-05-03_final
2021-05-30 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-05-30_final
2021-06-19 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-06-19_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final
2021-07-08 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-08_final
2021-07-11 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-11_final
2021-08-18 11:37:20	ga_s2am_ard_3-2-1_50HQG_2021-08-18_final.stac-item
2021-09-07 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-09-07_final.stac-item
2021-12-09 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-12-09_final
2022-01-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-01-27_final
2022-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2022-06-07_final.stac-item
2022-08-02 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-08-02_final.stac-item
2022-08-02 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-08-02_final
2022-10-15 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2022-10-15_final.stac-item
2022-10-25 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-10-25_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-05-16 11:56:15	ga_s2am_ard_3-2-1_50JKM_2023-05-16_final.stac-item
2023-06-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-01_final.stac-item
2023-06-02 11:47:06	ga_s2am_ard_3-2-1_50HPH_2023-06-02_final.stac-item
2023-06-02 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-02_final.stac-item
2023-06-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2023-06-15_final.stac-item
2023-09-16 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-09-16_final.stac-item
2023-11-29 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-29_final.stac-item
2023-12-19 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2023-12-19_final.stac-item
2023-12-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-12-25_final.stac-item
2024-03-14 12:04:56	ga_s2am_ard_3-2-1_49JHM_2024-03-14_final.stac-item
2024-03-14 12:05:15	ga_s2am_ard_3-2-1_49JGL_2024-03-14_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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