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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HNK_2015-11-14_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGL_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGL_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNK_2015-12-21_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGQ_2015-12-30_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HNG_2016-01-07_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGN_2016-04-15_final.stac-item
2016-04-29 11:47:17	ga_s2am_ard_3-2-1_50HNG_2016-04-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNJ_2016-06-18_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLJ_2016-09-19_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMH_2016-12-15_final
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-04-13_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-07-06_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HLK_2017-08-05_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGP_2017-10-17_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMG_2018-01-19_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLH_2018-02-08_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMH_2018-02-11_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMG_2018-03-20_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPH_2018-07-25_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPH_2018-08-17_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGM_2018-09-25_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-11-11_final.stac-item
2018-12-05 11:46:29	ga_s2am_ard_3-2-1_50HNK_2018-12-05_final
2019-02-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2019-02-23_final
2019-03-31 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-03-31_final
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-10_final.stac-item
2019-06-13 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-06-13_final.stac-item
2019-08-02 11:47:25	ga_s2am_ard_3-2-1_50HNG_2019-08-02_final.stac-item
2019-08-31 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-08-31_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2019-11-30 11:47:13	ga_s2am_ard_3-2-1_50HLH_2019-11-30_final
2020-01-25 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-01-25_final
2020-01-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2020-01-28_final
2020-03-25 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final.stac-item
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final
2020-05-17 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-05-17_final
2020-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-18_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-06-27 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-06-27_final
2020-09-11 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-09-11_final
2020-09-15 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-15_final
2020-10-04 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-10-04_final
2021-01-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-02_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-01-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-22_final
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final
2021-02-15 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-02-15_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-03-20_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-03-20_final
2021-04-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2021-04-23_final.stac-item
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final
2021-05-16 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-05-16_final
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-06-18_final
2021-08-28 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-08-28_final.stac-item
2021-09-09 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-09-09_final.stac-item
2021-09-13 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-13_final
2021-12-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-12-12_final
2021-12-25 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-12-25_final
2022-01-01 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-01_final
2022-01-17 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-01-17_final
2022-01-31 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-31_final
2022-02-07 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-02-07_final
2022-02-10 11:56:29	ga_s2am_ard_3-2-1_50HNK_2022-02-10_final
2022-02-16 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-02-16_final
2022-02-20 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-02-20_final
2022-02-23 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-02-23_final
2022-06-17 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-06-17_final
2022-07-23 12:05:26	ga_s2am_ard_3-2-1_49JGL_2022-07-23_final
2022-09-25 11:46:44	ga_s2am_ard_3-2-1_50HNK_2022-09-25_final.stac-item
2022-09-28 11:56:37	ga_s2am_ard_3-2-1_50HNK_2022-09-28_final.stac-item
2022-11-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-11-04_final.stac-item
2022-12-07 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-12-07_final.stac-item
2022-12-23 12:15:08	ga_s2am_ard_3-2-1_49JGL_2022-12-23_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-04-12 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-04-12_final.stac-item
2023-04-22 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-04-22_final.stac-item
2023-05-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2023-05-02_final.stac-item
2023-07-08 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-08_final.stac-item
2023-09-09 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-09-09_final.stac-item
2023-11-08 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-11-08_final.stac-item
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-11-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2023-11-28_final.stac-item
2024-01-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2024-01-15_final.stac-item
2024-01-27 12:14:50	ga_s2am_ard_3-2-1_49JGM_2024-01-27_final.stac-item
2024-02-07 11:46:30	ga_s2am_ard_3-2-1_50HNK_2024-02-07_final.stac-item
2024-02-14 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-02-14_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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