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
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQH_2016-05-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-06-07_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-10-05_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2016-12-08_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHR_2016-12-24_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPG_2016-12-25_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HPK_2017-07-03_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-10-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLH_2017-12-10_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPJ_2018-01-19_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JKN_2018-02-01_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMG_2018-03-10_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMG_2018-03-13_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-04-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HNG_2018-05-19_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPG_2018-09-03_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-11-01_final
2018-12-25 11:47:07	ga_s2am_ard_3-2-1_50HLH_2018-12-25_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-03-11 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-11_final
2019-03-12 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-03-12_final.stac-item
2019-05-17 11:56:03	ga_s2am_ard_3-2-1_50JKN_2019-05-17_final
2019-06-30 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-06-30_final
2019-07-20 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-07-20_final.stac-item
2019-08-19 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-08-19_final.stac-item
2019-08-28 12:05:57	ga_s2am_ard_3-2-1_50JKN_2019-08-28_final
2019-08-29 11:37:18	ga_s2am_ard_3-2-1_50HQG_2019-08-29_final.stac-item
2019-09-11 11:46:36	ga_s2am_ard_3-2-1_50HNK_2019-09-11_final
2019-09-30 12:15:01	ga_s2am_ard_3-2-1_49JFM_2019-09-30_final
2019-11-10 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-11-10_final
2019-11-23 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final
2019-12-13 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-12-13_final
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2020-02-11 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-11_final
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-05-28 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-05-28_final.stac-item
2020-06-20 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-06-20_final
2020-06-27 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-06-27_final.stac-item
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final
2020-07-17 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-07-17_final
2020-09-18 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-09-18_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-11-13 12:15:03	ga_s2am_ard_3-2-1_49JFM_2020-11-13_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2021-01-03 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-01-03_final
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final
2021-02-25 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-25_final
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-02-28_final
2021-04-06 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-06_final
2021-04-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2021-04-19_final
2021-05-23 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-05-23_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-08-01 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-08-01_final.stac-item
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2021-09-30 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-09-30_final
2021-10-29 12:15:04	ga_s2am_ard_3-2-1_49JFM_2021-10-29_final
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final.stac-item
2021-11-22 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-11-22_final
2021-12-25 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-12-25_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2022-01-08 11:47:16	ga_s2am_ard_3-2-1_50HLH_2022-01-08_final
2022-01-21 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-21_final
2022-01-31 11:55:59	ga_s2am_ard_3-2-1_50JKN_2022-01-31_final
2022-02-13 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-02-13_final
2022-02-24 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2022-02-24_final
2022-03-18 12:15:03	ga_s2am_ard_3-2-1_49JFM_2022-03-18_final
2022-07-07 11:46:47	ga_s2am_ard_3-2-1_50HPK_2022-07-07_final
2022-09-02 11:37:38	ga_s2am_ard_3-2-1_50HNG_2022-09-02_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-10-08 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-10-08_final.stac-item
2022-10-24 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-10-24_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2023-01-02 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-01-02_final.stac-item
2023-02-05 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-02-05_final.stac-item
2023-04-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-04-06_final.stac-item
2023-07-05 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-07-05_final.stac-item
2023-09-30 11:47:29	ga_s2am_ard_3-2-1_50HLG_2023-09-30_final.stac-item
2023-10-16 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-10-16_final.stac-item
2023-10-20 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-10-20_final.stac-item
2023-11-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-05_final.stac-item
2023-11-25 12:05:50	ga_s2am_ard_3-2-1_50JKN_2023-11-25_final.stac-item
2023-12-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-12-22_final.stac-item
2024-01-11 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-11_final.stac-item
2024-01-11 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-11_final.stac-item
2024-01-24 12:04:54	ga_s2am_ard_3-2-1_49JGM_2024-01-24_final.stac-item
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final.stac-item
2024-02-14 11:37:15	ga_s2am_ard_3-2-1_50HQG_2024-02-14_final.stac-item
2024-03-11 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-11_final.stac-item
2024-04-24 11:36:40	ga_s2am_ard_3-2-1_50HPK_2024-04-24_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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