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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHQ_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHR_2015-10-28_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGK_2016-01-26_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGR_2016-03-09_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HLK_2016-05-12_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKT_2016-10-12_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGP_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-12-14_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-01-20_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-22_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-11_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-06-22_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2017-09-17_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JFM_2017-09-20_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2017-11-19_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMH_2018-04-09_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPK_2018-06-18_final
2019-01-27 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-01-27_final
2019-02-06 11:56:27	ga_s2am_ard_3-2-1_50HNK_2019-02-06_final
2019-02-19 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-19_final.stac-item
2019-05-24 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-05-24_final.stac-item
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-06-12 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-06-12_final
2019-07-13 11:47:15	ga_s2am_ard_3-2-1_50HMH_2019-07-13_final
2019-08-01 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-08-01_final
2019-08-25 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-08-25_final
2019-09-30 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2019-09-30_final
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final
2020-01-15 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-15_final
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-04-17_final
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final
2020-07-04 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-07-04_final.stac-item
2020-07-16 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-07-16_final
2020-09-12 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-09-12_final
2020-09-15 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-09-15_final
2020-09-18 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-09-18_final
2020-09-28 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-09-28_final
2020-10-05 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-10-05_final
2020-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2020-11-13_final
2020-12-10 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2020-12-10_final
2021-01-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-29_final.stac-item
2021-04-16 11:57:14	ga_s2am_ard_3-2-1_50HMG_2021-04-16_final.stac-item
2021-08-24 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-08-24_final
2021-08-30 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-08-30_final
2021-10-13 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-13_final
2021-10-29 12:13:59	ga_s2am_ard_3-2-1_49KHR_2021-10-29_final
2021-10-30 11:47:25	ga_s2am_ard_3-2-1_50HNG_2021-10-30_final.stac-item
2021-11-29 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-29_final
2021-12-22 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-12-22_final
2022-01-11 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-11_final
2022-03-06 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-06_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-05-15 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-05-15_final
2022-05-31 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-05-31_final
2022-06-24 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-06-24_final.stac-item
2022-06-30 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-06-30_final
2022-06-30 11:57:19	ga_s2am_ard_3-2-1_50HMH_2022-06-30_final
2022-07-23 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-07-23_final
2022-08-29 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-08-29_final
2022-09-22 11:37:28	ga_s2am_ard_3-2-1_50HPG_2022-09-22_final.stac-item
2022-11-20 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-11-20_final.stac-item
2022-11-24 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-11-24_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2022-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2022-12-21_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-01-26 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-26_final.stac-item
2023-02-02 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-02-02_final.stac-item
2023-03-07 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-03-07_final.stac-item
2023-03-17 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-03-17_final.stac-item
2023-03-20 12:04:27	ga_s2am_ard_3-2-1_49KGP_2023-03-20_final.stac-item
2023-04-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-04-03_final.stac-item
2023-04-30 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-04-30_final.stac-item
2023-06-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-25_final.stac-item
2023-07-02 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-07-02_final.stac-item
2023-08-08 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-08-08_final.stac-item
2023-08-14 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-14_final.stac-item
2023-08-14 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-14_final.stac-item
2023-08-31 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-08-31_final.stac-item
2023-08-31 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-31_final.stac-item
2023-09-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-09-10_final.stac-item
2023-09-17 11:37:06	ga_s2am_ard_3-2-1_50HQH_2023-09-17_final.stac-item
2023-09-27 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-09-27_final.stac-item
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final.stac-item
2023-11-19 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-11-19_final.stac-item
2023-12-06 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2023-12-06_final.stac-item
2023-12-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2023-12-08_final.stac-item
2024-01-01 11:56:22	ga_s2am_ard_3-2-1_50JLL_2024-01-01_final.stac-item
2024-01-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2024-01-15_final.stac-item
2024-01-25 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2024-01-25_final.stac-item
2024-02-04 11:36:34	ga_s2am_ard_3-2-1_50HPK_2024-02-04_final.stac-item
2024-02-27 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2024-02-27_final.stac-item
2024-03-11 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-11_final.stac-item
2024-03-18 11:47:15	ga_s2am_ard_3-2-1_50HLH_2024-03-18_final.stac-item
2024-05-07 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-05-07_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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