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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_50HQK_2015-08-30_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHR_2015-10-21_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLK_2016-03-03_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-04-08_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HMK_2016-06-21_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KGR_2016-09-25_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-12-11_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-21_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-22_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLL_2017-02-26_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQH_2017-03-05_final
2018-12-14 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-14_final
2019-01-20 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-01-20_final
2019-02-12 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-12_final
2019-02-13 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-02-13_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-02-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2019-02-23_final
2019-03-11 12:04:00	ga_s2am_ard_3-2-1_49KHR_2019-03-11_final
2019-03-14 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-03-14_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-05-17 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-17_final
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final
2019-08-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-03-06 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-06_final
2020-11-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2020-11-10_final
2020-11-13 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-11-13_final
2021-08-28 11:36:40	ga_s2am_ard_3-2-1_50HPK_2021-08-28_final
2021-08-31 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-08-31_final
2021-11-06 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-11-06_final
2021-11-28 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-28_final
2021-11-29 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-11-29_final
2021-12-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-12-02_final
2021-12-05 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-12-05_final
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final
2021-12-26 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-12-26_final
2021-12-29 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-12-29_final
2022-01-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-01-04_final
2022-01-04 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-01-04_final
2022-01-08 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2022-01-08_final
2022-01-11 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-01-11_final
2022-03-06 11:37:07	ga_s2am_ard_3-2-1_50HQH_2022-03-06_final
2022-03-09 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-03-09_final
2022-03-09 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-03-09_final
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-04-14 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2022-04-14_final
2022-04-21 11:56:30	ga_s2am_ard_3-2-1_50JLL_2022-04-21_final
2022-05-15 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-05-15_final
2022-06-14 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-06-14_final
2022-06-30 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-06-30_final
2022-08-22 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-08-22_final
2022-08-26 11:47:06	ga_s2am_ard_3-2-1_50HQH_2022-08-26_final.stac-item
2022-11-04 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-11-04_final.stac-item
2022-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-11-10_final.stac-item
2023-01-06 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-01-06_final.stac-item
2023-01-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2023-01-22_final.stac-item
2023-03-14 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-14_final.stac-item
2023-03-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-17_final.stac-item
2023-04-16 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-04-16_final.stac-item
2023-04-20 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-04-20_final.stac-item
2023-04-23 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-04-23_final.stac-item
2023-05-20 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final.stac-item
2023-06-29 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-29_final.stac-item
2023-07-15 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-15_final.stac-item
2023-07-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-07-19_final.stac-item
2023-07-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-07-22_final.stac-item
2023-08-01 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-01_final.stac-item
2023-08-04 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-04_final.stac-item
2023-09-27 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2023-09-27_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final.stac-item
2023-11-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-05_final.stac-item
2023-11-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-11-06_final.stac-item
2023-11-16 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-11-16_final.stac-item
2023-11-29 11:46:54	ga_s2am_ard_3-2-1_50HPH_2023-11-29_final.stac-item
2023-12-16 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2023-12-16_final.stac-item
2024-01-01 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-01-01_final.stac-item
2024-01-07 12:13:54	ga_s2am_ard_3-2-1_49KGR_2024-01-07_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_final.stac-item
2024-01-18 11:46:34	ga_s2am_ard_3-2-1_50HQJ_2024-01-18_final.stac-item
2024-02-04 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2024-02-04_final.stac-item
2024-02-10 11:56:36	ga_s2am_ard_3-2-1_50HLK_2024-02-10_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final.stac-item
2024-02-27 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2024-02-27_final.stac-item
2024-03-05 11:37:07	ga_s2am_ard_3-2-1_50HPH_2024-03-05_final.stac-item
2024-03-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-11_final.stac-item
2024-03-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-18_final.stac-item
2024-03-31 11:56:39	ga_s2am_ard_3-2-1_50HLK_2024-03-31_final.stac-item
2024-04-10 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-04-10_final.stac-item
2024-04-14 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-04-14_final.stac-item
2024-04-27 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2024-04-27_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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