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_49KGP_2015-10-21_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHQ_2015-12-17_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2016-11-01_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2016-11-14_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQK_2016-12-22_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HQH_2017-01-24_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JHN_2017-03-14_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLH_2017-06-06_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-08-01_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HPH_2017-10-31_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HNK_2017-11-13_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2017-11-19_final
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGM_2018-01-18_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JKM_2018-02-21_final
2019-01-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2019-01-30_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-03-02 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-02_final
2019-04-11 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-04-11_final
2019-05-11 11:36:38	ga_s2am_ard_3-2-1_50HQK_2019-05-11_final
2019-07-16 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-16_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-08-12 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-08-12_final
2019-09-17 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2019-09-17_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-11-26_final.stac-item
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-05-17 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-05-17_final
2020-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-05-18_final
2020-07-20 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-20_final
2020-08-15 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-15_final
2020-08-26 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-08-26_final
2020-09-04 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-04_final
2020-09-05 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-09-05_final
2020-09-12 11:37:25	ga_s2am_ard_3-2-1_50HPG_2020-09-12_final.stac-item
2020-09-18 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-09-18_final
2020-09-21 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-09-21_final
2020-09-22 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-09-22_final
2020-09-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-09-22_final
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-09_final
2021-08-11 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-08-11_final
2021-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-09-19_final
2021-09-23 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-09-23_final
2021-09-26 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-09-26_final
2021-10-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2021-10-10_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-10-10 11:47:07	ga_s2am_ard_3-2-1_50HPH_2021-10-10_final
2021-12-06 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-12-06_final
2021-12-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-12-06_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2021-12-19 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-12-19_final
2022-01-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-05_final
2022-01-08 11:47:08	ga_s2am_ard_3-2-1_50HNH_2022-01-08_final
2022-01-11 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-01-11_final
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-03-22 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-03-22_final
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-05-18_final
2022-05-31 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-05-31_final
2022-06-24 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-06-24_final
2022-06-27 11:47:06	ga_s2am_ard_3-2-1_50HQH_2022-06-27_final
2022-06-27 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-06-27_final
2022-06-27 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-06-27_final
2022-07-13 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-07-13_final
2022-08-26 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-08-26_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-11-03 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-11-03_final.stac-item
2022-11-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2022-11-24_final.stac-item
2022-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-11-30_final.stac-item
2023-02-12 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-12_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-05-23 11:47:17	ga_s2am_ard_3-2-1_50HLH_2023-05-23_final.stac-item
2023-06-12 11:47:06	ga_s2am_ard_3-2-1_50HPH_2023-06-12_final.stac-item
2023-07-25 11:56:34	ga_s2am_ard_3-2-1_50HNK_2023-07-25_final.stac-item
2023-08-14 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-14_final.stac-item
2023-08-28 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-28_final.stac-item
2023-08-31 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-31_final.stac-item
2023-09-17 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-09-17_final.stac-item
2023-10-16 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-10-16_final.stac-item
2023-10-20 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-10-20_final.stac-item
2023-10-20 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-10-20_final.stac-item
2023-11-09 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-11-09_final.stac-item
2023-11-19 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-11-19_final.stac-item
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2024-01-11 11:57:04	ga_s2am_ard_3-2-1_50HLH_2024-01-11_final.stac-item
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final.stac-item
2024-01-28 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2024-01-28_final.stac-item
2024-02-14 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-02-14_final.stac-item
2024-03-01 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-01_final.stac-item
2024-04-07 11:46:36	ga_s2am_ard_3-2-1_50HNK_2024-04-07_final.stac-item
2024-04-07 11:46:56	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-04-13 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-04-13_final.stac-item
2024-04-16 12:14:44	ga_s2am_ard_3-2-1_49JGN_2024-04-16_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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