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 12:14:27	ga_s2am_ard_3-2-1_49JGL_2015-10-21_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JFM_2016-02-08_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGM_2016-04-18_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGJ_2016-05-15_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2016-12-01_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-21_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPH_2016-12-22_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-04-03_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGP_2017-08-01_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2017-11-19_final
2019-01-13 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-01-13_final
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final
2019-01-30 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-01-30_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-09 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-02-09_final
2019-02-12 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-12_final
2019-02-19 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-02-19_final
2019-02-20 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-02-20_final
2019-02-22 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-02-22_final
2019-05-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-05-10_final
2019-05-17 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-05-17_final
2019-07-22 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-22_final
2019-08-31 12:13:40	ga_s2am_ard_3-2-1_49KHS_2019-08-31_final.stac-item
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-11-29 12:14:41	ga_s2am_ard_3-2-1_49JGN_2019-11-29_final
2019-12-09 12:14:24	ga_s2am_ard_3-2-1_49KGP_2019-12-09_final
2020-01-25 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-01-25_final
2020-07-03 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-03_final
2020-07-20 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-07-20_final
2020-07-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-30_final
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-08-15 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-08-15_final
2020-08-19 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-08-19_final
2020-08-29 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-08-29_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-01_final
2020-09-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-01_final
2020-09-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-09-04_final
2020-09-04 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-04_final
2020-09-04 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-09-04_final
2020-10-01 12:05:14	ga_s2am_ard_3-2-1_49JFM_2020-10-01_final
2020-10-04 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-04_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2020-12-03 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-03_final
2021-01-19 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-01-19_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-09-20 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-09-20_final.stac-item
2021-10-26 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-26_final
2021-11-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-11-05_final
2021-11-28 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-11-28_final
2021-12-29 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2021-12-29_final
2022-04-18 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-04-18_final
2022-04-28 11:47:19	ga_s2am_ard_3-2-1_50HLH_2022-04-28_final
2022-05-04 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2022-05-04_final
2022-05-05 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-05-05_final
2022-05-31 11:56:44	ga_s2am_ard_3-2-1_50HMK_2022-05-31_final
2022-05-31 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-05-31_final
2022-06-03 12:04:26	ga_s2am_ard_3-2-1_49KGQ_2022-06-03_final
2022-06-07 11:47:10	ga_s2am_ard_3-2-1_50HPH_2022-06-07_final
2022-06-23 12:04:46	ga_s2am_ard_3-2-1_49KHP_2022-06-23_final
2022-06-26 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-06-26_final
2022-06-27 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-06-27_final
2022-07-27 11:47:20	ga_s2am_ard_3-2-1_50HMH_2022-07-27_final
2022-08-26 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-26_final
2022-08-29 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-29_final
2022-10-21 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-10-21_final.stac-item
2022-11-21 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-11-21_final.stac-item
2022-11-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-11-24_final.stac-item
2022-12-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-01_final.stac-item
2022-12-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-12-04_final.stac-item
2022-12-31 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2022-12-31_final.stac-item
2023-02-02 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-02-02_final.stac-item
2023-04-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-16_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-23 11:47:05	ga_s2am_ard_3-2-1_50HPH_2023-05-23_final.stac-item
2023-06-02 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-02_final.stac-item
2023-06-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-12_final.stac-item
2023-07-02 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-07-02_final.stac-item
2023-08-10 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-08-10_final.stac-item
2023-08-21 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2023-08-21_final.stac-item
2023-08-31 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-31_final.stac-item
2023-10-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-10-07_final.stac-item
2023-10-19 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-19_final.stac-item
2023-10-20 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-10-20_final.stac-item
2023-10-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-10-26_final.stac-item
2023-11-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-05_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_final.stac-item
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-01-31 11:56:35	ga_s2am_ard_3-2-1_50HLK_2024-01-31_final.stac-item
2024-02-06 12:13:54	ga_s2am_ard_3-2-1_49KGR_2024-02-06_final.stac-item
2024-04-06 12:13:56	ga_s2am_ard_3-2-1_49KGR_2024-04-06_final.stac-item
2024-04-07 11:46:56	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-05-17 11:47:16	ga_s2am_ard_3-2-1_50HLH_2024-05-17_final.stac-item
2024-05-20 11:56:37	ga_s2am_ard_3-2-1_50HMK_2024-05-20_nrt.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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