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_49KGR_2015-10-21_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLG_2016-04-02_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HMK_2016-06-21_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-09-22_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHR_2016-11-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLL_2016-11-18_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGR_2016-12-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2017-11-19_final
2018-12-14 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-14_final
2019-01-13 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2019-01-13_final
2019-01-31 11:37:00	ga_s2am_ard_3-2-1_50HQH_2019-01-31_final
2019-02-09 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-02-09_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-02-22 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-02-22_final.stac-item
2019-03-02 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-02_final
2019-04-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-04-20_final
2019-05-14 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2019-05-14_final
2019-05-14 11:46:57	ga_s2am_ard_3-2-1_50HQH_2019-05-14_final
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2019-12-09 12:14:28	ga_s2am_ard_3-2-1_49JHN_2019-12-09_final
2020-03-06 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-06_final
2020-03-06 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-06_final.stac-item
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-05-15 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-05-15_final
2020-08-15 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-08-15_final.stac-item
2020-08-15 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-15_final
2020-08-19 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-08-19_final
2020-08-19 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-08-19_final
2020-08-29 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-08-29_final
2020-08-29 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-08-29_final
2020-09-02 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-09-02_final
2020-09-21 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-09-21_final
2020-12-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-12-10_final
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-09_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-08-24 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-08-24_final
2021-11-02 11:56:44	ga_s2am_ard_3-2-1_50HLK_2021-11-02_final
2021-11-15 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-11-15_final
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final
2021-12-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-12-02_final
2021-12-19 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-12-19_final
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final
2022-02-10 11:55:55	ga_s2am_ard_3-2-1_50JLN_2022-02-10_final
2022-03-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-06_final
2022-03-09 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-03-09_final
2022-03-09 11:47:28	ga_s2am_ard_3-2-1_50HNG_2022-03-09_final.stac-item
2022-03-12 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-03-12_final
2022-04-25 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2022-04-25_final
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-06-30 11:56:38	ga_s2am_ard_3-2-1_50JLL_2022-06-30_final
2022-07-03 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-07-03_final
2022-07-10 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-07-10_final
2022-08-26 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-08-26_final.stac-item
2022-10-28 11:56:14	ga_s2am_ard_3-2-1_50JLM_2022-10-28_final.stac-item
2022-11-04 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-11-04_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 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2022-11-24_final.stac-item
2022-12-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-12-04_final.stac-item
2022-12-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-12-10_final.stac-item
2022-12-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2022-12-24_final.stac-item
2022-12-27 11:56:24	ga_s2am_ard_3-2-1_50JLL_2022-12-27_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-03-17 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-03-17_final.stac-item
2023-03-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-17_final.stac-item
2023-04-23 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-04-23_final.stac-item
2023-06-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-25_final.stac-item
2023-07-12 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-07-12_final.stac-item
2023-07-15 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-15_final.stac-item
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final.stac-item
2023-08-04 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-04_final.stac-item
2023-08-18 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-08-18_final.stac-item
2023-08-31 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-31_final.stac-item
2023-09-17 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-09-17_final.stac-item
2023-11-02 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-11-02_final.stac-item
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final.stac-item
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final.stac-item
2023-11-28 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2023-11-28_final.stac-item
2023-12-05 12:05:57	ga_s2am_ard_3-2-1_50JLM_2023-12-05_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 12:14:21	ga_s2am_ard_3-2-1_49KGP_2023-12-08_final.stac-item
2024-01-21 11:56:03	ga_s2am_ard_3-2-1_50JLM_2024-01-21_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-02-07 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2024-02-07_final.stac-item
2024-02-10 11:56:07	ga_s2am_ard_3-2-1_50JLM_2024-02-10_final.stac-item
2024-02-20 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-02-20_final.stac-item
2024-02-27 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2024-02-27_final.stac-item
2024-03-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-08_final.stac-item
2024-03-21 11:56:31	ga_s2am_ard_3-2-1_50HNK_2024-03-21_final.stac-item
2024-03-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final.stac-item
2024-04-07 11:46:36	ga_s2am_ard_3-2-1_50HNK_2024-04-07_final.stac-item
2024-04-10 11:56:31	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 11:47:26	ga_s2am_ard_3-2-1_50HMG_2024-04-27_final.stac-item
2024-05-14 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2024-05-14_final.stac-item
2024-05-17 11:47:26	ga_s2am_ard_3-2-1_50HMG_2024-05-17_final.stac-item
2024-05-27 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2024-05-27_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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