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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-09-11_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMG_2015-12-21_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGM_2016-01-26_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNH_2016-03-20_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLK_2016-10-09_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JLL_2016-10-19_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JKN_2016-12-08_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPH_2017-02-03_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-12_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPJ_2017-05-04_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HPK_2017-10-18_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNK_2017-10-31_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGN_2018-01-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-02-24_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KHQ_2018-04-25_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HPJ_2018-05-09_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPJ_2018-05-19_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQJ_2018-07-15_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-05_final
2018-11-25 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2018-11-25_final
2018-12-11 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-11_final
2018-12-21 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-21_final
2018-12-28 11:56:59	ga_s2am_ard_3-2-1_50HMH_2018-12-28_final
2019-01-10 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-01-10_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-02_final
2019-02-19 12:05:37	ga_s2am_ard_3-2-1_50JKP_2019-02-19_final
2019-05-27 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-05-27_final.stac-item
2019-05-30 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-05-30_final
2019-06-09 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-06-09_final
2019-06-22 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-06-22_final
2019-07-03 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2019-07-03_final
2019-07-13 11:47:15	ga_s2am_ard_3-2-1_50HMH_2019-07-13_final
2019-07-19 12:05:46	ga_s2am_ard_3-2-1_50JKP_2019-07-19_final
2019-07-20 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-20_final
2019-08-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-08-08_final
2019-08-22 11:46:32	ga_s2am_ard_3-2-1_50HQK_2019-08-22_final
2019-11-20 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2019-11-20_final
2019-11-29 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-11-29_final
2020-02-14 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-02-14_final
2020-02-18 11:46:27	ga_s2am_ard_3-2-1_50HPK_2020-02-18_final
2020-03-06 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-06_final
2020-03-25 12:04:39	ga_s2am_ard_3-2-1_50JKT_2020-03-25_final
2020-04-21 11:56:12	ga_s2am_ard_3-2-1_50JLM_2020-04-21_final
2020-06-27 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-06-27_final
2020-07-03 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-07-03_final
2020-07-10 11:55:50	ga_s2am_ard_3-2-1_50JKP_2020-07-10_final
2020-07-13 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-07-13_final
2020-07-13 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-07-13_final
2020-09-12 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-09-12_final
2020-10-11 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-11_final
2020-10-28 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-10-28_final
2020-10-28 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-10-28_final
2020-11-21 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final
2020-11-27 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-11-27_final
2020-12-07 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-07_final
2020-12-14 11:46:31	ga_s2am_ard_3-2-1_50HPK_2020-12-14_final
2021-01-16 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-01-16_final
2021-01-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-01-29_final
2021-04-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-04-03_final
2021-04-06 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-06_final
2021-04-23 11:46:26	ga_s2am_ard_3-2-1_50HQK_2021-04-23_final
2021-07-18 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-18_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_50JKT_2021-08-17_final
2021-11-29 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-29_final
2022-01-04 12:05:42	ga_s2am_ard_3-2-1_50JKP_2022-01-04_final
2022-01-14 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-14_final
2022-02-27 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-02-27_final
2022-06-13 12:04:52	ga_s2am_ard_3-2-1_49JHN_2022-06-13_final
2022-06-23 12:04:41	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-08-02 12:05:51	ga_s2am_ard_3-2-1_50JKP_2022-08-02_final
2022-08-26 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-26_final.stac-item
2022-10-01 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-10-01_final.stac-item
2022-10-14 12:13:59	ga_s2am_ard_3-2-1_49KHR_2022-10-14_final.stac-item
2022-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-11-30_final.stac-item
2022-11-30 12:04:43	ga_s2am_ard_3-2-1_50JKT_2022-11-30_final.stac-item
2022-12-14 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-12-14_final.stac-item
2023-01-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2023-01-23_final.stac-item
2023-01-30 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-30_final.stac-item
2023-02-05 11:55:49	ga_s2am_ard_3-2-1_50JLN_2023-02-05_final.stac-item
2023-02-11 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-11_final.stac-item
2023-02-28 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-02-28 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-02-28_final.stac-item
2023-03-03 12:14:24	ga_s2am_ard_3-2-1_49KGP_2023-03-03_final.stac-item
2023-03-10 12:05:46	ga_s2am_ard_3-2-1_50JLN_2023-03-10_final.stac-item
2023-04-09 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-04-09_final.stac-item
2023-05-20 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-05-20_final.stac-item
2023-09-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-09-06_final.stac-item
2023-10-20 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-10-20_final.stac-item
2023-10-27 11:37:17	ga_s2am_ard_3-2-1_50HQG_2023-10-27_final.stac-item
2023-11-25 12:05:50	ga_s2am_ard_3-2-1_50JKN_2023-11-25_final.stac-item
2023-11-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2023-11-28_final.stac-item
2024-01-11 11:57:04	ga_s2am_ard_3-2-1_50HLH_2024-01-11_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_49KHR_2024-01-27_final.stac-item
2024-01-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2024-01-27_final.stac-item
2024-02-06 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-02-06_final.stac-item
2024-02-06 12:14:52	ga_s2am_ard_3-2-1_49JGM_2024-02-06_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

All years