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
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51HTE_2015-11-18_final.stac-item
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JUF_2015-11-18_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HWD_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HWE_2016-01-11_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JQL_2016-01-17_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JML_2016-01-20_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KQC_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JTH_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JTJ_2016-02-06_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLT_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51JYL_2016-03-11_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51JYM_2016-03-11_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JWM_2016-03-24_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGL_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKV_2016-04-15_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JYK_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HLH_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPH_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JWN_2016-05-03_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50HQK_2016-05-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQJ_2016-05-09_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JXJ_2016-05-10_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JYL_2016-05-10_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JQM_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HXE_2016-05-23_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_49KHR_2016-05-25_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51JTH_2016-05-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-06-17_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKS_2016-09-02_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMH_2016-11-28_final.stac-item
2016-12-02 11:36:01	ga_s2am_ard_3-2-1_51HUE_2016-12-02_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTS_2017-01-14_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51JVF_2017-03-02_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_51HUE_2017-05-01_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPG_2017-07-10_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLH_2017-12-30_final
2018-01-23 11:26:03	ga_s2am_ard_3-2-1_51JWF_2018-01-23_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLH_2018-02-01_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKA_2018-03-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50KRD_2018-04-19_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2018-12-08 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-08_final
2019-02-10 11:34:22	ga_s2am_ard_3-2-1_51JUN_2019-02-10_final
2019-11-07 11:36:13	ga_s2am_ard_3-2-1_51JVF_2019-11-07_final
2019-12-27 11:34:31	ga_s2am_ard_3-2-1_50JRT_2019-12-27_final
2019-12-30 11:43:13	ga_s2am_ard_3-2-1_51KTT_2019-12-30_final
2020-02-05 11:36:02	ga_s2am_ard_3-2-1_51JVF_2020-02-05_final
2020-06-20 11:52:26	ga_s2am_ard_3-2-1_50KQG_2020-06-20_final.stac-item
2020-11-21 11:36:36	ga_s2am_ard_3-2-1_51HVD_2020-11-21_final
2020-12-01 11:36:23	ga_s2am_ard_3-2-1_51HVE_2020-12-01_final
2021-01-04 11:14:29	ga_s2am_ard_3-2-1_51JYN_2021-01-04_final
2021-01-22 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-22_final
2021-01-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-23_final
2021-03-08 11:26:18	ga_s2am_ard_3-2-1_51JUF_2021-03-08_final
2021-05-02 12:14:57	ga_s2am_ard_3-2-1_49JFM_2021-05-02_final
2021-08-01 11:45:50	ga_s2am_ard_3-2-1_50JQN_2021-08-01_final
2021-09-06 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-09-06_final
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-09-07 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-09-07_final
2021-09-20 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-09-20_final
2021-11-29 11:42:16	ga_s2am_ard_3-2-1_51KUB_2021-11-29_final.stac-item
2022-01-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-01-01_final
2022-01-08 11:47:16	ga_s2am_ard_3-2-1_50HLH_2022-01-08_final
2022-01-21 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-21_final
2022-02-14 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-02-14_final
2022-03-06 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-03-06_final
2022-03-16 11:37:21	ga_s2am_ard_3-2-1_50HQG_2022-03-16_final.stac-item
2022-04-02 11:25:47	ga_s2am_ard_3-2-1_51JYG_2022-04-02_final
2022-04-02 11:26:20	ga_s2am_ard_3-2-1_51JUF_2022-04-02_final
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_50KKB_2022-05-24_final
2022-07-07 11:43:22	ga_s2am_ard_3-2-1_51KTU_2022-07-07_final
2022-09-21 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-09-21_final.stac-item
2022-09-29 11:26:36	ga_s2am_ard_3-2-1_51HVE_2022-09-29_final.stac-item
2022-10-08 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-10-08_final.stac-item
2022-10-21 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-10-21_final.stac-item
2022-10-28 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-28_final.stac-item
2022-11-14 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-11-14_final.stac-item
2022-11-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2022-11-25_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-01-20 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-01-20_final.stac-item
2023-01-26 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-26_final.stac-item
2023-03-28 11:26:37	ga_s2am_ard_3-2-1_51HVD_2023-03-28_final.stac-item
2023-04-07 11:25:53	ga_s2am_ard_3-2-1_51JXG_2023-04-07_final.stac-item
2023-04-07 11:26:14	ga_s2am_ard_3-2-1_51JVF_2023-04-07_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-05-09_final.stac-item
2023-09-04 11:26:31	ga_s2am_ard_3-2-1_51HWE_2023-09-04_final.stac-item
2023-09-06 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-09-06_final.stac-item
2023-09-10 11:46:35	ga_s2am_ard_3-2-1_50HQK_2023-09-10_final.stac-item
2023-09-17 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-09-17_final.stac-item
2023-10-03 11:55:55	ga_s2am_ard_3-2-1_50JNN_2023-10-03_final.stac-item
2023-11-06 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-11-06_final.stac-item
2023-11-18 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-11-18_final.stac-item
2023-12-06 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-12-06_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_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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