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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGN_2015-10-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHS_2015-12-17_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JLL_2015-12-24_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQK_2016-06-05_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HNG_2016-10-23_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HPG_2016-10-23_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLK_2016-11-28_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMG_2016-12-08_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLL_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLH_2017-01-14_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHS_2017-02-19_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLH_2017-02-26_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLK_2017-02-26_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHS_2017-04-20_final.stac-item
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50HLK_2017-06-16_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-06-19_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKS_2017-07-09_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-02-24_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-04-18_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HQK_2018-07-18_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HNK_2018-10-09_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-11-01_final
2018-12-01 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-01_final
2018-12-15 11:46:21	ga_s2am_ard_3-2-1_50HQK_2018-12-15_final
2018-12-25 11:47:02	ga_s2am_ard_3-2-1_50HMH_2018-12-25_final
2019-01-11 11:36:33	ga_s2am_ard_3-2-1_50HPK_2019-01-11_final
2019-01-14 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-01-14_final
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final
2019-01-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-01-27_final
2019-02-23 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-02-23_final
2019-02-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-02-23_final
2019-04-10 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-04-10_final
2019-05-30 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-05-30_final
2019-06-13 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-06-13_final
2019-07-30 11:36:43	ga_s2am_ard_3-2-1_50HPK_2019-07-30_final
2019-08-15 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-08-15_final
2019-08-25 11:55:48	ga_s2am_ard_3-2-1_50JKP_2019-08-25_final
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-10-07_final
2019-11-10 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-11-10_final
2019-11-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final
2019-12-16 12:04:37	ga_s2am_ard_3-2-1_49JHN_2019-12-16_final
2020-01-05 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-05_final
2020-05-17 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-05-17_final
2020-06-20 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-06-20_final
2020-06-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-26_final
2020-08-22 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-08-22_final
2020-09-05 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-09-05_final
2020-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-11-30_final
2021-02-02 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-02-02_final
2021-02-22 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-22_final
2021-02-25 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-02-25_final
2021-03-13 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-03-13_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-06-18_final
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-06-25 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-06-25 11:57:22	ga_s2am_ard_3-2-1_50HMG_2021-06-25_final.stac-item
2021-07-15 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-15_final
2021-08-10 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-08-10_final
2021-10-17 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-17_final
2022-01-08 11:46:42	ga_s2am_ard_3-2-1_50HMK_2022-01-08_final
2022-01-31 11:56:36	ga_s2am_ard_3-2-1_50HMK_2022-01-31_final
2022-03-15 12:04:46	ga_s2am_ard_3-2-1_50JKT_2022-03-15_final
2022-03-15 12:05:01	ga_s2am_ard_3-2-1_49JHM_2022-03-15_final
2022-05-18 11:47:20	ga_s2am_ard_3-2-1_50HLH_2022-05-18_final
2022-05-31 11:57:31	ga_s2am_ard_3-2-1_50HLG_2022-05-31_final.stac-item
2022-06-30 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-06-30_final
2022-09-28 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-09-28_final.stac-item
2022-10-31 12:05:01	ga_s2am_ard_3-2-1_50JKS_2022-10-31_final.stac-item
2022-11-07 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-11-07_final.stac-item
2022-12-11 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-12-11_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-10_final.stac-item
2023-02-09 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-02-09_final.stac-item
2023-02-19 11:36:31	ga_s2am_ard_3-2-1_50HQK_2023-02-19_final.stac-item
2023-04-13 11:46:30	ga_s2am_ard_3-2-1_50HQK_2023-04-13_final.stac-item
2023-05-29 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-05-29_final.stac-item
2023-06-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-19_final.stac-item
2023-07-18 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-07-18_final.stac-item
2023-07-22 11:46:34	ga_s2am_ard_3-2-1_50HQK_2023-07-22_final.stac-item
2023-09-16 12:04:50	ga_s2am_ard_3-2-1_49JGN_2023-09-16_final.stac-item
2023-10-17 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-10-17_final.stac-item
2023-10-17 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-10-17_final.stac-item
2023-11-19 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-11-19_final.stac-item
2023-12-06 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-06_final.stac-item
2024-01-04 12:06:06	ga_s2am_ard_3-2-1_50JKM_2024-01-04_final.stac-item
2024-01-15 11:36:27	ga_s2am_ard_3-2-1_50HQK_2024-01-15_final.stac-item
2024-01-24 12:05:20	ga_s2am_ard_3-2-1_50JKQ_2024-01-24_final.stac-item
2024-01-31 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-01-31_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_2024-02-03_final.stac-item
2024-02-07 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-02-07_final.stac-item
2024-03-01 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-01_final.stac-item
2024-03-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-03-24_final.stac-item
2024-04-03 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-04-03_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