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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGP_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLM_2016-05-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JFM_2016-09-15_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKN_2016-11-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JKP_2016-11-28_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-01-20_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPH_2017-03-12_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-03-31_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKT_2017-03-31_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HLH_2017-06-26_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HMK_2017-08-05_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HQK_2017-08-19_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHR_2017-09-10_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HPH_2017-11-27_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHR_2018-01-08_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JLM_2018-01-25_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGN_2018-01-28_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50JLM_2018-02-01_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-02-14_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-02-14_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-03-29_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMG_2018-04-02_final.stac-item
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-04-28_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-05-28_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLJ_2018-06-01_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HMK_2018-06-11_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPK_2018-06-25_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2018-08-26_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JLN_2018-09-09_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPJ_2018-10-16_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-25_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final
2018-11-21 12:06:03	ga_s2am_ard_3-2-1_50JKM_2018-11-21_final
2018-12-01 12:04:34	ga_s2am_ard_3-2-1_50JKT_2018-12-01_final
2018-12-08 11:55:33	ga_s2am_ard_3-2-1_50JLP_2018-12-08_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2019-01-30 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-01-30_final.stac-item
2019-02-03 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2019-02-03_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-26 11:55:52	ga_s2am_ard_3-2-1_50JLN_2019-02-26_final
2019-03-04 12:14:16	ga_s2am_ard_3-2-1_49KHP_2019-03-04_final
2019-03-28 11:56:25	ga_s2am_ard_3-2-1_50JLL_2019-03-28_final
2019-04-03 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-04-03_final
2019-04-10 12:04:44	ga_s2am_ard_3-2-1_50JKT_2019-04-10_final
2019-05-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-05-23_final
2019-06-29 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-29_final
2019-07-12 12:14:32	ga_s2am_ard_3-2-1_49KGP_2019-07-12_final
2019-08-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-08-02_final
2019-10-14 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-14_final
2019-12-16 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-16_final
2019-12-23 11:55:41	ga_s2am_ard_3-2-1_50JKP_2019-12-23_final
2020-01-12 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-01-12_final
2020-03-15 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-03-15_final
2020-03-28 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-28_final
2020-04-11 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2020-04-11_final
2020-04-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2020-04-18_final
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final
2020-05-18 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-05-18_final
2020-06-17 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-06-17_final
2020-07-04 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-07-04_final
2020-07-24 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-07-24_final
2020-10-12 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2020-10-12_final
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final
2020-11-13 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-11-13_final
2020-11-24 11:47:04	ga_s2am_ard_3-2-1_50HPH_2020-11-24_final
2020-12-04 11:46:23	ga_s2am_ard_3-2-1_50HPK_2020-12-04_final
2021-01-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-19_final
2021-01-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-23_final
2021-03-17 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-17_final
2021-04-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-07-11 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-11_final
2021-11-16 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-11-16_final
2021-12-19 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-12-19_final
2022-01-14 12:04:29	ga_s2am_ard_3-2-1_49KHP_2022-01-14_final
2022-02-04 11:37:06	ga_s2am_ard_3-2-1_50HPH_2022-02-04_final
2022-02-07 11:46:29	ga_s2am_ard_3-2-1_50HQK_2022-02-07_final
2022-05-08 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-05-08_final
2022-06-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2022-06-23_final
2022-07-03 12:05:10	ga_s2am_ard_3-2-1_49JHM_2022-07-03_final
2022-09-01 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-09-01_final.stac-item
2022-09-18 11:56:34	ga_s2am_ard_3-2-1_50JLL_2022-09-18_final.stac-item
2022-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2022-11-30_final.stac-item
2022-12-21 11:37:15	ga_s2am_ard_3-2-1_50HQG_2022-12-21_final.stac-item
2023-01-20 11:36:33	ga_s2am_ard_3-2-1_50HPK_2023-01-20_final.stac-item
2023-01-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2023-01-29_final.stac-item
2023-02-01 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-02-01_final.stac-item
2023-02-09 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-02-09_final.stac-item
2023-03-03 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-03-03_final.stac-item
2023-03-07 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-03-07_final.stac-item
2023-05-16 11:55:57	ga_s2am_ard_3-2-1_50JLN_2023-05-16_final.stac-item
2023-05-16 11:56:12	ga_s2am_ard_3-2-1_50JLM_2023-05-16_final.stac-item
2023-05-19 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-05-19_final.stac-item
2023-06-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2023-06-08_final.stac-item
2023-10-06 12:05:52	ga_s2am_ard_3-2-1_50JLN_2023-10-06_final.stac-item
2023-11-22 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-11-22_final.stac-item
2024-02-07 11:47:13	ga_s2am_ard_3-2-1_50HPG_2024-02-07_final.stac-item
2024-03-01 11:56:11	ga_s2am_ard_3-2-1_50JLM_2024-03-01_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