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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMG_2015-11-14_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQH_2016-05-16_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLP_2016-08-30_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KHR_2016-09-05_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-02_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKP_2016-11-21_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JLM_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-31_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMG_2017-01-24_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JLQ_2017-02-19_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-05-30_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLK_2017-06-06_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JLL_2017-06-26_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHR_2017-09-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMH_2017-11-20_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMG_2018-02-01_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLN_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JML_2018-03-30_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMG_2018-06-08_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-07-07_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGN_2018-08-23_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGR_2018-09-05_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLH_2018-09-06_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNK_2018-11-05_final
2018-12-25 11:46:26	ga_s2am_ard_3-2-1_50HPK_2018-12-25_final
2019-02-19 12:04:27	ga_s2am_ard_3-2-1_49KGP_2019-02-19_final
2019-04-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-04-03_final
2019-05-20 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-05-20_final
2019-06-13 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-06-13_final
2019-07-02 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-07-02_final
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-11-13 11:56:18	ga_s2am_ard_3-2-1_50JML_2019-11-13_final
2019-11-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2019-11-23_final
2019-11-27 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2019-11-27_final
2019-11-30 11:47:20	ga_s2am_ard_3-2-1_50HNG_2019-11-30_final.stac-item
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final
2019-12-26 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-26_final
2020-01-09 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2020-01-09_final
2020-01-12 11:56:24	ga_s2am_ard_3-2-1_50HNK_2020-01-12_final
2020-02-18 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-02-18_final.stac-item
2020-03-15 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2020-03-15_final
2020-03-19 11:46:26	ga_s2am_ard_3-2-1_50HQK_2020-03-19_final
2020-04-07 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-04-07_final
2020-06-03 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-03_final
2020-06-06 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-06-06_final
2020-06-07 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-06-07_final
2020-06-13 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-13_final
2020-07-23 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-23_final
2020-07-27 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-07-27_final
2020-08-05 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-08-05_final
2020-08-15 12:14:02	ga_s2am_ard_3-2-1_49KHR_2020-08-15_final
2020-08-26 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-08-26_final
2020-10-01 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-01_final
2020-10-24 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-10-24_final
2020-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-11-07_final
2020-12-14 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-12-14_final
2021-01-26 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-01-26_final
2021-02-15 11:56:24	ga_s2am_ard_3-2-1_50JLL_2021-02-15_final
2021-02-21 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-02-21_final
2021-03-07 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-07_final
2021-03-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-03-20_final
2021-03-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2021-03-23_final
2021-06-25 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-06-25_final
2021-07-05 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-05_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-07-25 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-07-25_final
2021-09-09 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-09-09_final
2021-11-12 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-11-12_final
2021-11-28 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-28_final
2021-12-15 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-12-15_final
2021-12-29 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-12-29_final
2022-01-08 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-01-08_final
2022-01-21 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-21_final
2022-01-24 12:05:38	ga_s2am_ard_3-2-1_50JLP_2022-01-24_final
2022-01-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-28_final.stac-item
2022-06-13 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-06-13_final
2022-06-23 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-06-23_final
2022-07-27 11:47:24	ga_s2am_ard_3-2-1_50HLH_2022-07-27_final
2022-08-15 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-08-15_final
2022-09-14 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2022-09-14_final.stac-item
2022-09-21 12:04:07	ga_s2am_ard_3-2-1_49KHR_2022-09-21_final.stac-item
2022-11-04 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-11-04_final.stac-item
2022-12-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2022-12-27_final.stac-item
2023-01-16 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-01-16_final.stac-item
2023-02-05 11:55:45	ga_s2am_ard_3-2-1_50JKP_2023-02-05_final.stac-item
2023-03-03 12:14:38	ga_s2am_ard_3-2-1_49JGN_2023-03-03_final.stac-item
2023-03-07 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-03-07_final.stac-item
2023-03-10 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2023-03-10_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final.stac-item
2023-05-22 12:15:02	ga_s2am_ard_3-2-1_49JFM_2023-05-22_final.stac-item
2023-07-02 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-07-02_final.stac-item
2023-07-15 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-07-15_final.stac-item
2023-08-20 12:14:01	ga_s2am_ard_3-2-1_49KHR_2023-08-20_final.stac-item
2023-08-20 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-08-20_final.stac-item
2023-10-10 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-10-10_final.stac-item
2024-01-04 12:04:42	ga_s2am_ard_3-2-1_49JGN_2024-01-04_final.stac-item
2024-01-27 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2024-01-27_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