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_50HLJ_2015-11-14_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHR_2015-11-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGN_2015-12-30_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKQ_2016-01-16_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGK_2016-02-05_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-05_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLN_2016-11-18_final.stac-item
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HNK_2017-01-27_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HNH_2017-02-03_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPJ_2017-03-12_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HMH_2017-04-14_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-04-23_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49JGN_2017-09-10_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLN_2017-09-14_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHR_2017-10-20_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HPJ_2017-10-31_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HNK_2017-12-10_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNH_2018-01-19_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JLP_2018-03-23_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JLM_2018-04-02_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-04-08_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPH_2018-04-09_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KGR_2018-05-08_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNK_2018-08-27_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPK_2018-09-23_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMH_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLN_2018-10-29_final
2018-12-28 11:56:05	ga_s2am_ard_3-2-1_50JLM_2018-12-28_final
2019-01-17 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-01-17_final
2019-02-10 11:36:35	ga_s2am_ard_3-2-1_50HPK_2019-02-10_final
2019-03-12 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-03-12_final
2019-03-12 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-12_final
2019-03-12 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-03-12_final.stac-item
2019-04-24 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-04-24_final.stac-item
2019-04-27 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-04-27_final
2019-05-11 11:37:25	ga_s2am_ard_3-2-1_50HPG_2019-05-11_final.stac-item
2019-05-13 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-13_final
2019-08-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2019-08-28_final
2019-09-27 12:04:29	ga_s2am_ard_3-2-1_49KHP_2019-09-27_final
2019-10-18 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-10-18_final.stac-item
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-11-29 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-11-29_final
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final
2020-01-18 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2020-01-18_final
2020-02-04 12:05:07	ga_s2am_ard_3-2-1_49JGL_2020-02-04_final
2020-03-09 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-03-09_final
2020-03-09 11:46:58	ga_s2am_ard_3-2-1_50HPH_2020-03-09_final
2020-03-22 11:55:38	ga_s2am_ard_3-2-1_50JLP_2020-03-22_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-06-17 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-06-17_final
2020-06-20 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-20_final
2020-08-26 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-26_final
2020-11-03 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-11-03_final
2020-12-04 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2020-12-04_final
2021-01-06 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-01-06_final
2021-02-22 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2021-02-22_final
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-04-16 11:56:30	ga_s2am_ard_3-2-1_50HMK_2021-04-16_final
2021-04-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2021-04-22_final
2021-04-26 11:56:10	ga_s2am_ard_3-2-1_50JKM_2021-04-26_final
2021-06-25 11:56:12	ga_s2am_ard_3-2-1_50JLM_2021-06-25_final
2021-07-25 11:57:17	ga_s2am_ard_3-2-1_50HLH_2021-07-25_final
2021-10-06 12:05:56	ga_s2am_ard_3-2-1_50JLN_2021-10-06_final
2021-10-17 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-17_final
2021-10-30 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2021-10-30_final
2021-10-30 11:47:14	ga_s2am_ard_3-2-1_50HMH_2021-10-30_final
2021-11-12 11:56:13	ga_s2am_ard_3-2-1_50JLM_2021-11-12_final
2021-12-29 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-12-29_final
2022-01-04 12:05:39	ga_s2am_ard_3-2-1_50JLP_2022-01-04_final
2022-02-03 12:05:51	ga_s2am_ard_3-2-1_50JLN_2022-02-03_final
2022-03-15 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-03-15_final
2022-04-14 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-04-14_final
2022-05-01 11:56:01	ga_s2am_ard_3-2-1_50JLN_2022-05-01_final
2022-05-04 12:05:01	ga_s2am_ard_3-2-1_49JHM_2022-05-04_final
2022-08-12 12:05:38	ga_s2am_ard_3-2-1_50JKQ_2022-08-12_final
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_50JKT_2022-09-01_final.stac-item
2022-09-11 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-09-11_final.stac-item
2022-10-11 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-10-11_final.stac-item
2022-10-21 12:05:02	ga_s2am_ard_3-2-1_50JKS_2022-10-21_final.stac-item
2022-11-10 12:04:31	ga_s2am_ard_3-2-1_49KHP_2022-11-10_final.stac-item
2023-01-06 11:56:10	ga_s2am_ard_3-2-1_50JLM_2023-01-06_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-01-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-01-23_final.stac-item
2023-02-05 11:55:41	ga_s2am_ard_3-2-1_50JLP_2023-02-05_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-07-01 12:14:03	ga_s2am_ard_3-2-1_49KGR_2023-07-01_final.stac-item
2023-08-04 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-08-04_final.stac-item
2023-11-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-11-22_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_final.stac-item
2024-01-21 11:56:41	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_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 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2024-02-03_final.stac-item
2024-04-04 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2024-04-04_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