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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMJ_2015-12-21_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMJ_2016-04-02_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2016-05-12_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQK_2016-11-22_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPG_2016-12-15_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKQ_2017-01-20_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HQK_2017-02-20_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-03-31_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50HLK_2017-05-17_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMJ_2017-06-06_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HQH_2017-07-23_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMK_2017-12-23_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGQ_2018-01-05_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKQ_2018-01-25_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMK_2018-02-28_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMH_2018-05-19_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMH_2018-06-08_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2018-08-03_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMK_2018-08-10_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-09-12_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGN_2018-09-15_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HPG_2018-10-06_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-25_final
2018-11-08 11:56:32	ga_s2am_ard_3-2-1_50HMK_2018-11-08_final
2018-11-25 11:46:22	ga_s2am_ard_3-2-1_50HQK_2018-11-25_final
2018-12-05 11:47:08	ga_s2am_ard_3-2-1_50HPG_2018-12-05_final.stac-item
2018-12-11 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-11_final
2018-12-22 11:36:26	ga_s2am_ard_3-2-1_50HQK_2018-12-22_final
2018-12-31 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-12-31_final
2019-01-20 12:04:53	ga_s2am_ard_3-2-1_49JHM_2019-01-20_final
2019-03-15 11:47:15	ga_s2am_ard_3-2-1_50HPG_2019-03-15_final.stac-item
2019-03-25 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-03-25_final
2019-04-01 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-04-01_final.stac-item
2019-04-20 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-04-20_final
2019-04-24 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-04-24_final
2019-05-11 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-05-11_final.stac-item
2019-07-16 11:56:42	ga_s2am_ard_3-2-1_50HMK_2019-07-16_final
2019-09-08 11:37:16	ga_s2am_ard_3-2-1_50HQG_2019-09-08_final.stac-item
2019-09-17 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2019-09-17_final
2019-10-30 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-10-30_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2019-11-16 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2019-11-16_final
2020-01-25 12:04:50	ga_s2am_ard_3-2-1_49JHM_2020-01-25_final
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final
2020-03-28 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-28_final
2020-04-15 11:37:17	ga_s2am_ard_3-2-1_50HQG_2020-04-15_final.stac-item
2020-04-15 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-04-15_final.stac-item
2020-05-01 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2020-05-01_final
2020-05-27 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-05-27_final
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final
2020-07-10 11:57:27	ga_s2am_ard_3-2-1_50HLG_2020-07-10_final.stac-item
2020-07-23 12:04:12	ga_s2am_ard_3-2-1_49KHR_2020-07-23_final
2020-08-15 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-15_final
2020-08-15 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-15_final
2020-12-03 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-03_final
2020-12-10 12:05:08	ga_s2am_ard_3-2-1_50JKR_2020-12-10_final
2020-12-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-02-08_final.stac-item
2021-02-11 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2021-02-11_final
2021-03-10 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-03-10_final
2021-03-13 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-03-13_final
2021-03-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-03-30_final
2021-04-16 11:57:17	ga_s2am_ard_3-2-1_50HLG_2021-04-16_final.stac-item
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final
2021-06-28 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-06-28_final
2021-07-11 12:14:24	ga_s2am_ard_3-2-1_49KHP_2021-07-11_final
2021-07-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-28_final.stac-item
2021-08-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-08-24 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-08-24_final
2021-12-05 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-12-05_final
2021-12-15 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-12-15_final
2021-12-16 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-16_final.stac-item
2021-12-25 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-12-25_final
2022-01-24 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2022-01-24_final
2022-02-23 12:04:59	ga_s2am_ard_3-2-1_50JKS_2022-02-23_final
2022-03-15 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-03-15_final
2022-04-08 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-04-08_final
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-04-24 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2022-04-24_final
2022-04-24 12:05:02	ga_s2am_ard_3-2-1_50JKS_2022-04-24_final
2022-06-03 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-06-03_final.stac-item
2022-06-13 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-06-13_final
2022-08-22 12:05:24	ga_s2am_ard_3-2-1_50JKR_2022-08-22_final
2022-10-08 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-10-08_final.stac-item
2022-10-14 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-10-14_final.stac-item
2022-11-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-11-03_final.stac-item
2022-11-20 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-11-20_final.stac-item
2023-01-19 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-01-19_final.stac-item
2023-06-08 12:05:01	ga_s2am_ard_3-2-1_50JKS_2023-06-08_final.stac-item
2023-06-28 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-06-28_final.stac-item
2023-07-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-07-02_final.stac-item
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final.stac-item
2024-02-07 11:46:38	ga_s2am_ard_3-2-1_50HMK_2024-02-07_final.stac-item
2024-02-13 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-02-13_final.stac-item
2024-03-31 11:56:36	ga_s2am_ard_3-2-1_50HMK_2024-03-31_final.stac-item
2024-04-06 12:13:38	ga_s2am_ard_3-2-1_49KHS_2024-04-06_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