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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGN_2015-10-28_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLJ_2015-11-14_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMH_2016-03-20_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHQ_2016-05-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-09-15_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-11_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-01-20_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMG_2017-02-03_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMJ_2017-02-26_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKQ_2017-03-11_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HLH_2017-03-25_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGM_2017-05-13_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HMK_2017-05-24_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50HMK_2017-06-16_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-10-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-10-30_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGN_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-11-06_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMH_2018-02-11_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-03-19_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HNK_2018-03-23_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMK_2018-03-30_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-04-08_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-05-18_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPG_2018-05-29_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMK_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HQK_2018-07-08_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLJ_2018-08-10_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHP_2018-08-23_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-09-12_final
2018-11-15 11:46:35	ga_s2am_ard_3-2-1_50HMK_2018-11-15_final
2018-11-21 12:04:35	ga_s2am_ard_3-2-1_49JHN_2018-11-21_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-01-07 11:56:25	ga_s2am_ard_3-2-1_50HNK_2019-01-07_final
2019-01-07 11:56:35	ga_s2am_ard_3-2-1_50HLK_2019-01-07_final
2019-01-10 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-01-10_final.stac-item
2019-03-15 11:47:07	ga_s2am_ard_3-2-1_50HLH_2019-03-15_final
2019-03-18 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2019-03-18_final
2019-05-14 11:46:34	ga_s2am_ard_3-2-1_50HQK_2019-05-14_final
2019-09-20 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-09-20_final
2019-09-30 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2019-09-30_final
2019-10-10 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-10-10_final
2019-11-16 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-11-16_final
2019-11-17 11:36:35	ga_s2am_ard_3-2-1_50HQK_2019-11-17_final
2019-12-03 11:56:35	ga_s2am_ard_3-2-1_50HMK_2019-12-03_final
2020-01-15 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-01-15_final
2020-01-29 11:47:13	ga_s2am_ard_3-2-1_50HNG_2020-01-29_final.stac-item
2020-02-07 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2020-02-07_final
2020-03-09 11:47:01	ga_s2am_ard_3-2-1_50HNH_2020-03-09_final
2020-04-14 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-04-14_final.stac-item
2020-04-18 11:47:21	ga_s2am_ard_3-2-1_50HNG_2020-04-18_final.stac-item
2020-05-14 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-05-14_final
2020-06-03 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-03_final
2020-06-10 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-06-10_final
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-06-23 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-06-23_final
2020-07-30 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-07-30_final
2020-08-15 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-15_final
2020-10-25 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-10-25_final.stac-item
2021-01-19 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-19_final
2021-03-13 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-03-13_final
2021-04-02 12:13:37	ga_s2am_ard_3-2-1_49KHS_2021-04-02_final.stac-item
2021-06-25 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-06-25_final
2021-09-07 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-09-07_final
2021-09-10 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-09-10_final
2021-09-13 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-13_final
2021-10-06 12:05:17	ga_s2am_ard_3-2-1_50JKR_2021-10-06_final
2021-11-12 11:56:42	ga_s2am_ard_3-2-1_50HLK_2021-11-12_final
2021-12-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-12-05_final
2022-01-15 11:36:35	ga_s2am_ard_3-2-1_50HQK_2022-01-15_final
2022-01-24 12:04:28	ga_s2am_ard_3-2-1_49KHP_2022-01-24_final
2022-02-10 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-02-10_final
2022-02-17 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-02-17_final
2022-02-23 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-02-23_final
2022-05-01 11:57:11	ga_s2am_ard_3-2-1_50HMH_2022-05-01_final
2022-12-01 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-12-01_final.stac-item
2022-12-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-12-14_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2023-01-03 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-01-03_final.stac-item
2023-04-12 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-04-12_final.stac-item
2023-04-23 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-04-23_final.stac-item
2023-05-22 12:14:01	ga_s2am_ard_3-2-1_49KGR_2023-05-22_final.stac-item
2023-07-15 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-15_final.stac-item
2023-10-13 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-10-13_final.stac-item
2023-10-23 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-10-23_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_final.stac-item
2024-02-20 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-02-20_final.stac-item
2024-03-01 11:56:35	ga_s2am_ard_3-2-1_50HMK_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