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
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGM_2015-12-07_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHR_2016-03-16_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2016-04-15_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPK_2016-06-18_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPK_2016-09-06_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQH_2016-10-03_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQJ_2017-03-05_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGM_2017-05-20_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPK_2017-10-11_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JHM_2017-12-26_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_50HPH_2018-01-19_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMG_2018-02-28_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNK_2018-03-10_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMG_2018-03-30_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPG_2018-04-29_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HQG_2018-06-25_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPH_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNJ_2018-07-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPG_2018-07-08_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLH_2018-07-31_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMG_2018-08-27_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKM_2018-09-02_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-09-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-05_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQJ_2018-11-02_final
2018-12-28 11:56:07	ga_s2am_ard_3-2-1_50JKM_2018-12-28_final
2019-01-03 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-01-03_final
2019-01-03 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-01-03_final
2019-01-04 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-01-04_final
2019-01-04 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-06-09 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-06-09_final
2019-06-13 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-06-13_final
2019-08-18 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-08-18_final
2019-09-01 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2019-09-01_final
2019-10-30 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-30_final
2019-11-13 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-11-13_final
2019-11-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2019-11-23_final
2019-12-30 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-12-30_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-01-16 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2020-01-16_final
2020-02-15 11:36:31	ga_s2am_ard_3-2-1_50HPK_2020-02-15_final
2020-02-18 11:47:00	ga_s2am_ard_3-2-1_50HNH_2020-02-18_final
2020-04-28 11:47:19	ga_s2am_ard_3-2-1_50HPG_2020-04-28_final.stac-item
2020-06-04 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-04_final.stac-item
2020-06-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-06-07_final.stac-item
2020-06-17 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-06-17_final.stac-item
2020-08-12 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-12_final
2020-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-08_final
2020-11-01 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-11-01_final
2020-11-04 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-11-04_final
2020-11-24 11:47:26	ga_s2am_ard_3-2-1_50HMG_2020-11-24_final.stac-item
2020-12-14 11:47:18	ga_s2am_ard_3-2-1_50HNG_2020-12-14_final.stac-item
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2020-12-20_final.stac-item
2020-12-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-23_final
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final
2021-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-08_final
2021-02-09 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-02-09_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-02-25 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-25_final
2021-03-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-03-07_final
2021-04-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-04-29_final
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-07-09 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-07-09_final.stac-item
2021-08-08 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-08-08_final
2021-10-23 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-23_final
2021-11-25 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-11-25_final
2021-12-09 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-12-09_final
2022-05-05 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-05_final
2022-06-06 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-06-06_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-12-11 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2022-12-11_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final.stac-item
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final.stac-item
2023-03-31 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-31_final.stac-item
2023-04-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-04-13_final.stac-item
2023-04-13 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-04-13_final.stac-item
2023-05-20 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final.stac-item
2023-06-29 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-29_final.stac-item
2023-08-11 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-08-11_final.stac-item
2023-10-13 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-10-13_final.stac-item
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_final.stac-item
2024-04-13 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-04-13_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