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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPK_2016-06-05_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-07-07_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HLK_2016-08-20_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHR_2016-09-02_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMG_2016-10-09_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMH_2016-10-26_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPK_2016-11-12_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHP_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-07-09_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHN_2017-09-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2017-10-07_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-12-19_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-03-06_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-03-29_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNH_2018-03-30_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLJ_2018-05-22_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JHM_2018-05-25_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNK_2018-05-29_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPG_2018-06-28_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-07-24_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-08-03_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-08-13_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-16_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNG_2018-08-27_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNK_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPK_2018-08-27_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-22_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPK_2018-11-02_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final
2018-11-15 11:46:32	ga_s2am_ard_3-2-1_50HNK_2018-11-15_final
2018-11-15 11:47:01	ga_s2am_ard_3-2-1_50HNH_2018-11-15_final
2018-11-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-11-25_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-05 11:47:08	ga_s2am_ard_3-2-1_50HPG_2018-12-05_final.stac-item
2018-12-08 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-08_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final
2019-08-19 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-08-19_final.stac-item
2019-08-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-08-28_final.stac-item
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-02-08 11:47:09	ga_s2am_ard_3-2-1_50HPG_2020-02-08_final.stac-item
2020-02-11 11:57:16	ga_s2am_ard_3-2-1_50HLG_2020-02-11_final.stac-item
2020-03-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-03-25_final
2020-05-28 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-05-28_final.stac-item
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final
2020-10-25 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-10-25_final.stac-item
2020-12-11 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-12-11_final.stac-item
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2020-12-27 11:57:23	ga_s2am_ard_3-2-1_50HLG_2020-12-27_final.stac-item
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final.stac-item
2021-03-21 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-03-21_final
2021-03-24 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-03-24_final
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final
2021-03-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-03-27_final
2021-03-30 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-03-30_final
2021-03-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-03-30_final
2021-04-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2021-04-02_final
2021-04-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-04-02_final
2021-04-22 12:13:35	ga_s2am_ard_3-2-1_49KHS_2021-04-22_final.stac-item
2021-04-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2021-04-23_final
2021-05-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-05-23_final
2021-06-02 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-06-02_final.stac-item
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final
2021-07-08 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-07-08_final
2021-07-11 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-11_final
2021-07-21 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-07-21_final
2021-07-22 11:47:10	ga_s2am_ard_3-2-1_50HNH_2021-07-22_final
2021-08-17 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-17_final
2021-08-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-17_final
2021-08-20 12:15:13	ga_s2am_ard_3-2-1_49JGL_2021-08-20_final
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final
2021-10-19 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-19_final
2021-11-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-11-26_final.stac-item
2022-03-28 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-03-28_final
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final
2022-06-23 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-06-23_final.stac-item
2022-07-30 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-07-30_final
2022-08-02 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-08-02_final.stac-item
2023-08-07 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-08-07_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