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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGL_2015-11-30_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2016-01-19_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_49KHR_2016-01-26_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-04-25_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-07-14_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-07-17_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHS_2016-07-17_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLJ_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-21_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-01-20_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-12_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGJ_2017-03-11_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLH_2017-06-06_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HLH_2017-07-16_final
2017-08-08 12:03:49	ga_s2am_ard_3-2-1_49KHR_2017-08-08_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-10-07_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLJ_2017-10-24_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGR_2018-01-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-02-24_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-03-09_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGL_2018-03-16_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHP_2018-05-05_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHS_2018-05-08_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JHN_2018-06-14_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-06-27_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-04_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGK_2018-08-23_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-08-26_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLK_2018-09-09_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-25_final
2018-11-21 12:03:52	ga_s2am_ard_3-2-1_49KHR_2018-11-21_final
2018-12-01 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-01_final
2019-02-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-02-02_final
2019-05-03 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-03_final
2019-05-23 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-05-23_final
2019-07-19 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-19_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-09-04 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2019-09-04_final
2019-10-07 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-10-07_final
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final
2019-11-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-11-16_final
2019-11-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-11-26_final
2020-01-28 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-01-28_final.stac-item
2020-01-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2020-01-28_final
2020-03-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-15_final
2020-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-05-17_final
2020-06-06 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-06_final
2020-06-13 12:03:51	ga_s2am_ard_3-2-1_49KHS_2020-06-13_final.stac-item
2020-07-06 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-06_final
2020-07-13 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-07-13_final
2020-07-13 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-07-13_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-11-07 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-11-07_final.stac-item
2020-12-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-23_final
2021-01-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-26_final.stac-item
2021-03-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-03-13_final
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2021-04-02_final
2021-05-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-05-09_final
2021-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-05-12_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-05-26 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-05-26_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-08-17 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-17_final
2021-09-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-09-16_final
2021-10-29 12:13:59	ga_s2am_ard_3-2-1_49KHR_2021-10-29_final
2021-12-29 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-12-29_final
2022-01-21 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-01-21_final
2022-02-03 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-03_final
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_49KHR_2022-02-06_final
2022-04-04 12:04:29	ga_s2am_ard_3-2-1_49KHP_2022-04-04_final
2022-04-07 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-04-07_final.stac-item
2022-06-03 12:04:54	ga_s2am_ard_3-2-1_49JGN_2022-06-03_final
2022-06-13 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-06-13_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-08-25 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-25_final.stac-item
2022-08-25 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-08-25_final
2022-09-11 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-11_final.stac-item
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final.stac-item
2022-10-08 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-10-08_final.stac-item
2022-10-21 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-10-21_final.stac-item
2022-12-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-20_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-02-11_final.stac-item
2023-04-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-29_final.stac-item
2023-08-10 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-08-10_final.stac-item
2023-09-26 12:03:47	ga_s2am_ard_3-2-1_49KHS_2023-09-26_final.stac-item
2023-09-26 12:05:17	ga_s2am_ard_3-2-1_49JGL_2023-09-26_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2023-11-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2023-11-28_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