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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMH_2015-10-22_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JFM_2015-11-20_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGM_2016-02-08_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-06-17_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLJ_2016-10-09_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMH_2016-11-15_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGM_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-31_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-01-20_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2017-05-03_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNG_2017-05-04_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGN_2017-11-09_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLH_2017-12-03_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGM_2018-01-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HNG_2018-06-08_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
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
2018-11-15 11:47:04	ga_s2am_ard_3-2-1_50HMH_2018-11-15_final
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final
2019-01-20 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-20_final
2019-02-12 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-12_final
2019-02-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-02-23_final
2019-02-26 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-02-26_final
2019-03-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-11_final.stac-item
2019-04-03 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-04-03_final
2019-05-07 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-07_final
2019-05-20 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-20_final.stac-item
2019-07-22 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-22_final
2019-07-22 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-22_final
2019-10-24 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-10-24_final
2019-11-13 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-11-13_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-02-18 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-02-18_final
2020-07-16 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-16_final
2020-09-11 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-09-11_final
2020-09-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-21_final
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-04_final
2020-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-11-07_final
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-11-30_final
2020-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-11-30_final
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final.stac-item
2021-02-25 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-02-25_final
2021-02-28 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-02-28_final
2021-03-23 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2021-03-23_final
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final
2021-07-31 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final
2021-09-10 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-09-10_final.stac-item
2021-09-26 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-09-26_final
2021-11-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-11-08_final
2021-12-09 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-12-09_final
2021-12-29 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-12-29_final
2022-02-13 12:04:42	ga_s2am_ard_3-2-1_49JHN_2022-02-13_final
2022-02-13 12:05:29	ga_s2am_ard_3-2-1_49JGK_2022-02-13_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-04-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-04-04_final
2022-04-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-04-07_final
2022-05-04 12:04:04	ga_s2am_ard_3-2-1_49KHR_2022-05-04_final
2022-06-13 12:04:28	ga_s2am_ard_3-2-1_49KGQ_2022-06-13_final
2022-06-23 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-06-23_final
2022-08-02 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-08-02_final
2022-08-09 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-08-09_final
2022-08-25 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-25_final.stac-item
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-10-28 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-10-28_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2022-12-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-12-13_final.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2022-12-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_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
2022-12-30 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-30_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final.stac-item
2023-04-02 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-02_final.stac-item
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-05-13_final.stac-item
2023-07-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-07-21_final.stac-item
2023-08-10 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-08-10_final.stac-item
2023-10-06 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2023-10-06_final.stac-item
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_final.stac-item
2023-11-05 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-11-05_final.stac-item
2023-11-08 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-11-08_final.stac-item
2023-11-08 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-11-08_final.stac-item
2023-12-05 12:03:52	ga_s2am_ard_3-2-1_49KHR_2023-12-05_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_final.stac-item
2023-12-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-12-22_final.stac-item
2024-01-04 12:03:56	ga_s2am_ard_3-2-1_49KHR_2024-01-04_final.stac-item
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final.stac-item
2024-03-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2024-03-07_final.stac-item
2024-03-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2024-03-07_final.stac-item
2024-04-03 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-04-03_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