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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-10-01_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGM_2015-10-28_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLJ_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGM_2016-01-09_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHN_2016-01-16_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_49KHR_2016-01-26_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHN_2016-04-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-09_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-28_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-02_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLH_2016-10-29_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-03-04_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-09-07_final
2017-10-14 11:56:06	ga_s2am_ard_3-2-1_50HLK_2017-10-14_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGL_2018-01-05_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGQ_2018-01-05_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLJ_2018-03-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHS_2018-03-16_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLJ_2018-04-02_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMH_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HLH_2018-06-18_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLJ_2018-09-09_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLJ_2018-10-09_final
2018-11-21 12:04:56	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-11-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-11-24_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-02-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-02-23_final
2019-03-05 11:47:09	ga_s2am_ard_3-2-1_50HLH_2019-03-05_final
2019-03-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-11_final.stac-item
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-04-03_final
2019-04-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-04-03_final
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-06-19_final.stac-item
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-10-30 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-30_final
2020-01-05 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-01-05_final
2020-01-15 12:05:23	ga_s2am_ard_3-2-1_49JGK_2020-01-15_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-04-01 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-04-01_final
2020-06-06 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-06_final
2020-06-16 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2020-06-16_final
2020-06-23 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final.stac-item
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-16_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-07-26 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-07-26_final
2020-09-04 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-04_final
2020-09-08 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-09-08_final
2020-10-11 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-10-11_final
2020-12-03 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-03_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2020-12-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-12-30_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-03-27 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final
2021-03-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2021-03-30_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-05-22 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-05-22_final
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-09-13 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-13_final
2021-12-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-12-18_final
2022-01-07 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-01-07_final
2022-01-21 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-01-21_final
2022-01-21 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-21_final
2022-03-09 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-03-09_final
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-05-31 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-05-31_final
2022-06-13 12:04:56	ga_s2am_ard_3-2-1_49JGN_2022-06-13_final
2022-06-13 12:05:18	ga_s2am_ard_3-2-1_49JFM_2022-06-13_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-09-01 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-09-01_final.stac-item
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2023-01-12 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-01-12_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-01-29_final.stac-item
2023-02-05 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-02-05_final.stac-item
2023-02-22 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-22_final.stac-item
2023-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-03-27_final.stac-item
2023-09-16 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-09-16_final.stac-item
2023-09-16 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-09-16_final.stac-item
2023-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2023-09-19_final.stac-item
2023-10-09 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-09_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-08 12:13:52	ga_s2am_ard_3-2-1_49KGR_2023-12-08_final.stac-item
2024-02-03 12:03:55	ga_s2am_ard_3-2-1_49KHR_2024-02-03_final.stac-item
2024-02-10 11:57:05	ga_s2am_ard_3-2-1_50HLH_2024-02-10_final.stac-item
2024-03-01 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-01_final.stac-item
2024-03-04 12:05:30	ga_s2am_ard_3-2-1_49JGK_2024-03-04_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