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_50HLH_2015-10-22_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLK_2015-11-14_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGN_2016-04-15_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HLH_2016-04-29_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-08_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGN_2016-05-18_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLJ_2016-09-19_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGL_2016-11-01_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLJ_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMG_2017-01-14_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-12_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLG_2017-02-16_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGM_2017-04-30_final
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHR_2017-06-09_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-08-21_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHM_2017-08-28_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-09-30_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-10-17_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-11-26_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLJ_2017-12-03_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGL_2017-12-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMJ_2017-12-10_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JFM_2018-01-08_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-02-07_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMJ_2018-03-10_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLK_2018-03-13_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLG_2018-04-29_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMH_2018-06-18_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-06-27_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLH_2018-09-06_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-11-14 12:13:49	ga_s2am_ard_3-2-1_49KHR_2018-11-14_final
2018-12-08 11:56:32	ga_s2am_ard_3-2-1_50HLK_2018-12-08_final
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final
2019-01-30 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-01-30_final.stac-item
2019-03-04 12:14:22	ga_s2am_ard_3-2-1_49KGP_2019-03-04_final
2019-05-04 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-05-04_final
2019-06-19 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-06-19_final
2019-06-22 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-06-22_final
2019-10-07 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-10-07_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2020-02-17 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-02-17_final
2020-03-05 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-03-05_final
2020-03-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-18_final
2020-05-31 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-31_final
2020-06-13 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-13_final
2020-06-16 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-16_final
2020-06-26 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-06-26_final
2020-07-13 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-13_final.stac-item
2020-07-16 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-16_final
2020-08-29 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-08-29_final.stac-item
2020-09-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-21_final
2020-10-04 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-04_final
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-31_final
2020-11-17 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-11-17_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2020-12-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-12-30_final.stac-item
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final
2021-04-02 12:13:37	ga_s2am_ard_3-2-1_49KHS_2021-04-02_final.stac-item
2021-04-13 11:47:04	ga_s2am_ard_3-2-1_50HMH_2021-04-13_final
2021-04-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-19_final
2021-04-29 12:05:26	ga_s2am_ard_3-2-1_49JGK_2021-04-29_final
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-10-03 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-26_final
2022-01-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-01-01_final
2022-03-25 12:04:59	ga_s2am_ard_3-2-1_49JHM_2022-03-25_final
2022-05-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-05-24_final
2022-07-13 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-07-13_final
2022-08-09 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-08-09_final
2022-09-14 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-09-14_final.stac-item
2022-10-04 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-10-04_final.stac-item
2022-11-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-11-27_final.stac-item
2023-01-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-01-16_final.stac-item
2023-02-05 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-02-05_final.stac-item
2023-02-25 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-25_final.stac-item
2023-04-06 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-06_final.stac-item
2023-04-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-09_final.stac-item
2023-05-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-05-06_final.stac-item
2023-11-15 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-15_final.stac-item
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-12-09 11:47:09	ga_s2am_ard_3-2-1_50HLH_2023-12-09_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final.stac-item
2023-12-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2023-12-18_final.stac-item
2023-12-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-12-22_final.stac-item
2023-12-28 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-12-28_final.stac-item
2024-01-08 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-01-08_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