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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMG_2015-11-21_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMK_2016-07-08_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HLK_2016-08-20_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-05_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HMK_2016-10-16_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-11_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HMH_2017-03-25_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-11-29_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGM_2018-01-08_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGM_2018-01-25_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-02-07_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMJ_2018-03-20_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNH_2018-03-30_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNJ_2018-03-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHR_2018-04-05_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLH_2018-04-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMK_2018-04-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGJ_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHM_2018-06-24_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMG_2018-06-28_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLG_2018-07-11_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-24_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNG_2018-08-07_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGK_2018-08-23_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-11-15 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2018-11-15_final
2018-12-05 11:46:32	ga_s2am_ard_3-2-1_50HMK_2018-12-05_final
2018-12-28 11:56:29	ga_s2am_ard_3-2-1_50HMK_2018-12-28_final
2018-12-31 12:04:25	ga_s2am_ard_3-2-1_49KGP_2018-12-31_final
2019-01-14 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-01-14_final.stac-item
2019-03-21 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-03-21_final
2019-05-23 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-23_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-06-19_final.stac-item
2019-07-09 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-07-09_final
2019-08-25 11:57:22	ga_s2am_ard_3-2-1_50HMG_2019-08-25_final.stac-item
2019-10-14 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-10-14_final
2019-10-17 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-17_final
2019-11-10 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-11-10_final
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-02-18 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-02-18_final.stac-item
2020-03-25 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final.stac-item
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final
2020-05-08 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-05-08_final
2020-08-12 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-12_final
2020-08-22 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-22_final
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final
2020-10-28 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-10-28_final.stac-item
2020-12-07 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-07_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final
2021-02-05 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-05_final
2021-02-28 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-02-28_final
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final
2021-03-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-17_final
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final
2021-03-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-03-30_final
2021-04-13 11:47:04	ga_s2am_ard_3-2-1_50HMH_2021-04-13_final
2021-05-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-05-22_final
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-06-28_final
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final
2021-07-02 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-07-02_final.stac-item
2021-07-08 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-07-08_final
2021-07-28 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-28_final
2021-08-10 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-08-10_final
2021-08-17 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-17_final
2021-09-03 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-03_final
2021-10-23 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-23_final
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2021-11-05 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-11-05_final
2021-11-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-11-05_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2021-12-05 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-05_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2022-02-10 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-02-10_final.stac-item
2022-03-25 12:04:59	ga_s2am_ard_3-2-1_49JHM_2022-03-25_final
2022-07-30 11:57:15	ga_s2am_ard_3-2-1_50HMH_2022-07-30_final
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-05-23 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-05-23_final.stac-item
2023-06-02 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-02_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-31_final.stac-item
2023-08-11 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-08-11_final.stac-item
2023-09-26 12:04:45	ga_s2am_ard_3-2-1_49JHN_2023-09-26_final.stac-item
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final.stac-item
2023-12-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-12-22_final.stac-item
2024-02-13 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-02-13_final.stac-item
2024-03-27 12:14:42	ga_s2am_ard_3-2-1_49JGN_2024-03-27_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