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
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNJ_2016-06-18_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HMJ_2016-09-06_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLK_2016-10-09_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGM_2016-11-01_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-30_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMG_2017-07-03_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-07-09_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMG_2017-09-14_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-10-07_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLJ_2017-11-13_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMJ_2017-12-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGP_2018-03-09_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_50HMJ_2018-03-13_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLH_2018-05-02_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNH_2018-05-09_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-05-12_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HNG_2018-06-08_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-11_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-07-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGN_2018-07-27_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-06_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-15_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMH_2018-10-29_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNK_2018-11-05_final
2018-11-15 11:46:32	ga_s2am_ard_3-2-1_50HNK_2018-11-15_final
2018-11-18 11:56:34	ga_s2am_ard_3-2-1_50HLK_2018-11-18_final
2018-11-21 12:04:24	ga_s2am_ard_3-2-1_49KGP_2018-11-21_final
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_49KHR_2018-12-01_final
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-21_final
2018-12-25 11:47:02	ga_s2am_ard_3-2-1_50HMH_2018-12-25_final
2018-12-28 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-12-28_final
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final
2019-05-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-05-04_final.stac-item
2019-06-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-06-29_final
2019-07-03 11:47:29	ga_s2am_ard_3-2-1_50HMG_2019-07-03_final.stac-item
2019-07-20 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-20_final.stac-item
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-09-07 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-07_final
2019-09-07 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-07_final
2019-10-31 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-31_final
2019-11-20 11:46:42	ga_s2am_ard_3-2-1_50HMK_2019-11-20_final
2019-11-30 11:47:13	ga_s2am_ard_3-2-1_50HLH_2019-11-30_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-01-28 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-01-28_final.stac-item
2020-03-15 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-03-15_final
2020-03-28 12:13:36	ga_s2am_ard_3-2-1_49KHS_2020-03-28_final.stac-item
2020-04-24 12:05:02	ga_s2am_ard_3-2-1_49JGM_2020-04-24_final
2020-05-08 11:47:10	ga_s2am_ard_3-2-1_50HNH_2020-05-08_final
2020-06-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-06-23_final
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final
2020-11-04 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-11-04_final
2020-12-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2020-12-20_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2021-01-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-01-16_final
2021-01-16 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-16_final.stac-item
2021-02-28 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-02-28_final
2021-03-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-03-14_final.stac-item
2021-04-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2021-04-19_final
2021-04-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-04-29_final.stac-item
2021-05-06 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-05-06_final
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final
2021-06-11 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-11_final
2021-07-01 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-07-01_final
2021-07-01 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-07-01_final
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final
2021-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-09-19_final.stac-item
2021-10-16 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-16_final
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final.stac-item
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final
2022-03-28 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final
2022-04-11 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-04-11 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-06-17 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-06-17_final
2022-07-13 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-13_final.stac-item
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-08-09 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-08-09_final
2022-08-25 12:14:54	ga_s2am_ard_3-2-1_49JGN_2022-08-25_final
2022-09-01 12:04:11	ga_s2am_ard_3-2-1_49KHR_2022-09-01_final.stac-item
2022-10-04 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-10-04_final.stac-item
2023-02-01 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-01_final.stac-item
2023-02-22 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-02-22_final.stac-item
2023-04-02 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-04-02_final.stac-item
2023-05-29 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-05-29_final.stac-item
2023-07-01 12:14:46	ga_s2am_ard_3-2-1_49JGN_2023-07-01_final.stac-item
2023-08-10 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-08-10_final.stac-item
2023-09-06 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-09-06_final.stac-item
2023-12-08 12:15:05	ga_s2am_ard_3-2-1_49JGL_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

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