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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNH_2016-11-15_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGM_2016-11-24_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLJ_2017-01-07_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMJ_2017-02-16_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HNG_2017-03-25_final.stac-item
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HMJ_2017-05-24_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNG_2017-07-03_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-08-21_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-10-30_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-11-06_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMH_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2018-02-11_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-06-14_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-09-06_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-09-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-10-12_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final
2018-11-14 12:14:50	ga_s2am_ard_3-2-1_49JGM_2018-11-14_final
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2019-01-10 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-01-10_final.stac-item
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-01-30 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2019-01-30_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-03-01 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-21 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-03-21_final
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final
2019-07-06 11:56:41	ga_s2am_ard_3-2-1_50HMK_2019-07-06_final
2019-08-15 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-08-15_final
2019-08-18 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-08-18_final.stac-item
2019-09-17 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-17_final
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final
2019-11-19 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-11-19_final
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final
2020-01-25 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-01-25_final
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final
2020-03-02 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2020-03-02_final
2020-04-01 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-04-01_final
2020-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-05-07_final
2020-05-17 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-05-17_final
2020-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-05-18_final
2020-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-10 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-06-10_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-09-01 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-01_final
2020-09-04 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-09-04_final
2020-10-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-10-04_final
2020-11-04 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-11-04_final
2020-11-17 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-11-17_final
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final
2020-12-04 11:47:19	ga_s2am_ard_3-2-1_50HNG_2020-12-04_final.stac-item
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-01_final
2021-02-18 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-18_final
2021-04-19 12:04:51	ga_s2am_ard_3-2-1_49JHM_2021-04-19_final
2021-05-06 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-05-06_final
2021-05-22 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-05-22_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final
2021-07-01 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-07-01_final
2021-08-21 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-21_final.stac-item
2021-09-03 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-03_final
2021-09-06 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-09-06_final
2021-11-28 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-11-28_final
2021-12-15 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-15_final
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final
2022-01-28 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-28_final
2022-02-16 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-02-16_final
2022-03-09 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-04-11 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-04-11_final
2022-05-08 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-05-08_final
2022-05-28 11:46:45	ga_s2am_ard_3-2-1_50HNK_2022-05-28_final
2022-06-27 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-06-27_final
2022-07-30 11:56:50	ga_s2am_ard_3-2-1_50HLK_2022-07-30_final
2022-09-28 11:57:13	ga_s2am_ard_3-2-1_50HMH_2022-09-28_final.stac-item
2022-10-08 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-10-08_final.stac-item
2023-01-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-01-23_final.stac-item
2023-02-01 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-01_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final.stac-item
2023-03-07 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-03-07_final.stac-item
2023-04-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-04-03_final.stac-item
2023-04-26 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-26_final.stac-item
2023-05-19 12:03:46	ga_s2am_ard_3-2-1_49KHS_2023-05-19_final.stac-item
2023-06-11 12:14:45	ga_s2am_ard_3-2-1_49JGN_2023-06-11_final.stac-item
2023-06-28 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-28_final.stac-item
2023-08-01 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-01_final.stac-item
2023-10-19 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-19_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-05_final.stac-item
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final.stac-item
2023-12-02 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2023-12-02_final.stac-item
2024-01-07 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-01-07_final.stac-item
2024-01-08 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-08_final.stac-item
2024-01-31 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-31_final.stac-item
2024-02-10 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2024-02-10_final.stac-item
2024-03-27 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-27_final.stac-item
2024-04-07 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-04-07_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