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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-09-11_final.stac-item
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMG_2015-10-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLJ_2016-05-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-11_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HMJ_2016-12-28_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-22_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGL_2017-03-21_final
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-04-13_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLH_2017-06-06_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-10-30_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2017-11-19_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGM_2018-01-25_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMJ_2018-02-08_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-03-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-11-04_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final
2018-11-15 11:47:19	ga_s2am_ard_3-2-1_50HMG_2018-11-15_final.stac-item
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final
2018-12-31 12:04:54	ga_s2am_ard_3-2-1_49JGM_2018-12-31_final
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final
2019-01-30 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2019-01-30_final
2019-01-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-01-30_final
2019-02-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2019-02-02_final
2019-03-21 12:05:13	ga_s2am_ard_3-2-1_49JGL_2019-03-21_final
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final
2019-08-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-08-18_final
2019-09-01 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-09-01_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-09-30 12:15:01	ga_s2am_ard_3-2-1_49JFM_2019-09-30_final
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final
2019-11-06 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-11-06_final
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final
2019-11-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-11-26_final
2019-12-09 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-12-09_final
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-12-29_final
2019-12-29 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-12-29_final
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final
2020-01-22 11:56:53	ga_s2am_ard_3-2-1_50HMH_2020-01-22_final
2020-01-25 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-01-25_final
2020-02-01 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-01_final
2020-02-11 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2020-02-11_final
2020-10-14 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-14_final
2020-10-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-10-24_final
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final
2020-12-14 11:47:11	ga_s2am_ard_3-2-1_50HLH_2020-12-14_final
2020-12-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2020-12-14_final.stac-item
2021-01-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-01-03_final
2021-01-09 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-09_final
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-01_final
2021-06-28 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-06-28_final
2021-09-13 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-13_final
2021-09-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-09-16_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-10-06 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-06_final
2021-10-10 11:47:15	ga_s2am_ard_3-2-1_50HMH_2021-10-10_final
2021-11-12 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-11-12_final
2021-11-15 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-11-15_final
2021-11-28 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-11-28_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final
2022-01-24 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-01-24_final
2022-04-07 12:14:28	ga_s2am_ard_3-2-1_49KGP_2022-04-07_final
2022-08-12 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-12_final
2022-08-19 11:57:18	ga_s2am_ard_3-2-1_50HMH_2022-08-19_final
2022-10-01 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2022-10-21 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-10-21_final.stac-item
2022-10-24 12:14:58	ga_s2am_ard_3-2-1_49JGM_2022-10-24_final.stac-item
2022-10-31 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-31_final.stac-item
2022-11-13 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-11-13_final.stac-item
2022-12-07 13:31:40	ga_s2am_ard_3-2-1_46LHM_2022-12-07_interim.stac-item
2022-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-13_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final.stac-item
2023-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-02-05_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-04-16 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-04-16_final.stac-item
2023-05-12 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-05-12_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-28_final.stac-item
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final.stac-item
2023-10-29 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-29_final.stac-item
2023-11-19 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-11-19_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-11-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2023-11-28_final.stac-item
2023-12-02 11:57:01	ga_s2am_ard_3-2-1_50HLH_2023-12-02_final.stac-item
2024-01-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-01-04_final.stac-item
2024-01-07 12:14:52	ga_s2am_ard_3-2-1_49JGM_2024-01-07_final.stac-item
2024-01-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2024-01-14_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-03-07 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-07_final.stac-item
2024-04-06 12:15:08	ga_s2am_ard_3-2-1_49JGL_2024-04-06_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