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
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKM_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HMH_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-03-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHM_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-04-25_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-06-14_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMK_2016-11-05_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLH_2016-11-28_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNG_2016-12-25_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-01-03_final
2017-01-04 11:46:21	ga_s2am_ard_3-2-1_50HPJ_2017-01-04_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-01-20_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KGQ_2017-03-14_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGN_2017-04-20_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-05-10_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLG_2017-09-14_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHN_2017-09-17_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHM_2017-11-26_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2017-12-19_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMH_2018-02-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-02-24_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-05-18_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HNG_2018-05-26_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-06-27_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLH_2018-07-11_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-24_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final
2018-12-11 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-11_final
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final
2019-01-20 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-01-20_final
2019-01-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2019-01-30_final
2019-02-06 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-02-06_final
2019-02-26 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-02-26_final.stac-item
2019-03-21 12:04:55	ga_s2am_ard_3-2-1_49JHM_2019-03-21_final
2019-04-30 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-04-30_final
2019-04-30 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2019-04-30_final
2019-06-23 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-06-23_final
2019-07-26 11:55:51	ga_s2am_ard_3-2-1_50JKP_2019-07-26_final
2019-07-29 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-29_final
2019-08-15 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-08-15_final
2019-08-15 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-08-15_final
2019-08-25 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-08-25_final
2019-10-21 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-10-21_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-01-12 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-01-12_final
2020-02-14 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2020-02-14_final
2020-03-26 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-03-26_final
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final
2020-04-08 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-04-08_final
2020-04-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_2020-04-11_final
2020-07-03 12:05:01	ga_s2am_ard_3-2-1_49JHM_2020-07-03_final
2020-07-10 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-07-10_final
2020-09-08 11:56:44	ga_s2am_ard_3-2-1_50HLK_2020-09-08_final
2020-10-12 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-12_final
2020-12-07 11:56:34	ga_s2am_ard_3-2-1_50HMK_2020-12-07_final
2021-02-28 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-28_final.stac-item
2021-03-07 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-03-07_final
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final
2021-05-03 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2021-05-03_final
2021-06-01 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-05 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-06-05_final
2021-06-22 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-22_final
2021-08-24 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-08-24_final
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final.stac-item
2021-09-10 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-09-10_final.stac-item
2021-09-16 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-09-16_final
2021-09-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-09-16_final
2022-01-08 11:47:18	ga_s2am_ard_3-2-1_50HPG_2022-01-08_final.stac-item
2022-02-20 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-02-20_final
2022-03-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2022-03-05_final
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-03-08_final.stac-item
2022-04-21 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-04-21_final
2022-05-14 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-05-14_final
2022-05-28 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-05-28_final
2022-10-08 11:56:43	ga_s2am_ard_3-2-1_50HMK_2022-10-08_final.stac-item
2022-10-21 12:04:55	ga_s2am_ard_3-2-1_49JHM_2022-10-21_final.stac-item
2022-11-04 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-11-04_final.stac-item
2022-11-24 11:46:29	ga_s2am_ard_3-2-1_50HQK_2022-11-24_final.stac-item
2023-01-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2023-01-20_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-01-29_final.stac-item
2023-01-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2023-01-29_final.stac-item
2023-02-01 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-02-01_final.stac-item
2023-02-05 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-02-05_final.stac-item
2023-02-05 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-02-05_final.stac-item
2023-02-12 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-02-12_final.stac-item
2023-02-22 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-02-22_final.stac-item
2023-03-03 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-03-03_final.stac-item
2023-03-20 12:04:31	ga_s2am_ard_3-2-1_49JHN_2023-03-20_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final.stac-item
2023-05-26 11:56:40	ga_s2am_ard_3-2-1_50HMK_2023-05-26_final.stac-item
2023-05-29 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-05-29_final.stac-item
2023-06-12 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-06-12_final.stac-item
2023-06-12 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-12_final.stac-item
2023-07-15 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-07-15_final.stac-item
2023-11-05 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-11-05_final.stac-item
2023-11-25 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-11-25_final.stac-item
2023-12-15 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2023-12-15_final.stac-item
2024-03-14 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2024-03-14_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