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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JLL_2015-11-14_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGL_2016-04-15_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JLL_2016-08-10_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-10-25_final.stac-item
2016-11-08 11:56:06	ga_s2am_ard_3-2-1_50JLM_2016-11-08_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPJ_2016-12-05_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HQK_2017-02-13_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JHM_2017-03-01_final
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-03-24_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNG_2017-04-14_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-10_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLH_2017-06-13_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMJ_2017-07-03_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-07-09_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQJ_2017-07-30_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPJ_2018-02-18_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JLL_2018-04-12_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-04-26_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-07-17_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLM_2018-08-13_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKP_2018-09-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-11-01_final
2018-11-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-11-25_final
2018-12-18 11:56:02	ga_s2am_ard_3-2-1_50JLM_2018-12-18_final
2018-12-25 11:47:13	ga_s2am_ard_3-2-1_50HNG_2018-12-25_final.stac-item
2019-01-04 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-04_final
2019-02-03 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-02-03_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-02-19 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-19_final.stac-item
2019-04-21 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-04-21_final.stac-item
2019-05-04 11:46:34	ga_s2am_ard_3-2-1_50HQK_2019-05-04_final
2019-05-10 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-05-10_final
2019-05-20 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-20_final.stac-item
2019-06-03 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-06-03_final
2019-06-20 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-06-20_final.stac-item
2019-07-03 11:47:22	ga_s2am_ard_3-2-1_50HPG_2019-07-03_final.stac-item
2019-08-15 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-08-15_final
2019-10-21 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-21_final
2019-11-30 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-11-30_final
2019-12-27 11:36:59	ga_s2am_ard_3-2-1_50HPH_2019-12-27_final
2020-01-02 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-01-02_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-01-25 12:05:45	ga_s2am_ard_3-2-1_50JLN_2020-01-25_final
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final
2020-04-27 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2020-04-27_final
2020-05-01 11:55:49	ga_s2am_ard_3-2-1_50JKP_2020-05-01_final
2020-05-14 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-05-14_final
2020-05-21 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-21_final
2020-06-06 12:14:48	ga_s2am_ard_3-2-1_49JGN_2020-06-06_final
2020-06-20 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-06-20_final
2020-06-24 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-24_final.stac-item
2020-07-03 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-03_final
2020-09-01 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-09-01_final
2020-09-08 11:56:00	ga_s2am_ard_3-2-1_50JLN_2020-09-08_final
2020-10-01 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-01_final
2020-10-28 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-10-28_final.stac-item
2020-12-24 11:47:16	ga_s2am_ard_3-2-1_50HPG_2020-12-24_final.stac-item
2021-06-05 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-05_final
2021-06-05 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-05_final.stac-item
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-06-25 11:57:22	ga_s2am_ard_3-2-1_50HMG_2021-06-25_final.stac-item
2021-07-28 12:05:00	ga_s2am_ard_3-2-1_50JKS_2021-07-28_final
2021-12-09 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-12-09_final
2021-12-19 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-12-19_final
2021-12-22 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-12-22_final
2021-12-22 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-12-22_final.stac-item
2022-01-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-01-01_final
2022-01-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-05_final
2022-01-14 12:05:52	ga_s2am_ard_3-2-1_50JLN_2022-01-14_final
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final
2022-05-21 11:55:53	ga_s2am_ard_3-2-1_50JKP_2022-05-21_final
2022-05-24 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-05-24_final
2022-08-15 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-15_final
2022-10-24 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-10-24_final.stac-item
2022-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-11-10_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2022-11-20 12:04:29	ga_s2am_ard_3-2-1_49KHP_2022-11-20_final.stac-item
2022-11-27 11:55:46	ga_s2am_ard_3-2-1_50JKP_2022-11-27_final.stac-item
2022-12-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-01_final.stac-item
2022-12-04 11:46:30	ga_s2am_ard_3-2-1_50HQK_2022-12-04_final.stac-item
2022-12-10 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-12-10_final.stac-item
2023-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2023-02-08_final.stac-item
2023-02-22 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2023-02-22_final.stac-item
2023-03-01 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-03-01_final.stac-item
2023-03-14 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-14_final.stac-item
2023-04-20 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-04-20_final.stac-item
2023-06-21 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-21_final.stac-item
2023-09-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-03_final.stac-item
2023-09-10 11:47:26	ga_s2am_ard_3-2-1_50HNG_2023-09-10_final.stac-item
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-10-13 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-10-13_final.stac-item
2023-10-17 11:37:20	ga_s2am_ard_3-2-1_50HPG_2023-10-17_final.stac-item
2023-10-20 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2023-10-20_final.stac-item
2023-10-30 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-10-30_final.stac-item
2023-11-08 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-11-08_final.stac-item
2023-11-15 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-11-15_final.stac-item
2024-02-20 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2024-02-20_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