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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKS_2016-02-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPG_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQG_2016-05-16_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KHR_2016-09-05_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-31_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPJ_2017-02-03_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2017-02-19_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPJ_2017-02-20_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HMK_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNH_2017-05-04_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49JGN_2017-08-01_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLL_2017-08-25_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGP_2017-09-10_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNH_2017-10-31_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JKT_2017-11-06_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-11-26_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-17_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-03-29_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKM_2018-04-12_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-04-18_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPJ_2018-06-08_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLG_2018-07-31_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMK_2018-08-17_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-22_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNK_2018-11-05_final
2018-11-15 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2018-11-15_final
2018-12-02 11:36:43	ga_s2am_ard_3-2-1_50HPJ_2018-12-02_final
2019-02-09 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-02-09_final
2019-04-01 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-04-01_final.stac-item
2019-05-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-03_final
2019-05-17 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-05-17_final
2019-05-21 11:36:41	ga_s2am_ard_3-2-1_50HPK_2019-05-21_final
2019-06-20 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-06-20_final.stac-item
2019-07-23 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-23_final
2019-07-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-07-30_final
2019-08-12 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-08-12_final
2019-08-21 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-08-21_final
2019-08-21 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-08-21_final
2019-08-22 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-08-22_final
2019-10-17 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-17_final
2019-11-07 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-11-07_final.stac-item
2019-11-09 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-11-09_final
2019-11-17 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-11-17_final.stac-item
2019-11-23 11:55:47	ga_s2am_ard_3-2-1_50JKP_2019-11-23_final
2020-02-04 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2020-02-04_final
2020-02-14 12:04:25	ga_s2am_ard_3-2-1_49KGP_2020-02-14_final
2020-02-17 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-02-17_final
2020-03-08 12:14:23	ga_s2am_ard_3-2-1_49KGP_2020-03-08_final
2020-04-14 12:04:56	ga_s2am_ard_3-2-1_49JHM_2020-04-14_final
2020-05-01 11:56:28	ga_s2am_ard_3-2-1_50JLL_2020-05-01_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final
2020-06-06 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-06-06_final
2020-06-17 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-06-17_final
2020-06-24 11:37:32	ga_s2am_ard_3-2-1_50HNG_2020-06-24_final.stac-item
2020-07-13 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-07-13_final
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-07-23_final
2020-08-23 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-08-23_final.stac-item
2020-12-10 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2020-12-10_final
2020-12-17 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-12-17_final
2020-12-24 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2020-12-24_final
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final
2021-01-13 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-01-13_final
2021-04-02 12:13:55	ga_s2am_ard_3-2-1_49KGR_2021-04-02_final
2021-05-03 11:47:00	ga_s2am_ard_3-2-1_50HPH_2021-05-03_final
2021-05-09 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-05-09_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-06-25 11:56:12	ga_s2am_ard_3-2-1_50JLM_2021-06-25_final
2021-12-02 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-02_final
2021-12-08 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-12-08_final
2022-01-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-01-01_final
2022-01-08 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-01-08_final
2022-02-13 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-02-13_final
2022-03-12 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-03-12_final
2022-04-18 11:47:25	ga_s2am_ard_3-2-1_50HNG_2022-04-18_final.stac-item
2022-04-24 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-04-24_final
2022-04-28 11:47:29	ga_s2am_ard_3-2-1_50HMG_2022-04-28_final.stac-item
2022-05-04 12:05:46	ga_s2am_ard_3-2-1_50JKP_2022-05-04_final
2022-06-24 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-06-24_final
2022-09-11 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-09-11_final.stac-item
2022-09-14 12:14:04	ga_s2am_ard_3-2-1_49KHR_2022-09-14_final.stac-item
2022-11-04 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-11-04_final.stac-item
2022-12-13 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-12-13_final.stac-item
2022-12-31 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2022-12-31_final.stac-item
2023-02-02 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-02-08_final.stac-item
2023-02-25 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-02-25_final.stac-item
2023-02-28 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-03-11 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-03-11_final.stac-item
2023-05-19 12:05:03	ga_s2am_ard_3-2-1_49JGM_2023-05-19_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-07-12 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-07-12_final.stac-item
2023-09-17 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-09-17_final.stac-item
2023-11-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2023-11-12_final.stac-item
2023-12-09 11:46:57	ga_s2am_ard_3-2-1_50HPH_2023-12-09_final.stac-item
2023-12-25 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-12-25_final.stac-item
2024-01-18 11:46:53	ga_s2am_ard_3-2-1_50HPH_2024-01-18_final.stac-item
2024-02-07 11:47:17	ga_s2am_ard_3-2-1_50HNG_2024-02-07_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