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
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKS_2016-04-25_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-08-16_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPH_2016-11-15_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JKN_2016-11-18_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMG_2016-12-08_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HPH_2017-03-05_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLT_2018-01-12_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2018-02-11_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-17_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HPJ_2018-02-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPJ_2018-06-08_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKP_2018-06-21_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-10-16_final.stac-item
2018-12-21 12:04:49	ga_s2am_ard_3-2-1_50JKS_2018-12-21_final
2019-01-01 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2019-01-01_final
2019-01-27 11:56:08	ga_s2am_ard_3-2-1_50JLM_2019-01-27_final
2019-02-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2019-02-02_final
2019-02-10 11:36:59	ga_s2am_ard_3-2-1_50HQH_2019-02-10_final
2019-04-07 11:56:27	ga_s2am_ard_3-2-1_50JLL_2019-04-07_final
2019-05-10 12:04:32	ga_s2am_ard_3-2-1_49KHP_2019-05-10_final
2019-05-13 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-05-13_final
2019-05-14 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-05-14_final.stac-item
2019-10-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-10-20_final
2019-11-10 11:46:32	ga_s2am_ard_3-2-1_50HQK_2019-11-10_final
2019-11-17 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-11-17_final.stac-item
2019-11-27 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2019-11-27_final
2019-12-23 11:56:24	ga_s2am_ard_3-2-1_50HNK_2019-12-23_final
2019-12-23 11:56:34	ga_s2am_ard_3-2-1_50HLK_2019-12-23_final
2020-01-02 11:56:24	ga_s2am_ard_3-2-1_50HNK_2020-01-02_final
2020-01-25 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-01-25_final
2020-01-29 11:47:17	ga_s2am_ard_3-2-1_50HMG_2020-01-29_final.stac-item
2020-02-07 12:14:33	ga_s2am_ard_3-2-1_49JGN_2020-02-07_final
2020-02-14 12:05:31	ga_s2am_ard_3-2-1_50JLP_2020-02-14_final
2020-03-06 11:37:02	ga_s2am_ard_3-2-1_50HPH_2020-03-06_final
2020-04-04 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-04-04_final
2020-04-14 12:04:56	ga_s2am_ard_3-2-1_49JHM_2020-04-14_final
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-04-17_final
2020-05-01 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2020-05-01_final
2020-07-17 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-07-17_final
2020-07-20 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-07-20_final
2020-08-22 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-08-22_final
2020-09-01 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-09-01_final
2020-09-11 12:05:41	ga_s2am_ard_3-2-1_50JLP_2020-09-11_final
2020-09-12 11:37:30	ga_s2am_ard_3-2-1_50HNG_2020-09-12_final.stac-item
2020-11-13 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-11-13_final
2020-11-20 12:04:45	ga_s2am_ard_3-2-1_50JKT_2020-11-20_final
2020-11-24 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2020-11-24_final
2020-12-04 11:47:01	ga_s2am_ard_3-2-1_50HPH_2020-12-04_final
2020-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2020-12-21_final
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final
2021-01-09 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-01-09_final
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-22_final
2021-03-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-03-27_final
2021-04-06 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-04-29 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-04-29_final
2021-06-15 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-06-15_final
2021-08-27 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-08-27_final
2021-11-28 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-28_final
2021-11-29 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-29_final
2021-12-02 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-12-02_final
2021-12-26 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-12-26_final
2022-01-04 12:04:41	ga_s2am_ard_3-2-1_50JLT_2022-01-04_final
2022-02-23 12:05:54	ga_s2am_ard_3-2-1_50JLN_2022-02-23_final
2022-03-05 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-03-05_final
2022-03-09 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-03-09_final
2022-04-11 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-04-11_final
2022-04-25 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-04-25_final
2022-05-14 12:04:32	ga_s2am_ard_3-2-1_49KGP_2022-05-14_final
2022-07-06 12:14:08	ga_s2am_ard_3-2-1_49KHR_2022-07-06_final
2022-09-02 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-09-02_final.stac-item
2022-09-21 12:05:45	ga_s2am_ard_3-2-1_50JLP_2022-09-21_final.stac-item
2022-10-15 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-10-15_final.stac-item
2022-11-30 12:04:43	ga_s2am_ard_3-2-1_50JKT_2022-11-30_final.stac-item
2023-01-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-01-03_final.stac-item
2023-02-02 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-02_final.stac-item
2023-03-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-21_final.stac-item
2023-04-10 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-04-10_final.stac-item
2023-04-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-04-12_final.stac-item
2023-04-23 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-04-23_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-06-09 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-06-09_final.stac-item
2023-07-01 12:13:59	ga_s2am_ard_3-2-1_49KHR_2023-07-01_final.stac-item
2023-07-12 11:47:26	ga_s2am_ard_3-2-1_50HNG_2023-07-12_final.stac-item
2023-08-27 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2023-08-27_final.stac-item
2023-09-17 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-09-17_final.stac-item
2023-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-19_final.stac-item
2023-10-20 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-10-20_final.stac-item
2023-11-02 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-11-02_final.stac-item
2023-11-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2023-11-12_final.stac-item
2023-11-19 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-11-19_final.stac-item
2023-11-19 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-11-19_final.stac-item
2023-12-12 11:56:21	ga_s2am_ard_3-2-1_50JLL_2023-12-12_final.stac-item
2023-12-19 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-12-19_final.stac-item
2024-03-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-11_final.stac-item
2024-03-25 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-03-25_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