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
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGN_2016-01-26_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHR_2016-02-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-09-15_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-09-15_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMG_2016-11-15_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HNK_2017-01-27_final
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-04-13_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGP_2017-04-20_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLH_2017-04-27_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HMJ_2017-07-16_final
2017-07-19 12:03:48	ga_s2am_ard_3-2-1_49KHR_2017-07-19_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHR_2017-09-10_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-10-10_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KHR_2018-01-08_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQH_2018-01-26_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HQJ_2018-03-10_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNG_2018-03-30_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-04-08_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-04-28_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPJ_2018-06-15_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-06-27_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2018-08-26_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KGR_2018-08-26_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-09-29_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HQJ_2018-10-26_final
2018-11-28 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-11-28_final
2018-12-01 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-01_final
2019-03-01 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-03-01_final
2019-03-12 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-03-12_final.stac-item
2019-04-14 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final
2019-05-27 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-05-27_final
2019-06-03 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-03_final
2019-06-09 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-06-09_final
2019-07-03 11:47:07	ga_s2am_ard_3-2-1_50HPH_2019-07-03_final
2019-09-30 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-09-30_final
2019-10-21 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-10-21_final
2019-10-30 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-10-30_final
2019-12-06 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-12-06_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2019-12-26 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-26_final
2020-01-25 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-25_final.stac-item
2020-02-17 12:14:35	ga_s2am_ard_3-2-1_49JGN_2020-02-17_final
2020-03-28 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-28_final
2020-04-08 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2020-04-08_final
2020-04-15 11:37:02	ga_s2am_ard_3-2-1_50HQH_2020-04-15_final
2020-05-15 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-05-15_final.stac-item
2020-06-16 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-06-16_final
2020-06-17 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-06-17_final
2020-07-23 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-07-23_final
2020-09-01 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-09-01_final
2020-09-21 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-09-21_final
2020-10-05 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-05_final
2020-10-14 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-10-14_final
2020-12-04 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2020-12-04_final
2020-12-10 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-12-10_final
2021-01-19 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-19_final
2021-03-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2021-03-23_final
2021-04-13 11:47:04	ga_s2am_ard_3-2-1_50HMH_2021-04-13_final
2021-04-16 11:57:14	ga_s2am_ard_3-2-1_50HMG_2021-04-16_final.stac-item
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final
2021-09-06 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-09-06_final
2021-11-29 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-29_final
2021-12-12 11:55:45	ga_s2am_ard_3-2-1_50JKP_2021-12-12_final
2021-12-19 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-12-19_final
2022-01-11 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-01-11_final
2022-01-28 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-01-28_final
2022-03-15 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-03-15_final
2022-04-18 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-04-18_final
2022-05-25 11:37:10	ga_s2am_ard_3-2-1_50HQH_2022-05-25_final
2022-07-24 11:37:02	ga_s2am_ard_3-2-1_50HPJ_2022-07-24_final
2022-07-30 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-07-30_final
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-09-01_final.stac-item
2022-09-02 11:37:38	ga_s2am_ard_3-2-1_50HNG_2022-09-02_final.stac-item
2022-09-21 12:04:07	ga_s2am_ard_3-2-1_49KHR_2022-09-21_final.stac-item
2022-09-21 12:04:36	ga_s2am_ard_3-2-1_49KGP_2022-09-21_final.stac-item
2022-10-05 11:47:24	ga_s2am_ard_3-2-1_50HPG_2022-10-05_final.stac-item
2022-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2022-11-30_final.stac-item
2022-12-31 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2022-12-31_final.stac-item
2023-01-03 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-01-03_final.stac-item
2023-01-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-01-09_final.stac-item
2023-05-19 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2023-05-19_final.stac-item
2023-06-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-19_final.stac-item
2023-06-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-19_final.stac-item
2023-06-21 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2023-06-21_final.stac-item
2023-07-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-07-22_final.stac-item
2023-08-20 12:14:01	ga_s2am_ard_3-2-1_49KHR_2023-08-20_final.stac-item
2023-08-27 12:05:47	ga_s2am_ard_3-2-1_50JKP_2023-08-27_final.stac-item
2023-09-17 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2023-09-17_final.stac-item
2023-11-08 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-11-08_final.stac-item
2023-11-09 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-11-09_final.stac-item
2023-11-22 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-11-22_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2023-12-19 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-12-19_final.stac-item
2024-03-11 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-11_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