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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGK_2016-01-06_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGP_2016-02-08_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQH_2016-11-22_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2016-12-25_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HNG_2017-01-14_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JHN_2017-01-30_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPK_2017-02-20_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGL_2017-03-11_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGK_2017-04-30_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-03_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-05-10_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50HMK_2017-05-17_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQJ_2017-07-30_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49JGN_2017-09-10_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNG_2017-10-31_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-11-06_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLK_2017-11-13_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JHM_2017-11-16_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNH_2018-01-19_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMH_2018-03-10_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPH_2018-04-09_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-04-15_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KHQ_2018-06-14_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-21_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLK_2018-08-20_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNK_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HNG_2018-09-03_final.stac-item
2018-11-08 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2018-11-08_final
2018-12-22 11:37:13	ga_s2am_ard_3-2-1_50HPG_2018-12-22_final.stac-item
2019-02-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2019-02-22_final
2019-03-25 11:46:36	ga_s2am_ard_3-2-1_50HNK_2019-03-25_final
2019-04-10 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-04-10_final
2019-05-21 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-05-21_final
2019-07-13 11:47:15	ga_s2am_ard_3-2-1_50HMH_2019-07-13_final
2019-08-08 12:04:08	ga_s2am_ard_3-2-1_49KHR_2019-08-08_final
2019-08-12 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-08-12_final
2019-09-11 11:46:52	ga_s2am_ard_3-2-1_50HQH_2019-09-11_final
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final
2019-10-21 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-21_final
2019-11-06 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-11-06_final
2019-12-09 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-12-09_final
2019-12-16 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2019-12-16_final
2020-01-19 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-19_final
2020-03-28 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-28_final
2020-04-24 12:04:44	ga_s2am_ard_3-2-1_49JHN_2020-04-24_final
2020-04-25 11:37:23	ga_s2am_ard_3-2-1_50HPG_2020-04-25_final.stac-item
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-07-23 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-07-23_final
2020-07-24 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-07-24_final
2020-08-25 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-08-25_final
2020-08-29 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-08-29_final
2020-09-11 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-09-11_final
2020-10-05 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-05_final
2020-10-11 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-11_final
2020-12-01 11:36:38	ga_s2am_ard_3-2-1_50HPK_2020-12-01_final
2020-12-07 11:57:18	ga_s2am_ard_3-2-1_50HMG_2020-12-07_final.stac-item
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final
2021-07-05 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-07-05_final
2021-07-08 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-07-08_final
2021-08-20 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-20_final
2021-08-31 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-08-31_final.stac-item
2021-09-19 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-09-19_final
2021-10-16 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2021-10-16_final
2021-11-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2021-11-05_final
2021-11-29 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-29_final
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2022-01-15 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2022-01-15_final
2022-02-04 11:37:06	ga_s2am_ard_3-2-1_50HPH_2022-02-04_final
2022-04-18 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-04-18_final
2022-05-01 11:56:45	ga_s2am_ard_3-2-1_50HLK_2022-05-01_final
2022-06-07 11:47:14	ga_s2am_ard_3-2-1_50HNH_2022-06-07_final
2022-07-30 11:57:19	ga_s2am_ard_3-2-1_50HLH_2022-07-30_final
2022-08-26 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-08-26_final.stac-item
2022-08-29 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-29_final
2022-09-12 11:37:13	ga_s2am_ard_3-2-1_50HQH_2022-09-12_final.stac-item
2022-10-11 12:04:39	ga_s2am_ard_3-2-1_49KHP_2022-10-11_final.stac-item
2022-10-11 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-10-11_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2022-12-24_final.stac-item
2022-12-24 11:47:15	ga_s2am_ard_3-2-1_50HPG_2022-12-24_final.stac-item
2022-12-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2022-12-27_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-02-02 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-02_final.stac-item
2023-03-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-20_final.stac-item
2023-03-27 11:55:44	ga_s2am_ard_3-2-1_50JKP_2023-03-27_final.stac-item
2023-04-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-04-03_final.stac-item
2023-04-16 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-04-16_final.stac-item
2023-05-09 12:04:25	ga_s2am_ard_3-2-1_49KGP_2023-05-09_final.stac-item
2023-06-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-06-28_final.stac-item
2023-09-29 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2023-09-29_final.stac-item
2023-11-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-11-02_final.stac-item
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_final.stac-item
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final.stac-item
2024-03-28 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2024-03-28_final.stac-item
2024-04-04 11:36:35	ga_s2am_ard_3-2-1_50HPK_2024-04-04_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