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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGM_2015-11-20_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGQ_2016-01-16_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JGL_2016-03-29_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KGR_2016-04-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGN_2016-05-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HLH_2016-06-18_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQH_2016-07-15_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HPK_2016-10-23_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HQH_2016-11-02_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HLG_2016-12-15_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLJ_2017-01-07_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLJ_2017-05-17_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-07-09_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HMK_2017-08-05_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFM_2017-12-09_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-03-29_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KGP_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-04-08_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-04-15_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KGP_2018-06-14_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGP_2018-07-27_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-10-12_final
2019-01-04 11:46:49	ga_s2am_ard_3-2-1_50HPH_2019-01-04_final
2019-01-30 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-30_final
2019-02-13 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2019-02-13_final
2019-02-20 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-02-20_final
2019-02-26 11:56:32	ga_s2am_ard_3-2-1_50HMK_2019-02-26_final
2019-03-01 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-03-21_final.stac-item
2019-05-07 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-05-07_final
2019-05-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-05-23_final
2019-05-24 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-05-24_final
2019-05-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-24_final
2019-07-12 12:14:32	ga_s2am_ard_3-2-1_49KGP_2019-07-12_final
2019-07-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-07-30_final
2019-08-25 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-08-25_final.stac-item
2019-09-10 12:14:40	ga_s2am_ard_3-2-1_49JGN_2019-09-10_final
2019-10-08 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-10-08_final
2019-10-24 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-10-24_final
2019-12-26 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-26_final
2019-12-30 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2019-12-30_final
2020-01-28 12:14:34	ga_s2am_ard_3-2-1_49JGN_2020-01-28_final
2020-02-18 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-02-18_final
2020-04-08 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2020-04-08_final
2020-05-07 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-05-07_final
2020-06-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-06-30_final
2020-07-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-07-26_final
2020-12-14 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-12-14_final
2020-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2020-12-21_final
2020-12-24 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2020-12-24_final
2021-01-09 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-09_final
2021-01-23 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-01-23_final
2021-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-05_final
2021-02-18 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-18_final
2021-03-14 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-03-14_final
2021-04-16 11:56:30	ga_s2am_ard_3-2-1_50HMK_2021-04-16_final
2021-06-18 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-06-18_final
2021-06-19 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-06-19_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-08-11 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-08-11_final
2021-08-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-30_final
2021-09-07 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-09-07_final.stac-item
2021-09-16 12:04:29	ga_s2am_ard_3-2-1_49KHP_2021-09-16_final
2021-10-06 12:04:33	ga_s2am_ard_3-2-1_49KHP_2021-10-06_final
2021-10-06 12:04:51	ga_s2am_ard_3-2-1_49JGN_2021-10-06_final
2021-10-10 11:46:43	ga_s2am_ard_3-2-1_50HNK_2021-10-10_final
2021-10-26 12:05:02	ga_s2am_ard_3-2-1_49JHM_2021-10-26_final
2021-10-30 11:47:14	ga_s2am_ard_3-2-1_50HMH_2021-10-30_final
2021-11-26 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-11-26_final
2021-12-18 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-12-18_final
2022-01-27 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-01-27_final
2022-04-07 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-04-07_final
2022-04-18 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-04-18_final
2022-06-26 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-06-26_final
2022-07-06 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-07-06_final
2022-09-14 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2022-09-14_final.stac-item
2022-12-24 11:47:04	ga_s2am_ard_3-2-1_50HNH_2022-12-24_final.stac-item
2023-01-02 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-01-02_final.stac-item
2023-02-12 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-12_final.stac-item
2023-05-22 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-05-22_final.stac-item
2023-07-22 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-22_final.stac-item
2023-08-20 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-08-20_final.stac-item
2023-08-31 11:46:39	ga_s2am_ard_3-2-1_50HPK_2023-08-31_final.stac-item
2023-09-29 12:15:21	ga_s2am_ard_3-2-1_49JGK_2023-09-29_final.stac-item
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final.stac-item
2023-12-09 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2023-12-09_final.stac-item
2024-01-07 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-01-07_final.stac-item
2024-01-11 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-11_final.stac-item
2024-01-21 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final.stac-item
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final.stac-item
2024-04-06 12:13:56	ga_s2am_ard_3-2-1_49KGR_2024-04-06_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