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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMH_2015-10-22_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHS_2016-01-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGN_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNG_2016-04-19_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HNK_2016-07-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-21_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2016-12-08_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HQK_2017-02-13_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_49KHQ_2017-03-01_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HNJ_2017-03-05_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HLK_2017-03-08_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JHM_2017-03-21_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JKP_2017-06-06_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HLH_2017-06-26_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGN_2017-09-27_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2017-11-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HNJ_2017-12-10_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLH_2018-01-19_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMH_2018-02-18_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JKP_2018-02-21_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2018-03-16_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMG_2018-05-19_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPH_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HQK_2018-05-29_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLJ_2018-08-10_final
2018-11-14 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2018-11-14_final
2018-11-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-11-24_final
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final
2019-01-14 11:47:10	ga_s2am_ard_3-2-1_50HLH_2019-01-14_final
2019-02-06 11:57:03	ga_s2am_ard_3-2-1_50HMH_2019-02-06_final
2019-02-26 11:55:42	ga_s2am_ard_3-2-1_50JKP_2019-02-26_final
2019-03-04 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-03-04_final.stac-item
2019-03-14 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-03-14_final
2019-05-07 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-05-07_final
2019-05-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-24_final
2019-07-03 11:47:29	ga_s2am_ard_3-2-1_50HMG_2019-07-03_final.stac-item
2019-07-19 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-19_final
2019-07-20 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-07-20_final.stac-item
2019-08-15 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2019-08-15_final
2019-10-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-10-10_final
2019-11-10 11:47:23	ga_s2am_ard_3-2-1_50HNG_2019-11-10_final.stac-item
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2019-12-06 12:04:40	ga_s2am_ard_3-2-1_49JHN_2019-12-06_final
2020-01-05 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-01-05_final
2020-01-09 11:46:24	ga_s2am_ard_3-2-1_50HQK_2020-01-09_final
2020-01-19 11:46:24	ga_s2am_ard_3-2-1_50HQK_2020-01-19_final
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2020-02-08 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-02-08_final
2020-02-18 11:46:31	ga_s2am_ard_3-2-1_50HMK_2020-02-18_final
2020-02-18 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-02-18_final.stac-item
2020-02-24 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-02-24_final
2020-03-09 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2020-03-09_final
2020-03-09 11:47:17	ga_s2am_ard_3-2-1_50HNG_2020-03-09_final.stac-item
2020-04-15 11:36:33	ga_s2am_ard_3-2-1_50HQK_2020-04-15_final
2020-06-07 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-06-07_final
2020-06-07 11:47:13	ga_s2am_ard_3-2-1_50HNH_2020-06-07_final
2020-09-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-09-15_final
2020-10-18 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-10-18_final
2020-10-25 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-10-25_final
2020-11-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-11-30_final
2021-01-13 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-01-13_final
2021-01-23 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-23_final
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-02-08_final.stac-item
2021-02-11 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-02-11_final
2021-02-12 11:46:28	ga_s2am_ard_3-2-1_50HQK_2021-02-12_final
2021-02-22 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-02-22_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final.stac-item
2021-05-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-05-23_final
2021-06-05 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-05_final
2021-07-05 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-07-05_final
2021-07-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2021-07-15_final
2021-12-05 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-12-05_final
2021-12-19 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-12-19_final
2022-01-04 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-01-04_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-05_final.stac-item
2022-03-18 12:14:02	ga_s2am_ard_3-2-1_49KGR_2022-03-18_final
2022-05-28 11:47:14	ga_s2am_ard_3-2-1_50HNH_2022-05-28_final
2022-06-27 11:47:30	ga_s2am_ard_3-2-1_50HPG_2022-06-27_final.stac-item
2022-07-13 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-07-13_final
2022-08-02 12:05:07	ga_s2am_ard_3-2-1_49JHM_2022-08-02_final
2022-08-12 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-08-12_final
2022-08-22 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-08-22_final
2022-09-04 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-09-04_final.stac-item
2022-10-18 11:57:12	ga_s2am_ard_3-2-1_50HLH_2022-10-18_final.stac-item
2022-12-24 11:46:39	ga_s2am_ard_3-2-1_50HMK_2022-12-24_final.stac-item
2022-12-24 11:47:19	ga_s2am_ard_3-2-1_50HNG_2022-12-24_final.stac-item
2023-04-23 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-23_final.stac-item
2023-08-28 11:36:43	ga_s2am_ard_3-2-1_50HPK_2023-08-28_final.stac-item
2023-08-31 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-08-31_final.stac-item
2023-10-16 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-10-16_final.stac-item
2023-11-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-05_final.stac-item
2023-11-25 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-11-25_final.stac-item
2023-11-29 11:46:22	ga_s2am_ard_3-2-1_50HQK_2023-11-29_final.stac-item
2023-12-09 11:46:24	ga_s2am_ard_3-2-1_50HQK_2023-12-09_final.stac-item
2023-12-25 12:04:43	ga_s2am_ard_3-2-1_49JGN_2023-12-25_final.stac-item
2024-01-24 12:04:36	ga_s2am_ard_3-2-1_49JHN_2024-01-24_final.stac-item
2024-01-28 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2024-01-28_final.stac-item
2024-02-20 11:57:07	ga_s2am_ard_3-2-1_50HLH_2024-02-20_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