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
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50HLK_2015-12-24_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-03-06_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLM_2016-06-11_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQK_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLM_2016-07-01_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HQJ_2016-11-15_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-12-14_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JLM_2016-12-21_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGL_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGN_2017-04-20_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JLP_2017-05-17_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JKP_2017-06-06_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HMK_2017-07-06_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JLP_2017-11-13_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-06_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHS_2018-01-05_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-02-14_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-27_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JLP_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2018-03-16_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JKR_2018-03-26_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLK_2018-05-12_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-08_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLP_2018-07-21_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGK_2018-08-13_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HMK_2018-09-09_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-09-25_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPK_2018-10-23_final
2018-12-01 12:05:03	ga_s2am_ard_3-2-1_50JKR_2018-12-01_final
2018-12-22 11:36:30	ga_s2am_ard_3-2-1_50HPK_2018-12-22_final
2019-01-14 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2019-01-14_final
2019-01-31 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-01-31_final
2019-02-03 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2019-02-03_final
2019-05-14 11:46:34	ga_s2am_ard_3-2-1_50HQK_2019-05-14_final
2019-06-06 11:55:41	ga_s2am_ard_3-2-1_50JLP_2019-06-06_final
2019-09-07 12:05:37	ga_s2am_ard_3-2-1_50JLP_2019-09-07_final
2019-09-17 12:05:37	ga_s2am_ard_3-2-1_50JLP_2019-09-17_final
2019-10-08 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-10-08_final
2019-11-06 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-11-06_final
2019-11-13 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-11-13_final
2019-12-10 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-12-10_final
2020-02-14 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-02-14_final
2020-03-08 12:13:54	ga_s2am_ard_3-2-1_49KGR_2020-03-08_final
2020-04-18 11:47:21	ga_s2am_ard_3-2-1_50HNG_2020-04-18_final.stac-item
2020-04-21 11:55:43	ga_s2am_ard_3-2-1_50JLP_2020-04-21_final
2020-04-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2020-04-24_final.stac-item
2020-05-11 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-05-11_final
2020-06-03 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-03_final
2020-06-04 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-06-04_final
2020-06-17 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-06-17_final
2020-06-23 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-06-23_final
2020-07-10 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-07-10_final
2020-07-20 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-07-20_final
2020-08-02 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-08-02_final
2020-10-01 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-01_final
2020-11-24 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2020-11-24_final
2021-02-02 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-02-02_final
2021-02-05 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-05_final
2021-07-15 11:57:09	ga_s2am_ard_3-2-1_50HMH_2021-07-15_final
2021-08-24 11:56:28	ga_s2am_ard_3-2-1_50JLL_2021-08-24_final
2021-09-03 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-09-03_final
2021-10-06 12:04:47	ga_s2am_ard_3-2-1_50JKT_2021-10-06_final
2021-11-05 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-11-05_final
2021-12-09 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-12-09_final
2021-12-09 11:47:19	ga_s2am_ard_3-2-1_50HNG_2021-12-09_final.stac-item
2021-12-15 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-12-15_final
2021-12-19 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-12-19_final
2021-12-25 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-12-25_final
2022-01-31 11:56:36	ga_s2am_ard_3-2-1_50HMK_2022-01-31_final
2022-02-10 11:55:41	ga_s2am_ard_3-2-1_50JLP_2022-02-10_final
2022-02-20 11:55:43	ga_s2am_ard_3-2-1_50JLP_2022-02-20_final
2022-04-14 12:05:40	ga_s2am_ard_3-2-1_50JLP_2022-04-14_final
2022-05-14 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-05-14_final
2022-06-27 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-06-27_final
2022-07-27 11:47:27	ga_s2am_ard_3-2-1_50HPG_2022-07-27_final.stac-item
2022-10-18 11:56:28	ga_s2am_ard_3-2-1_50JLL_2022-10-18_final.stac-item
2022-10-18 11:57:09	ga_s2am_ard_3-2-1_50HMH_2022-10-18_final.stac-item
2022-12-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-12-14_final.stac-item
2023-01-13 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-01-13_final.stac-item
2023-01-29 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-01-29_final.stac-item
2023-01-30 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-01-30_final.stac-item
2023-03-14 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-03-14_final.stac-item
2023-04-16 11:55:41	ga_s2am_ard_3-2-1_50JLP_2023-04-16_final.stac-item
2023-04-23 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-04-23_final.stac-item
2023-06-02 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-02_final.stac-item
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final.stac-item
2023-08-21 11:47:27	ga_s2am_ard_3-2-1_50HNG_2023-08-21_final.stac-item
2023-09-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2023-09-07_final.stac-item
2023-09-16 12:04:50	ga_s2am_ard_3-2-1_49JGN_2023-09-16_final.stac-item
2023-10-20 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-10-20_final.stac-item
2023-12-15 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2023-12-15_final.stac-item
2023-12-25 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2023-12-25_final.stac-item
2024-01-18 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-18_final.stac-item
2024-01-28 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2024-01-28_final.stac-item
2024-02-17 11:46:39	ga_s2am_ard_3-2-1_50HMK_2024-02-17_final.stac-item
2024-02-17 11:47:12	ga_s2am_ard_3-2-1_50HLH_2024-02-17_final.stac-item
2024-02-20 11:57:04	ga_s2am_ard_3-2-1_50HMH_2024-02-20_final.stac-item
2024-03-24 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2024-03-24_final.stac-item
2024-04-20 11:56:40	ga_s2am_ard_3-2-1_50HMK_2024-04-20_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