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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HQH_2016-01-07_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JLM_2016-07-14_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHQ_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-08-13_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JLL_2016-09-29_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50JML_2016-11-08_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGN_2016-12-01_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKR_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNJ_2017-01-24_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JML_2017-03-08_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JML_2017-03-25_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HPG_2017-04-14_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2017-05-20_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JLP_2017-05-30_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHS_2017-07-12_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLG_2017-12-03_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLH_2017-12-30_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HPH_2018-03-07_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JLP_2018-04-02_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-04-18_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JKP_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPH_2018-05-29_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-07-04_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMK_2018-10-29_final
2018-11-18 11:55:36	ga_s2am_ard_3-2-1_50JLP_2018-11-18_final
2018-11-28 11:56:17	ga_s2am_ard_3-2-1_50JLL_2018-11-28_final
2018-12-21 12:04:31	ga_s2am_ard_3-2-1_50JLT_2018-12-21_final
2019-01-21 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-01-21_final
2019-02-06 11:55:39	ga_s2am_ard_3-2-1_50JLP_2019-02-06_final
2019-02-16 11:55:38	ga_s2am_ard_3-2-1_50JLP_2019-02-16_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-04-27 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-04-27_final
2019-05-27 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-05-27_final
2019-07-06 11:55:47	ga_s2am_ard_3-2-1_50JLP_2019-07-06_final
2019-07-16 11:56:16	ga_s2am_ard_3-2-1_50JLM_2019-07-16_final
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final
2019-08-08 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-08-08_final.stac-item
2019-08-31 12:13:40	ga_s2am_ard_3-2-1_49KHS_2019-08-31_final.stac-item
2019-09-27 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-09-27_final
2019-10-24 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-24_final
2019-11-06 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-11-06_final
2019-11-23 11:55:42	ga_s2am_ard_3-2-1_50JLP_2019-11-23_final
2019-11-23 11:56:23	ga_s2am_ard_3-2-1_50JML_2019-11-23_final
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2019-12-06 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-12-06_final
2020-01-22 11:55:35	ga_s2am_ard_3-2-1_50JLP_2020-01-22_final
2020-02-08 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2020-02-08_final
2020-02-08 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-02-08_final
2020-03-09 11:46:37	ga_s2am_ard_3-2-1_50HMK_2020-03-09_final
2020-05-28 11:46:19	ga_s2am_ard_3-2-1_50JMM_2020-05-28_final
2020-07-27 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-07-27_final
2020-08-02 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-02_final
2020-08-26 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-08-26_final
2020-09-08 11:55:46	ga_s2am_ard_3-2-1_50JLP_2020-09-08_final
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final
2020-12-07 11:56:20	ga_s2am_ard_3-2-1_50JML_2020-12-07_final
2021-01-13 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-01-13_final
2021-02-09 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-09_final
2021-02-22 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-22_final
2021-03-20 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-03-20_final
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final
2021-03-27 11:56:20	ga_s2am_ard_3-2-1_50JML_2021-03-27_final
2021-07-15 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-15_final
2021-08-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2021-08-27_final
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final
2021-10-13 11:56:16	ga_s2am_ard_3-2-1_50JLM_2021-10-13_final
2021-11-16 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-11-16_final
2021-12-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-12-05_final
2021-12-09 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-12-09_final
2021-12-29 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-12-29_final
2022-02-16 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-02-16_final.stac-item
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-05_final.stac-item
2022-04-08 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-04-08_final
2022-07-23 12:05:08	ga_s2am_ard_3-2-1_49JHM_2022-07-23_final
2022-10-08 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-10-08_final.stac-item
2022-10-28 11:56:11	ga_s2am_ard_3-2-1_50JMM_2022-10-28_final.stac-item
2022-11-14 11:47:24	ga_s2am_ard_3-2-1_50HNG_2022-11-14_final.stac-item
2022-12-10 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-12-10_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final.stac-item
2023-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2023-02-12_final.stac-item
2023-04-09 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-04-09_final.stac-item
2023-04-13 11:46:30	ga_s2am_ard_3-2-1_50HQK_2023-04-13_final.stac-item
2023-04-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-04-29_final.stac-item
2023-05-09 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-05-09_final.stac-item
2023-07-09 11:37:31	ga_s2am_ard_3-2-1_50HNG_2023-07-09_final.stac-item
2023-07-15 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-15_final.stac-item
2023-07-18 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-07-18_final.stac-item
2023-09-27 11:36:36	ga_s2am_ard_3-2-1_50HQK_2023-09-27_final.stac-item
2023-11-09 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-11-09_final.stac-item
2023-12-09 11:46:07	ga_s2am_ard_3-2-1_50JMM_2023-12-09_final.stac-item
2023-12-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-19_final.stac-item
2024-01-31 11:56:00	ga_s2am_ard_3-2-1_50JMM_2024-01-31_final.stac-item
2024-01-31 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-31_final.stac-item
2024-02-07 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-02-07_final.stac-item
2024-02-23 12:04:45	ga_s2am_ard_3-2-1_50JKT_2024-02-23_final.stac-item
2024-02-27 11:46:40	ga_s2am_ard_3-2-1_50HMK_2024-02-27_final.stac-item
2024-03-24 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2024-03-24_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