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_50HNJ_2015-10-22_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQH_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQK_2016-06-05_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JKM_2016-09-29_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMH_2016-11-28_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2016-12-18_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMJ_2017-02-16_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMH_2017-02-26_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2017-04-23_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-27_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-06-09_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGM_2017-09-17_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGP_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-10-07_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HMJ_2017-11-13_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLH_2017-12-03_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQH_2018-01-06_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HLG_2018-01-19_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLH_2018-02-01_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLG_2018-02-08_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-03-09_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-03-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKR_2018-06-14_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPK_2018-06-15_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGN_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHM_2018-06-24_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKP_2018-07-01_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQJ_2018-07-05_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JKN_2018-07-31_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQJ_2018-08-17_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQK_2018-08-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-08-23_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLK_2018-10-09_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-10-16_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPJ_2018-11-05_final
2018-11-11 12:05:36	ga_s2am_ard_3-2-1_50JKP_2018-11-11_final
2018-11-15 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2018-11-15_final
2018-12-22 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-22_final.stac-item
2019-01-27 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-01-27_final
2019-02-16 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-02-16_final
2019-04-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-04-24_final.stac-item
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-06-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-06-30_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final
2020-01-06 11:37:12	ga_s2am_ard_3-2-1_50HQG_2020-01-06_final.stac-item
2020-08-25 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-08-25_final.stac-item
2020-11-27 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2020-11-27_final
2020-12-04 11:46:23	ga_s2am_ard_3-2-1_50HPK_2020-12-04_final
2020-12-17 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-17_final
2021-01-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-06_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-03-30 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2021-03-30_final
2021-04-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-04-02_final
2021-04-03 11:46:37	ga_s2am_ard_3-2-1_50HMK_2021-04-03_final
2021-04-06 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-06_final
2021-04-06 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-04-13 11:46:24	ga_s2am_ard_3-2-1_50HQK_2021-04-13_final
2021-04-16 11:57:17	ga_s2am_ard_3-2-1_50HLG_2021-04-16_final.stac-item
2021-05-09 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-05-09_final
2021-07-01 12:15:08	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final
2021-08-01 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-08-01_final.stac-item
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-08-17 12:05:13	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final
2021-08-17 12:05:19	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final
2021-09-06 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-09-06_final
2021-10-13 11:56:35	ga_s2am_ard_3-2-1_50HNK_2021-10-13_final
2021-11-06 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-11-06_final
2021-11-12 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-11-12_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-04-25 11:37:22	ga_s2am_ard_3-2-1_50HQG_2022-04-25_final.stac-item
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final
2022-07-30 11:57:05	ga_s2am_ard_3-2-1_50HMJ_2022-07-30_final
2022-08-06 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-08-06_final
2022-08-06 11:47:32	ga_s2am_ard_3-2-1_50HNG_2022-08-06_final.stac-item
2022-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-11-10_final.stac-item
2023-03-01 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-03-01_final.stac-item
2023-04-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-03_final.stac-item
2023-04-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-04-06_final.stac-item
2023-04-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-13_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-06-01 12:14:45	ga_s2am_ard_3-2-1_49JGN_2023-06-01_final.stac-item
2023-09-06 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-09-06_final.stac-item
2024-02-27 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-02-27_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