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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNJ_2015-11-21_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPG_2016-03-20_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLJ_2016-07-01_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-07-07_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKP_2016-09-12_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-10-25_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHR_2016-11-04_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGR_2016-11-14_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HQJ_2016-11-15_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2016-12-11_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JGL_2017-03-01_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HMK_2017-04-14_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JKR_2017-05-20_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMH_2017-06-06_final
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50JLL_2017-06-16_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKP_2017-08-18_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2018-01-28_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPH_2018-02-15_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JLL_2018-02-21_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-27_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HQK_2018-02-28_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHP_2018-03-16_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQJ_2018-04-26_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLJ_2018-07-11_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-07-17_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-09-02_final
2018-12-02 11:36:58	ga_s2am_ard_3-2-1_50HPH_2018-12-02_final
2018-12-11 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-11_final
2019-01-31 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2019-01-31_final
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-01_final
2019-03-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-11_final
2019-03-15 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2019-03-15_final
2019-03-31 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-03-31_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-06-02 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-06-02_final
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-10-07_final
2019-10-28 11:36:41	ga_s2am_ard_3-2-1_50HPK_2019-10-28_final
2019-11-10 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-11-10_final
2019-11-13 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-13_final
2019-11-13 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-11-13_final
2019-12-06 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-12-06_final
2019-12-10 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-12-10_final
2019-12-16 12:04:40	ga_s2am_ard_3-2-1_49JGN_2019-12-16_final
2020-01-15 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-15_final.stac-item
2020-01-19 11:46:45	ga_s2am_ard_3-2-1_50HNJ_2020-01-19_final
2020-01-19 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-01-19_final
2020-01-19 11:47:00	ga_s2am_ard_3-2-1_50HNH_2020-01-19_final
2020-01-29 11:46:59	ga_s2am_ard_3-2-1_50HNH_2020-01-29_final
2020-04-01 11:56:21	ga_s2am_ard_3-2-1_50JLL_2020-04-01_final
2020-04-14 12:05:14	ga_s2am_ard_3-2-1_49JGL_2020-04-14_final
2020-04-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2020-04-24_final.stac-item
2020-05-21 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-05-21_final
2020-09-12 11:37:21	ga_s2am_ard_3-2-1_50HQG_2020-09-12_final.stac-item
2020-10-18 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-10-18_final
2020-10-24 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-10-24_final
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final
2020-12-20 12:04:55	ga_s2am_ard_3-2-1_50JKS_2020-12-20_final
2021-01-19 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-19_final
2021-02-01 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-02-01_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-04-16 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2021-04-16_final
2021-06-15 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-15_final
2021-08-14 11:56:28	ga_s2am_ard_3-2-1_50JLL_2021-08-14_final
2021-10-23 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-23_final
2021-12-15 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-12-15_final
2021-12-16 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-12-16_final
2022-01-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-01-08_final
2022-02-07 11:47:16	ga_s2am_ard_3-2-1_50HPG_2022-02-07_final.stac-item
2022-03-09 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-03-09_final
2022-03-09 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-03-09_final
2022-05-01 11:56:45	ga_s2am_ard_3-2-1_50HLK_2022-05-01_final
2022-05-18 11:47:26	ga_s2am_ard_3-2-1_50HNG_2022-05-18_final.stac-item
2022-05-21 11:57:27	ga_s2am_ard_3-2-1_50HMG_2022-05-21_final.stac-item
2022-10-14 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-10-14_final.stac-item
2022-10-21 12:05:02	ga_s2am_ard_3-2-1_49JHM_2022-10-21_final.stac-item
2022-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2022-12-21_final.stac-item
2022-12-27 11:56:24	ga_s2am_ard_3-2-1_50JLL_2022-12-27_final.stac-item
2023-01-19 12:04:41	ga_s2am_ard_3-2-1_49JGN_2023-01-19_final.stac-item
2023-01-29 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-01-29_final.stac-item
2023-02-05 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-02-05_final.stac-item
2023-02-25 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-02-25_final.stac-item
2023-03-13 12:14:27	ga_s2am_ard_3-2-1_49KFP_2023-03-13_nrt.stac-item
2023-03-14 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-03-14_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-08-17 12:04:34	ga_s2am_ard_3-2-1_49KHP_2023-08-17_final.stac-item
2023-08-31 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-08-31_final.stac-item
2023-10-13 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-10-13_final.stac-item
2023-11-02 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-02_final.stac-item
2023-11-15 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-11-15_nrt.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-12-05_final.stac-item
2023-12-15 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2023-12-15_final.stac-item
2024-01-04 12:04:53	ga_s2am_ard_3-2-1_49JHM_2024-01-04_final.stac-item
2024-02-03 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2024-02-03_final.stac-item
2024-02-20 11:57:04	ga_s2am_ard_3-2-1_50HMH_2024-02-20_final.stac-item
2024-02-27 11:46:40	ga_s2am_ard_3-2-1_50HMK_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

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