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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JZM_2015-12-25_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KMA_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHQ_2015-12-30_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JZN_2016-01-24_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGQ_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHQ_2016-03-09_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUQ_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMG_2016-04-02_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JYL_2016-04-23_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JYL_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KUS_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKN_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVE_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHS_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQN_2016-05-29_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKM_2016-07-21_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51JUF_2016-08-31_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-11_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KUP_2016-11-12_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KUP_2016-11-15_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQG_2017-01-01_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KUR_2017-02-10_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPG_2017-03-12_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51KUQ_2017-03-12_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KUR_2018-02-08_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KUP_2018-02-15_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KUP_2018-03-07_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KUR_2018-03-07_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KUS_2018-03-07_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNG_2018-03-20_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KTU_2018-06-28_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HLH_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPG_2018-07-08_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNG_2018-08-17_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUP_2018-11-05_final
2018-11-08 11:53:49	ga_s2am_ard_3-2-1_50KNA_2018-11-08_final
2018-12-18 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-12-18_final.stac-item
2019-01-05 11:15:05	ga_s2am_ard_3-2-1_51JYK_2019-01-05_final
2019-02-13 11:47:14	ga_s2am_ard_3-2-1_50HPG_2019-02-13_final.stac-item
2019-03-02 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-03-02_final
2019-03-05 11:43:09	ga_s2am_ard_3-2-1_51KUT_2019-03-05_final
2019-07-03 11:43:09	ga_s2am_ard_3-2-1_50KRD_2019-07-03_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-10-28 11:34:21	ga_s2am_ard_3-2-1_51KUP_2019-10-28_final
2019-11-17 11:37:19	ga_s2am_ard_3-2-1_50HQG_2019-11-17_final.stac-item
2019-12-20 11:42:57	ga_s2am_ard_3-2-1_51KTU_2019-12-20_final
2019-12-20 11:43:41	ga_s2am_ard_3-2-1_50KRA_2019-12-20_final
2020-01-09 11:47:15	ga_s2am_ard_3-2-1_50HNG_2020-01-09_final.stac-item
2020-07-03 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-03_final.stac-item
2020-11-04 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2020-11-04_final
2020-11-21 11:34:31	ga_s2am_ard_3-2-1_51JVN_2020-11-21_final
2020-11-24 11:43:31	ga_s2am_ard_3-2-1_51KUS_2020-11-24_final
2020-11-24 11:44:25	ga_s2am_ard_3-2-1_50KPU_2020-11-24_final
2020-11-25 11:15:26	ga_s2am_ard_3-2-1_51JYJ_2020-11-25_final
2020-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-11-30_final.stac-item
2020-12-18 11:24:42	ga_s2am_ard_3-2-1_51JWM_2020-12-18_final
2020-12-24 11:43:02	ga_s2am_ard_3-2-1_51KTU_2020-12-24_final
2020-12-24 11:43:50	ga_s2am_ard_3-2-1_50KQA_2020-12-24_final
2021-01-04 11:14:38	ga_s2am_ard_3-2-1_51JZM_2021-01-04_final
2021-03-04 11:44:10	ga_s2am_ard_3-2-1_50KPV_2021-03-04_final
2021-03-11 11:33:48	ga_s2am_ard_3-2-1_51KUR_2021-03-11_final
2021-06-03 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-06-03_final.stac-item
2021-07-02 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-07-02_final.stac-item
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final.stac-item
2021-10-27 11:33:27	ga_s2am_ard_3-2-1_51KUT_2021-10-27_final
2021-10-30 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-30_final
2021-11-23 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-11-23_final
2021-12-09 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2021-12-09_final
2021-12-23 11:25:07	ga_s2am_ard_3-2-1_51JYK_2021-12-23_final
2022-01-05 11:37:28	ga_s2am_ard_3-2-1_50HNG_2022-01-05_final.stac-item
2022-01-15 11:34:33	ga_s2am_ard_3-2-1_51JUN_2022-01-15_final
2022-01-22 11:27:07	ga_s2am_ard_3-2-1_51HTC_2022-01-22_final
2022-02-04 11:34:37	ga_s2am_ard_3-2-1_50JRT_2022-02-04_final
2022-03-06 11:34:40	ga_s2am_ard_3-2-1_50JRT_2022-03-06_final
2022-03-16 11:34:41	ga_s2am_ard_3-2-1_50JRT_2022-03-16_final
2022-05-25 11:37:28	ga_s2am_ard_3-2-1_50HPG_2022-05-25_final.stac-item
2022-10-15 11:44:17	ga_s2am_ard_3-2-1_51KUP_2022-10-15_final.stac-item
2022-11-14 11:44:30	ga_s2am_ard_3-2-1_51JUN_2022-11-14_final.stac-item
2022-11-15 11:15:13	ga_s2am_ard_3-2-1_51JYK_2022-11-15_final.stac-item
2022-11-24 11:44:27	ga_s2am_ard_3-2-1_51JUN_2022-11-24_final.stac-item
2022-12-04 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-12-04_final.stac-item
2022-12-18 11:24:18	ga_s2am_ard_3-2-1_51JZN_2022-12-18_final.stac-item
2023-01-13 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-01-13_final.stac-item
2023-02-02 11:44:11	ga_s2am_ard_3-2-1_51KUP_2023-02-02_final.stac-item
2023-02-19 11:33:19	ga_s2am_ard_3-2-1_51KUT_2023-02-19_final.stac-item
2023-03-11 11:33:58	ga_s2am_ard_3-2-1_51KUQ_2023-03-11_final.stac-item
2023-10-27 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-10-27_final.stac-item
2023-11-16 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-11-16_final.stac-item
2023-11-23 11:24:14	ga_s2am_ard_3-2-1_51JZN_2023-11-23_final.stac-item
2023-11-23 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2023-11-23_final.stac-item
2023-12-06 11:34:19	ga_s2am_ard_3-2-1_51JWN_2023-12-06_final.stac-item
2023-12-23 11:24:15	ga_s2am_ard_3-2-1_51JZN_2023-12-23_final.stac-item
2024-01-22 11:26:47	ga_s2am_ard_3-2-1_51HWC_2024-01-22_final.stac-item
2024-01-25 11:34:19	ga_s2am_ard_3-2-1_51JWN_2024-01-25_final.stac-item
2024-02-04 11:33:30	ga_s2am_ard_3-2-1_51KUS_2024-02-04_final.stac-item
2024-02-07 11:43:25	ga_s2am_ard_3-2-1_51KUS_2024-02-07_final.stac-item
2024-02-11 11:26:51	ga_s2am_ard_3-2-1_51HWC_2024-02-11_final.stac-item
2024-02-24 11:34:16	ga_s2am_ard_3-2-1_51KUP_2024-02-24_final.stac-item
2024-02-27 11:43:14	ga_s2am_ard_3-2-1_51KUT_2024-02-27_final.stac-item
2024-03-18 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2024-03-18_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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