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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51JUF_2015-08-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51JTG_2015-12-21_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51HXE_2016-01-14_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGL_2016-01-19_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HUC_2016-02-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMR_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQJ_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2016-04-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQJ_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQK_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JUM_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JUN_2016-05-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQG_2016-06-05_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKT_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMR_2016-09-02_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KNB_2016-12-11_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JFM_2016-12-24_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHP_2017-02-19_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KMC_2017-03-31_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-04-03_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JUG_2017-06-27_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50KRD_2017-10-11_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQA_2018-02-18_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50KRB_2018-07-18_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMQ_2018-08-30_final
2019-03-11 12:03:15	ga_s2am_ard_3-2-1_50KNC_2019-03-11_final
2019-04-03 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-04-03_final
2019-04-03 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-04-03_final
2019-04-27 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-04-27_final
2019-06-09 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-06-09_final
2019-07-26 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-26_final.stac-item
2019-08-01 12:14:12	ga_s2am_ard_3-2-1_50KKV_2019-08-01_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_50KKU_2019-08-01_final
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-09-04 11:56:14	ga_s2am_ard_3-2-1_50JKM_2019-09-04_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_50KNA_2019-11-26_final
2020-04-28 11:43:06	ga_s2am_ard_3-2-1_50KRD_2020-04-28_final
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final
2020-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-20 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-20_final
2020-06-30 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-06-30_final.stac-item
2020-07-14 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-07-14_final
2020-07-17 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-17_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-09-25 11:43:09	ga_s2am_ard_3-2-1_50KRD_2020-09-25_final
2020-10-04 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-11-04 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-11-04_final.stac-item
2020-11-17 11:56:25	ga_s2am_ard_3-2-1_50JML_2020-11-17_final
2020-12-14 11:47:18	ga_s2am_ard_3-2-1_50HNG_2020-12-14_final.stac-item
2021-01-06 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-01-06_final
2021-04-06 11:52:30	ga_s2am_ard_3-2-1_50KQF_2021-04-06_final.stac-item
2021-05-07 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-05-07_final
2021-05-17 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-05-17_final
2021-09-29 12:13:58	ga_s2am_ard_3-2-1_50KKA_2021-09-29_final
2021-09-30 11:46:30	ga_s2am_ard_3-2-1_50JML_2021-09-30_final
2021-11-29 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-29_final
2021-12-26 11:36:59	ga_s2am_ard_3-2-1_51HUC_2021-12-26_final
2022-03-03 11:26:36	ga_s2am_ard_3-2-1_51HUE_2022-03-03_final
2022-03-16 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-16_final
2022-04-22 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-04-22_final
2022-05-05 11:37:02	ga_s2am_ard_3-2-1_51HUC_2022-05-05_final
2022-05-25 11:37:28	ga_s2am_ard_3-2-1_50HPG_2022-05-25_final.stac-item
2022-05-28 11:44:09	ga_s2am_ard_3-2-1_50KRV_2022-05-28_final
2022-06-03 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-06-03_final
2022-06-10 11:53:59	ga_s2am_ard_3-2-1_50KPA_2022-06-10_final
2022-06-23 12:06:07	ga_s2am_ard_3-2-1_50JKN_2022-06-23_final
2022-07-10 11:57:33	ga_s2am_ard_3-2-1_50HMG_2022-07-10_final.stac-item
2022-07-27 11:47:24	ga_s2am_ard_3-2-1_50HLH_2022-07-27_final
2022-08-02 12:04:42	ga_s2am_ard_3-2-1_50KKU_2022-08-02_final
2022-09-09 11:26:29	ga_s2am_ard_3-2-1_51JUF_2022-09-09_final.stac-item
2022-10-18 11:52:22	ga_s2am_ard_3-2-1_50KQG_2022-10-18_final.stac-item
2022-10-21 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-10-21_final.stac-item
2023-01-27 11:27:05	ga_s2am_ard_3-2-1_51HTC_2023-01-27_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-01-30_final.stac-item
2023-05-20 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final.stac-item
2023-06-22 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-22_final.stac-item
2023-07-12 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-07-12_final.stac-item
2023-07-16 11:26:05	ga_s2am_ard_3-2-1_51JVG_2023-07-16_final.stac-item
2023-08-11 11:47:11	ga_s2am_ard_3-2-1_50HNH_2023-08-11_final.stac-item
2023-08-24 11:56:46	ga_s2am_ard_3-2-1_50HLK_2023-08-24_final.stac-item
2023-09-06 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-09-06_final.stac-item
2023-10-03 11:53:12	ga_s2am_ard_3-2-1_50KRC_2023-10-03_final.stac-item
2023-11-12 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-11-12_final.stac-item
2023-11-16 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-11-16_final.stac-item
2023-11-23 11:27:03	ga_s2am_ard_3-2-1_51HTC_2023-11-23_final.stac-item
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final.stac-item
2024-02-27 11:44:48	ga_s2am_ard_3-2-1_51JUM_2024-02-27_final.stac-item
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-27_final.stac-item
2024-04-03 12:03:31	ga_s2am_ard_3-2-1_50KNB_2024-04-03_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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