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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKA_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHQ_2016-01-09_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPS_2016-02-02_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-08_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHR_2016-03-09_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQV_2016-04-02_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HQJ_2016-04-19_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JLR_2016-05-05_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPJ_2016-05-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKA_2016-05-18_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HMG_2016-07-21_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50JRT_2016-11-05_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50JRT_2016-11-12_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HNG_2016-11-22_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KQA_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KMA_2017-01-07_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KQV_2017-01-07_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KQV_2017-02-13_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMT_2017-04-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JNM_2017-05-27_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMJ_2017-07-03_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JPS_2017-08-12_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JRT_2017-08-12_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50KKB_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KQU_2017-12-30_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQG_2018-01-26_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KQA_2018-02-08_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KMC_2018-02-11_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KQV_2018-02-11_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNG_2018-03-10_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HNK_2018-03-13_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNK_2018-04-09_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMG_2018-06-28_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQC_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQU_2018-08-10_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JQM_2018-08-17_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKP_2018-09-09_final
2018-11-08 11:53:38	ga_s2am_ard_3-2-1_50KMB_2018-11-08_final
2018-12-02 11:34:28	ga_s2am_ard_3-2-1_50JRT_2018-12-02_final
2018-12-21 12:03:29	ga_s2am_ard_3-2-1_50KMB_2018-12-21_final
2018-12-21 12:03:43	ga_s2am_ard_3-2-1_50KMA_2018-12-21_final
2018-12-25 11:43:14	ga_s2am_ard_3-2-1_50KQC_2018-12-25_final
2018-12-28 11:53:36	ga_s2am_ard_3-2-1_50KMB_2018-12-28_final
2019-01-07 11:53:37	ga_s2am_ard_3-2-1_50KMB_2019-01-07_final
2019-01-07 11:53:55	ga_s2am_ard_3-2-1_50KQV_2019-01-07_final
2019-02-20 11:34:33	ga_s2am_ard_3-2-1_50JRT_2019-02-20_final
2019-03-05 11:44:00	ga_s2am_ard_3-2-1_50KQV_2019-03-05_final
2019-03-08 11:56:20	ga_s2am_ard_3-2-1_50JLL_2019-03-08_final
2019-11-10 11:44:33	ga_s2am_ard_3-2-1_50JRT_2019-11-10_final
2019-12-20 11:44:39	ga_s2am_ard_3-2-1_50JPS_2019-12-20_final
2019-12-23 11:53:37	ga_s2am_ard_3-2-1_50KMB_2019-12-23_final
2019-12-30 11:44:00	ga_s2am_ard_3-2-1_50KQV_2019-12-30_final
2019-12-30 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-12-30_final
2020-02-11 11:53:53	ga_s2am_ard_3-2-1_50KQV_2020-02-11_final
2020-03-02 11:53:52	ga_s2am_ard_3-2-1_50KMA_2020-03-02_final
2020-03-09 11:44:27	ga_s2am_ard_3-2-1_50JRT_2020-03-09_final
2020-08-23 11:34:55	ga_s2am_ard_3-2-1_50JRS_2020-08-23_final
2020-08-25 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-08-25_final.stac-item
2020-11-04 11:43:56	ga_s2am_ard_3-2-1_50KQA_2020-11-04_final
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final
2020-11-21 11:34:51	ga_s2am_ard_3-2-1_50JRS_2020-11-21_final
2020-12-14 11:43:33	ga_s2am_ard_3-2-1_50KQB_2020-12-14_final
2020-12-24 11:44:37	ga_s2am_ard_3-2-1_50JPT_2020-12-24_final
2020-12-27 11:54:08	ga_s2am_ard_3-2-1_50KNV_2020-12-27_final
2021-01-03 11:44:38	ga_s2am_ard_3-2-1_50JPT_2021-01-03_final
2021-02-05 11:53:31	ga_s2am_ard_3-2-1_50KQB_2021-02-05_final
2021-02-09 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-02-09_final.stac-item
2021-02-09 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-02-09_final.stac-item
2021-02-19 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-02-19_final.stac-item
2021-03-04 11:43:47	ga_s2am_ard_3-2-1_50KRA_2021-03-04_final
2021-03-04 11:45:07	ga_s2am_ard_3-2-1_50JPR_2021-03-04_final
2021-03-14 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-03-14_final.stac-item
2021-03-17 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-03-17_final.stac-item
2021-05-23 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-05-23_final
2021-06-28 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-06-28_final
2021-07-02 11:44:12	ga_s2am_ard_3-2-1_50KPV_2021-07-02_final
2021-08-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-17_final
2021-08-21 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-21_final.stac-item
2021-11-02 11:53:43	ga_s2am_ard_3-2-1_50KNB_2021-11-02_final
2021-12-09 11:47:19	ga_s2am_ard_3-2-1_50HNG_2021-12-09_final.stac-item
2021-12-22 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-12-22_final.stac-item
2021-12-29 11:44:32	ga_s2am_ard_3-2-1_50JRT_2021-12-29_final
2022-01-08 11:47:26	ga_s2am_ard_3-2-1_50HMG_2022-01-08_final.stac-item
2022-05-21 11:56:32	ga_s2am_ard_3-2-1_50JLL_2022-05-21_final
2022-07-20 11:52:46	ga_s2am_ard_3-2-1_50KQF_2022-07-20_final.stac-item
2022-09-12 11:34:59	ga_s2am_ard_3-2-1_50JRS_2022-09-12_final.stac-item
2022-11-03 12:13:58	ga_s2am_ard_3-2-1_50KKA_2022-11-03_final.stac-item
2022-11-14 11:43:54	ga_s2am_ard_3-2-1_50KQA_2022-11-14_final.stac-item
2022-11-14 11:44:33	ga_s2am_ard_3-2-1_50JRT_2022-11-14_final.stac-item
2022-12-01 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-12-01_final.stac-item
2023-01-03 11:46:18	ga_s2am_ard_3-2-1_50JPL_2023-01-03_final.stac-item
2023-01-23 11:44:27	ga_s2am_ard_3-2-1_50JRT_2023-01-23_final.stac-item
2023-02-08 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-02-08_final.stac-item
2023-02-12 11:46:15	ga_s2am_ard_3-2-1_50JML_2023-02-12_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-04-19_final.stac-item
2023-06-15 11:56:15	ga_s2am_ard_3-2-1_50JLM_2023-06-15_final.stac-item
2023-09-17 11:34:40	ga_s2am_ard_3-2-1_50JRT_2023-09-17_final.stac-item
2023-11-19 11:44:28	ga_s2am_ard_3-2-1_50JRT_2023-11-19_final.stac-item
2024-04-20 11:52:41	ga_s2am_ard_3-2-1_50KPF_2024-04-20_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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