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
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HMK_2015-10-05_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHR_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMR_2015-10-28_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMS_2015-11-27_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLN_2015-12-17_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGP_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGQ_2015-12-30_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLS_2016-01-06_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGQ_2016-01-09_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGQ_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLN_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLR_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
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGR_2016-03-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KMV_2016-03-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQA_2016-04-02_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQK_2016-05-09_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HLK_2016-05-12_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLM_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-06-14_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_50JQM_2016-08-14_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGR_2016-11-14_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KQF_2016-11-18_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-12-11_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLR_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KLC_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-12-14_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-12-14_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-12-14_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLS_2017-01-20_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLS_2017-01-30_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNB_2017-02-19_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_49KHQ_2017-03-01_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KMA_2017-03-01_final
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_49KHS_2017-03-14_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KKV_2017-04-10_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_50KKV_2017-09-30_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2017-11-19_final
2019-02-16 11:52:34	ga_s2am_ard_3-2-1_50KPF_2019-02-16_final.stac-item
2019-02-22 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-22_final
2019-02-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-02-22_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_50KNA_2019-03-21_final
2019-04-03 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-04-03_final
2019-07-29 12:03:38	ga_s2am_ard_3-2-1_50KNB_2019-07-29_final
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-08-01_final.stac-item
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-09-17 12:03:26	ga_s2am_ard_3-2-1_50KLC_2019-09-17_final
2019-10-14 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-10-14_final.stac-item
2019-10-14 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-10-14_final.stac-item
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2020-01-12 11:52:32	ga_s2am_ard_3-2-1_50KPF_2020-01-12_final.stac-item
2020-01-25 12:03:20	ga_s2am_ard_3-2-1_50KLC_2020-01-25_final
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-02-01 11:52:30	ga_s2am_ard_3-2-1_50KPF_2020-02-01_final.stac-item
2020-03-12 11:52:34	ga_s2am_ard_3-2-1_50KPF_2020-03-12_final.stac-item
2020-07-26 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-07-26_final
2020-08-02 12:03:47	ga_s2am_ard_3-2-1_50KNA_2020-08-02_final
2020-09-01 12:03:38	ga_s2am_ard_3-2-1_50KNB_2020-09-01_final
2020-09-01 12:03:57	ga_s2am_ard_3-2-1_50KMA_2020-09-01_final
2020-09-04 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-04_final
2020-09-15 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-09-15_final
2020-09-28 11:53:50	ga_s2am_ard_3-2-1_50KPA_2020-09-28_final
2020-10-01 12:03:39	ga_s2am_ard_3-2-1_50KNB_2020-10-01_final
2020-10-01 12:04:54	ga_s2am_ard_3-2-1_50JMS_2020-10-01_final
2020-10-04 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-04_final
2021-08-24 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-08-24_final
2021-08-24 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-08-24_final
2021-12-05 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-12-05_final
2021-12-22 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-12-22_final
2021-12-29 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-12-29_final
2022-01-14 12:06:05	ga_s2am_ard_3-2-1_50JLM_2022-01-14_final
2022-01-24 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-01-24_final
2022-06-30 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-06-30_final
2022-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2022-10-08_final.stac-item
2022-11-20 12:06:05	ga_s2am_ard_3-2-1_50JLM_2022-11-20_final.stac-item
2022-12-07 11:52:38	ga_s2am_ard_3-2-1_50KPF_2022-12-07_final.stac-item
2022-12-10 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-12-10_final.stac-item
2023-01-09 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-01-09_final.stac-item
2023-02-05 11:52:36	ga_s2am_ard_3-2-1_50KPF_2023-02-05_final.stac-item
2023-04-16 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-04-16_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-07-02 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-07-02_final.stac-item
2023-07-15 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-07-15_final.stac-item
2023-07-15 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-07-15_final.stac-item
2023-07-15 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-15_final.stac-item
2023-08-04 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-04_final.stac-item
2023-08-24 11:56:20	ga_s2am_ard_3-2-1_50JKM_2023-08-24_final.stac-item
2023-11-15 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-11-15_final.stac-item
2023-12-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-12-22_final.stac-item
2024-03-25 11:37:00	ga_s2am_ard_3-2-1_50HPJ_2024-03-25_final.stac-item
2024-03-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-27_final.stac-item
2024-03-27 12:14:46	ga_s2am_ard_3-2-1_49JFN_2024-03-27_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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