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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLS_2015-12-17_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXF_2015-12-25_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLQ_2016-01-16_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLT_2016-01-26_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLT_2016-02-05_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JVH_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JWJ_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JWK_2016-02-06_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_50JQM_2016-08-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JMS_2016-12-11_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_50KKV_2016-12-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMS_2017-01-30_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_51JXF_2017-02-04_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_51JXG_2017-02-14_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNB_2017-02-19_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KMV_2017-04-10_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HQH_2017-04-14_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51JXG_2017-05-25_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JMS_2017-06-29_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_50KKU_2017-08-01_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_50KMA_2017-09-17_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_50KMV_2017-09-17_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JUL_2017-12-10_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KPF_2018-04-02_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50KPF_2018-07-21_final.stac-item
2018-12-19 11:26:27	ga_s2am_ard_3-2-1_51HXD_2018-12-19_final
2019-01-11 11:36:29	ga_s2am_ard_3-2-1_51HVD_2019-01-11_final
2019-01-17 11:52:33	ga_s2am_ard_3-2-1_50KPF_2019-01-17_final.stac-item
2019-01-25 11:15:59	ga_s2am_ard_3-2-1_51JXF_2019-01-25_final
2019-01-28 11:25:28	ga_s2am_ard_3-2-1_51JVJ_2019-01-28_final
2019-01-28 11:26:02	ga_s2am_ard_3-2-1_51JUG_2019-01-28_final
2019-01-30 12:04:45	ga_s2am_ard_3-2-1_50JMS_2019-01-30_final
2019-02-16 11:54:20	ga_s2am_ard_3-2-1_50JQT_2019-02-16_final
2019-02-16 11:55:12	ga_s2am_ard_3-2-1_50JPQ_2019-02-16_final
2019-03-11 12:03:39	ga_s2am_ard_3-2-1_50KNA_2019-03-11_final
2019-03-18 11:54:20	ga_s2am_ard_3-2-1_50JQT_2019-03-18_final
2019-03-26 11:15:56	ga_s2am_ard_3-2-1_51JXG_2019-03-26_final
2019-04-15 11:15:59	ga_s2am_ard_3-2-1_51JXG_2019-04-15_final
2019-04-27 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-04-27_final.stac-item
2019-08-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-02 11:44:55	ga_s2am_ard_3-2-1_51JUL_2019-08-02_final
2019-09-14 11:52:36	ga_s2am_ard_3-2-1_50KPF_2019-09-14_final.stac-item
2019-11-27 11:36:33	ga_s2am_ard_3-2-1_51HVD_2019-11-27_final
2019-12-03 11:52:36	ga_s2am_ard_3-2-1_50KPF_2019-12-03_final.stac-item
2019-12-10 11:44:46	ga_s2am_ard_3-2-1_51JTL_2019-12-10_final
2019-12-16 12:04:30	ga_s2am_ard_3-2-1_50JMT_2019-12-16_final
2020-01-20 11:15:51	ga_s2am_ard_3-2-1_51JXG_2020-01-20_final
2020-04-21 11:52:38	ga_s2am_ard_3-2-1_50KPF_2020-04-21_final.stac-item
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-07-26_final.stac-item
2020-08-29 11:53:49	ga_s2am_ard_3-2-1_50KPA_2020-08-29_final
2020-09-18 11:54:28	ga_s2am_ard_3-2-1_50JQT_2020-09-18_final
2020-09-19 11:25:57	ga_s2am_ard_3-2-1_51JXG_2020-09-19_final
2020-10-05 11:45:27	ga_s2am_ard_3-2-1_50JPQ_2020-10-05_final
2021-08-28 11:36:04	ga_s2am_ard_3-2-1_51JTG_2021-08-28_final
2021-10-26 12:05:03	ga_s2am_ard_3-2-1_50JMR_2021-10-26_final
2021-11-03 11:25:57	ga_s2am_ard_3-2-1_51JXG_2021-11-03_final
2021-11-16 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-11-16_final.stac-item
2021-11-29 11:45:57	ga_s2am_ard_3-2-1_51JTG_2021-11-29_final
2021-12-19 11:45:57	ga_s2am_ard_3-2-1_51JTG_2021-12-19_final
2022-01-09 11:16:21	ga_s2am_ard_3-2-1_51JWF_2022-01-09_final
2022-01-29 11:15:57	ga_s2am_ard_3-2-1_51JXG_2022-01-29_final
2022-02-20 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-02-20_final.stac-item
2022-03-09 11:46:01	ga_s2am_ard_3-2-1_51JTG_2022-03-09_final
2022-03-13 11:25:57	ga_s2am_ard_3-2-1_51JXG_2022-03-13_final
2022-04-14 12:05:01	ga_s2am_ard_3-2-1_50JMR_2022-04-14_final
2022-05-18 11:46:02	ga_s2am_ard_3-2-1_51JTG_2022-05-18_final
2022-08-07 11:16:37	ga_s2am_ard_3-2-1_51HXE_2022-08-07_final
2022-08-10 11:26:05	ga_s2am_ard_3-2-1_51JXG_2022-08-10_final
2022-08-10 11:26:19	ga_s2am_ard_3-2-1_51JXF_2022-08-10_final
2022-08-12 12:05:11	ga_s2am_ard_3-2-1_50JMR_2022-08-12_final
2022-08-20 11:26:20	ga_s2am_ard_3-2-1_51JXF_2022-08-20_final
2023-01-03 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-01-03_final.stac-item
2023-01-06 11:55:25	ga_s2am_ard_3-2-1_50JPP_2023-01-06_final.stac-item
2023-01-07 11:26:21	ga_s2am_ard_3-2-1_51HXE_2023-01-07_final.stac-item
2023-02-15 11:55:23	ga_s2am_ard_3-2-1_50JPP_2023-02-15_final.stac-item
2023-03-04 11:45:53	ga_s2am_ard_3-2-1_51JTG_2023-03-04_final.stac-item
2023-03-07 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-03-07_final.stac-item
2023-03-14 11:45:54	ga_s2am_ard_3-2-1_51JTG_2023-03-14_final.stac-item
2023-04-07 11:27:07	ga_s2am_ard_3-2-1_51HTC_2023-04-07_final.stac-item
2023-04-24 11:16:33	ga_s2am_ard_3-2-1_51HXE_2023-04-24_final.stac-item
2023-05-27 11:26:10	ga_s2am_ard_3-2-1_51JUG_2023-05-27_final.stac-item
2023-07-03 11:16:02	ga_s2am_ard_3-2-1_51JXG_2023-07-03_final.stac-item
2023-07-13 11:16:02	ga_s2am_ard_3-2-1_51JXG_2023-07-13_final.stac-item
2023-07-23 11:16:02	ga_s2am_ard_3-2-1_51JXG_2023-07-23_final.stac-item
2023-08-15 11:26:41	ga_s2am_ard_3-2-1_51HXD_2023-08-15_final.stac-item
2023-08-22 11:16:26	ga_s2am_ard_3-2-1_51JWF_2023-08-22_final.stac-item
2023-08-25 11:26:28	ga_s2am_ard_3-2-1_51HXE_2023-08-25_final.stac-item
2023-11-19 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-11-19_final.stac-item
2023-11-30 11:15:49	ga_s2am_ard_3-2-1_51JXG_2023-11-30_final.stac-item
2023-12-05 12:04:29	ga_s2am_ard_3-2-1_50JMT_2023-12-05_final.stac-item
2023-12-12 11:55:11	ga_s2am_ard_3-2-1_50JPQ_2023-12-12_final.stac-item
2023-12-19 11:44:47	ga_s2am_ard_3-2-1_51JUL_2023-12-19_final.stac-item
2024-02-07 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-02-07_final.stac-item
2024-02-10 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-02-10_final.stac-item
2024-03-28 11:46:08	ga_s2am_ard_3-2-1_51JTF_2024-03-28_final.stac-item
2024-03-29 11:16:20	ga_s2am_ard_3-2-1_51JWF_2024-03-29_final.stac-item
2024-04-01 11:26:21	ga_s2am_ard_3-2-1_51HXE_2024-04-01_final.stac-item
2024-04-17 11:46:00	ga_s2am_ard_3-2-1_51JTG_2024-04-17_final.stac-item
2024-04-27 11:46:10	ga_s2am_ard_3-2-1_51JTF_2024-04-27_final.stac-item
2024-05-07 11:45:59	ga_s2am_ard_3-2-1_51JTG_2024-05-07_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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