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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JPQ_2015-11-14_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JML_2015-12-24_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JNQ_2016-02-02_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_50KKV_2016-11-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JPP_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JNP_2016-11-28_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KPF_2016-11-28_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HQH_2016-12-15_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_51HXE_2017-02-04_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HXE_2017-02-17_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JPP_2017-08-05_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_51HVD_2018-01-26_final
2018-02-21 11:50:43	ga_s2am_ard_3-2-1_50KPF_2018-02-21_final.stac-item
2018-03-13 11:46:58	ga_s2am_ard_3-2-1_50KPF_2018-03-13_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KPF_2018-10-19_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KQF_2018-10-19_final.stac-item
2018-12-14 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-14_final
2019-01-21 11:34:45	ga_s2am_ard_3-2-1_50JRS_2019-01-21_final
2019-01-27 11:55:12	ga_s2am_ard_3-2-1_50JPQ_2019-01-27_final
2019-02-13 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-02-13_final
2019-02-16 11:55:23	ga_s2am_ard_3-2-1_50JPP_2019-02-16_final
2019-02-19 12:04:45	ga_s2am_ard_3-2-1_50JMS_2019-02-19_final
2019-02-20 11:34:45	ga_s2am_ard_3-2-1_50JRS_2019-02-20_final
2019-02-23 11:45:17	ga_s2am_ard_3-2-1_50JPQ_2019-02-23_final
2019-02-26 11:55:08	ga_s2am_ard_3-2-1_50JLR_2019-02-26_final
2019-03-18 11:53:53	ga_s2am_ard_3-2-1_50KMA_2019-03-18_final
2019-04-27 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-04-27_final.stac-item
2019-05-18 11:26:26	ga_s2am_ard_3-2-1_51HXE_2019-05-18_final
2019-06-06 11:52:36	ga_s2am_ard_3-2-1_50KQF_2019-06-06_final.stac-item
2019-06-16 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-06-16_final.stac-item
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-08-01_final.stac-item
2019-10-04 11:52:39	ga_s2am_ard_3-2-1_50KPF_2019-10-04_final.stac-item
2019-12-16 12:05:03	ga_s2am_ard_3-2-1_50JLR_2019-12-16_final
2020-03-22 11:52:34	ga_s2am_ard_3-2-1_50KPF_2020-03-22_final.stac-item
2020-06-20 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-06-20_final.stac-item
2020-07-23 12:03:49	ga_s2am_ard_3-2-1_50KNA_2020-07-23_final
2020-08-02 12:03:47	ga_s2am_ard_3-2-1_50KNB_2020-08-02_final
2020-08-09 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-08-09_final.stac-item
2020-08-29 11:55:31	ga_s2am_ard_3-2-1_50JPP_2020-08-29_final
2020-09-18 11:54:38	ga_s2am_ard_3-2-1_50JPT_2020-09-18_final
2020-09-19 11:27:12	ga_s2am_ard_3-2-1_51HTC_2020-09-19_final
2020-09-25 11:45:26	ga_s2am_ard_3-2-1_50JPQ_2020-09-25_final
2020-09-28 11:53:50	ga_s2am_ard_3-2-1_50KPA_2020-09-28_final
2020-10-08 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-10-08_final.stac-item
2021-02-15 11:52:36	ga_s2am_ard_3-2-1_50KPF_2021-02-15_final.stac-item
2021-04-06 11:52:16	ga_s2am_ard_3-2-1_50KQG_2021-04-06_final.stac-item
2021-11-29 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-11-29_final
2021-12-16 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-16_final.stac-item
2022-01-31 11:55:26	ga_s2am_ard_3-2-1_50JPP_2022-01-31_final
2022-02-18 11:16:27	ga_s2am_ard_3-2-1_51HXE_2022-02-18_final
2022-03-05 12:05:07	ga_s2am_ard_3-2-1_50JLR_2022-03-05_final
2022-03-06 11:36:35	ga_s2am_ard_3-2-1_51HVE_2022-03-06_final
2022-03-09 11:46:57	ga_s2am_ard_3-2-1_50HQH_2022-03-09_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-04-14 12:05:06	ga_s2am_ard_3-2-1_50JLR_2022-04-14_final
2022-04-19 11:16:30	ga_s2am_ard_3-2-1_51HXE_2022-04-19_final
2022-04-19 11:16:34	ga_s2am_ard_3-2-1_51HWE_2022-04-19_final
2022-05-04 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-05-04_final
2022-05-18 11:45:43	ga_s2am_ard_3-2-1_50JQN_2022-05-18_final
2022-06-08 11:16:52	ga_s2am_ard_3-2-1_51HWD_2022-06-08_final
2022-06-21 11:26:34	ga_s2am_ard_3-2-1_51HXE_2022-06-21_final
2022-07-11 11:26:35	ga_s2am_ard_3-2-1_51HXE_2022-07-11_final
2022-08-30 11:26:34	ga_s2am_ard_3-2-1_51HXE_2022-08-30_final
2022-11-27 11:54:23	ga_s2am_ard_3-2-1_50JQT_2022-11-27_final.stac-item
2022-11-27 11:55:26	ga_s2am_ard_3-2-1_50JPP_2022-11-27_final.stac-item
2022-12-01 11:36:34	ga_s2am_ard_3-2-1_51HVD_2022-12-01_final.stac-item
2022-12-07 11:52:38	ga_s2am_ard_3-2-1_50KPF_2022-12-07_final.stac-item
2022-12-27 11:55:33	ga_s2am_ard_3-2-1_50JNP_2022-12-27_final.stac-item
2023-02-15 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-02-15_final.stac-item
2023-03-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-03-10_final.stac-item
2023-04-19 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-04-19_final.stac-item
2023-04-24 11:16:34	ga_s2am_ard_3-2-1_51HWE_2023-04-24_final.stac-item
2023-05-03 11:45:27	ga_s2am_ard_3-2-1_50JPQ_2023-05-03_final.stac-item
2023-05-17 11:26:37	ga_s2am_ard_3-2-1_51HXD_2023-05-17_final.stac-item
2023-06-06 11:26:26	ga_s2am_ard_3-2-1_51HXE_2023-06-06_final.stac-item
2023-06-13 11:16:48	ga_s2am_ard_3-2-1_51HWD_2023-06-13_final.stac-item
2023-07-13 11:16:46	ga_s2am_ard_3-2-1_51HWD_2023-07-13_final.stac-item
2023-07-16 11:26:27	ga_s2am_ard_3-2-1_51HXE_2023-07-16_final.stac-item
2023-07-16 11:26:41	ga_s2am_ard_3-2-1_51HXD_2023-07-16_final.stac-item
2023-07-23 11:16:30	ga_s2am_ard_3-2-1_51HXE_2023-07-23_final.stac-item
2023-08-14 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-08-14_final.stac-item
2023-08-14 11:55:31	ga_s2am_ard_3-2-1_50JPP_2023-08-14_final.stac-item
2023-08-15 11:26:28	ga_s2am_ard_3-2-1_51HXE_2023-08-15_final.stac-item
2023-08-24 11:55:41	ga_s2am_ard_3-2-1_50JNP_2023-08-24_final.stac-item
2023-08-28 11:36:11	ga_s2am_ard_3-2-1_50JQM_2023-08-28_final.stac-item
2023-10-21 11:16:30	ga_s2am_ard_3-2-1_51HWE_2023-10-21_final.stac-item
2023-11-20 11:16:29	ga_s2am_ard_3-2-1_51HWE_2023-11-20_final.stac-item
2023-12-25 12:04:55	ga_s2am_ard_3-2-1_50JMR_2023-12-25_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item
2024-01-21 11:55:27	ga_s2am_ard_3-2-1_50JNP_2024-01-21_final.stac-item
2024-02-10 11:55:13	ga_s2am_ard_3-2-1_50JLR_2024-02-10_final.stac-item
2024-02-20 11:55:24	ga_s2am_ard_3-2-1_50JPP_2024-02-20_final.stac-item
2024-02-21 11:26:20	ga_s2am_ard_3-2-1_51HXE_2024-02-21_final.stac-item
2024-03-31 11:55:25	ga_s2am_ard_3-2-1_50JPP_2024-03-31_final.stac-item
2024-04-03 12:04:33	ga_s2am_ard_3-2-1_50JMT_2024-04-03_final.stac-item
2024-04-07 11:45:59	ga_s2am_ard_3-2-1_50JQM_2024-04-07_final.stac-item
2024-04-13 12:05:10	ga_s2am_ard_3-2-1_49JFM_2024-04-13_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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