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
2015-09-30 11:04:27	ga_s2am_ard_3-2-1_52JCN_2015-09-30_final.stac-item
2015-10-20 11:05:17	ga_s2am_ard_3-2-1_52JCN_2015-10-20_final.stac-item
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HQH_2015-10-22_final.stac-item
2015-12-04 11:57:46	ga_s2am_ard_3-2-1_50JQP_2015-12-04_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQL_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51JTJ_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HWD_2015-12-25_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2016-01-26_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2016-02-05_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLR_2016-02-15_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_50JLQ_2016-03-06_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_51JUG_2016-08-14_final.stac-item
2016-08-21 11:26:11	ga_s2am_ard_3-2-1_51HXE_2016-08-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JPQ_2016-11-28_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51JUL_2016-12-05_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51JXG_2016-12-06_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JXF_2016-12-09_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JUM_2016-12-15_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51JXG_2016-12-29_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCM_2017-01-25_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JXH_2017-02-27_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JYG_2017-04-08_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JXG_2017-05-18_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-11-19_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HVD_2017-12-17_final
2018-11-15 11:41:13	ga_s2am_ard_3-2-1_51LUF_2018-11-15_final
2019-01-22 11:05:05	ga_s2am_ard_3-2-1_52JCQ_2019-01-22_final
2019-01-28 11:25:35	ga_s2am_ard_3-2-1_51JXH_2019-01-28_final
2019-02-26 11:55:30	ga_s2am_ard_3-2-1_50JNP_2019-02-26_final
2019-02-27 11:25:26	ga_s2am_ard_3-2-1_51JVJ_2019-02-27_final
2019-04-17 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-04-17_final.stac-item
2019-04-18 11:25:48	ga_s2am_ard_3-2-1_51JYG_2019-04-18_final
2019-08-06 11:26:11	ga_s2am_ard_3-2-1_51JXF_2019-08-06_final
2019-08-15 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-08-15_final.stac-item
2019-09-04 11:52:34	ga_s2am_ard_3-2-1_50KQF_2019-09-04_final.stac-item
2019-10-19 11:06:01	ga_s2am_ard_3-2-1_52JCL_2019-10-19_final
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-12-04 11:25:51	ga_s2am_ard_3-2-1_51JXG_2019-12-04_final
2019-12-14 11:25:48	ga_s2am_ard_3-2-1_51JXG_2019-12-14_final
2020-02-17 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-02-17_final
2020-02-29 11:15:38	ga_s2am_ard_3-2-1_51JXH_2020-02-29_final
2020-04-11 11:52:36	ga_s2am_ard_3-2-1_50KPF_2020-04-11_final.stac-item
2020-07-20 11:53:51	ga_s2am_ard_3-2-1_50KPA_2020-07-20_final
2020-07-28 11:17:01	ga_s2am_ard_3-2-1_51HXC_2020-07-28_final.stac-item
2020-07-30 11:53:56	ga_s2am_ard_3-2-1_50KPA_2020-07-30_final
2020-07-30 11:54:09	ga_s2am_ard_3-2-1_50KMV_2020-07-30_final
2020-07-31 11:25:51	ga_s2am_ard_3-2-1_51JYG_2020-07-31_final
2020-08-02 12:03:50	ga_s2am_ard_3-2-1_50KNA_2020-08-02_final
2020-08-17 11:16:03	ga_s2am_ard_3-2-1_51JXG_2020-08-17_final
2020-08-20 11:25:51	ga_s2am_ard_3-2-1_51JYG_2020-08-20_final
2020-08-29 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-08-29_final.stac-item
2020-09-13 11:05:41	ga_s2am_ard_3-2-1_52JCN_2020-09-13_final
2020-09-19 11:26:27	ga_s2am_ard_3-2-1_51HXE_2020-09-19_final
2020-09-26 11:16:02	ga_s2am_ard_3-2-1_51JXG_2020-09-26_final
2020-10-05 11:44:57	ga_s2am_ard_3-2-1_51JUL_2020-10-05_final
2021-07-25 11:52:41	ga_s2am_ard_3-2-1_50KPF_2021-07-25_final.stac-item
2021-08-25 11:26:09	ga_s2am_ard_3-2-1_51JXF_2021-08-25_final
2021-08-28 11:36:01	ga_s2am_ard_3-2-1_51JUG_2021-08-28_final
2021-11-29 11:44:51	ga_s2am_ard_3-2-1_51JUL_2021-11-29_final
2022-03-20 11:16:23	ga_s2am_ard_3-2-1_51JWF_2022-03-20_final
2022-05-18 11:45:49	ga_s2am_ard_3-2-1_51JTH_2022-05-18_final
2022-07-08 11:16:10	ga_s2am_ard_3-2-1_51JXG_2022-07-08_final
2022-07-31 11:23:02	ga_s2am_ard_3-2-1_51KXU_2022-07-31_final
2022-08-07 11:16:42	ga_s2am_ard_3-2-1_51HWE_2022-08-07_final
2022-08-07 11:16:55	ga_s2am_ard_3-2-1_51HWD_2022-08-07_final
2022-08-10 11:25:57	ga_s2am_ard_3-2-1_51JYG_2022-08-10_final
2022-08-20 11:25:57	ga_s2am_ard_3-2-1_51JYG_2022-08-20_final
2022-10-21 12:04:59	ga_s2am_ard_3-2-1_50JMR_2022-10-21_final.stac-item
2022-11-05 11:16:24	ga_s2am_ard_3-2-1_51JWF_2022-11-05_final.stac-item
2022-12-02 11:05:46	ga_s2am_ard_3-2-1_52JCM_2022-12-02_final.stac-item
2022-12-28 11:25:51	ga_s2am_ard_3-2-1_51JXG_2022-12-28_final.stac-item
2023-01-24 11:15:54	ga_s2am_ard_3-2-1_51JXG_2023-01-24_final.stac-item
2023-02-05 11:52:36	ga_s2am_ard_3-2-1_50KPF_2023-02-05_final.stac-item
2023-02-08 12:05:07	ga_s2am_ard_3-2-1_49JFM_2023-02-08_final.stac-item
2023-03-08 11:26:03	ga_s2am_ard_3-2-1_51JXF_2023-03-08_final.stac-item
2023-04-27 11:26:22	ga_s2am_ard_3-2-1_51HXE_2023-04-27_final.stac-item
2023-06-13 11:16:01	ga_s2am_ard_3-2-1_51JXG_2023-06-13_final.stac-item
2023-07-16 11:26:10	ga_s2am_ard_3-2-1_51JUG_2023-07-16_final.stac-item
2023-07-23 11:15:52	ga_s2am_ard_3-2-1_51JXH_2023-07-23_final.stac-item
2023-08-05 11:26:10	ga_s2am_ard_3-2-1_51JUG_2023-08-05_final.stac-item
2023-11-20 11:15:54	ga_s2am_ard_3-2-1_51JXG_2023-11-20_final.stac-item
2023-12-05 12:04:42	ga_s2am_ard_3-2-1_50JMS_2023-12-05_final.stac-item
2023-12-06 11:31:53	ga_s2am_ard_3-2-1_51KZB_2023-12-06_final.stac-item
2023-12-12 11:54:18	ga_s2am_ard_3-2-1_50JQT_2023-12-12_final.stac-item
2023-12-20 11:15:53	ga_s2am_ard_3-2-1_51JXG_2023-12-20_final.stac-item
2023-12-29 11:45:54	ga_s2am_ard_3-2-1_51JTG_2023-12-29_final.stac-item
2024-01-19 11:15:48	ga_s2am_ard_3-2-1_51JXG_2024-01-19_final.stac-item
2024-01-28 11:45:52	ga_s2am_ard_3-2-1_51JTG_2024-01-28_final.stac-item
2024-01-31 11:52:15	ga_s2am_ard_3-2-1_50KQG_2024-01-31_final.stac-item
2024-01-31 11:55:22	ga_s2am_ard_3-2-1_50JPP_2024-01-31_final.stac-item
2024-02-07 11:44:47	ga_s2am_ard_3-2-1_51JUL_2024-02-07_final.stac-item
2024-02-07 11:45:53	ga_s2am_ard_3-2-1_51JTG_2024-02-07_final.stac-item
2024-02-28 11:15:53	ga_s2am_ard_3-2-1_51JYG_2024-02-28_final.stac-item
2024-04-03 12:03:46	ga_s2am_ard_3-2-1_50KMA_2024-04-03_final.stac-item
2024-04-13 12:05:00	ga_s2am_ard_3-2-1_50JMR_2024-04-13_final.stac-item
2024-04-18 11:16:00	ga_s2am_ard_3-2-1_51JXG_2024-04-18_final.stac-item
2024-04-27 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-04-27_final.stac-item
2024-04-28 11:16:00	ga_s2am_ard_3-2-1_51JXG_2024-04-28_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

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