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
2015-07-12 11:04:33	ga_s2am_ard_3-2-1_52JCQ_2015-07-12_final.stac-item
2015-07-12 11:04:33	ga_s2am_ard_3-2-1_52JDQ_2015-07-12_final.stac-item
2015-07-12 11:04:33	ga_s2am_ard_3-2-1_52JEL_2015-07-12_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51KZP_2015-12-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52KBU_2015-12-25_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JUN_2016-02-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUQ_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPG_2016-03-20_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JEN_2016-03-28_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KZP_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KUP_2016-05-09_final.stac-item
2016-05-16 11:26:26	ga_s2am_ard_3-2-1_51KYA_2016-05-16_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HXD_2016-05-23_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZP_2016-05-23_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52JDP_2016-05-30_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWQ_2016-12-22_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVS_2016-12-25_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KXS_2016-12-29_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KUT_2017-01-01_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51LUE_2017-07-23_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUQ_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVR_2017-11-07_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVT_2017-11-27_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUU_2017-12-30_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUU_2018-02-28_final
2018-11-09 11:23:05	ga_s2am_ard_3-2-1_51KYT_2018-11-09_final
2018-11-12 11:33:04	ga_s2am_ard_3-2-1_51KXT_2018-11-12_final
2018-11-12 11:33:07	ga_s2am_ard_3-2-1_51KWT_2018-11-12_final
2018-11-22 11:33:06	ga_s2am_ard_3-2-1_51KWT_2018-11-22_final
2018-11-26 11:13:46	ga_s2am_ard_3-2-1_51KZQ_2018-11-26_final
2018-12-02 11:33:54	ga_s2am_ard_3-2-1_51KUQ_2018-12-02_final
2018-12-09 11:23:16	ga_s2am_ard_3-2-1_51KYS_2018-12-09_final
2018-12-09 11:23:34	ga_s2am_ard_3-2-1_51KXR_2018-12-09_final
2018-12-15 11:43:16	ga_s2am_ard_3-2-1_51KVS_2018-12-15_final
2018-12-22 11:32:50	ga_s2am_ard_3-2-1_51KWU_2018-12-22_final
2018-12-26 11:13:21	ga_s2am_ard_3-2-1_51KZS_2018-12-26_final
2018-12-26 11:13:33	ga_s2am_ard_3-2-1_51KZR_2018-12-26_final
2018-12-29 11:23:00	ga_s2am_ard_3-2-1_51KZT_2018-12-29_final
2019-01-04 11:42:55	ga_s2am_ard_3-2-1_51KUU_2019-01-04_final
2019-01-05 11:13:23	ga_s2am_ard_3-2-1_51KZS_2019-01-05_final
2019-01-08 11:23:05	ga_s2am_ard_3-2-1_51KYT_2019-01-08_final
2019-01-08 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-01-08_final
2019-01-11 11:33:26	ga_s2am_ard_3-2-1_51KVS_2019-01-11_final
2019-02-10 11:33:27	ga_s2am_ard_3-2-1_51KVS_2019-02-10_final
2019-11-10 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-11-10_final
2019-11-10 11:43:08	ga_s2am_ard_3-2-1_51KUT_2019-11-10_final
2019-11-24 11:23:25	ga_s2am_ard_3-2-1_51KYS_2019-11-24_final
2019-11-30 11:43:10	ga_s2am_ard_3-2-1_51KVT_2019-11-30_final
2019-12-10 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-12-10_final
2019-12-17 11:32:54	ga_s2am_ard_3-2-1_51KWU_2019-12-17_final
2019-12-17 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2019-12-17_final
2019-12-20 11:43:37	ga_s2am_ard_3-2-1_51KUR_2019-12-20_final
2019-12-24 11:23:15	ga_s2am_ard_3-2-1_51KZS_2019-12-24_final
2020-01-13 11:23:19	ga_s2am_ard_3-2-1_51KYS_2020-01-13_final
2020-01-26 11:33:38	ga_s2am_ard_3-2-1_51KVR_2020-01-26_final
2020-02-15 11:33:56	ga_s2am_ard_3-2-1_51KUQ_2020-02-15_final
2020-11-11 11:33:17	ga_s2am_ard_3-2-1_51KWT_2020-11-11_final
2020-11-11 11:34:40	ga_s2am_ard_3-2-1_51JTN_2020-11-11_final
2020-11-18 11:23:16	ga_s2am_ard_3-2-1_51KXT_2020-11-18_final
2020-11-21 11:33:00	ga_s2am_ard_3-2-1_51KWU_2020-11-21_final
2020-11-28 11:23:43	ga_s2am_ard_3-2-1_51KXR_2020-11-28_final
2020-12-01 11:33:16	ga_s2am_ard_3-2-1_51KVT_2020-12-01_final
2020-12-21 11:32:57	ga_s2am_ard_3-2-1_51KWU_2020-12-21_final
2021-01-10 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-10_final
2021-02-09 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2021-02-09_final
2021-03-08 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2021-03-08_final
2021-11-06 11:33:34	ga_s2am_ard_3-2-1_51KVS_2021-11-06_final
2021-11-16 11:33:43	ga_s2am_ard_3-2-1_51KWR_2021-11-16_final
2021-11-20 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2021-11-20_final
2021-12-06 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-12-06_final
2021-12-09 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-12-09_final
2021-12-16 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-12-16_final
2021-12-19 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-12-19_final
2021-12-19 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-12-19_final
2021-12-20 11:13:55	ga_s2am_ard_3-2-1_52KBV_2021-12-20_final
2021-12-26 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-12-26_final
2021-12-30 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-12-30_final
2022-10-22 11:33:24	ga_s2am_ard_3-2-1_51KUT_2022-10-22_final.stac-item
2022-10-29 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2022-10-29_final.stac-item
2022-11-11 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-11-11_final.stac-item
2022-12-08 11:23:29	ga_s2am_ard_3-2-1_51KXS_2022-12-08_final.stac-item
2022-12-21 11:33:00	ga_s2am_ard_3-2-1_51KVU_2022-12-21_final.stac-item
2023-01-07 11:23:12	ga_s2am_ard_3-2-1_51KXT_2023-01-07_final.stac-item
2023-11-06 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2023-11-06_final.stac-item
2023-11-16 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-11-16_final.stac-item
2023-12-06 11:34:09	ga_s2am_ard_3-2-1_51JXN_2023-12-06_final.stac-item
2023-12-16 11:32:58	ga_s2am_ard_3-2-1_51KYT_2023-12-16_final.stac-item
2023-12-16 11:33:09	ga_s2am_ard_3-2-1_51KWT_2023-12-16_final.stac-item
2023-12-16 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-12-16_final.stac-item
2023-12-16 11:33:41	ga_s2am_ard_3-2-1_51KVR_2023-12-16_nrt.stac-item
2023-12-19 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-12-19_final.stac-item
2023-12-26 11:33:19	ga_s2am_ard_3-2-1_51KUT_2023-12-26_final.stac-item
2023-12-26 11:34:11	ga_s2am_ard_3-2-1_51KVP_2023-12-26_final.stac-item
2024-01-05 11:33:05	ga_s2am_ard_3-2-1_51KXT_2024-01-05_final.stac-item
2024-01-08 11:43:07	ga_s2am_ard_3-2-1_51KUT_2024-01-08_final.stac-item
2024-01-09 11:15:17	ga_s2am_ard_3-2-1_52JBP_2024-01-09_final.stac-item
2024-01-15 11:33:02	ga_s2am_ard_3-2-1_51KXT_2024-01-15_final.stac-item
2024-01-25 11:34:08	ga_s2am_ard_3-2-1_51KUP_2024-01-25_final.stac-item
2024-02-07 11:43:11	ga_s2am_ard_3-2-1_51KUT_2024-02-07_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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