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
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KXU_2016-03-24_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KMB_2016-04-02_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51HWE_2016-04-10_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JPL_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KUT_2016-05-16_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUN_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWQ_2017-09-28_final
2017-10-08 11:36:02	ga_s2am_ard_3-2-1_50JQM_2017-10-08_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_51JVF_2017-10-08_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_50JQM_2017-10-28_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_51HVE_2017-10-28_final
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51HVE_2017-11-04_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51HWC_2017-12-24_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWR_2018-02-15_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51KXQ_2018-06-12_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KXV_2018-06-15_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51KWQ_2018-07-22_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KXU_2018-07-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KXV_2018-08-04_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KXS_2018-08-14_final
2018-11-29 11:23:30	ga_s2am_ard_3-2-1_51KYR_2018-11-29_final
2018-12-02 11:32:50	ga_s2am_ard_3-2-1_51KWU_2018-12-02_final
2018-12-15 11:43:16	ga_s2am_ard_3-2-1_51KVS_2018-12-15_final
2018-12-19 11:23:30	ga_s2am_ard_3-2-1_51KYR_2018-12-19_final
2018-12-21 12:03:15	ga_s2am_ard_3-2-1_50KMC_2018-12-21_final
2019-01-01 11:34:11	ga_s2am_ard_3-2-1_51KUP_2019-01-01_final
2019-01-04 11:44:22	ga_s2am_ard_3-2-1_51JUN_2019-01-04_final
2019-01-11 11:33:26	ga_s2am_ard_3-2-1_51KVS_2019-01-11_final
2019-01-31 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-31_final.stac-item
2019-04-24 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-04-24_final
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-07-10_final
2019-09-08 11:33:08	ga_s2am_ard_3-2-1_51KXT_2019-09-08_final
2019-09-17 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2019-09-17_final
2019-11-07 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-11-07_final
2019-11-20 11:47:22	ga_s2am_ard_3-2-1_50HNG_2019-11-20_final.stac-item
2019-12-14 11:23:20	ga_s2am_ard_3-2-1_51KYS_2019-12-14_final
2019-12-27 11:33:33	ga_s2am_ard_3-2-1_51KXR_2019-12-27_final
2020-02-05 11:33:30	ga_s2am_ard_3-2-1_51KXR_2020-02-05_final
2020-02-15 11:33:27	ga_s2am_ard_3-2-1_51KUS_2020-02-15_final
2020-03-26 11:33:38	ga_s2am_ard_3-2-1_51KWR_2020-03-26_final
2020-04-04 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-04-04_final
2020-04-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-04-21_final
2020-05-22 11:23:16	ga_s2am_ard_3-2-1_51KYT_2020-05-22_final
2020-05-31 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-05-31_final
2020-06-14 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-06-14_final
2020-08-23 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-08-23_final
2020-09-15 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-09-15_final
2020-10-28 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-10-28_final.stac-item
2020-11-01 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-11-01_final
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2020-11-13_final.stac-item
2020-11-24 11:43:16	ga_s2am_ard_3-2-1_51KUT_2020-11-24_final
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final
2021-01-20 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-01-20_final
2021-03-01 11:33:01	ga_s2am_ard_3-2-1_51KVU_2021-03-01_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-10 11:33:22	ga_s2am_ard_3-2-1_51KWS_2021-04-10_final
2021-05-17 11:23:13	ga_s2am_ard_3-2-1_51KXT_2021-05-17_final
2021-05-30 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-05-30_final
2021-06-02 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-06-02_final
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final
2021-06-09 11:33:10	ga_s2am_ard_3-2-1_51KXT_2021-06-09_final
2021-06-18 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-06-18_final.stac-item
2021-06-29 11:33:04	ga_s2am_ard_3-2-1_51KYT_2021-06-29_final
2021-07-19 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2021-07-19_final
2021-08-14 11:53:05	ga_s2am_ard_3-2-1_50KQD_2021-08-14_final.stac-item
2021-08-21 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-08-21_final
2021-09-27 11:34:05	ga_s2am_ard_3-2-1_51KWQ_2021-09-27_final
2021-09-30 11:43:01	ga_s2am_ard_3-2-1_51KVU_2021-09-30_final
2021-10-07 11:33:28	ga_s2am_ard_3-2-1_51KXS_2021-10-07_final
2021-10-17 11:33:00	ga_s2am_ard_3-2-1_51KXU_2021-10-17_final
2021-10-20 11:43:02	ga_s2am_ard_3-2-1_51KVU_2021-10-20_final
2022-02-14 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-02-14_final
2022-04-15 11:33:25	ga_s2am_ard_3-2-1_51KUT_2022-04-15_final
2022-04-15 11:33:45	ga_s2am_ard_3-2-1_51KWR_2022-04-15_final
2022-05-25 11:33:16	ga_s2am_ard_3-2-1_51KXT_2022-05-25_final
2022-05-25 11:34:22	ga_s2am_ard_3-2-1_51JXN_2022-05-25_final
2022-05-28 11:43:37	ga_s2am_ard_3-2-1_51KUS_2022-05-28_final
2022-07-24 11:34:21	ga_s2am_ard_3-2-1_51KWP_2022-07-24_final
2022-09-02 11:34:04	ga_s2am_ard_3-2-1_51KXQ_2022-09-02_final.stac-item
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-09-25 11:43:36	ga_s2am_ard_3-2-1_51KUS_2022-09-25_final.stac-item
2022-11-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-11-14_final.stac-item
2022-12-04 11:42:14	ga_s2am_ard_3-2-1_51KVB_2022-12-04_final.stac-item
2022-12-08 11:23:40	ga_s2am_ard_3-2-1_51KYR_2022-12-08_final.stac-item
2023-05-07 11:24:15	ga_s2am_ard_3-2-1_51KWP_2023-05-07_final.stac-item
2023-06-09 11:32:57	ga_s2am_ard_3-2-1_51KXU_2023-06-09_final.stac-item
2023-06-09 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-06-09_final.stac-item
2023-08-05 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2023-08-05_final.stac-item
2023-08-18 11:33:51	ga_s2am_ard_3-2-1_51KVR_2023-08-18_final.stac-item
2023-08-18 11:33:58	ga_s2am_ard_3-2-1_51KXQ_2023-08-18_final.stac-item
2023-11-03 11:23:14	ga_s2am_ard_3-2-1_51KYT_2023-11-03_final.stac-item
2023-11-20 11:16:34	ga_s2am_ard_3-2-1_51HYD_2023-11-20_final.stac-item
2023-12-06 11:33:17	ga_s2am_ard_3-2-1_51KXS_2023-12-06_final.stac-item
2023-12-09 11:42:55	ga_s2am_ard_3-2-1_51KUU_2023-12-09_final.stac-item
2023-12-16 11:33:41	ga_s2am_ard_3-2-1_51KVR_2023-12-16_nrt.stac-item
2024-01-28 11:43:06	ga_s2am_ard_3-2-1_51KVT_2024-01-28_final.stac-item
2024-03-02 11:24:08	ga_s2am_ard_3-2-1_51KYP_2024-03-02_final.stac-item
2024-04-04 11:33:21	ga_s2am_ard_3-2-1_51KXS_2024-04-04_final.stac-item
2024-04-14 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-04-14_final.stac-item
2024-05-27 11:43:30	ga_s2am_ard_3-2-1_51KUS_2024-05-27_nrt.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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