Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPK_2016-03-07_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KPV_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQB_2016-04-29_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JQM_2016-05-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLR_2016-05-22_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KYB_2016-05-23_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_50JQL_2016-05-26_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51HWC_2016-05-30_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPK_2016-06-05_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KYT_2016-08-11_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KYS_2016-08-31_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-09-15_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KXS_2016-12-12_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVB_2017-01-01_final.stac-item
2017-07-03 11:37:51	ga_s2am_ard_3-2-1_51KUT_2017-07-03_final.stac-item
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYT_2017-07-17_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51KYS_2017-09-15_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JRS_2017-09-28_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUG_2017-09-28_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KXQ_2017-09-28_final.stac-item
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_51HUE_2017-10-08_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVS_2017-12-17_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXS_2017-12-17_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50JPM_2018-02-08_final.stac-item
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50HPK_2018-04-06_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KXT_2018-05-26_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KVA_2018-10-06_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final.stac-item
2018-11-19 11:22:54	ga_s2am_ard_3-2-1_51KXU_2018-11-19_final.stac-item
2018-11-29 11:23:01	ga_s2am_ard_3-2-1_51KYT_2018-11-29_final.stac-item
2018-12-12 11:32:50	ga_s2am_ard_3-2-1_51KWU_2018-12-12_final.stac-item
2019-01-14 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-14_final.stac-item
2019-02-07 11:23:22	ga_s2am_ard_3-2-1_51KYS_2019-02-07_final.stac-item
2019-05-11 11:32:58	ga_s2am_ard_3-2-1_51KXU_2019-05-11_final.stac-item
2019-05-31 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-05-31_final.stac-item
2019-05-31 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2019-05-31_final.stac-item
2019-06-10 11:32:57	ga_s2am_ard_3-2-1_51KXU_2019-06-10_final.stac-item
2019-06-27 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-06-27_final.stac-item
2019-07-27 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2019-07-27_final.stac-item
2019-08-02 11:43:34	ga_s2am_ard_3-2-1_51KUS_2019-08-02_final.stac-item
2019-08-06 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-08-06_final.stac-item
2019-08-09 11:33:31	ga_s2am_ard_3-2-1_51KWS_2019-08-09_final.stac-item
2019-09-11 11:43:27	ga_s2am_ard_3-2-1_51KUS_2019-09-11_final.stac-item
2019-11-07 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-11-07_final.stac-item
2019-12-17 11:32:53	ga_s2am_ard_3-2-1_51KXU_2019-12-17_final.stac-item
2019-12-27 11:33:39	ga_s2am_ard_3-2-1_51KVR_2019-12-27_final.stac-item
2019-12-30 11:42:59	ga_s2am_ard_3-2-1_50KRD_2019-12-30_final.stac-item
2020-02-08 11:42:38	ga_s2am_ard_3-2-1_51KUV_2020-02-08_final.stac-item
2020-03-13 11:23:24	ga_s2am_ard_3-2-1_51KXS_2020-03-13_final.stac-item
2020-03-26 11:33:20	ga_s2am_ard_3-2-1_51KXS_2020-03-26_final.stac-item
2020-04-08 11:43:27	ga_s2am_ard_3-2-1_51KUS_2020-04-08_final.stac-item
2020-04-12 11:23:27	ga_s2am_ard_3-2-1_51KXS_2020-04-12_final.stac-item
2020-04-18 11:43:03	ga_s2am_ard_3-2-1_51KTU_2020-04-18_final.stac-item
2020-07-14 11:33:07	ga_s2am_ard_3-2-1_51KYT_2020-07-14_final.stac-item
2020-08-03 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-08-03_final.stac-item
2020-08-23 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-08-23_final.stac-item
2020-09-12 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-09-12_final.stac-item
2020-10-02 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2020-10-02_final.stac-item
2020-10-29 11:23:59	ga_s2am_ard_3-2-1_51KYQ_2020-10-29_final.stac-item
2020-11-21 11:33:47	ga_s2am_ard_3-2-1_51KVR_2020-11-21_final.stac-item
2020-11-21 11:36:36	ga_s2am_ard_3-2-1_51HVD_2020-11-21_final.stac-item
2021-03-14 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-03-14_final.stac-item
2021-04-13 11:44:32	ga_s2am_ard_3-2-1_50JPT_2021-04-13_final.stac-item
2021-04-29 12:06:01	ga_s2am_ard_3-2-1_50JLM_2021-04-29_final.stac-item
2021-07-15 11:53:06	ga_s2am_ard_3-2-1_50KQD_2021-07-15_final
2021-07-16 11:23:46	ga_s2am_ard_3-2-1_51KXR_2021-07-16_final.stac-item
2021-07-29 11:37:14	ga_s2am_ard_3-2-1_50HQG_2021-07-29_final
2021-08-01 11:45:50	ga_s2am_ard_3-2-1_50JQN_2021-08-01_final.stac-item
2021-08-18 11:34:18	ga_s2am_ard_3-2-1_51JXN_2021-08-18_final.stac-item
2021-08-28 11:33:32	ga_s2am_ard_3-2-1_51KVS_2021-08-28_final.stac-item
2021-11-16 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-11-16_final.stac-item
2021-12-09 11:43:23	ga_s2am_ard_3-2-1_51KVS_2021-12-09_final.stac-item
2022-01-12 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-01-12_final.stac-item
2022-04-05 11:33:10	ga_s2am_ard_3-2-1_51KXT_2022-04-05_final.stac-item
2022-06-14 11:34:21	ga_s2am_ard_3-2-1_51KWP_2022-06-14_final.stac-item
2022-07-01 11:23:26	ga_s2am_ard_3-2-1_51KXT_2022-07-01_final.stac-item
2022-07-04 11:33:22	ga_s2am_ard_3-2-1_51KXT_2022-07-04_final.stac-item
2022-09-09 11:26:55	ga_s2am_ard_3-2-1_51HVD_2022-09-09_final.stac-item
2022-09-12 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-09-12_final.stac-item
2022-10-02 11:33:34	ga_s2am_ard_3-2-1_51KWS_2022-10-02_final.stac-item
2023-01-07 11:23:09	ga_s2am_ard_3-2-1_51KYT_2023-01-07_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-02-05_final
2023-03-11 11:33:23	ga_s2am_ard_3-2-1_51KWS_2023-03-11_final
2023-04-07 11:23:25	ga_s2am_ard_3-2-1_51KYS_2023-04-07_final
2023-05-07 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-05-07_final
2023-08-05 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-08-05_final
2023-08-18 11:33:01	ga_s2am_ard_3-2-1_51KXU_2023-08-18_final
2023-08-18 11:33:08	ga_s2am_ard_3-2-1_51KYT_2023-08-18_final
2023-09-17 11:33:45	ga_s2am_ard_3-2-1_51KWR_2023-09-17_final
2023-09-17 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2023-09-17_final
2023-12-06 11:33:06	ga_s2am_ard_3-2-1_51KWT_2023-12-06_final
2024-01-05 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2024-01-05_final
2024-03-02 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2024-03-02_final
2024-03-08 11:43:12	ga_s2am_ard_3-2-1_51KVT_2024-03-08_final
2024-03-12 11:24:30	ga_s2am_ard_3-2-1_51JWN_2024-03-12_final
2024-04-04 11:32:55	ga_s2am_ard_3-2-1_51KWU_2024-04-04_final
2024-04-07 11:43:15	ga_s2am_ard_3-2-1_51KVT_2024-04-07_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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