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
2015-08-15 10:45:30	ga_s2am_ard_3-2-1_53HME_2015-08-15_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXQ_2016-01-07_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGN_2016-03-09_final.stac-item
2016-04-12 10:15:53	ga_s2am_ard_3-2-1_54HXJ_2016-04-12_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KXS_2016-08-31_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JZM_2017-01-08_final.stac-item
2017-04-29 10:53:17	ga_s2am_ard_3-2-1_53JKG_2017-04-29_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JPL_2017-05-11_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54HVE_2017-06-16_final.stac-item
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52LGM_2017-11-08_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXU_2018-02-15_final.stac-item
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54JVQ_2018-04-05_final.stac-item
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53JQK_2018-05-18_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KVS_2018-05-29_final.stac-item
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KZR_2018-06-02_final.stac-item
2018-07-11 10:07:06	ga_s2am_ard_3-2-1_54HXK_2018-07-11_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_50KKA_2018-08-26_final.stac-item
2018-09-04 10:57:14	ga_s2am_ard_3-2-1_52JEQ_2018-09-04_final.stac-item
2018-09-26 09:57:03	ga_s2am_ard_3-2-1_54HXC_2018-09-26_final.stac-item
2018-09-29 10:07:01	ga_s2am_ard_3-2-1_54HWF_2018-09-29_final.stac-item
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51HYD_2018-10-17_final.stac-item
2018-12-27 10:45:51	ga_s2am_ard_3-2-1_53JKF_2018-12-27_final.stac-item
2019-01-21 11:33:30	ga_s2am_ard_3-2-1_51KUS_2019-01-21_final.stac-item
2019-01-25 11:12:03	ga_s2am_ard_3-2-1_52KDG_2019-01-25_final.stac-item
2019-02-19 10:24:30	ga_s2am_ard_3-2-1_54JTR_2019-02-19_final.stac-item
2019-03-01 10:24:51	ga_s2am_ard_3-2-1_54JVP_2019-03-01_final.stac-item
2019-04-01 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2019-04-01_final.stac-item
2019-05-25 11:13:19	ga_s2am_ard_3-2-1_52KDB_2019-05-25_final.stac-item
2019-06-13 11:45:42	ga_s2am_ard_3-2-1_50JNP_2019-06-13_final.stac-item
2019-09-28 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2019-09-28_final.stac-item
2019-10-21 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-21_final.stac-item
2019-10-22 11:10:40	ga_s2am_ard_3-2-1_52LHM_2019-10-22_final.stac-item
2019-11-07 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-11-07_final.stac-item
2019-11-19 10:34:27	ga_s2am_ard_3-2-1_53JNM_2019-11-19_final.stac-item
2019-12-17 11:33:22	ga_s2am_ard_3-2-1_51KWS_2019-12-17_final.stac-item
2020-01-05 10:24:43	ga_s2am_ard_3-2-1_54JTQ_2020-01-05_final.stac-item
2020-01-09 11:42:04	ga_s2am_ard_3-2-1_51KWB_2020-01-09_final.stac-item
2020-01-20 11:12:54	ga_s2am_ard_3-2-1_52KEC_2020-01-20_final.stac-item
2020-02-08 11:43:35	ga_s2am_ard_3-2-1_51KUR_2020-02-08_final.stac-item
2020-02-28 11:42:55	ga_s2am_ard_3-2-1_51KUU_2020-02-28_final.stac-item
2020-04-01 10:15:18	ga_s2am_ard_3-2-1_54JXM_2020-04-01_final.stac-item
2020-05-01 11:55:01	ga_s2am_ard_3-2-1_50JLS_2020-05-01_final.stac-item
2020-05-16 11:04:12	ga_s2am_ard_3-2-1_52KDU_2020-05-16_final.stac-item
2020-06-01 11:22:58	ga_s2am_ard_3-2-1_52KBD_2020-06-01_final.stac-item
2020-06-21 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-06-21_final.stac-item
2020-07-18 11:15:27	ga_s2am_ard_3-2-1_52JBP_2020-07-18_final.stac-item
2020-07-31 11:26:53	ga_s2am_ard_3-2-1_51HUD_2020-07-31_final.stac-item
2020-09-24 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-09-24_final.stac-item
2020-11-25 11:14:39	ga_s2am_ard_3-2-1_51JZM_2020-11-25_final.stac-item
2020-12-05 11:13:53	ga_s2am_ard_3-2-1_52KBV_2020-12-05_final.stac-item
2020-12-17 10:16:25	ga_s2am_ard_3-2-1_54HVH_2020-12-17_final.stac-item
2020-12-20 10:23:38	ga_s2am_ard_3-2-1_53KRQ_2020-12-20_final.stac-item
2021-01-12 10:31:51	ga_s2am_ard_3-2-1_53KRB_2021-01-12_final
2021-01-27 11:24:05	ga_s2am_ard_3-2-1_51KZP_2021-01-27_final.stac-item
2021-03-24 11:44:08	ga_s2am_ard_3-2-1_50KPV_2021-03-24_final.stac-item
2021-03-30 10:26:44	ga_s2am_ard_3-2-1_53HQB_2021-03-30_final.stac-item
2021-04-29 10:24:01	ga_s2am_ard_3-2-1_53JRN_2021-04-29_final.stac-item
2021-05-06 10:16:22	ga_s2am_ard_3-2-1_54HWH_2021-05-06_final.stac-item
2021-06-29 11:33:04	ga_s2am_ard_3-2-1_51KYT_2021-06-29_final.stac-item
2021-07-08 12:05:14	ga_s2am_ard_3-2-1_50JKR_2021-07-08_final.stac-item
2021-08-05 11:23:52	ga_s2am_ard_3-2-1_52KBV_2021-08-05_final.stac-item
2021-08-21 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-08-21_final.stac-item
2021-08-28 11:32:02	ga_s2am_ard_3-2-1_51LWC_2021-08-28_final.stac-item
2021-09-14 11:23:36	ga_s2am_ard_3-2-1_52KBA_2021-09-14_final.stac-item
2021-09-26 12:03:48	ga_s2am_ard_3-2-1_50KKB_2021-09-26_final.stac-item
2021-09-26 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-09-26_final.stac-item
2021-10-02 10:45:33	ga_s2am_ard_3-2-1_53JKH_2021-10-02_final.stac-item
2021-11-06 09:56:43	ga_s2am_ard_3-2-1_54HYG_2021-11-06_final.stac-item
2021-11-26 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-11-26_final.stac-item
2022-01-12 11:22:49	ga_s2am_ard_3-2-1_52KCD_2022-01-12_final.stac-item
2022-01-23 10:52:12	ga_s2am_ard_3-2-1_53KLA_2022-01-23_final.stac-item
2022-04-13 10:50:41	ga_s2am_ard_3-2-1_53LNG_2022-04-13_final.stac-item
2022-04-15 11:36:13	ga_s2am_ard_3-2-1_51JVF_2022-04-15_final.stac-item
2022-04-23 10:50:54	ga_s2am_ard_3-2-1_53LPF_2022-04-23_final.stac-item
2022-04-30 10:41:14	ga_s2am_ard_3-2-1_53LPE_2022-04-30_final.stac-item
2022-05-04 10:26:51	ga_s2am_ard_3-2-1_53HQB_2022-05-04_final.stac-item
2022-05-05 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-05-05_final.stac-item
2022-05-12 11:26:18	ga_s2am_ard_3-2-1_51JVF_2022-05-12_final.stac-item
2022-06-16 10:35:20	ga_s2am_ard_3-2-1_53JNJ_2022-06-16_final.stac-item
2022-06-29 10:44:26	ga_s2am_ard_3-2-1_53JLN_2022-06-29_final.stac-item
2022-09-04 10:35:17	ga_s2am_ard_3-2-1_53JPJ_2022-09-04_final.stac-item
2022-09-06 11:16:23	ga_s2am_ard_3-2-1_51JXF_2022-09-06_final.stac-item
2022-11-14 11:41:21	ga_s2am_ard_3-2-1_51LUF_2022-11-14_final.stac-item
2022-12-08 11:22:09	ga_s2am_ard_3-2-1_51KZB_2022-12-08_final.stac-item
2022-12-30 10:26:53	ga_s2am_ard_3-2-1_53HNB_2022-12-30_final.stac-item
2023-01-27 11:25:43	ga_s2am_ard_3-2-1_51JVH_2023-01-27_final.stac-item
2023-03-09 10:53:52	ga_s2am_ard_3-2-1_52KHU_2023-03-09_final
2023-06-01 10:33:35	ga_s2am_ard_3-2-1_53KRQ_2023-06-01_final
2023-06-25 10:17:06	ga_s2am_ard_3-2-1_54HWE_2023-06-25_final
2023-06-26 11:21:29	ga_s2am_ard_3-2-1_51LZE_2023-06-26_final
2023-07-21 10:36:50	ga_s2am_ard_3-2-1_53HPB_2023-07-21_final
2023-10-09 10:36:28	ga_s2am_ard_3-2-1_53HLD_2023-10-09_final
2023-11-01 10:43:03	ga_s2am_ard_3-2-1_53KPS_2023-11-01_final
2023-11-16 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-11-16_final
2023-11-29 10:06:17	ga_s2am_ard_3-2-1_54HXH_2023-11-29_final
2023-12-26 11:33:19	ga_s2am_ard_3-2-1_51KUT_2023-12-26_final
2024-01-25 11:33:03	ga_s2am_ard_3-2-1_51KXT_2024-01-25_final
2024-02-21 11:23:47	ga_s2am_ard_3-2-1_52KBV_2024-02-21_final
2024-02-28 11:14:05	ga_s2am_ard_3-2-1_52KCU_2024-02-28_final
2024-03-18 11:43:01	ga_s2am_ard_3-2-1_51KUU_2024-03-18_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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