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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_51JVF_2015-09-09_final.stac-item
2015-09-19 11:36:06	ga_s2am_ard_3-2-1_51HUE_2015-09-19_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51HUE_2015-12-08_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HQK_2016-02-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRC_2016-03-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KYT_2016-03-24_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDQ_2016-03-28_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KNV_2016-04-02_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-04-25_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JWM_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JFN_2016-05-04_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQK_2016-05-16_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KZB_2016-05-23_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-29_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-09-30 11:26:04	ga_s2am_ard_3-2-1_51JVF_2016-09-30_final.stac-item
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JVF_2017-05-28_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51LWC_2017-05-31_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final.stac-item
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KYS_2018-06-02_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KXP_2018-06-05_final.stac-item
2019-02-03 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-02-03_final.stac-item
2019-04-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2019-04-01_final.stac-item
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-07-10_final.stac-item
2019-07-23 11:41:23	ga_s2am_ard_3-2-1_51LUF_2019-07-23_final.stac-item
2019-09-18 11:36:10	ga_s2am_ard_3-2-1_51JVF_2019-09-18_final.stac-item
2019-10-15 11:26:32	ga_s2am_ard_3-2-1_51HVE_2019-10-15_final.stac-item
2019-10-24 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-24_final.stac-item
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final.stac-item
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final.stac-item
2020-02-02 11:26:03	ga_s2am_ard_3-2-1_51JWF_2020-02-02_final.stac-item
2020-02-11 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-11_final.stac-item
2020-04-05 11:35:41	ga_s2am_ard_3-2-1_51JUH_2020-04-05_final.stac-item
2020-04-08 11:46:05	ga_s2am_ard_3-2-1_51JTF_2020-04-08_final.stac-item
2020-05-22 11:23:26	ga_s2am_ard_3-2-1_52KBB_2020-05-22_final.stac-item
2020-06-10 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-06-10_final.stac-item
2020-06-21 11:23:13	ga_s2am_ard_3-2-1_51KZT_2020-06-21_final.stac-item
2020-07-24 11:33:08	ga_s2am_ard_3-2-1_51KXT_2020-07-24_final.stac-item
2020-09-22 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-09-22_final.stac-item
2020-09-30 10:55:19	ga_s2am_ard_3-2-1_52JGP_2020-09-30_final.stac-item
2020-10-02 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-10-02_final.stac-item
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final.stac-item
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final.stac-item
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final.stac-item
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final.stac-item
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final.stac-item
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final.stac-item
2021-02-09 11:36:22	ga_s2am_ard_3-2-1_51HVE_2021-02-09_final.stac-item
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final.stac-item
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final.stac-item
2021-03-14 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-03-14_final.stac-item
2021-07-03 11:13:31	ga_s2am_ard_3-2-1_51KZS_2021-07-03_final.stac-item
2021-07-26 11:23:25	ga_s2am_ard_3-2-1_51KZS_2021-07-26_final.stac-item
2021-09-06 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-09-06_final.stac-item
2021-09-07 11:37:11	ga_s2am_ard_3-2-1_50HQG_2021-09-07_final
2021-09-17 11:36:45	ga_s2am_ard_3-2-1_51HUD_2021-09-17_final.stac-item
2021-09-30 11:46:12	ga_s2am_ard_3-2-1_51JTF_2021-09-30_final.stac-item
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final.stac-item
2022-01-09 11:16:32	ga_s2am_ard_3-2-1_51HWE_2022-01-09_final.stac-item
2022-02-01 11:26:26	ga_s2am_ard_3-2-1_51HWE_2022-02-01_final.stac-item
2022-04-02 11:25:59	ga_s2am_ard_3-2-1_51JWG_2022-04-02_final.stac-item
2022-05-18 11:43:27	ga_s2am_ard_3-2-1_50KQC_2022-05-18_final.stac-item
2022-06-15 11:05:12	ga_s2am_ard_3-2-1_52JEQ_2022-06-15_final.stac-item
2022-07-25 11:05:37	ga_s2am_ard_3-2-1_52JFN_2022-07-25_final.stac-item
2022-09-01 12:06:07	ga_s2am_ard_3-2-1_50JKN_2022-09-01_final.stac-item
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-09-03 11:06:11	ga_s2am_ard_3-2-1_52JEL_2022-09-03_final.stac-item
2022-09-03 11:06:15	ga_s2am_ard_3-2-1_52JDL_2022-09-03_final.stac-item
2022-09-11 12:05:09	ga_s2am_ard_3-2-1_50JMR_2022-09-11_final.stac-item
2022-09-11 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-09-11_final.stac-item
2022-09-13 11:04:45	ga_s2am_ard_3-2-1_52JGR_2022-09-13_final.stac-item
2022-09-13 11:06:13	ga_s2am_ard_3-2-1_52JDL_2022-09-13_final.stac-item
2022-09-19 11:23:01	ga_s2am_ard_3-2-1_51KZU_2022-09-19_final.stac-item
2022-09-19 11:23:15	ga_s2am_ard_3-2-1_51KZT_2022-09-19_final.stac-item
2022-09-23 11:04:18	ga_s2am_ard_3-2-1_52JGT_2022-09-23_final.stac-item
2022-09-23 11:05:08	ga_s2am_ard_3-2-1_52JEQ_2022-09-23_final.stac-item
2022-09-26 11:14:38	ga_s2am_ard_3-2-1_52JDS_2022-09-26_final.stac-item
2022-09-28 11:57:13	ga_s2am_ard_3-2-1_50HMH_2022-09-28_final.stac-item
2022-09-29 11:26:15	ga_s2am_ard_3-2-1_51JXF_2022-09-29_final.stac-item
2022-10-03 11:04:31	ga_s2am_ard_3-2-1_52JGS_2022-10-03_final.stac-item
2022-12-07 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-12-07_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-04-03 11:45:43	ga_s2am_ard_3-2-1_51JTH_2023-04-03_final
2023-04-07 11:25:38	ga_s2am_ard_3-2-1_51JXH_2023-04-07_final
2023-04-07 11:25:57	ga_s2am_ard_3-2-1_51JWG_2023-04-07_final
2023-04-14 11:14:35	ga_s2am_ard_3-2-1_52JCS_2023-04-14_final
2023-06-09 11:33:13	ga_s2am_ard_3-2-1_51KXT_2023-06-09_final
2023-06-12 11:41:22	ga_s2am_ard_3-2-1_51LUF_2023-06-12_final
2023-06-19 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-06-19_final
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final
2023-09-10 11:45:48	ga_s2am_ard_3-2-1_51JTH_2023-09-10_final
2023-09-14 11:26:44	ga_s2am_ard_3-2-1_51HWD_2023-09-14_final
2023-09-18 11:06:06	ga_s2am_ard_3-2-1_52JDL_2023-09-18_final
2023-09-20 11:45:46	ga_s2am_ard_3-2-1_51JTH_2023-09-20_final
2023-09-21 11:14:18	ga_s2am_ard_3-2-1_52JDT_2023-09-21_final
2023-10-10 11:41:17	ga_s2am_ard_3-2-1_51LUF_2023-10-10_final
2023-10-17 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-10-17_final
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_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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