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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HLH_2015-10-22_final.stac-item
2016-02-04 10:52:13	ga_s2am_ard_3-2-1_52KHD_2016-02-04_final.stac-item
2016-02-04 10:53:14	ga_s2am_ard_3-2-1_52KGA_2016-02-04_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_53JQJ_2016-03-06_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JRS_2016-03-07_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52KCE_2016-03-11_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JFS_2016-03-15_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JFT_2016-03-15_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNQ_2016-03-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JWN_2016-03-24_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53JLJ_2016-04-01_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KCC_2016-04-10_final.stac-item
2016-04-17 11:02:12	ga_s2am_ard_3-2-1_52KDV_2016-04-17_final.stac-item
2016-04-17 11:02:12	ga_s2am_ard_3-2-1_52KEU_2016-04-17_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMH_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KWQ_2016-04-23_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KYA_2016-04-23_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JXF_2016-04-30_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_51LZC_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JFP_2016-05-04_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_53KKT_2016-05-04_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_53KLA_2016-05-04_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JTF_2016-05-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNR_2016-05-09_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_53KKT_2016-05-14_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JQN_2016-05-16_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51LZC_2016-05-23_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JVH_2016-05-23_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JVJ_2016-05-23_final.stac-item
2016-05-28 10:34:29	ga_s2am_ard_3-2-1_53JNJ_2016-05-28_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JXH_2016-05-30_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KGU_2016-06-03_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KHB_2016-06-03_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52KEV_2016-06-06_final.stac-item
2016-07-20 10:43:11	ga_s2am_ard_3-2-1_53JPM_2016-07-20_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-08-03_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JLL_2016-09-09_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXL_2017-01-08_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCT_2017-01-25_final.stac-item
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53HLD_2017-05-26_final.stac-item
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51JVF_2017-09-18_final.stac-item
2017-09-19 11:02:07	ga_s2am_ard_3-2-1_52KHF_2017-09-19_final.stac-item
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HMJ_2017-11-13_final.stac-item
2017-11-17 11:36:01	ga_s2am_ard_3-2-1_51JVF_2017-11-17_final.stac-item
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KXS_2018-03-27_final.stac-item
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53JNN_2018-05-18_final.stac-item
2019-01-23 10:34:10	ga_s2am_ard_3-2-1_53JNN_2019-01-23_final.stac-item
2019-04-13 10:34:24	ga_s2am_ard_3-2-1_53JPM_2019-04-13_final.stac-item
2019-05-23 10:34:17	ga_s2am_ard_3-2-1_53JNN_2019-05-23_final.stac-item
2019-09-19 11:02:18	ga_s2am_ard_3-2-1_52KHF_2019-09-19_final.stac-item
2019-09-19 11:02:18	ga_s2am_ard_3-2-1_52KHE_2019-09-19_final.stac-item
2019-09-26 10:52:30	ga_s2am_ard_3-2-1_53KKV_2019-09-26_final.stac-item
2019-10-13 10:44:06	ga_s2am_ard_3-2-1_53JPN_2019-10-13_final.stac-item
2019-11-29 10:34:03	ga_s2am_ard_3-2-1_53JQN_2019-11-29_final.stac-item
2019-12-13 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-12-13_final.stac-item
2020-02-21 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-02-21_final.stac-item
2020-04-05 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-04-05_final.stac-item
2020-04-07 10:34:01	ga_s2am_ard_3-2-1_53JQN_2020-04-07_final.stac-item
2020-05-07 10:34:11	ga_s2am_ard_3-2-1_53JPN_2020-05-07_final.stac-item
2020-07-24 11:33:09	ga_s2am_ard_3-2-1_51KYT_2020-07-24_final.stac-item
2021-01-29 10:24:19	ga_s2am_ard_3-2-1_53JRM_2021-01-29_final.stac-item
2021-02-02 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-02-02_final.stac-item
2021-04-02 10:34:15	ga_s2am_ard_3-2-1_53JQM_2021-04-02_final.stac-item
2021-04-03 11:46:34	ga_s2am_ard_3-2-1_50HNK_2021-04-03_final.stac-item
2021-04-12 10:34:13	ga_s2am_ard_3-2-1_53JQM_2021-04-12_final.stac-item
2021-04-15 10:45:16	ga_s2am_ard_3-2-1_53JMH_2021-04-15_final.stac-item
2021-05-24 11:13:29	ga_s2am_ard_3-2-1_51KZS_2021-05-24_final.stac-item
2021-06-11 10:34:37	ga_s2am_ard_3-2-1_53JPL_2021-06-11_final.stac-item
2021-08-27 10:24:42	ga_s2am_ard_3-2-1_53JQL_2021-08-27_final.stac-item
2021-10-09 10:34:38	ga_s2am_ard_3-2-1_53JQL_2021-10-09_final.stac-item
2021-11-28 10:34:07	ga_s2am_ard_3-2-1_53JPN_2021-11-28_final.stac-item
2022-04-02 11:26:28	ga_s2am_ard_3-2-1_51HWE_2022-04-02_final.stac-item
2022-04-02 11:26:31	ga_s2am_ard_3-2-1_51HVE_2022-04-02_final.stac-item
2022-04-07 10:34:22	ga_s2am_ard_3-2-1_53JPM_2022-04-07_final.stac-item
2022-04-24 10:24:45	ga_s2am_ard_3-2-1_53JQL_2022-04-24_final.stac-item
2022-04-27 10:34:27	ga_s2am_ard_3-2-1_53JPM_2022-04-27_final.stac-item
2022-05-21 11:52:26	ga_s2am_ard_3-2-1_50KQG_2022-05-21_final
2022-06-12 10:55:10	ga_s2am_ard_3-2-1_53JLK_2022-06-12_final.stac-item
2022-07-16 10:34:34	ga_s2am_ard_3-2-1_53JPM_2022-07-16_final.stac-item
2022-07-26 10:34:17	ga_s2am_ard_3-2-1_53JPN_2022-07-26_final.stac-item
2022-07-31 11:23:37	ga_s2am_ard_3-2-1_52KCA_2022-07-31_final.stac-item
2022-09-03 11:04:55	ga_s2am_ard_3-2-1_52JFR_2022-09-03_final.stac-item
2022-09-19 11:26:19	ga_s2am_ard_3-2-1_51JWF_2022-09-19_final.stac-item
2022-09-19 11:26:30	ga_s2am_ard_3-2-1_51HXE_2022-09-19_final.stac-item
2022-09-23 11:02:36	ga_s2am_ard_3-2-1_52KGE_2022-09-23_final.stac-item
2022-09-30 10:55:32	ga_s2am_ard_3-2-1_53JKH_2022-09-30_final.stac-item
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final
2023-03-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-03-27_final
2023-04-07 11:26:22	ga_s2am_ard_3-2-1_51HXE_2023-04-07_final
2023-04-12 10:34:07	ga_s2am_ard_3-2-1_53JPN_2023-04-12_final
2023-06-09 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-06-09_final
2023-06-16 11:23:39	ga_s2am_ard_3-2-1_52KBA_2023-06-16_final
2023-07-27 10:53:02	ga_s2am_ard_3-2-1_53KMS_2023-07-27_final
2023-09-08 11:05:18	ga_s2am_ard_3-2-1_52JFP_2023-09-08_final
2023-10-03 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-10-03_final
2023-10-03 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-10-03_final
2023-10-09 10:34:18	ga_s2am_ard_3-2-1_53JQM_2023-10-09_final
2024-03-18 11:47:07	ga_s2am_ard_3-2-1_50HNH_2024-03-18_final
2024-04-21 11:23:13	ga_s2am_ard_3-2-1_51KYT_2024-04-21_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

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