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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXH_2015-11-25_final
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYR_2016-01-24_final
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HYD_2016-04-30_final
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZQ_2016-05-23_final
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JFS_2016-06-26_final
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51JUN_2016-07-08_final
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_51KZP_2016-08-28_final
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTE_2016-09-13_final
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYS_2016-12-09_final
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-12-18_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51LZE_2017-02-10_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMM_2017-04-07_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQQ_2017-08-12_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KLU_2017-09-07_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51HUE_2017-09-08_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51HUE_2017-09-28_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HMH_2017-11-13_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNT_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNA_2017-12-03_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HXE_2017-12-11_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQH_2017-12-17_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXK_2017-12-24_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYB_2018-01-26_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXK_2018-02-02_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50JPL_2018-02-08_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JCM_2018-03-11_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50HQK_2018-03-27_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGL_2018-05-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUE_2018-06-05_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTQ_2018-06-08_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBS_2018-06-19_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JLN_2018-07-14_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JDM_2018-07-26_final
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51LYC_2018-08-01_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HYD_2018-09-27_final
2019-01-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2019-01-08_final
2019-03-25 11:43:50	ga_s2am_ard_3-2-1_50KQA_2019-03-25_final
2019-04-08 11:26:41	ga_s2am_ard_3-2-1_51HWD_2019-04-08_final
2019-05-11 11:33:16	ga_s2am_ard_3-2-1_51KWT_2019-05-11_final
2019-05-28 11:24:58	ga_s2am_ard_3-2-1_51JXL_2019-05-28_final
2019-06-18 10:55:49	ga_s2am_ard_3-2-1_52JFM_2019-06-18_final
2019-10-12 11:15:25	ga_s2am_ard_3-2-1_52JBP_2019-10-12_final
2019-10-12 11:15:42	ga_s2am_ard_3-2-1_51JYH_2019-10-12_final
2019-11-04 11:26:08	ga_s2am_ard_3-2-1_51JUG_2019-11-04_final
2019-12-08 11:04:53	ga_s2am_ard_3-2-1_52JCR_2019-12-08_final
2019-12-20 11:44:38	ga_s2am_ard_3-2-1_50JQS_2019-12-20_final
2020-03-07 11:06:07	ga_s2am_ard_3-2-1_52JDL_2020-03-07_final
2020-03-29 11:46:26	ga_s2am_ard_3-2-1_50HQK_2020-03-29_final
2020-05-14 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-05-14_final
2020-05-24 12:04:12	ga_s2am_ard_3-2-1_49KHR_2020-05-24_final
2020-05-25 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-05-25_final
2020-07-04 11:34:10	ga_s2am_ard_3-2-1_51KXP_2020-07-04_final
2020-07-13 12:03:19	ga_s2am_ard_3-2-1_50KNC_2020-07-13_final
2020-07-17 11:46:00	ga_s2am_ard_3-2-1_51JTG_2020-07-17_final
2020-09-28 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-09-28_final
2021-01-04 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-01-04_final
2021-01-19 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-01-19_final
2021-01-30 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-01-30_final
2021-02-18 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-02-18_final
2021-03-21 11:33:26	ga_s2am_ard_3-2-1_51KWS_2021-03-21_final
2021-04-09 12:05:47	ga_s2am_ard_3-2-1_50JLN_2021-04-09_final
2021-04-14 11:15:04	ga_s2am_ard_3-2-1_51JYK_2021-04-14_final
2021-06-02 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-02_final
2021-06-08 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-06-08_final
2021-06-08 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-06-08_final
2021-06-09 11:34:47	ga_s2am_ard_3-2-1_51JUM_2021-06-09_final
2021-06-13 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-06-13_final
2021-06-16 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-06-16_final
2021-06-23 11:16:07	ga_s2am_ard_3-2-1_52JBL_2021-06-23_final
2021-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-08-28 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-08-28_final
2021-11-06 11:34:32	ga_s2am_ard_3-2-1_51JVN_2021-11-06_final
2021-11-19 11:44:13	ga_s2am_ard_3-2-1_51KUP_2021-11-19_final
2021-11-24 10:55:56	ga_s2am_ard_3-2-1_52JGL_2021-11-24_final
2022-03-03 11:22:59	ga_s2am_ard_3-2-1_51KYU_2022-03-03_final
2022-04-15 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-04-15_final
2022-05-28 11:44:24	ga_s2am_ard_3-2-1_51KTP_2022-05-28_final
2022-06-01 11:23:08	ga_s2am_ard_3-2-1_51KXU_2022-06-01_final
2022-06-21 11:23:12	ga_s2am_ard_3-2-1_51KXU_2022-06-21_final
2022-07-21 11:26:26	ga_s2am_ard_3-2-1_51JVF_2022-07-21_final
2022-07-30 11:55:12	ga_s2am_ard_3-2-1_50JPR_2022-07-30_final
2022-08-17 11:15:55	ga_s2am_ard_3-2-1_51JXH_2022-08-17_final
2022-08-26 11:43:31	ga_s2am_ard_3-2-1_51KTT_2022-08-26_final
2022-09-29 11:23:28	ga_s2am_ard_3-2-1_52KBB_2022-09-29_final
2022-10-02 11:33:41	ga_s2am_ard_3-2-1_51KUS_2022-10-02_final
2022-12-20 12:04:47	ga_s2am_ard_3-2-1_50JMS_2022-12-20_final
2022-12-22 11:04:16	ga_s2am_ard_3-2-1_52JET_2022-12-22_final
2023-03-24 11:41:54	ga_s2am_ard_3-2-1_51LWC_2023-03-24_final
2023-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-05-09_final
2023-07-29 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-07-29_final
2023-08-01 11:44:11	ga_s2am_ard_3-2-1_50KQV_2023-08-01_final
2023-08-21 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2023-08-21_final
2023-12-11 10:45:38	ga_s2am_ard_3-2-1_52JGM_2023-12-11_final
2023-12-19 11:46:11	ga_s2am_ard_3-2-1_50JQL_2023-12-19_final
2024-01-22 11:23:25	ga_s2am_ard_3-2-1_52KBA_2024-01-22_final
2024-01-26 11:05:17	ga_s2am_ard_3-2-1_52JCP_2024-01-26_final
2024-02-24 11:36:18	ga_s2am_ard_3-2-1_50JQL_2024-02-24_final
2024-03-13 10:56:04	ga_s2am_ard_3-2-1_52JEL_2024-03-13_final
2024-03-22 11:27:03	ga_s2am_ard_3-2-1_51HUC_2024-03-22_final
2024-04-25 11:04:53	ga_s2am_ard_3-2-1_52JDR_2024-04-25_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

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