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 s3cloudless from:

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNN_2015-12-04_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNM_2016-01-20_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JQN_2016-02-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HQK_2016-04-19_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JPL_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JPL_2016-06-05_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JML_2016-08-30_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HPG_2017-02-13_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KKA_2017-02-19_final
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGM_2017-09-20_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-11-06_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JKN_2018-02-01_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLN_2018-02-11_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-04-25_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKN_2018-09-09_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNG_2018-11-05_final.stac-item
2018-12-01 12:03:18	ga_s2am_ard_3-2-1_50KLC_2018-12-01_final
2018-12-14 12:15:02	ga_s2am_ard_3-2-1_49JGL_2018-12-14_final
2019-01-17 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-01-17_final
2019-02-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-02_final
2019-03-12 11:37:16	ga_s2am_ard_3-2-1_50HPG_2019-03-12_final.stac-item
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_50KKA_2019-03-14_final
2019-04-07 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-04-07_final
2019-05-03 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-03_final
2019-05-17 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-17_final
2019-07-06 11:56:19	ga_s2am_ard_3-2-1_50JKM_2019-07-06_final
2019-07-16 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-07-16_final
2019-07-20 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-07-20_final
2019-10-14 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-10-14_final
2019-10-27 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-10-27_final
2020-02-04 12:05:36	ga_s2am_ard_3-2-1_49JGJ_2020-02-04_final
2020-04-18 11:46:19	ga_s2am_ard_3-2-1_50JPL_2020-04-18_final
2020-05-18 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-18_final
2020-06-30 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-06-30_final
2020-07-14 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-07-14_final
2020-09-05 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-09-05_final
2020-09-15 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-09-15_final
2020-12-07 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-07_final
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final
2020-12-14 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-12-14_final
2021-01-02 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-01-02_final
2021-01-16 11:56:19	ga_s2am_ard_3-2-1_50JNL_2021-01-16_final
2021-01-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-19_final
2021-01-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-26_final
2021-03-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-03-01_final
2021-03-07 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-07_final
2021-03-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-03-07_final
2021-03-23 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2021-03-23_final
2021-04-22 12:14:55	ga_s2am_ard_3-2-1_49JFM_2021-04-22_final
2021-04-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2021-04-23_final
2021-05-13 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-05-13_final
2021-05-23 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-05-23_final
2021-05-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-06-18_final
2021-07-19 11:37:10	ga_s2am_ard_3-2-1_50HPH_2021-07-19_final
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final
2021-08-28 11:37:19	ga_s2am_ard_3-2-1_50HQG_2021-08-28_final.stac-item
2021-09-10 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-09-10_final
2021-11-08 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-11-08_final
2021-11-15 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-11-15_final
2021-12-02 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-12-02_final
2021-12-05 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-12-05_final
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-02-07 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-02-07_final
2022-04-11 11:55:44	ga_s2am_ard_3-2-1_50JLP_2022-04-11_final
2022-06-07 11:46:51	ga_s2am_ard_3-2-1_50HQJ_2022-06-07_final
2022-06-10 11:55:55	ga_s2am_ard_3-2-1_50JKP_2022-06-10_final
2022-06-23 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-06-23_final
2022-07-14 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-07-14_final
2022-07-20 11:55:32	ga_s2am_ard_3-2-1_50JNQ_2022-07-20_final
2022-08-12 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-12_final
2022-09-01 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-09-01_final.stac-item
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-10-04 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-10-04_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2022-12-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-12-03_final.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final.stac-item
2023-03-04 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-03-04_final.stac-item
2023-03-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-31_final.stac-item
2023-04-03 11:44:44	ga_s2am_ard_3-2-1_50JRS_2023-04-03_final.stac-item
2023-04-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-09_final.stac-item
2023-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-05-19_final.stac-item
2023-05-26 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-05-26_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-28_final.stac-item
2023-07-08 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-08_final.stac-item
2023-07-12 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-07-12_final.stac-item
2023-07-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-07-19_final.stac-item
2023-08-01 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-01_final.stac-item
2023-11-02 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-11-02_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-11-05_final.stac-item
2023-11-29 11:46:29	ga_s2am_ard_3-2-1_50HNK_2023-11-29_final.stac-item
2023-12-08 12:13:34	ga_s2am_ard_3-2-1_50KKB_2023-12-08_final.stac-item
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_final.stac-item
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final.stac-item
2024-03-31 11:56:17	ga_s2am_ard_3-2-1_50JNL_2024-03-31_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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