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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHM_2015-11-27_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGN_2016-01-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGL_2016-03-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLK_2016-04-02_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQJ_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-29_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HLJ_2016-06-11_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLK_2016-07-01_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50JPL_2016-10-16_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HLK_2017-01-27_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_50KKA_2017-02-22_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JPL_2017-05-04_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JML_2017-07-26_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HPH_2017-07-30_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HQH_2017-10-18_final
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50JNL_2017-12-13_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JLQ_2018-02-01_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-02-24_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JKN_2018-03-03_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JHM_2018-05-25_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JLM_2018-06-24_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JPP_2018-06-28_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JNL_2018-07-18_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKQ_2018-10-12_final
2018-12-18 11:55:38	ga_s2am_ard_3-2-1_50JKP_2018-12-18_final
2018-12-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-12-25_final.stac-item
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-02-06 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-02-06_final
2019-02-16 11:56:07	ga_s2am_ard_3-2-1_50JLM_2019-02-16_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_50KKA_2019-02-19_final
2019-03-15 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-03-15_final.stac-item
2019-10-21 11:45:10	ga_s2am_ard_3-2-1_50JPR_2019-10-21_final
2019-10-31 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-31_final
2019-11-13 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-11-13_final
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2020-01-06 11:36:44	ga_s2am_ard_3-2-1_50HPJ_2020-01-06_final
2020-02-01 11:56:41	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final
2020-02-24 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-02-24_final
2020-03-02 11:55:30	ga_s2am_ard_3-2-1_50JNP_2020-03-02_final
2020-03-28 12:14:23	ga_s2am_ard_3-2-1_49KGP_2020-03-28_final
2020-04-07 12:13:51	ga_s2am_ard_3-2-1_50KKA_2020-04-07_final
2020-05-21 11:54:57	ga_s2am_ard_3-2-1_50JNS_2020-05-21_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-12-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2020-12-23_final
2020-12-27 11:55:59	ga_s2am_ard_3-2-1_50JKN_2020-12-27_final
2020-12-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-12-30_final
2021-01-16 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-01-16_final
2021-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-21_final
2021-02-28 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-02-28_final
2021-03-20 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-20_final
2021-04-06 11:56:07	ga_s2am_ard_3-2-1_50JLM_2021-04-06_final
2021-06-21 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-21_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2021-10-23 11:56:23	ga_s2am_ard_3-2-1_50JNL_2021-10-23_final
2021-12-15 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-12-15_final
2021-12-29 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-12-29_final
2022-01-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-01-17_final
2022-02-04 11:36:19	ga_s2am_ard_3-2-1_50JQL_2022-02-04_final
2022-03-05 12:05:45	ga_s2am_ard_3-2-1_50JKP_2022-03-05_final
2022-03-18 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-18_final
2022-06-14 11:36:59	ga_s2am_ard_3-2-1_50HQJ_2022-06-14_final
2022-07-24 11:36:59	ga_s2am_ard_3-2-1_50HQJ_2022-07-24_final
2022-08-06 11:47:13	ga_s2am_ard_3-2-1_50HPH_2022-08-06_final
2022-08-12 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-08-12_final
2022-09-01 12:04:11	ga_s2am_ard_3-2-1_49KHR_2022-09-01_final.stac-item
2022-09-28 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-09-28_final.stac-item
2022-11-03 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-11-03_final.stac-item
2022-11-11 11:36:37	ga_s2am_ard_3-2-1_50HQK_2022-11-11_final.stac-item
2022-11-17 11:55:51	ga_s2am_ard_3-2-1_50JNN_2022-11-17_final.stac-item
2023-01-09 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-01-09_final.stac-item
2023-01-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-01-19_final.stac-item
2023-01-29 12:05:27	ga_s2am_ard_3-2-1_49JGK_2023-01-29_final.stac-item
2023-03-04 11:45:51	ga_s2am_ard_3-2-1_50JNN_2023-03-04_final.stac-item
2023-03-04 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-03-04_final.stac-item
2023-03-24 11:44:29	ga_s2am_ard_3-2-1_50JRT_2023-03-24_final.stac-item
2023-04-22 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-22_final.stac-item
2023-05-02 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-05-02_final.stac-item
2023-05-12 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-05-12_final.stac-item
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final.stac-item
2023-07-05 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-05_final.stac-item
2023-08-21 11:46:14	ga_s2am_ard_3-2-1_50JNM_2023-08-21_final.stac-item
2023-09-17 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-09-17_final.stac-item
2023-09-26 12:04:01	ga_s2am_ard_3-2-1_50KKA_2023-09-26_final.stac-item
2023-10-03 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-10-03_final.stac-item
2023-10-13 11:55:40	ga_s2am_ard_3-2-1_50JLP_2023-10-13_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final.stac-item
2023-11-05 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-11-05_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2024-01-24 12:05:58	ga_s2am_ard_3-2-1_50JLM_2024-01-24_final.stac-item
2024-02-13 12:05:12	ga_s2am_ard_3-2-1_49JGL_2024-02-13_final.stac-item
2024-02-20 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2024-02-20_final.stac-item
2024-02-23 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-02-23_final.stac-item
2024-03-21 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-03-21_final.stac-item
2024-04-06 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-04-06_final.stac-item
2024-04-10 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-04-10_final.stac-item
2024-05-24 11:37:02	ga_s2am_ard_3-2-1_50HQH_2024-05-24_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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