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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50HLK_2015-12-24_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JLL_2015-12-24_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKA_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HNK_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNM_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGN_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHQ_2016-03-09_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQK_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQN_2016-03-20_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-08_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHP_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JMT_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-12-14_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2016-12-21_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLS_2017-01-30_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-01-30_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-12_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_50JPL_2017-03-02_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGL_2017-03-14_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JMR_2017-07-19_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JMS_2017-07-19_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-08-01_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-09-30_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKB_2017-11-19_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final
2019-01-31 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-01-31_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-02-09_final
2019-02-09 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2019-02-09_final
2019-02-26 11:56:21	ga_s2am_ard_3-2-1_50JLL_2019-02-26_final
2019-03-02 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-02_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-10-27 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-27_final
2019-11-26 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2019-11-26_final
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final
2020-01-15 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-15_final
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_50KKA_2020-04-17_final
2020-04-17 12:13:58	ga_s2am_ard_3-2-1_49KGR_2020-04-17_final
2020-04-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2020-04-17_final
2020-07-26 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-26_final
2020-08-15 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-15_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-01_final
2020-09-04 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-09-04_final
2020-09-04 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-04_final
2020-09-08 11:56:26	ga_s2am_ard_3-2-1_50JML_2020-09-08_final
2020-09-15 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-09-15_final
2020-09-18 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-09-18_final
2020-11-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2020-11-10_final
2021-09-10 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-09-10_final
2021-10-17 11:37:12	ga_s2am_ard_3-2-1_50HPH_2021-10-17_final
2021-12-22 11:56:12	ga_s2am_ard_3-2-1_50JLM_2021-12-22_final
2022-03-12 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-05-05 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-05-05_final
2022-06-24 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-06-24_final
2022-08-19 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-19_final
2022-08-29 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-08-29_final
2022-09-25 11:46:26	ga_s2am_ard_3-2-1_50JPL_2022-09-25_final.stac-item
2022-11-20 12:06:05	ga_s2am_ard_3-2-1_50JLM_2022-11-20_final.stac-item
2022-12-01 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-12-01_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-02-09 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-02-09_final.stac-item
2023-03-07 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-03-07_final.stac-item
2023-03-10 12:05:59	ga_s2am_ard_3-2-1_50JLM_2023-03-10_final.stac-item
2023-03-17 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-03-17_final.stac-item
2023-05-16 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-16_final.stac-item
2023-05-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2023-05-16_final.stac-item
2023-05-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2023-05-16_final.stac-item
2023-06-09 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-06-09_final.stac-item
2023-06-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-25_final.stac-item
2023-06-25 11:57:12	ga_s2am_ard_3-2-1_50HLH_2023-06-25_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-08-14 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-14_final.stac-item
2023-08-24 11:56:17	ga_s2am_ard_3-2-1_50JLM_2023-08-24_final.stac-item
2023-08-24 11:56:24	ga_s2am_ard_3-2-1_50JNL_2023-08-24_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-11-15 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-11-15_final.stac-item
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final.stac-item
2023-11-25 12:05:59	ga_s2am_ard_3-2-1_50JLM_2023-11-25_final.stac-item
2023-11-29 11:46:54	ga_s2am_ard_3-2-1_50HPH_2023-11-29_final.stac-item
2023-12-02 11:56:17	ga_s2am_ard_3-2-1_50JLL_2023-12-02_final.stac-item
2023-12-02 11:57:12	ga_s2am_ard_3-2-1_50HMG_2023-12-02_final.stac-item
2023-12-22 11:56:14	ga_s2am_ard_3-2-1_50JNL_2023-12-22_final.stac-item
2024-01-11 11:56:20	ga_s2am_ard_3-2-1_50JLL_2024-01-11_final.stac-item
2024-01-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2024-01-15_final.stac-item
2024-01-15 11:36:56	ga_s2am_ard_3-2-1_50HQH_2024-01-15_final.stac-item
2024-01-25 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2024-01-25_final.stac-item
2024-02-17 11:47:00	ga_s2am_ard_3-2-1_50HPH_2024-02-17_final.stac-item
2024-03-01 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-01_final.stac-item
2024-03-11 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-03-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-27_final.stac-item
2024-03-28 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-28_final.stac-item
2024-04-04 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-04-04_final.stac-item
2024-04-07 11:47:02	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-04-13 12:06:06	ga_s2am_ard_3-2-1_50JLM_2024-04-13_final.stac-item
2024-04-20 11:57:13	ga_s2am_ard_3-2-1_50HLH_2024-04-20_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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