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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2016-01-26_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPK_2016-02-06_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-04-25_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLL_2016-08-30_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPH_2017-03-25_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-30_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HNK_2017-12-03_final
2017-12-06 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-06_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLH_2017-12-23_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPJ_2018-04-09_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPK_2018-04-16_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKN_2018-04-25_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPK_2018-05-06_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JKM_2018-05-12_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPG_2018-06-08_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPG_2018-06-25_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKP_2018-07-11_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-07-14_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPH_2018-09-06_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-12-01 12:05:32	ga_s2am_ard_3-2-1_50JKP_2018-12-01_final
2018-12-05 11:46:58	ga_s2am_ard_3-2-1_50HNH_2018-12-05_final
2018-12-18 11:57:00	ga_s2am_ard_3-2-1_50HLH_2018-12-18_final
2018-12-28 11:55:49	ga_s2am_ard_3-2-1_50JLN_2018-12-28_final
2018-12-31 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-12-31_final.stac-item
2019-01-04 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-01-04_final
2019-02-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-02-03_final
2019-03-08 11:56:24	ga_s2am_ard_3-2-1_50HNK_2019-03-08_final
2019-06-30 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-30_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final
2019-10-24 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-10-24_final
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final
2019-11-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2019-12-06 12:05:38	ga_s2am_ard_3-2-1_50JKP_2019-12-06_final
2019-12-06 12:05:49	ga_s2am_ard_3-2-1_50JLN_2019-12-06_final
2019-12-06 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-12-06_final
2020-01-02 11:57:04	ga_s2am_ard_3-2-1_50HLH_2020-01-02_final
2020-01-09 11:46:28	ga_s2am_ard_3-2-1_50HPK_2020-01-09_final
2020-01-19 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-01-19_final
2020-02-18 11:46:27	ga_s2am_ard_3-2-1_50HPK_2020-02-18_final
2020-04-01 11:55:42	ga_s2am_ard_3-2-1_50JKP_2020-04-01_final
2020-07-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-07-07_final.stac-item
2020-09-05 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-09-05_final
2020-10-25 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-25_final
2020-12-11 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-12-11_final.stac-item
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-01-29 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-01-29_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-02-28 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-02-28_final
2021-03-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-03-20_final
2021-03-31 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-03-31_final
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final
2021-04-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-04-29_final.stac-item
2021-05-06 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-05-06_final
2021-05-19 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-05-22 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-05-22_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final
2021-06-15 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-06-15_final
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final
2022-02-20 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-02-20_final
2022-04-21 11:56:04	ga_s2am_ard_3-2-1_50JKN_2022-04-21_final
2022-04-28 11:47:07	ga_s2am_ard_3-2-1_50HPH_2022-04-28_final
2022-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-05-11_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-08-02_final
2022-09-11 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-09-11_final.stac-item
2022-09-25 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-09-25_final.stac-item
2022-10-31 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-10-31_final.stac-item
2022-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2022-12-20_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-19 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-01-19_final.stac-item
2023-04-13 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-04-13_final.stac-item
2023-05-29 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-05-29_final.stac-item
2023-06-19 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-19_final.stac-item
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final.stac-item
2023-09-19 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-09-19_final.stac-item
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-10-13 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-10-13_final.stac-item
2023-11-02 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-11-02_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final.stac-item
2024-01-11 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-11_final.stac-item
2024-01-21 11:56:44	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-07 11:47:10	ga_s2am_ard_3-2-1_50HLH_2024-02-07_final.stac-item
2024-02-07 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-02-07_final.stac-item
2024-03-04 12:05:41	ga_s2am_ard_3-2-1_50JKP_2024-03-04_final.stac-item
2024-05-03 12:03:47	ga_s2am_ard_3-2-1_49KHS_2024-05-03_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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