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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGL_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKS_2015-10-28_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JLL_2015-11-14_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKS_2015-11-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHM_2016-01-16_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKR_2016-03-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLG_2016-03-20_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-06-17_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNK_2016-09-06_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HQK_2016-09-06_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-10-02_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKT_2016-10-02_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKS_2016-10-12_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50JLL_2017-01-27_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HNJ_2017-02-03_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKM_2017-03-31_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JKP_2017-04-07_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JKP_2017-04-27_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-06-02_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGK_2017-06-19_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGL_2017-09-20_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNJ_2017-10-11_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLJ_2017-12-23_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMJ_2018-04-09_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNK_2018-04-09_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-04-28_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMJ_2018-09-19_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-02_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMH_2018-11-05_final
2018-11-08 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2018-11-08_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-01-23 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-01-23_final
2019-02-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2019-02-03_final
2019-02-06 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-02-06_final
2019-03-15 11:47:05	ga_s2am_ard_3-2-1_50HMH_2019-03-15_final
2019-03-15 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-03-15_final
2019-03-31 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-03-31_final
2019-04-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-04-03_final
2019-04-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2019-04-07_final
2019-06-12 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-06-12_final
2019-08-08 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-08-08_final
2019-09-17 12:05:51	ga_s2am_ard_3-2-1_50JLN_2019-09-17_final
2019-11-23 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final
2020-01-19 11:46:31	ga_s2am_ard_3-2-1_50HNK_2020-01-19_final
2020-02-18 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-02-18_final
2020-04-01 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-04-01_final
2020-09-05 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-09-05_final
2020-09-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2020-09-15_final
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-10-18 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-18_final
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final
2021-01-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-16_final
2021-01-19 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-01-19_final
2021-01-23 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-01-23_final
2021-01-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-23_final
2021-01-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-26_final
2021-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2021-02-12_final
2021-03-07 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-07_final
2021-03-07 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-03-07_final
2021-09-06 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-09-06_final
2021-09-10 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-09-10_final
2021-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-09-20_final
2021-09-26 12:05:01	ga_s2am_ard_3-2-1_50JKS_2021-09-26_final
2021-10-30 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-30_final
2021-11-22 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-11-22_final
2021-12-02 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-02_final
2022-01-01 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-01_final
2022-01-18 11:46:30	ga_s2am_ard_3-2-1_50HQK_2022-01-18_final
2022-03-09 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-03-09_final
2022-03-12 11:57:10	ga_s2am_ard_3-2-1_50HMH_2022-03-12_final
2022-04-08 11:47:07	ga_s2am_ard_3-2-1_50HNH_2022-04-08_final
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final
2022-06-20 11:57:35	ga_s2am_ard_3-2-1_50HLG_2022-06-20_final.stac-item
2022-09-01 12:05:09	ga_s2am_ard_3-2-1_50JKS_2022-09-01_final.stac-item
2022-09-21 12:05:34	ga_s2am_ard_3-2-1_50JKQ_2022-09-21_final.stac-item
2022-10-28 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-10-28_final.stac-item
2023-01-03 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-01-03_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-01-29_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_final.stac-item
2023-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-03-27_final.stac-item
2023-04-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-03_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-06-12 11:46:34	ga_s2am_ard_3-2-1_50HQK_2023-06-12_final.stac-item
2023-09-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2023-09-19_final.stac-item
2023-09-29 12:14:23	ga_s2am_ard_3-2-1_49KHP_2023-09-29_final.stac-item
2023-09-30 11:46:36	ga_s2am_ard_3-2-1_50HPK_2023-09-30_final.stac-item
2023-09-30 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2023-09-30_final.stac-item
2023-10-10 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-10-10_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-12-12 11:57:04	ga_s2am_ard_3-2-1_50HLH_2023-12-12_final.stac-item
2023-12-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2023-12-25_final.stac-item
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2024-01-04_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_2024-02-03_final.stac-item
2024-03-01 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-01_final.stac-item
2024-03-11 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-11_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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