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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HLH_2015-11-21_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGP_2016-02-08_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_49KGR_2016-02-18_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKT_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNG_2016-03-20_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JGL_2016-03-29_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KGQ_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKT_2016-04-15_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQJ_2016-06-25_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-06-27_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-07-07_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JKP_2016-08-10_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JLN_2016-11-01_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPK_2016-12-22_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HMJ_2017-05-17_final
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50JLM_2017-06-16_final
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-08-31_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMH_2018-03-10_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-04-15_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JLP_2018-07-01_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JML_2018-07-11_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKR_2018-08-03_final
2018-12-21 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-21_final
2019-01-14 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-01-14_final
2019-02-16 11:56:18	ga_s2am_ard_3-2-1_50JML_2019-02-16_final
2019-03-25 11:47:01	ga_s2am_ard_3-2-1_50HPH_2019-03-25_final
2019-05-07 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-05-07_final
2019-05-07 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-05-07_final
2019-05-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-05-14_final
2019-06-16 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-06-16_final
2019-06-29 12:05:42	ga_s2am_ard_3-2-1_50JLP_2019-06-29_final
2019-07-20 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-07-20_final.stac-item
2019-08-21 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-08-21_final
2019-10-04 11:56:24	ga_s2am_ard_3-2-1_50JML_2019-10-04_final
2019-10-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-10-08_final.stac-item
2019-10-17 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-10-17_final
2019-10-24 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-10-24_final
2019-11-09 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-11-09_final
2019-12-16 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-16_final
2019-12-23 11:57:00	ga_s2am_ard_3-2-1_50HMH_2019-12-23_final
2020-02-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2020-02-15_final
2020-03-05 12:05:33	ga_s2am_ard_3-2-1_50JLP_2020-03-05_final
2020-03-25 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2020-03-25_final
2020-07-27 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-07-27_final
2020-08-19 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-08-19_final
2020-09-05 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-09-05_final
2020-09-14 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-09-14_final
2020-09-14 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-09-14_final
2020-10-31 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-10-31_final
2020-11-03 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-11-03_final
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final
2021-01-13 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-01-13_final
2021-01-29 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-01-29_final
2021-02-28 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-02-28_final
2021-03-21 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-03-21_final
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final
2021-04-19 12:05:32	ga_s2am_ard_3-2-1_50JLP_2021-04-19_final
2021-05-06 11:55:45	ga_s2am_ard_3-2-1_50JKP_2021-05-06_final
2021-05-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-05-19_final.stac-item
2021-06-11 12:14:22	ga_s2am_ard_3-2-1_49KHP_2021-06-11_final
2021-06-25 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-06-25_final
2021-07-01 12:15:14	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final
2021-09-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-09-06_final
2021-09-23 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-09-23_final
2021-10-16 12:05:43	ga_s2am_ard_3-2-1_50JLP_2021-10-16_final
2021-11-25 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-11-25_final
2021-11-26 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-11-26_final
2022-01-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-01-17_final
2022-01-24 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-01-24_final
2022-02-24 11:36:40	ga_s2am_ard_3-2-1_50HPK_2022-02-24_final
2022-04-28 11:47:19	ga_s2am_ard_3-2-1_50HLH_2022-04-28_final
2022-05-31 11:56:19	ga_s2am_ard_3-2-1_50JLM_2022-05-31_final
2022-07-30 11:57:19	ga_s2am_ard_3-2-1_50HLH_2022-07-30_final
2022-09-14 12:14:04	ga_s2am_ard_3-2-1_49KHR_2022-09-14_final.stac-item
2022-12-30 12:05:36	ga_s2am_ard_3-2-1_50JLP_2022-12-30_final.stac-item
2023-01-13 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-01-13_final.stac-item
2023-02-09 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-02-09_final.stac-item
2023-02-12 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-02-12_final.stac-item
2023-03-20 12:05:36	ga_s2am_ard_3-2-1_50JLP_2023-03-20_final.stac-item
2023-04-06 11:56:22	ga_s2am_ard_3-2-1_50JML_2023-04-06_final.stac-item
2023-04-22 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-22_final.stac-item
2023-07-15 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-15_final.stac-item
2023-10-06 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2023-10-06_final.stac-item
2023-10-23 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-10-23_final.stac-item
2023-11-05 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2023-11-05_final.stac-item
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final.stac-item
2023-12-09 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2023-12-09_final.stac-item
2024-01-01 11:56:19	ga_s2am_ard_3-2-1_50JML_2024-01-01_final.stac-item
2024-01-08 11:46:36	ga_s2am_ard_3-2-1_50HMK_2024-01-08_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-01-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2024-01-27_final.stac-item
2024-02-03 12:05:33	ga_s2am_ard_3-2-1_50JLP_2024-02-03_final.stac-item
2024-03-21 11:55:43	ga_s2am_ard_3-2-1_50JLP_2024-03-21_final.stac-item
2024-03-25 11:36:59	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final.stac-item
2024-04-20 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2024-04-20_final.stac-item
2024-04-23 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2024-04-23_final.stac-item
2024-05-14 11:37:06	ga_s2am_ard_3-2-1_50HQH_2024-05-14_nrt.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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