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
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HMK_2016-02-12_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGQ_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPS_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPT_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KPU_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPT_2016-04-19_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQA_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLG_2016-05-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMJ_2016-05-22_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KLV_2016-10-12_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HNG_2016-11-02_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMG_2017-02-16_final.stac-item
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50JPL_2017-04-11_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HNK_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPJ_2017-05-24_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-21_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLT_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KLV_2017-10-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KMC_2017-10-17_final
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50JNM_2017-12-13_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMH_2017-12-23_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKR_2017-12-26_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKU_2018-03-09_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPG_2018-04-29_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPK_2018-04-29_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHS_2018-05-15_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPT_2018-05-19_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50KLU_2018-06-21_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPS_2018-07-08_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLA_2018-08-23_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-08-26_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNQ_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JPL_2018-08-27_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KLU_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50JPL_2018-10-23_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final
2018-11-22 11:36:13	ga_s2am_ard_3-2-1_50JQL_2018-11-22_final
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-21_final
2018-12-21 12:04:13	ga_s2am_ard_3-2-1_50KMU_2018-12-21_final
2019-01-01 11:34:31	ga_s2am_ard_3-2-1_50JRT_2019-01-01_final
2019-01-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-01-27_final
2019-02-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-02-16_final
2019-02-26 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-02-26_final
2019-06-29 12:06:09	ga_s2am_ard_3-2-1_50JLM_2019-06-29_final
2019-10-31 11:47:27	ga_s2am_ard_3-2-1_50HNG_2019-10-31_final.stac-item
2019-12-27 11:37:12	ga_s2am_ard_3-2-1_50HQG_2019-12-27_final.stac-item
2020-01-19 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-01-19_final
2020-02-01 11:52:55	ga_s2am_ard_3-2-1_50KQD_2020-02-01_final.stac-item
2020-07-03 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-07-03_final.stac-item
2020-08-16 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-08-16_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-10-28 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-10-28_final
2020-12-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2020-12-21_final.stac-item
2020-12-24 11:47:16	ga_s2am_ard_3-2-1_50HPG_2020-12-24_final.stac-item
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final
2021-01-23 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-23_final
2021-03-11 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-03-11_final.stac-item
2021-04-10 11:37:01	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-19 12:04:51	ga_s2am_ard_3-2-1_49JHM_2021-04-19_final
2021-04-29 12:03:53	ga_s2am_ard_3-2-1_50KLA_2021-04-29_final
2021-05-23 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-05-23_final
2021-06-09 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-09_final
2021-06-11 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-11_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-07-05 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-07-05_final
2021-07-08 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-07-08_final
2021-08-11 11:47:12	ga_s2am_ard_3-2-1_50HMH_2021-08-11_final
2021-08-11 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-11_final.stac-item
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final
2021-08-21 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-21_final
2021-09-16 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-09-16_final
2021-10-03 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-03_final.stac-item
2021-10-13 11:53:08	ga_s2am_ard_3-2-1_50KQD_2021-10-13_final.stac-item
2021-12-09 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final
2022-02-03 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-02-03_final
2022-03-12 11:57:26	ga_s2am_ard_3-2-1_50HMG_2022-03-12_final.stac-item
2022-06-13 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-06-13_final.stac-item
2022-10-18 11:53:06	ga_s2am_ard_3-2-1_50KQD_2022-10-18_final.stac-item
2022-11-17 11:53:05	ga_s2am_ard_3-2-1_50KQD_2022-11-17_final.stac-item
2023-01-26 11:53:16	ga_s2am_ard_3-2-1_50KPC_2023-01-26_final.stac-item
2023-04-16 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-04-16_final.stac-item
2023-07-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-07-19_final.stac-item
2023-07-21 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-07-21_final.stac-item
2023-10-09 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-09_final.stac-item
2023-10-16 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-10-16_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-19 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-12-19_final.stac-item
2024-02-07 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-02-07_final.stac-item
2024-02-26 12:13:39	ga_s2am_ard_3-2-1_49KHS_2024-02-26_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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