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
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JFM_2016-01-09_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHP_2016-01-09_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLM_2016-02-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMR_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMT_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQN_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLG_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMT_2016-04-15_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JLM_2016-04-15_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JQN_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JRT_2016-04-29_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQQ_2016-05-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPT_2016-07-08_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-08-17_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JPQ_2016-10-09_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-31_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49JHM_2017-02-09_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HNG_2017-02-20_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JPQ_2017-02-26_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HLG_2017-03-05_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMG_2017-03-05_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-07-09_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JML_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNP_2017-08-12_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KGP_2017-12-16_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50JRS_2018-01-06_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQG_2018-01-26_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2018-01-28_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLH_2018-05-19_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMH_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMG_2018-06-08_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPS_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMH_2018-07-11_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-24_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPR_2018-08-07_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPS_2018-08-07_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JML_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JQT_2018-08-10_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQG_2018-09-13_final.stac-item
2018-12-21 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-21_final
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final
2019-01-03 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-01-03_final
2019-01-31 11:37:23	ga_s2am_ard_3-2-1_50HNG_2019-01-31_final.stac-item
2019-03-05 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-03-05_final.stac-item
2019-05-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-05-24_final.stac-item
2019-06-03 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-06-03_final
2019-06-03 11:47:23	ga_s2am_ard_3-2-1_50HNG_2019-06-03_final.stac-item
2019-07-16 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-16_final.stac-item
2019-08-12 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-08-12_final.stac-item
2019-08-12 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-08-12_final.stac-item
2019-11-20 11:47:22	ga_s2am_ard_3-2-1_50HNG_2019-11-20_final.stac-item
2019-11-20 11:47:25	ga_s2am_ard_3-2-1_50HMG_2019-11-20_final.stac-item
2019-12-20 11:44:39	ga_s2am_ard_3-2-1_50JPT_2019-12-20_final
2020-02-05 11:34:29	ga_s2am_ard_3-2-1_50JRT_2020-02-05_final
2020-03-09 11:44:34	ga_s2am_ard_3-2-1_50JPT_2020-03-09_final
2020-03-09 11:44:48	ga_s2am_ard_3-2-1_50JPS_2020-03-09_final
2020-03-09 11:45:03	ga_s2am_ard_3-2-1_50JPR_2020-03-09_final
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-04-25 11:37:23	ga_s2am_ard_3-2-1_50HPG_2020-04-25_final.stac-item
2020-04-25 11:37:28	ga_s2am_ard_3-2-1_50HNG_2020-04-25_final.stac-item
2020-06-24 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-24_final.stac-item
2020-07-14 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-07-14_final
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final
2020-11-24 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2020-11-24_final
2021-01-03 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-01-03_final
2021-03-04 11:45:07	ga_s2am_ard_3-2-1_50JPR_2021-03-04_final
2021-03-04 11:45:11	ga_s2am_ard_3-2-1_50JNR_2021-03-04_final
2021-03-14 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-14_final.stac-item
2021-05-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-05-23_final
2021-06-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-06-02_final
2021-07-02 11:44:54	ga_s2am_ard_3-2-1_50JPS_2021-07-02_final
2021-07-02 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-07-02_final.stac-item
2021-08-01 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-08-01_final.stac-item
2021-08-11 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-11_final.stac-item
2021-08-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-17_final
2021-08-17 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-17_final
2021-08-21 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2021-08-21_final
2021-08-21 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-08-21_final.stac-item
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final.stac-item
2021-12-16 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-12-16_final.stac-item
2022-01-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-28_final.stac-item
2022-08-03 11:36:37	ga_s2am_ard_3-2-1_50JPL_2022-08-03_final
2023-02-12 11:46:15	ga_s2am_ard_3-2-1_50JML_2023-02-12_final.stac-item
2023-04-13 11:44:45	ga_s2am_ard_3-2-1_50JPT_2023-04-13_final.stac-item
2023-09-17 11:34:40	ga_s2am_ard_3-2-1_50JRT_2023-09-17_final.stac-item
2023-09-27 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-09-27_final.stac-item
2023-10-27 11:34:37	ga_s2am_ard_3-2-1_50JRT_2023-10-27_final.stac-item
2024-01-08 11:44:26	ga_s2am_ard_3-2-1_50JRT_2024-01-08_final.stac-item
2024-01-25 11:36:57	ga_s2am_ard_3-2-1_50HQH_2024-01-25_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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