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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQA_2016-01-03_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUP_2016-01-20_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51JWN_2016-02-06_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPP_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JWN_2016-03-07_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLP_2016-03-16_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGN_2016-04-18_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JXF_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51JTK_2016-04-29_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2016-05-12_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JRS_2016-05-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_50KKV_2016-06-07_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KUQ_2016-11-05_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51JUN_2016-11-22_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUQ_2016-12-05_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUP_2016-12-12_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUQ_2016-12-15_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKB_2016-12-31_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KUP_2017-02-10_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KUP_2017-02-20_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQG_2017-03-12_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMG_2017-07-03_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-01_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUP_2017-11-07_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51JYK_2017-11-21_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-03-06_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KTU_2018-03-20_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPG_2018-08-14_final.stac-item
2018-12-02 11:34:09	ga_s2am_ard_3-2-1_51KUP_2018-12-02_final
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_51KTU_2018-12-25_final
2018-12-26 11:15:03	ga_s2am_ard_3-2-1_51JYK_2018-12-26_final
2018-12-29 11:24:12	ga_s2am_ard_3-2-1_51JZN_2018-12-29_final
2019-01-04 11:44:04	ga_s2am_ard_3-2-1_50KPV_2019-01-04_final
2019-01-05 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2019-01-05_final
2019-01-31 11:34:14	ga_s2am_ard_3-2-1_51KUP_2019-01-31_final
2019-03-18 11:52:56	ga_s2am_ard_3-2-1_50KRD_2019-03-18_final
2019-04-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-04-20_final
2019-06-26 11:53:07	ga_s2am_ard_3-2-1_50KQD_2019-06-26_final.stac-item
2019-09-18 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2019-09-18_final
2019-11-07 11:34:39	ga_s2am_ard_3-2-1_51JTN_2019-11-07_final
2019-11-10 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2019-11-10_final
2019-11-20 11:44:14	ga_s2am_ard_3-2-1_51KUP_2019-11-20_final
2019-11-23 11:52:59	ga_s2am_ard_3-2-1_50KRD_2019-11-23_final
2019-11-23 11:54:45	ga_s2am_ard_3-2-1_50JLT_2019-11-23_final
2019-12-14 11:24:18	ga_s2am_ard_3-2-1_51JYN_2019-12-14_final
2019-12-14 11:24:36	ga_s2am_ard_3-2-1_51JXM_2019-12-14_final
2019-12-21 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2019-12-21_final
2020-01-06 11:34:26	ga_s2am_ard_3-2-1_51JUN_2020-01-06_final
2020-01-06 11:37:12	ga_s2am_ard_3-2-1_50HQG_2020-01-06_final.stac-item
2020-02-12 11:27:03	ga_s2am_ard_3-2-1_51HVB_2020-02-12_final.stac-item
2020-02-25 11:34:12	ga_s2am_ard_3-2-1_51KUP_2020-02-25_final
2020-03-06 11:34:32	ga_s2am_ard_3-2-1_51JTN_2020-03-06_final
2020-04-08 11:43:01	ga_s2am_ard_3-2-1_51KTU_2020-04-08_final
2020-12-14 11:44:24	ga_s2am_ard_3-2-1_51JUN_2020-12-14_final
2020-12-14 11:47:14	ga_s2am_ard_3-2-1_50HPG_2020-12-14_final.stac-item
2020-12-27 11:53:53	ga_s2am_ard_3-2-1_50KNA_2020-12-27_final
2021-01-03 11:44:31	ga_s2am_ard_3-2-1_50JRT_2021-01-03_final
2021-01-04 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2021-01-04_final
2021-02-19 11:34:17	ga_s2am_ard_3-2-1_51KUP_2021-02-19_final
2021-05-26 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-05-26_final.stac-item
2021-06-23 11:15:55	ga_s2am_ard_3-2-1_51JYG_2021-06-23_final
2021-09-30 11:47:21	ga_s2am_ard_3-2-1_50HPG_2021-09-30_final.stac-item
2021-12-09 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2021-12-09_final
2022-01-25 11:34:36	ga_s2am_ard_3-2-1_51JTN_2022-01-25_final
2022-01-29 11:15:10	ga_s2am_ard_3-2-1_51JYK_2022-01-29_final
2022-02-27 11:44:16	ga_s2am_ard_3-2-1_51KUP_2022-02-27_final
2022-04-15 11:36:46	ga_s2am_ard_3-2-1_51HUD_2022-04-15_final
2022-08-16 11:43:16	ga_s2am_ard_3-2-1_51KTU_2022-08-16_final
2022-08-27 11:17:08	ga_s2am_ard_3-2-1_51HXC_2022-08-27_final.stac-item
2022-11-01 11:34:21	ga_s2am_ard_3-2-1_51KUP_2022-11-01_final.stac-item
2022-11-14 11:44:30	ga_s2am_ard_3-2-1_51JUN_2022-11-14_final.stac-item
2022-11-17 11:53:22	ga_s2am_ard_3-2-1_50KQC_2022-11-17_final.stac-item
2022-11-24 11:47:06	ga_s2am_ard_3-2-1_50HNH_2022-11-24_final.stac-item
2022-12-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-12-04_final.stac-item
2022-12-04 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2022-12-04_final.stac-item
2022-12-04 11:44:28	ga_s2am_ard_3-2-1_51JUN_2022-12-04_final.stac-item
2022-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2022-12-20_final.stac-item
2023-03-01 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2023-03-01_final.stac-item
2023-06-05 11:56:22	ga_s2am_ard_3-2-1_50JNL_2023-06-05_final.stac-item
2023-07-19 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-07-19_final.stac-item
2023-09-24 11:24:39	ga_s2am_ard_3-2-1_51JYM_2023-09-24_final.stac-item
2023-10-27 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2023-10-27_final.stac-item
2023-10-30 11:42:16	ga_s2am_ard_3-2-1_51KUB_2023-10-30_final.stac-item
2023-11-13 11:25:05	ga_s2am_ard_3-2-1_51JYK_2023-11-13_final.stac-item
2023-11-19 11:44:25	ga_s2am_ard_3-2-1_51JUN_2023-11-19_final.stac-item
2023-11-20 11:15:22	ga_s2am_ard_3-2-1_51JYJ_2023-11-20_final.stac-item
2023-11-23 11:25:05	ga_s2am_ard_3-2-1_51JXK_2023-11-23_final.stac-item
2023-11-29 11:44:19	ga_s2am_ard_3-2-1_51JUN_2023-11-29_final.stac-item
2023-11-30 11:15:02	ga_s2am_ard_3-2-1_51JYK_2023-11-30_final.stac-item
2023-12-16 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-12-16_final.stac-item
2024-01-05 11:34:32	ga_s2am_ard_3-2-1_51JTN_2024-01-05_final.stac-item
2024-01-08 11:42:12	ga_s2am_ard_3-2-1_51KUB_2024-01-08_final.stac-item
2024-01-09 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2024-01-09_final.stac-item
2024-01-19 11:15:01	ga_s2am_ard_3-2-1_51JYK_2024-01-19_final.stac-item
2024-01-28 11:43:53	ga_s2am_ard_3-2-1_51KUQ_2024-01-28_final.stac-item
2024-02-24 11:36:56	ga_s2am_ard_3-2-1_51HUC_2024-02-24_final.stac-item
2024-04-01 11:25:04	ga_s2am_ard_3-2-1_51JYK_2024-04-01_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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