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
2015-10-01 10:34:17	ga_s2am_ard_3-2-1_53JPM_2015-10-01_final.stac-item
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KPP_2015-10-21_final.stac-item
2015-11-27 10:26:36	ga_s2am_ard_3-2-1_53HPC_2015-11-27_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYT_2016-01-07_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_51LZE_2016-03-24_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JPL_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53KPS_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53KRA_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53KRB_2016-03-29_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53JLN_2016-04-01_final.stac-item
2016-04-05 10:24:40	ga_s2am_ard_3-2-1_53HPE_2016-04-05_final.stac-item
2016-05-15 10:26:43	ga_s2am_ard_3-2-1_53HNB_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KMC_2016-05-22_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JLL_2016-09-09_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JPM_2016-12-14_final
2018-02-14 10:17:02	ga_s2am_ard_3-2-1_53HQB_2018-02-14_final
2018-02-20 10:37:24	ga_s2am_ard_3-2-1_53LPC_2018-02-20_final
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53JRM_2018-04-28_final
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54JTR_2018-05-15_final
2018-06-17 10:27:07	ga_s2am_ard_3-2-1_53JPL_2018-06-17_final
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_53HPC_2018-08-13_final
2018-08-14 09:50:54	ga_s2am_ard_3-2-1_54HYB_2018-08-14_final
2018-09-10 11:16:56	ga_s2am_ard_3-2-1_52LDJ_2018-09-10_final
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_53JQL_2018-10-12_final
2019-01-16 10:44:02	ga_s2am_ard_3-2-1_53JNN_2019-01-16_final
2019-01-21 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-21_final.stac-item
2019-02-12 10:33:49	ga_s2am_ard_3-2-1_53KPP_2019-02-12_final
2019-05-01 11:33:20	ga_s2am_ard_3-2-1_51KVT_2019-05-01_final
2019-05-06 10:44:10	ga_s2am_ard_3-2-1_53JNN_2019-05-06_final
2019-05-13 10:34:36	ga_s2am_ard_3-2-1_53JQL_2019-05-13_final
2019-06-08 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-06-08_final
2019-06-29 10:24:38	ga_s2am_ard_3-2-1_54JTR_2019-06-29_final
2019-08-05 11:53:07	ga_s2am_ard_3-2-1_50KQD_2019-08-05_final.stac-item
2019-09-20 10:34:04	ga_s2am_ard_3-2-1_53JQN_2019-09-20_final
2019-11-09 10:33:52	ga_s2am_ard_3-2-1_53KQP_2019-11-09_final
2019-12-09 10:34:00	ga_s2am_ard_3-2-1_53JQN_2019-12-09_final
2020-01-18 10:33:58	ga_s2am_ard_3-2-1_53JQN_2020-01-18_final
2020-02-05 11:33:37	ga_s2am_ard_3-2-1_51KVR_2020-02-05_final
2020-02-07 10:33:41	ga_s2am_ard_3-2-1_53KQP_2020-02-07_final
2020-02-11 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-11_final
2020-02-17 10:34:12	ga_s2am_ard_3-2-1_53JQM_2020-02-17_final
2020-02-24 10:24:13	ga_s2am_ard_3-2-1_53JRM_2020-02-24_final
2020-03-04 10:52:08	ga_s2am_ard_3-2-1_53KMA_2020-03-04_final
2020-05-07 10:34:08	ga_s2am_ard_3-2-1_53JQN_2020-05-07_final
2020-07-08 11:13:27	ga_s2am_ard_3-2-1_52KEB_2020-07-08_final
2020-08-05 10:34:06	ga_s2am_ard_3-2-1_53JRN_2020-08-05_final
2020-09-27 10:44:26	ga_s2am_ard_3-2-1_53JNM_2020-09-27_final
2020-12-01 11:33:30	ga_s2am_ard_3-2-1_51KVS_2020-12-01_final
2021-02-14 10:43:00	ga_s2am_ard_3-2-1_53KQS_2021-02-14_final
2021-04-29 10:24:37	ga_s2am_ard_3-2-1_53JQL_2021-04-29_final
2021-05-07 11:24:07	ga_s2am_ard_3-2-1_51KYP_2021-05-07_final
2021-06-09 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-06-09_final
2021-07-08 10:24:36	ga_s2am_ard_3-2-1_54JTR_2021-07-08_final
2021-08-17 10:24:21	ga_s2am_ard_3-2-1_53JRM_2021-08-17_final
2021-09-02 10:40:55	ga_s2am_ard_3-2-1_53LPF_2021-09-02_final
2021-10-29 10:34:04	ga_s2am_ard_3-2-1_53JRN_2021-10-29_final
2021-12-19 10:07:35	ga_s2am_ard_3-2-1_54HUD_2021-12-19_final.stac-item
2021-12-21 10:44:17	ga_s2am_ard_3-2-1_53JPM_2021-12-21_final
2021-12-26 11:33:32	ga_s2am_ard_3-2-1_51KVS_2021-12-26_final
2022-02-03 10:25:05	ga_s2am_ard_3-2-1_53JQJ_2022-02-03_final
2022-05-27 10:34:07	ga_s2am_ard_3-2-1_53JRN_2022-05-27_final
2022-06-26 10:34:26	ga_s2am_ard_3-2-1_53JNN_2022-06-26_final
2022-06-28 11:13:20	ga_s2am_ard_3-2-1_52KCC_2022-06-28_final
2022-09-05 11:45:12	ga_s2am_ard_3-2-1_50JPR_2022-09-05_final.stac-item
2022-09-25 13:21:45	ga_s2am_ard_3-2-1_46LHN_2022-09-25_interim.stac-item
2022-10-14 10:34:08	ga_s2am_ard_3-2-1_53JQN_2022-10-14_final.stac-item
2022-10-26 11:16:05	ga_s2am_ard_3-2-1_52JCL_2022-10-26_final.stac-item
2022-10-27 10:43:51	ga_s2am_ard_3-2-1_53KPP_2022-10-27_final.stac-item
2022-11-01 11:36:32	ga_s2am_ard_3-2-1_51HUE_2022-11-01_final.stac-item
2022-11-18 11:23:29	ga_s2am_ard_3-2-1_52KCA_2022-11-18_final.stac-item
2022-12-21 11:34:35	ga_s2am_ard_3-2-1_50JRT_2022-12-21_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2023-01-01 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-01-01_final.stac-item
2023-01-15 10:43:45	ga_s2am_ard_3-2-1_53KPP_2023-01-15_final.stac-item
2023-01-22 10:34:09	ga_s2am_ard_3-2-1_53JNN_2023-01-22_final.stac-item
2023-01-27 11:22:50	ga_s2am_ard_3-2-1_51KZU_2023-01-27_final.stac-item
2023-01-27 11:25:43	ga_s2am_ard_3-2-1_51JVH_2023-01-27_final.stac-item
2023-01-30 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-01-30_final.stac-item
2023-02-21 10:33:50	ga_s2am_ard_3-2-1_53KPP_2023-02-21_final.stac-item
2023-04-09 10:24:34	ga_s2am_ard_3-2-1_54JTR_2023-04-09_final.stac-item
2023-04-20 11:34:14	ga_s2am_ard_3-2-1_51JXN_2023-04-20_final.stac-item
2023-04-26 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-04-26_final.stac-item
2023-05-12 10:34:03	ga_s2am_ard_3-2-1_53JQN_2023-05-12_final.stac-item
2023-05-19 10:24:21	ga_s2am_ard_3-2-1_53JRM_2023-05-19_final.stac-item
2023-07-21 10:34:36	ga_s2am_ard_3-2-1_53JQL_2023-07-21_final.stac-item
2023-08-10 10:34:18	ga_s2am_ard_3-2-1_53JRM_2023-08-10_final.stac-item
2023-09-19 10:34:21	ga_s2am_ard_3-2-1_53JQM_2023-09-19_final.stac-item
2023-11-06 11:33:41	ga_s2am_ard_3-2-1_51KWR_2023-11-06_final.stac-item
2023-11-28 10:33:56	ga_s2am_ard_3-2-1_53JQN_2023-11-28_final.stac-item
2023-12-19 11:41:29	ga_s2am_ard_3-2-1_51LUE_2023-12-19_final.stac-item
2023-12-26 11:33:20	ga_s2am_ard_3-2-1_51KXS_2023-12-26_final.stac-item
2024-01-17 10:33:37	ga_s2am_ard_3-2-1_53KRP_2024-01-17_final.stac-item
2024-01-27 10:34:13	ga_s2am_ard_3-2-1_53JQM_2024-01-27_final.stac-item
2024-03-12 11:23:39	ga_s2am_ard_3-2-1_51KYR_2024-03-12_final.stac-item
2024-03-17 10:34:33	ga_s2am_ard_3-2-1_53JQL_2024-03-17_final.stac-item
2024-03-25 09:58:06	ga_s2am_ard_3-2-1_54GYA_2024-03-25_final.stac-item
2024-03-30 10:43:48	ga_s2am_ard_3-2-1_53KPP_2024-03-30_final.stac-item
2024-04-16 10:34:32	ga_s2am_ard_3-2-1_54JTR_2024-04-16_final.stac-item
2024-04-19 10:44:10	ga_s2am_ard_3-2-1_53JNN_2024-04-19_final.stac-item
2024-05-03 10:24:22	ga_s2am_ard_3-2-1_54JTS_2024-05-03_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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