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
2015-08-12 10:31:32	ga_s2am_ard_3-2-1_53JRM_2015-08-12_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KPP_2016-02-01_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_53HNC_2016-02-05_final.stac-item
2016-05-05 10:25:58	ga_s2am_ard_3-2-1_53HQC_2016-05-05_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMV_2016-07-21_final.stac-item
2016-08-16 10:28:09	ga_s2am_ard_3-2-1_53JNN_2016-08-16_final.stac-item
2016-09-16 10:01:37	ga_s2am_ard_3-2-1_54HXG_2016-09-16_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_52KBC_2016-09-17_final.stac-item
2016-09-22 10:25:59	ga_s2am_ard_3-2-1_53HQB_2016-09-22_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_52KCB_2016-12-09_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVT_2016-12-25_final
2016-12-27 10:38:37	ga_s2am_ard_3-2-1_53KPS_2016-12-27_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQL_2017-03-25_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGL_2017-04-09_final
2017-05-03 10:32:13	ga_s2am_ard_3-2-1_53JRN_2017-05-03_final
2017-12-21 11:12:09	ga_s2am_ard_3-2-1_52KCE_2017-12-21_final
2018-01-10 11:12:06	ga_s2am_ard_3-2-1_52KEE_2018-01-10_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVS_2018-02-15_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HVC_2018-03-14_final
2018-08-14 09:50:54	ga_s2am_ard_3-2-1_54HYB_2018-08-14_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUT_2018-10-06_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HVC_2018-10-30_final
2018-12-04 10:33:41	ga_s2am_ard_3-2-1_53KQP_2018-12-04_final
2018-12-15 10:06:05	ga_s2am_ard_3-2-1_54HWJ_2018-12-15_final
2019-03-06 11:13:48	ga_s2am_ard_3-2-1_51KZQ_2019-03-06_final
2019-05-10 10:27:05	ga_s2am_ard_3-2-1_53HQA_2019-05-10_final
2019-07-02 10:33:54	ga_s2am_ard_3-2-1_53KQP_2019-07-02_final
2019-07-07 11:23:40	ga_s2am_ard_3-2-1_52KBA_2019-07-07_final
2019-07-07 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2019-07-07_final
2019-09-30 10:34:15	ga_s2am_ard_3-2-1_53JNN_2019-09-30_final
2019-10-11 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-10-11_final
2019-10-28 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-10-28_final
2019-12-08 11:03:17	ga_s2am_ard_3-2-1_52KEB_2019-12-08_final
2019-12-29 10:33:54	ga_s2am_ard_3-2-1_53JRN_2019-12-29_final
2020-01-18 10:36:26	ga_s2am_ard_3-2-1_53HPC_2020-01-18_final
2020-01-28 10:34:07	ga_s2am_ard_3-2-1_53JNN_2020-01-28_final
2020-03-01 10:45:37	ga_s2am_ard_3-2-1_53JNF_2020-03-01_final
2020-03-06 09:58:01	ga_s2am_ard_3-2-1_54GYA_2020-03-06_final
2020-04-17 10:33:49	ga_s2am_ard_3-2-1_53KQP_2020-04-17_final
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-06-26_final
2020-07-21 11:24:09	ga_s2am_ard_3-2-1_52KBU_2020-07-21_final
2020-08-08 10:44:12	ga_s2am_ard_3-2-1_53JNN_2020-08-08_final
2020-09-04 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-09-04_final
2020-09-21 10:26:45	ga_s2am_ard_3-2-1_53HNC_2020-09-21_final
2020-09-26 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-09-26_final
2020-11-01 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-11-01_final
2020-12-10 10:26:43	ga_s2am_ard_3-2-1_53HQB_2020-12-10_final
2021-02-06 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-02-06_final
2021-03-01 11:34:05	ga_s2am_ard_3-2-1_51KXP_2021-03-01_final
2021-04-02 10:33:57	ga_s2am_ard_3-2-1_53JRN_2021-04-02_final
2021-04-12 10:34:27	ga_s2am_ard_3-2-1_53JQL_2021-04-12_final
2021-04-22 10:34:10	ga_s2am_ard_3-2-1_53JRM_2021-04-22_final
2021-04-30 09:57:48	ga_s2am_ard_3-2-1_54HYB_2021-04-30_final
2021-04-30 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2021-04-30_final
2021-07-20 11:05:48	ga_s2am_ard_3-2-1_52JEM_2021-07-20_final
2021-08-15 11:23:16	ga_s2am_ard_3-2-1_51KXT_2021-08-15_final
2021-08-21 11:43:31	ga_s2am_ard_3-2-1_51KUS_2021-08-21_final
2021-10-16 10:24:24	ga_s2am_ard_3-2-1_53JRM_2021-10-16_final
2021-11-26 11:32:58	ga_s2am_ard_3-2-1_51KWU_2021-11-26_final
2021-12-08 10:33:44	ga_s2am_ard_3-2-1_53KRP_2021-12-08_final
2021-12-08 10:35:00	ga_s2am_ard_3-2-1_53JQJ_2021-12-08_final
2021-12-21 10:44:17	ga_s2am_ard_3-2-1_53JPM_2021-12-21_final
2022-01-05 11:32:16	ga_s2am_ard_3-2-1_51KWB_2022-01-05_final
2022-01-20 10:44:21	ga_s2am_ard_3-2-1_53JNM_2022-01-20_final
2022-03-20 11:12:57	ga_s2am_ard_3-2-1_52KFC_2022-03-20_final
2022-04-05 09:57:38	ga_s2am_ard_3-2-1_54HYC_2022-04-05_final
2022-04-07 10:34:19	ga_s2am_ard_3-2-1_53JQM_2022-04-07_final
2022-04-22 11:22:57	ga_s2am_ard_3-2-1_51KZU_2022-04-22_final
2022-04-22 11:23:11	ga_s2am_ard_3-2-1_51KZT_2022-04-22_final
2022-05-16 11:04:01	ga_s2am_ard_3-2-1_52KGU_2022-05-16_final
2022-06-19 10:46:10	ga_s2am_ard_3-2-1_53JKF_2022-06-19_final
2022-08-17 11:14:07	ga_s2am_ard_3-2-1_51KZQ_2022-08-17_final
2022-10-17 10:42:59	ga_s2am_ard_3-2-1_53KPT_2022-10-17_final.stac-item
2022-11-11 11:33:51	ga_s2am_ard_3-2-1_51KUR_2022-11-11_final.stac-item
2022-12-11 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-12-11_final.stac-item
2022-12-21 11:33:46	ga_s2am_ard_3-2-1_51KUR_2022-12-21_final.stac-item
2023-02-06 09:48:08	ga_s2am_ard_3-2-1_54GYA_2023-02-06_final.stac-item
2023-04-11 11:02:33	ga_s2am_ard_3-2-1_52KFE_2023-04-11_final.stac-item
2023-04-20 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-04-20_final.stac-item
2023-05-17 11:24:06	ga_s2am_ard_3-2-1_52KBU_2023-05-17_final.stac-item
2023-06-05 10:16:06	ga_s2am_ard_3-2-1_54HUK_2023-06-05_final.stac-item
2023-07-06 11:23:55	ga_s2am_ard_3-2-1_52KBV_2023-07-06_final.stac-item
2023-07-18 10:24:08	ga_s2am_ard_3-2-1_53JRN_2023-07-18_final.stac-item
2023-08-05 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-08-05_final.stac-item
2023-08-10 10:34:43	ga_s2am_ard_3-2-1_53JPL_2023-08-10_final.stac-item
2023-08-25 11:23:16	ga_s2am_ard_3-2-1_51KYT_2023-08-25_final.stac-item
2023-09-04 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2023-09-04_final.stac-item
2023-09-09 10:34:18	ga_s2am_ard_3-2-1_53JNN_2023-09-09_final.stac-item
2023-09-19 10:34:06	ga_s2am_ard_3-2-1_53JQN_2023-09-19_final.stac-item
2023-09-29 10:34:20	ga_s2am_ard_3-2-1_53JQM_2023-09-29_final.stac-item
2023-10-18 11:00:44	ga_s2am_ard_3-2-1_52LHM_2023-10-18_final.stac-item
2023-11-23 11:23:35	ga_s2am_ard_3-2-1_51KYR_2023-11-23_final.stac-item
2024-02-20 11:53:15	ga_s2am_ard_3-2-1_50KQC_2024-02-20_final.stac-item
2024-03-06 11:02:48	ga_s2am_ard_3-2-1_52KFD_2024-03-06_final.stac-item
2024-03-22 11:21:25	ga_s2am_ard_3-2-1_52LBK_2024-03-22_final.stac-item
2024-04-02 10:52:28	ga_s2am_ard_3-2-1_53KKV_2024-04-02_final.stac-item
2024-04-06 10:33:43	ga_s2am_ard_3-2-1_53KRP_2024-04-06_final.stac-item
2024-04-15 11:00:31	ga_s2am_ard_3-2-1_53LKH_2024-04-15_final.stac-item
2024-04-26 10:33:48	ga_s2am_ard_3-2-1_53KRP_2024-04-26_final.stac-item
2024-04-26 10:35:18	ga_s2am_ard_3-2-1_53JQH_2024-04-26_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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