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
2016-04-05 10:17:42	ga_s2am_ard_3-2-1_53JRM_2016-04-05_final.stac-item
2016-04-05 10:17:42	ga_s2am_ard_3-2-1_54JTR_2016-04-05_final.stac-item
2016-06-28 10:07:19	ga_s2am_ard_3-2-1_54HXC_2016-06-28_final.stac-item
2016-09-16 10:01:37	ga_s2am_ard_3-2-1_54HXG_2016-09-16_final.stac-item
2016-09-24 11:00:36	ga_s2am_ard_3-2-1_52LHM_2016-09-24_final.stac-item
2016-09-25 10:27:57	ga_s2am_ard_3-2-1_53JQN_2016-09-25_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_51KVB_2016-10-26_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KQG_2017-01-07_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDD_2017-01-15_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVT_2017-01-31_final
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_54HXF_2017-04-11_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPJ_2017-07-23_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXS_2017-11-07_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KTU_2017-12-30_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KXT_2018-05-26_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPL_2018-06-08_final
2018-06-14 10:17:05	ga_s2am_ard_3-2-1_54JTP_2018-06-14_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KXU_2018-07-25_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-07-25_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KVT_2018-08-17_final
2019-01-04 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-01-04_final.stac-item
2019-02-22 10:33:49	ga_s2am_ard_3-2-1_53KPP_2019-02-22_final
2019-03-24 10:34:20	ga_s2am_ard_3-2-1_53JPM_2019-03-24_final
2019-04-05 11:13:27	ga_s2am_ard_3-2-1_52KEA_2019-04-05_final
2019-06-07 11:23:37	ga_s2am_ard_3-2-1_52KBA_2019-06-07_final
2019-06-23 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-06-23_final
2019-07-10 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2019-07-10_final
2019-09-09 11:03:18	ga_s2am_ard_3-2-1_52KEB_2019-09-09_final
2019-11-10 11:43:17	ga_s2am_ard_3-2-1_51KUT_2019-11-10_final
2019-11-29 10:34:14	ga_s2am_ard_3-2-1_54JTS_2019-11-29_final
2019-12-24 11:21:26	ga_s2am_ard_3-2-1_52LDJ_2019-12-24_final
2020-01-20 11:12:07	ga_s2am_ard_3-2-1_52KFF_2020-01-20_final
2020-01-26 11:33:31	ga_s2am_ard_3-2-1_51KXR_2020-01-26_final
2020-01-28 10:33:38	ga_s2am_ard_3-2-1_53KRP_2020-01-28_final
2020-05-23 10:52:18	ga_s2am_ard_3-2-1_53KLA_2020-05-23_final
2020-06-06 10:35:03	ga_s2am_ard_3-2-1_54JTP_2020-06-06_final
2020-07-03 10:26:37	ga_s2am_ard_3-2-1_53HQC_2020-07-03_final
2020-08-26 10:07:35	ga_s2am_ard_3-2-1_54HVD_2020-08-26_final
2020-09-04 10:34:30	ga_s2am_ard_3-2-1_53JNM_2020-09-04_final
2020-10-05 11:41:39	ga_s2am_ard_3-2-1_51LUE_2020-10-05_final
2020-10-29 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-10-29_final
2020-11-06 10:44:25	ga_s2am_ard_3-2-1_53JNM_2020-11-06_final
2020-11-23 10:33:51	ga_s2am_ard_3-2-1_53KQP_2020-11-23_final
2020-11-26 10:45:45	ga_s2am_ard_3-2-1_53JKG_2020-11-26_final
2020-12-05 11:13:53	ga_s2am_ard_3-2-1_52KBV_2020-12-05_final
2020-12-25 11:13:33	ga_s2am_ard_3-2-1_52KDA_2020-12-25_final
2021-02-24 10:41:37	ga_s2am_ard_3-2-1_53LPC_2021-02-24_final
2021-04-10 11:33:33	ga_s2am_ard_3-2-1_51KXR_2021-04-10_final
2021-05-07 11:23:38	ga_s2am_ard_3-2-1_51KYR_2021-05-07_final
2021-05-29 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2021-05-29_final
2021-06-26 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2021-06-26_final
2021-08-17 10:25:08	ga_s2am_ard_3-2-1_53JQJ_2021-08-17_final
2021-09-17 11:33:40	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final
2021-10-04 11:23:30	ga_s2am_ard_3-2-1_51KYS_2021-10-04_final
2021-11-08 10:34:21	ga_s2am_ard_3-2-1_53JQM_2021-11-08_final
2021-11-19 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-11-19_final
2022-01-02 11:23:51	ga_s2am_ard_3-2-1_52KBV_2022-01-02_final
2022-03-28 10:34:21	ga_s2am_ard_3-2-1_53JQM_2022-03-28_final
2022-04-17 10:34:03	ga_s2am_ard_3-2-1_53JRN_2022-04-17_final
2022-04-29 11:13:42	ga_s2am_ard_3-2-1_52KEA_2022-04-29_final
2022-05-08 11:41:02	ga_s2am_ard_3-2-1_51LWG_2022-05-08_final.stac-item
2022-07-14 09:57:53	ga_s2am_ard_3-2-1_54HXC_2022-07-14_final
2022-09-26 11:14:01	ga_s2am_ard_3-2-1_51KZQ_2022-09-26_final.stac-item
2022-10-07 10:46:16	ga_s2am_ard_3-2-1_53HLE_2022-10-07_final.stac-item
2022-11-13 10:34:25	ga_s2am_ard_3-2-1_53JPM_2022-11-13_final.stac-item
2022-11-13 10:34:36	ga_s2am_ard_3-2-1_53JQL_2022-11-13_final.stac-item
2022-11-20 10:26:33	ga_s2am_ard_3-2-1_53HQC_2022-11-20_final.stac-item
2022-12-04 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-12-04_final.stac-item
2022-12-21 11:34:35	ga_s2am_ard_3-2-1_50JRT_2022-12-21_final.stac-item
2022-12-24 11:43:16	ga_s2am_ard_3-2-1_51KTT_2022-12-24_final.stac-item
2023-01-03 11:41:32	ga_s2am_ard_3-2-1_51LUE_2023-01-03_final.stac-item
2023-01-04 11:12:27	ga_s2am_ard_3-2-1_52KFE_2023-01-04_final.stac-item
2023-01-05 10:44:15	ga_s2am_ard_3-2-1_53JPM_2023-01-05_final.stac-item
2023-01-08 10:52:36	ga_s2am_ard_3-2-1_53KMU_2023-01-08_final.stac-item
2023-01-22 10:34:29	ga_s2am_ard_3-2-1_53JQL_2023-01-22_final.stac-item
2023-02-02 11:43:23	ga_s2am_ard_3-2-1_51KVS_2023-02-02_final.stac-item
2023-02-23 11:12:29	ga_s2am_ard_3-2-1_52KEE_2023-02-23_final.stac-item
2023-05-07 11:24:15	ga_s2am_ard_3-2-1_51KWP_2023-05-07_final.stac-item
2023-07-02 11:42:50	ga_s2am_ard_3-2-1_51KUV_2023-07-02_final.stac-item
2023-07-23 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2023-07-23_final.stac-item
2023-08-01 10:06:54	ga_s2am_ard_3-2-1_54HYF_2023-08-01_final.stac-item
2023-08-18 11:33:51	ga_s2am_ard_3-2-1_51KVR_2023-08-18_final.stac-item
2023-09-07 11:34:10	ga_s2am_ard_3-2-1_51KXP_2023-09-07_final.stac-item
2023-09-12 10:46:03	ga_s2am_ard_3-2-1_53JKF_2023-09-12_final.stac-item
2023-10-11 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2023-10-11_final.stac-item
2023-10-14 11:23:37	ga_s2am_ard_3-2-1_51KYR_2023-10-14_final.stac-item
2023-10-19 10:34:32	ga_s2am_ard_3-2-1_53JQL_2023-10-19_final.stac-item
2023-11-08 10:33:45	ga_s2am_ard_3-2-1_53KRP_2023-11-08_final.stac-item
2023-11-11 10:44:16	ga_s2am_ard_3-2-1_53JPM_2023-11-11_final.stac-item
2023-11-18 10:34:16	ga_s2am_ard_3-2-1_53JQM_2023-11-18_final.stac-item
2023-12-18 10:34:00	ga_s2am_ard_3-2-1_53JQN_2023-12-18_final.stac-item
2023-12-31 10:44:14	ga_s2am_ard_3-2-1_53JPM_2023-12-31_final.stac-item
2024-01-27 10:32:46	ga_s2am_ard_3-2-1_53KQT_2024-01-27_final.stac-item
2024-01-28 11:42:55	ga_s2am_ard_3-2-1_51KUU_2024-01-28_final.stac-item
2024-02-21 11:23:11	ga_s2am_ard_3-2-1_51KXT_2024-02-21_final.stac-item
2024-03-21 10:17:16	ga_s2am_ard_3-2-1_54HUE_2024-03-21_final.stac-item
2024-03-23 10:50:50	ga_s2am_ard_3-2-1_53LPF_2024-03-23_final.stac-item
2024-03-28 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-28_final.stac-item
2024-04-17 11:42:19	ga_s2am_ard_3-2-1_51KUB_2024-04-17_final.stac-item
2024-04-19 10:44:31	ga_s2am_ard_3-2-1_53JPL_2024-04-19_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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