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
2016-05-15 10:26:43	ga_s2am_ard_3-2-1_53HPB_2016-05-15_final.stac-item
2016-06-24 10:26:38	ga_s2am_ard_3-2-1_53HQB_2016-06-24_final.stac-item
2016-10-22 10:26:33	ga_s2am_ard_3-2-1_53HNB_2016-10-22_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50KQG_2016-12-28_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LZD_2017-01-18_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KBA_2017-01-25_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JLL_2017-03-08_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50JRS_2017-03-25_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWV_2017-05-31_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52KEB_2017-08-13_final
2017-10-07 10:23:05	ga_s2am_ard_3-2-1_53HPC_2017-10-07_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KZQ_2018-03-24_final
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53HLD_2018-03-29_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51JVM_2018-05-06_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51LWG_2018-05-09_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JRS_2018-06-18_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-24_final
2018-09-25 10:27:03	ga_s2am_ard_3-2-1_53HNC_2018-09-25_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-10-02_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_52KBC_2018-10-10_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KVU_2018-10-13_final
2018-11-12 11:33:33	ga_s2am_ard_3-2-1_51KXR_2018-11-12_final
2018-11-12 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2018-11-12_final
2018-12-01 12:05:56	ga_s2am_ard_3-2-1_50JLM_2018-12-01_final
2018-12-13 11:02:50	ga_s2am_ard_3-2-1_52KGC_2018-12-13_final
2018-12-19 11:23:41	ga_s2am_ard_3-2-1_52KBV_2018-12-19_final
2018-12-24 10:36:09	ga_s2am_ard_3-2-1_53HPD_2018-12-24_final
2019-01-07 11:56:03	ga_s2am_ard_3-2-1_50JMM_2019-01-07_final
2019-04-12 11:00:47	ga_s2am_ard_3-2-1_52LHM_2019-04-12_final
2019-06-24 11:13:44	ga_s2am_ard_3-2-1_52KBA_2019-06-24_final
2019-07-10 11:32:45	ga_s2am_ard_3-2-1_51KXV_2019-07-10_final
2019-07-27 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2019-07-27_final
2019-09-12 11:13:28	ga_s2am_ard_3-2-1_52KEA_2019-09-12_final
2019-09-21 11:42:21	ga_s2am_ard_3-2-1_51KWA_2019-09-21_final
2019-09-29 11:05:26	ga_s2am_ard_3-2-1_52JCP_2019-09-29_final
2019-10-08 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-10-08_final
2019-10-10 10:35:59	ga_s2am_ard_3-2-1_53HQE_2019-10-10_final
2019-10-21 11:42:02	ga_s2am_ard_3-2-1_51LVC_2019-10-21_final
2020-02-01 11:55:02	ga_s2am_ard_3-2-1_50JMR_2020-02-01_final
2020-02-25 11:31:43	ga_s2am_ard_3-2-1_51LZC_2020-02-25_final
2020-02-25 11:33:18	ga_s2am_ard_3-2-1_51KXS_2020-02-25_final
2020-03-06 11:36:42	ga_s2am_ard_3-2-1_51HTD_2020-03-06_final
2020-04-06 11:04:54	ga_s2am_ard_3-2-1_52JFQ_2020-04-06_final
2020-04-15 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2020-04-15_final
2020-04-22 11:23:37	ga_s2am_ard_3-2-1_51KZR_2020-04-22_final
2020-04-27 10:36:27	ga_s2am_ard_3-2-1_53HMD_2020-04-27_final
2020-05-01 11:53:24	ga_s2am_ard_3-2-1_50KPC_2020-05-01_final
2020-06-25 11:05:22	ga_s2am_ard_3-2-1_52JEP_2020-06-25_final
2020-07-27 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2020-07-27_final
2020-08-09 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-08-09_final
2020-10-23 11:03:47	ga_s2am_ard_3-2-1_52KGV_2020-10-23_final
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final
2021-02-03 11:10:29	ga_s2am_ard_3-2-1_52LGN_2021-02-03_final
2021-03-04 11:43:11	ga_s2am_ard_3-2-1_51KVT_2021-03-04_final
2021-03-29 10:54:45	ga_s2am_ard_3-2-1_52JFR_2021-03-29_final
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-06-05 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-06-05_final
2021-06-16 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-06-16_final
2021-07-19 11:34:35	ga_s2am_ard_3-2-1_51JUN_2021-07-19_final
2021-07-23 11:13:43	ga_s2am_ard_3-2-1_51KZR_2021-07-23_final
2021-08-15 11:22:58	ga_s2am_ard_3-2-1_51KYU_2021-08-15_final
2021-10-06 12:05:02	ga_s2am_ard_3-2-1_49JHM_2021-10-06_final
2021-10-10 11:46:06	ga_s2am_ard_3-2-1_50JQM_2021-10-10_final
2021-11-29 11:42:45	ga_s2am_ard_3-2-1_51KUV_2021-11-29_final
2022-01-31 11:53:17	ga_s2am_ard_3-2-1_50KQC_2022-01-31_final
2022-02-14 11:33:34	ga_s2am_ard_3-2-1_51KUS_2022-02-14_final
2022-02-17 11:44:53	ga_s2am_ard_3-2-1_50JPS_2022-02-17_final
2022-03-20 11:13:33	ga_s2am_ard_3-2-1_52KEA_2022-03-20_final
2022-03-30 11:13:21	ga_s2am_ard_3-2-1_52KDB_2022-03-30_final
2022-04-03 10:55:29	ga_s2am_ard_3-2-1_52JGN_2022-04-03_final
2022-05-28 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-05-28_final
2022-07-01 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-07-01_final
2022-07-04 11:33:14	ga_s2am_ard_3-2-1_51KVU_2022-07-04_final
2022-07-13 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-07-13_final
2022-09-11 10:27:12	ga_s2am_ard_3-2-1_53HQA_2022-09-11_final.stac-item
2022-09-22 11:33:52	ga_s2am_ard_3-2-1_51KVR_2022-09-22_final.stac-item
2022-10-12 11:31:34	ga_s2am_ard_3-2-1_52LBJ_2022-10-12_final.stac-item
2022-10-13 11:04:08	ga_s2am_ard_3-2-1_52KEU_2022-10-13_final.stac-item
2022-11-28 11:24:04	ga_s2am_ard_3-2-1_52KBU_2022-11-28_final.stac-item
2022-12-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2022-12-07_final.stac-item
2022-12-08 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2022-12-08_final.stac-item
2022-12-14 11:42:27	ga_s2am_ard_3-2-1_51KVA_2022-12-14_final.stac-item
2022-12-26 10:46:08	ga_s2am_ard_3-2-1_53HLE_2022-12-26_final.stac-item
2023-02-19 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-02-19_final.stac-item
2023-03-26 10:45:42	ga_s2am_ard_3-2-1_53JKG_2023-03-26_final.stac-item
2023-03-31 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-03-31_final.stac-item
2023-04-07 11:22:36	ga_s2am_ard_3-2-1_51KZV_2023-04-07_final.stac-item
2023-04-23 11:41:54	ga_s2am_ard_3-2-1_51LWC_2023-04-23_final.stac-item
2023-08-12 11:10:48	ga_s2am_ard_3-2-1_52LGM_2023-08-12_final.stac-item
2023-08-23 10:46:04	ga_s2am_ard_3-2-1_53JKF_2023-08-23_final.stac-item
2023-08-27 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-08-27_final.stac-item
2023-09-10 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-09-10_final.stac-item
2023-10-26 12:03:41	ga_s2am_ard_3-2-1_50KLB_2023-10-26_final.stac-item
2023-11-19 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-11-19_final.stac-item
2023-11-23 11:22:47	ga_s2am_ard_3-2-1_52KBD_2023-11-23_final.stac-item
2023-11-29 11:42:55	ga_s2am_ard_3-2-1_51KTU_2023-11-29_final.stac-item
2023-12-13 11:22:48	ga_s2am_ard_3-2-1_51KZU_2023-12-13_final.stac-item
2024-03-16 11:01:17	ga_s2am_ard_3-2-1_52LGK_2024-03-16_final.stac-item
2024-03-18 11:42:42	ga_s2am_ard_3-2-1_51KVV_2024-03-18_final.stac-item
2024-04-14 11:34:16	ga_s2am_ard_3-2-1_51KVP_2024-04-14_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

All years