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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KZU_2015-11-25_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JBS_2016-01-11_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KEC_2016-05-20_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_52KCB_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KXQ_2016-06-05_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKM_2016-08-03_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTC_2016-09-13_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KQA_2016-10-29_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KBA_2016-12-06_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYA_2017-01-18_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JBT_2017-01-25_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKP_2017-02-09_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKV_2017-02-09_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGK_2017-02-12_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KTT_2017-02-13_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52JCL_2017-04-02_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51LWC_2017-04-14_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51HYD_2017-05-25_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50HQK_2017-09-08_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYH_2017-10-05_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_51KZR_2018-01-10_final
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52KEC_2018-01-27_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JQQ_2018-02-08_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVP_2018-02-15_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KRB_2018-02-18_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTS_2018-02-18_final
2018-03-11 11:07:08	ga_s2am_ard_3-2-1_52KFF_2018-03-11_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HYE_2018-03-11_final
2018-07-23 10:47:26	ga_s2am_ard_3-2-1_52JFS_2018-07-23_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-08-03_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51KVT_2018-09-06_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JFQ_2018-10-01_final
2018-12-11 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-11_final
2019-01-14 11:42:05	ga_s2am_ard_3-2-1_51KWB_2019-01-14_final
2019-03-16 11:13:54	ga_s2am_ard_3-2-1_52KEU_2019-03-16_final
2019-05-28 11:25:09	ga_s2am_ard_3-2-1_51JYK_2019-05-28_final
2019-07-09 12:06:15	ga_s2am_ard_3-2-1_50JKM_2019-07-09_final
2019-08-12 11:41:59	ga_s2am_ard_3-2-1_51LWC_2019-08-12_final
2019-10-19 11:03:23	ga_s2am_ard_3-2-1_52KEB_2019-10-19_final
2019-10-19 11:03:30	ga_s2am_ard_3-2-1_52KGA_2019-10-19_final
2019-11-27 11:34:25	ga_s2am_ard_3-2-1_51JWN_2019-11-27_final
2020-02-24 12:06:04	ga_s2am_ard_3-2-1_50JKM_2020-02-24_final
2020-03-03 11:22:44	ga_s2am_ard_3-2-1_52KCD_2020-03-03_final
2020-06-13 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-06-13_final
2020-06-24 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-06-24_final
2020-07-01 11:24:05	ga_s2am_ard_3-2-1_51KYQ_2020-07-01_final
2020-07-24 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-07-24_final
2020-09-02 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-09-02_final
2020-10-09 11:21:46	ga_s2am_ard_3-2-1_51LZD_2020-10-09_final
2020-12-08 11:23:11	ga_s2am_ard_3-2-1_51KXT_2020-12-08_final
2020-12-09 10:53:43	ga_s2am_ard_3-2-1_52KGV_2020-12-09_final
2020-12-21 11:31:41	ga_s2am_ard_3-2-1_51LXD_2020-12-21_final
2021-01-20 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-01-20_final
2021-02-05 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-02-05_final
2021-03-12 11:02:47	ga_s2am_ard_3-2-1_52KFD_2021-03-12_final
2021-03-15 11:12:17	ga_s2am_ard_3-2-1_52KEF_2021-03-15_final
2021-03-15 11:13:18	ga_s2am_ard_3-2-1_52KDB_2021-03-15_final
2021-03-22 11:02:07	ga_s2am_ard_3-2-1_52KFG_2021-03-22_final
2021-05-04 11:15:52	ga_s2am_ard_3-2-1_51JYG_2021-05-04_final
2021-05-11 11:05:51	ga_s2am_ard_3-2-1_52JCM_2021-05-11_final
2021-07-09 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-07-09_final
2021-07-12 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-07-12_final
2021-07-22 11:45:57	ga_s2am_ard_3-2-1_50JNN_2021-07-22_final
2021-08-05 11:23:09	ga_s2am_ard_3-2-1_52KBC_2021-08-05_final
2021-08-06 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-08-06_final
2021-09-04 11:24:12	ga_s2am_ard_3-2-1_51KXP_2021-09-04_final
2021-10-11 11:15:53	ga_s2am_ard_3-2-1_52JCM_2021-10-11_final
2021-11-06 11:33:27	ga_s2am_ard_3-2-1_51KXS_2021-11-06_final
2022-02-27 11:41:58	ga_s2am_ard_3-2-1_51LWC_2022-02-27_final
2022-02-28 11:12:41	ga_s2am_ard_3-2-1_52KCE_2022-02-28_final
2022-03-25 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-03-25_final
2022-03-27 11:06:09	ga_s2am_ard_3-2-1_52JCL_2022-03-27_final
2022-03-29 11:44:33	ga_s2am_ard_3-2-1_50JRT_2022-03-29_final
2022-05-02 11:24:09	ga_s2am_ard_3-2-1_52KBU_2022-05-02_final
2022-05-05 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2022-05-05_final
2022-05-06 11:06:15	ga_s2am_ard_3-2-1_52JBL_2022-05-06_final
2022-05-31 11:54:01	ga_s2am_ard_3-2-1_50KNA_2022-05-31_final
2022-07-27 11:47:01	ga_s2am_ard_3-2-1_50HNJ_2022-07-27_final
2022-09-01 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-09-01_final.stac-item
2022-09-16 11:15:09	ga_s2am_ard_3-2-1_52JDQ_2022-09-16_final.stac-item
2022-09-21 12:05:37	ga_s2am_ard_3-2-1_49JGK_2022-09-21_final.stac-item
2022-10-05 11:44:17	ga_s2am_ard_3-2-1_50KPV_2022-10-05_final.stac-item
2022-12-04 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2022-12-04_final.stac-item
2022-12-11 11:32:08	ga_s2am_ard_3-2-1_51KYB_2022-12-11_final.stac-item
2022-12-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-12-17_final.stac-item
2023-01-04 11:14:19	ga_s2am_ard_3-2-1_52JCT_2023-01-04_final.stac-item
2023-01-27 11:22:39	ga_s2am_ard_3-2-1_51KYV_2023-01-27_final.stac-item
2023-01-30 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-01-30_final.stac-item
2023-01-31 11:03:11	ga_s2am_ard_3-2-1_52KGB_2023-01-31_final.stac-item
2023-03-24 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-03-24_final.stac-item
2023-04-13 11:42:57	ga_s2am_ard_3-2-1_51KVU_2023-04-13_final.stac-item
2023-04-14 11:14:35	ga_s2am_ard_3-2-1_52JCS_2023-04-14_final.stac-item
2023-05-09 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-05-09_final.stac-item
2023-06-08 12:06:13	ga_s2am_ard_3-2-1_50JKM_2023-06-08_final.stac-item
2023-06-18 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-18_final.stac-item
2023-06-30 11:03:06	ga_s2am_ard_3-2-1_52KFC_2023-06-30_final.stac-item
2023-06-30 11:04:35	ga_s2am_ard_3-2-1_52JES_2023-06-30_final.stac-item
2024-02-18 11:15:34	ga_s2am_ard_3-2-1_51JXH_2024-02-18_final.stac-item
2024-03-15 11:37:02	ga_s2am_ard_3-2-1_50HQH_2024-03-15_final.stac-item
2024-03-26 11:03:35	ga_s2am_ard_3-2-1_52KEA_2024-03-26_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

All years