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
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_52JGP_2015-08-18_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KYR_2016-01-24_final.stac-item
2016-01-26 10:26:51	ga_s2am_ard_3-2-1_53HPB_2016-01-26_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KCU_2016-01-31_final.stac-item
2016-04-28 10:34:09	ga_s2am_ard_3-2-1_53HME_2016-04-28_final.stac-item
2016-05-08 10:34:29	ga_s2am_ard_3-2-1_53HPA_2016-05-08_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KEV_2016-05-20_final.stac-item
2016-06-24 10:26:38	ga_s2am_ard_3-2-1_53HPC_2016-06-24_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_50KKV_2016-07-17_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPH_2016-09-26_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52JGR_2016-10-31_final.stac-item
2016-11-26 11:10:35	ga_s2am_ard_3-2-1_52LGL_2016-11-26_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JLP_2017-02-09_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51LXD_2017-02-10_final
2017-07-29 10:26:39	ga_s2am_ard_3-2-1_53HQB_2017-07-29_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JUG_2017-12-04_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KGF_2018-01-07_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HYD_2018-02-19_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDB_2018-02-19_final
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52JGT_2018-03-08_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JZN_2018-03-11_final
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52LFJ_2018-03-18_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HNH_2018-04-19_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HNK_2018-04-19_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HQH_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVM_2018-06-05_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JBN_2018-06-19_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HWC_2018-07-02_final.stac-item
2018-08-15 11:05:44	ga_s2am_ard_3-2-1_52JEL_2018-08-15_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JQL_2018-10-06_final
2018-12-07 10:46:01	ga_s2am_ard_3-2-1_53HLE_2018-12-07_final
2018-12-14 10:36:38	ga_s2am_ard_3-2-1_53HPB_2018-12-14_final
2019-02-04 11:15:26	ga_s2am_ard_3-2-1_51JXJ_2019-02-04_final
2019-03-30 10:55:24	ga_s2am_ard_3-2-1_53JKH_2019-03-30_final
2019-04-05 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2019-04-05_final
2019-04-24 11:42:02	ga_s2am_ard_3-2-1_51LVC_2019-04-24_final
2019-06-04 11:16:25	ga_s2am_ard_3-2-1_51HYE_2019-06-04_final
2019-10-04 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-10-04_final
2019-10-12 11:15:36	ga_s2am_ard_3-2-1_52JCN_2019-10-12_final
2019-11-28 11:03:53	ga_s2am_ard_3-2-1_52KDV_2019-11-28_final
2020-01-09 11:43:38	ga_s2am_ard_3-2-1_51KUR_2020-01-09_final
2020-01-09 11:44:07	ga_s2am_ard_3-2-1_51KUP_2020-01-09_final
2020-02-05 11:36:23	ga_s2am_ard_3-2-1_51HTE_2020-02-05_final
2020-03-20 11:13:24	ga_s2am_ard_3-2-1_52KBB_2020-03-20_final
2020-04-09 11:12:08	ga_s2am_ard_3-2-1_52KCG_2020-04-09_final
2020-04-25 11:35:43	ga_s2am_ard_3-2-1_51JVH_2020-04-25_final
2020-05-07 10:36:36	ga_s2am_ard_3-2-1_53HPC_2020-05-07_final
2020-05-14 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2020-05-14_final.stac-item
2020-06-23 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final.stac-item
2020-07-04 11:31:47	ga_s2am_ard_3-2-1_51LXD_2020-07-04_final
2020-08-06 11:45:06	ga_s2am_ard_3-2-1_51JTL_2020-08-06_final
2020-09-26 11:13:31	ga_s2am_ard_3-2-1_52KBB_2020-09-26_final
2020-10-05 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-10-05_final
2020-12-02 11:02:51	ga_s2am_ard_3-2-1_52KED_2020-12-02_final
2020-12-08 11:21:23	ga_s2am_ard_3-2-1_51LZE_2020-12-08_final
2021-01-05 10:46:06	ga_s2am_ard_3-2-1_53HME_2021-01-05_final
2021-01-24 11:15:22	ga_s2am_ard_3-2-1_52JBP_2021-01-24_final
2021-02-10 11:03:19	ga_s2am_ard_3-2-1_52KEB_2021-02-10_final
2021-02-12 11:42:59	ga_s2am_ard_3-2-1_51KUU_2021-02-12_final
2021-03-14 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-03-14_final
2021-03-18 11:23:13	ga_s2am_ard_3-2-1_51KXT_2021-03-18_final
2021-04-07 11:26:28	ga_s2am_ard_3-2-1_51HUE_2021-04-07_final
2021-05-13 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-05-13_final
2021-05-24 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-05-24_final
2021-06-02 11:43:33	ga_s2am_ard_3-2-1_51KTS_2021-06-02_final
2021-08-20 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-08-20_final
2021-08-31 11:46:35	ga_s2am_ard_3-2-1_50HPK_2021-08-31_final
2021-09-17 11:31:41	ga_s2am_ard_3-2-1_51LYD_2021-09-17_final
2021-11-10 11:16:08	ga_s2am_ard_3-2-1_52JBL_2021-11-10_final
2021-11-11 10:46:02	ga_s2am_ard_3-2-1_52JGL_2021-11-11_final
2021-12-20 11:11:13	ga_s2am_ard_3-2-1_52LGK_2021-12-20_final
2022-02-01 11:22:12	ga_s2am_ard_3-2-1_51KYB_2022-02-01_final
2022-03-03 11:22:59	ga_s2am_ard_3-2-1_51KYU_2022-03-03_final
2022-03-23 11:25:16	ga_s2am_ard_3-2-1_51JWK_2022-03-23_final
2022-05-02 11:24:28	ga_s2am_ard_3-2-1_51JYN_2022-05-02_final
2022-05-09 11:12:54	ga_s2am_ard_3-2-1_52KDD_2022-05-09_final
2022-06-11 11:26:39	ga_s2am_ard_3-2-1_51HVE_2022-06-11_final
2022-09-05 11:45:44	ga_s2am_ard_3-2-1_50JQP_2022-09-05_final.stac-item
2022-09-08 11:54:59	ga_s2am_ard_3-2-1_50JPS_2022-09-08_final.stac-item
2022-11-20 10:26:37	ga_s2am_ard_3-2-1_53HPC_2022-11-20_final.stac-item
2022-11-21 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2022-11-21_final.stac-item
2022-11-25 11:13:07	ga_s2am_ard_3-2-1_52KCC_2022-11-25_final.stac-item
2022-12-29 10:53:27	ga_s2am_ard_3-2-1_52KHA_2022-12-29_final.stac-item
2023-03-02 11:00:59	ga_s2am_ard_3-2-1_52LGL_2023-03-02_final.stac-item
2023-04-14 11:12:53	ga_s2am_ard_3-2-1_52KCD_2023-04-14_final.stac-item
2023-05-06 11:53:39	ga_s2am_ard_3-2-1_50KNB_2023-05-06_final.stac-item
2023-05-09 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-05-09_final.stac-item
2023-06-26 11:24:40	ga_s2am_ard_3-2-1_51JYM_2023-06-26_final.stac-item
2023-07-27 10:56:05	ga_s2am_ard_3-2-1_52JFL_2023-07-27_final.stac-item
2023-08-12 11:14:34	ga_s2am_ard_3-2-1_51JYN_2023-08-12_final.stac-item
2023-08-17 10:26:27	ga_s2am_ard_3-2-1_53HPD_2023-08-17_final.stac-item
2023-09-13 11:56:18	ga_s2am_ard_3-2-1_50JKM_2023-09-13_final.stac-item
2023-10-26 10:26:47	ga_s2am_ard_3-2-1_53HQB_2023-10-26_final.stac-item
2023-11-01 10:46:23	ga_s2am_ard_3-2-1_53HLD_2023-11-01_final.stac-item
2023-11-20 11:10:58	ga_s2am_ard_3-2-1_52LFL_2023-11-20_final.stac-item
2024-03-09 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2024-03-09_final.stac-item
2024-03-09 11:13:43	ga_s2am_ard_3-2-1_52KEV_2024-03-09_final.stac-item
2024-03-09 11:16:12	ga_s2am_ard_3-2-1_51JXF_2024-03-09_final.stac-item
2024-03-12 11:21:40	ga_s2am_ard_3-2-1_51LZD_2024-03-12_final.stac-item
2024-03-16 11:06:06	ga_s2am_ard_3-2-1_52JCL_2024-03-16_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