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
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KEF_2015-12-22_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXV_2016-01-07_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51JUF_2016-04-26_final.stac-item
2016-05-24 10:55:20	ga_s2am_ard_3-2-1_52JFP_2016-05-24_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JXL_2016-07-22_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KFB_2016-08-15_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JCM_2016-09-14_final.stac-item
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KHA_2016-10-21_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JBL_2016-12-13_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52JDT_2016-12-26_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52KDG_2017-02-14_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52KDG_2017-03-06_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMM_2017-04-07_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_51JTH_2017-04-14_final.stac-item
2017-05-02 11:02:13	ga_s2am_ard_3-2-1_52KGV_2017-05-02_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JVH_2017-11-07_final
2017-12-21 11:13:57	ga_s2am_ard_3-2-1_52KBU_2017-12-21_final
2018-01-14 10:47:17	ga_s2am_ard_3-2-1_52KHD_2018-01-14_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYH_2018-03-01_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYJ_2018-03-11_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPR_2018-04-22_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWM_2018-06-05_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKM_2018-09-19_final
2019-01-12 11:06:33	ga_s2am_ard_3-2-1_51HYD_2019-01-12_final
2019-01-17 11:56:10	ga_s2am_ard_3-2-1_50JKM_2019-01-17_final
2019-01-19 10:55:56	ga_s2am_ard_3-2-1_52JFL_2019-01-19_final
2019-04-04 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2019-04-04_final
2019-04-08 11:24:42	ga_s2am_ard_3-2-1_51JXM_2019-04-08_final
2019-06-30 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2019-06-30_final
2019-07-08 10:55:04	ga_s2am_ard_3-2-1_52JGQ_2019-07-08_final
2019-07-28 10:56:09	ga_s2am_ard_3-2-1_52JEL_2019-07-28_final
2019-08-16 11:24:26	ga_s2am_ard_3-2-1_51JYN_2019-08-16_final
2019-08-18 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-08-18_final
2019-10-08 11:33:18	ga_s2am_ard_3-2-1_51KVT_2019-10-08_final
2019-10-22 11:13:32	ga_s2am_ard_3-2-1_52KCB_2019-10-22_final
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JGM_2019-10-27_final
2020-01-07 11:03:22	ga_s2am_ard_3-2-1_52KGA_2020-01-07_final
2020-01-09 11:44:40	ga_s2am_ard_3-2-1_51JTM_2020-01-09_final
2020-01-09 11:44:47	ga_s2am_ard_3-2-1_50JPS_2020-01-09_final
2020-01-10 11:16:06	ga_s2am_ard_3-2-1_51JXF_2020-01-10_final
2020-01-16 11:33:03	ga_s2am_ard_3-2-1_51KXT_2020-01-16_final
2020-02-02 11:22:26	ga_s2am_ard_3-2-1_52KCE_2020-02-02_final
2020-02-25 11:36:58	ga_s2am_ard_3-2-1_50HQH_2020-02-25_final
2020-03-13 11:25:35	ga_s2am_ard_3-2-1_51JXH_2020-03-13_final
2020-03-20 11:13:10	ga_s2am_ard_3-2-1_52KBC_2020-03-20_final
2020-03-30 11:13:26	ga_s2am_ard_3-2-1_52KEA_2020-03-30_final
2020-06-22 10:55:28	ga_s2am_ard_3-2-1_52JEP_2020-06-22_final
2020-07-24 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2020-07-24_final
2020-08-13 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-08-13_final
2020-08-23 11:35:39	ga_s2am_ard_3-2-1_51JTJ_2020-08-23_final
2020-09-25 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-09-25_final
2020-10-11 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-10-11_final
2020-11-21 11:33:47	ga_s2am_ard_3-2-1_51KVR_2020-11-21_final
2020-12-08 11:22:53	ga_s2am_ard_3-2-1_51KYU_2020-12-08_final
2020-12-10 12:05:48	ga_s2am_ard_3-2-1_50JLN_2020-12-10_final
2020-12-11 11:32:43	ga_s2am_ard_3-2-1_51KVV_2020-12-11_final
2020-12-11 11:34:25	ga_s2am_ard_3-2-1_51JVN_2020-12-11_final
2020-12-25 11:12:31	ga_s2am_ard_3-2-1_52KEE_2020-12-25_final
2021-01-07 11:22:47	ga_s2am_ard_3-2-1_52KCD_2021-01-07_final
2021-01-21 11:03:06	ga_s2am_ard_3-2-1_52KEC_2021-01-21_final
2021-02-26 11:26:40	ga_s2am_ard_3-2-1_51HWD_2021-02-26_final
2021-03-04 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-03-04_final
2021-04-30 11:33:06	ga_s2am_ard_3-2-1_51KXT_2021-04-30_final
2021-05-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2021-05-14_final
2021-05-29 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-05-29_final
2021-06-02 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-06-02_final
2021-08-01 11:46:08	ga_s2am_ard_3-2-1_50JPM_2021-08-01_final
2021-09-11 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-09-11_final
2021-09-28 11:03:53	ga_s2am_ard_3-2-1_52KEV_2021-09-28_final
2021-11-06 11:36:17	ga_s2am_ard_3-2-1_51JUF_2021-11-06_final
2021-11-19 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-11-19_final
2021-11-23 11:22:56	ga_s2am_ard_3-2-1_51KYU_2021-11-23_final
2021-11-23 11:23:06	ga_s2am_ard_3-2-1_52KBC_2021-11-23_final
2022-01-29 11:13:48	ga_s2am_ard_3-2-1_52KDV_2022-01-29_final
2022-02-02 10:55:49	ga_s2am_ard_3-2-1_52JEM_2022-02-02_final
2022-04-05 11:35:17	ga_s2am_ard_3-2-1_51JUK_2022-04-05_final
2022-04-18 11:43:22	ga_s2am_ard_3-2-1_51KTT_2022-04-18_final
2022-09-06 11:13:33	ga_s2am_ard_3-2-1_52KCB_2022-09-06_final.stac-item
2022-10-29 11:23:53	ga_s2am_ard_3-2-1_52KBV_2022-10-29_final.stac-item
2022-11-15 11:16:05	ga_s2am_ard_3-2-1_52JCL_2022-11-15_final.stac-item
2022-11-20 12:03:34	ga_s2am_ard_3-2-1_50KNB_2022-11-20_final.stac-item
2022-12-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-12-17_final.stac-item
2023-03-11 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-03-11_final.stac-item
2023-03-31 11:34:04	ga_s2am_ard_3-2-1_51KXP_2023-03-31_final.stac-item
2023-04-18 10:54:47	ga_s2am_ard_3-2-1_52JFR_2023-04-18_final.stac-item
2023-05-14 11:14:09	ga_s2am_ard_3-2-1_51KZP_2023-05-14_final.stac-item
2023-06-19 11:34:53	ga_s2am_ard_3-2-1_51JTM_2023-06-19_final.stac-item
2023-06-23 11:15:51	ga_s2am_ard_3-2-1_52JCM_2023-06-23_final.stac-item
2023-07-03 11:13:20	ga_s2am_ard_3-2-1_52KEB_2023-07-03_final.stac-item
2023-08-05 11:23:11	ga_s2am_ard_3-2-1_52KBC_2023-08-05_final.stac-item
2023-09-18 11:06:36	ga_s2am_ard_3-2-1_52HBJ_2023-09-18_final.stac-item
2023-11-12 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-11-12_final.stac-item
2023-11-13 11:22:47	ga_s2am_ard_3-2-1_52KCD_2023-11-13_final.stac-item
2024-01-22 11:23:13	ga_s2am_ard_3-2-1_52KBB_2024-01-22_final.stac-item
2024-01-25 11:34:30	ga_s2am_ard_3-2-1_51JTN_2024-01-25_final.stac-item
2024-02-04 11:37:02	ga_s2am_ard_3-2-1_50HPH_2024-02-04_final.stac-item
2024-02-11 11:22:59	ga_s2am_ard_3-2-1_52KCC_2024-02-11_final.stac-item
2024-03-03 10:54:17	ga_s2am_ard_3-2-1_52JHT_2024-03-03_final.stac-item
2024-03-22 11:23:26	ga_s2am_ard_3-2-1_51KYS_2024-03-22_final.stac-item
2024-03-22 11:26:01	ga_s2am_ard_3-2-1_51JVG_2024-03-22_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