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
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KHR_2015-11-20_final.stac-item
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50JLL_2015-11-24_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HYD_2016-01-11_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUS_2016-01-20_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_52JGM_2016-05-11_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KWT_2016-08-04_final.stac-item
2016-09-17 11:10:32	ga_s2am_ard_3-2-1_52LGL_2016-09-17_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_51JUG_2016-09-23_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50JQL_2016-09-26_final.stac-item
2016-11-06 11:07:10	ga_s2am_ard_3-2-1_52LFL_2016-11-06_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNH_2016-11-15_final.stac-item
2016-11-26 11:10:57	ga_s2am_ard_3-2-1_52KFC_2016-11-26_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KPC_2017-01-07_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KCD_2017-02-04_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KKA_2017-02-19_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-23_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWQ_2017-05-31_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KEB_2017-06-14_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KXS_2017-06-20_final
2017-08-23 11:12:16	ga_s2am_ard_3-2-1_52KEU_2017-08-23_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGM_2017-12-16_final
2018-01-21 10:43:00	ga_s2am_ard_3-2-1_52JGM_2018-01-21_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KVB_2018-02-08_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KYT_2018-05-06_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52JER_2018-05-07_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWQ_2018-06-05_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_51JTH_2018-06-18_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HUC_2018-07-05_final
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KXU_2018-07-22_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KXT_2018-07-25_final
2018-11-10 10:55:37	ga_s2am_ard_3-2-1_52JGM_2018-11-10_final
2018-12-12 11:33:04	ga_s2am_ard_3-2-1_51KWT_2018-12-12_final
2019-01-14 11:42:09	ga_s2am_ard_3-2-1_51KVB_2019-01-14_final
2019-02-07 11:26:44	ga_s2am_ard_3-2-1_51HUD_2019-02-07_final
2019-03-14 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-03-14_final
2019-03-18 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-03-18_final
2019-05-21 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-21_final
2019-12-27 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2020-01-20 11:13:12	ga_s2am_ard_3-2-1_52KDB_2020-01-20_final
2020-02-18 11:46:35	ga_s2am_ard_3-2-1_50HPK_2020-02-18_final
2020-03-06 11:36:57	ga_s2am_ard_3-2-1_51HTC_2020-03-06_final
2020-04-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-04-04_final
2020-04-28 11:42:48	ga_s2am_ard_3-2-1_51KUV_2020-04-28_final
2020-05-18 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-05-18_final
2020-05-18 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-05-18_final
2020-06-07 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-06-07_final
2020-06-19 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-06-19_final
2020-07-27 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-07-27_final
2020-10-09 11:21:31	ga_s2am_ard_3-2-1_51LZE_2020-10-09_final
2020-11-04 11:41:23	ga_s2am_ard_3-2-1_51LUF_2020-11-04_final
2020-12-01 11:35:26	ga_s2am_ard_3-2-1_51JVJ_2020-12-01_final
2020-12-15 11:10:30	ga_s2am_ard_3-2-1_52LFN_2020-12-15_final.stac-item
2020-12-18 11:23:33	ga_s2am_ard_3-2-1_51KZR_2020-12-18_final
2021-02-03 11:11:44	ga_s2am_ard_3-2-1_52LFH_2021-02-03_final
2021-04-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-04-30_final
2021-05-03 11:43:27	ga_s2am_ard_3-2-1_51KUS_2021-05-03_final
2021-05-07 11:23:48	ga_s2am_ard_3-2-1_52KBV_2021-05-07_final
2021-06-02 11:44:52	ga_s2am_ard_3-2-1_51JUL_2021-06-02_final
2021-06-26 11:25:40	ga_s2am_ard_3-2-1_51JXH_2021-06-26_final
2021-07-09 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-07-09_final
2021-08-05 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2021-08-05_final
2021-10-01 11:14:57	ga_s2am_ard_3-2-1_52JBR_2021-10-01_final
2021-10-11 11:16:46	ga_s2am_ard_3-2-1_51HXD_2021-10-11_final
2021-10-14 11:22:28	ga_s2am_ard_3-2-1_52KBF_2021-10-14_final
2022-02-11 11:24:58	ga_s2am_ard_3-2-1_51JWL_2022-02-11_final
2022-03-19 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-03-19_final
2022-05-02 11:23:34	ga_s2am_ard_3-2-1_51KXS_2022-05-02_final
2022-05-18 11:42:33	ga_s2am_ard_3-2-1_51KVA_2022-05-18_final
2022-05-25 11:36:34	ga_s2am_ard_3-2-1_50JPL_2022-05-25_final
2022-07-11 11:24:10	ga_s2am_ard_3-2-1_51KXQ_2022-07-11_final
2022-07-14 11:32:38	ga_s2am_ard_3-2-1_51KXA_2022-07-14_final
2022-08-23 11:33:21	ga_s2am_ard_3-2-1_51KXT_2022-08-23_final.stac-item
2022-09-09 11:27:09	ga_s2am_ard_3-2-1_51HVC_2022-09-09_final.stac-item
2022-10-22 11:36:28	ga_s2am_ard_3-2-1_50JPL_2022-10-22_final.stac-item
2022-11-10 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-11-10_final.stac-item
2022-11-19 10:55:36	ga_s2am_ard_3-2-1_52JEN_2022-11-19_final.stac-item
2022-12-08 11:26:26	ga_s2am_ard_3-2-1_51HWE_2022-12-08_final.stac-item
2023-01-02 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-01-02_final.stac-item
2023-02-22 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-22_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-02-28_final.stac-item
2023-03-01 11:32:17	ga_s2am_ard_3-2-1_51KVB_2023-03-01_final.stac-item
2023-05-03 11:42:28	ga_s2am_ard_3-2-1_51KVA_2023-05-03_final.stac-item
2023-06-25 11:55:45	ga_s2am_ard_3-2-1_50JLP_2023-06-25_final.stac-item
2023-07-08 12:04:04	ga_s2am_ard_3-2-1_50KKA_2023-07-08_final.stac-item
2023-07-29 11:34:19	ga_s2am_ard_3-2-1_51KVP_2023-07-29_final.stac-item
2023-08-21 11:44:26	ga_s2am_ard_3-2-1_50KQU_2023-08-21_final.stac-item
2023-10-08 11:00:38	ga_s2am_ard_3-2-1_52LHM_2023-10-08_final.stac-item
2023-10-10 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-10-10_final.stac-item
2023-11-18 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-11-18_final.stac-item
2024-01-11 11:53:26	ga_s2am_ard_3-2-1_50KMC_2024-01-11_final.stac-item
2024-01-25 11:33:24	ga_s2am_ard_3-2-1_51KVS_2024-01-25_final.stac-item
2024-02-04 11:31:14	ga_s2am_ard_3-2-1_52LBK_2024-02-04_final.stac-item
2024-02-12 10:52:17	ga_s2am_ard_3-2-1_52KHF_2024-02-12_final.stac-item
2024-02-13 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-02-13_final.stac-item
2024-02-14 11:31:54	ga_s2am_ard_3-2-1_51LXC_2024-02-14_final.stac-item
2024-03-08 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2024-03-08_final.stac-item
2024-03-15 11:34:10	ga_s2am_ard_3-2-1_51KWP_2024-03-15_final.stac-item
2024-04-11 11:23:25	ga_s2am_ard_3-2-1_51KYS_2024-04-11_final.stac-item
2024-04-21 11:23:17	ga_s2am_ard_3-2-1_51KXT_2024-04-21_final.stac-item
2024-05-14 11:33:45	ga_s2am_ard_3-2-1_51KWR_2024-05-14_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