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
2015-12-26 10:54:12	ga_s2am_ard_3-2-1_53KLS_2015-12-26_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUR_2016-04-29_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVP_2016-05-16_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXU_2016-07-02_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53JMF_2016-07-30_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51KZR_2016-08-18_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52KGU_2016-09-01_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVT_2017-01-14_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52LHN_2017-02-14_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2017-02-19_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLM_2017-02-26_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53KNB_2017-02-28_final
2017-03-06 11:07:05	ga_s2am_ard_3-2-1_52LGL_2017-03-06_final
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JKM_2017-04-17_final
2017-06-13 11:40:49	ga_s2am_ard_3-2-1_51LUE_2017-06-13_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51HUD_2017-06-27_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKP_2017-09-07_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JPL_2017-09-21_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGK_2017-10-07_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRU_2017-12-30_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JXH_2018-02-19_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLN_2018-03-03_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVU_2018-07-18_final
2018-08-08 11:07:12	ga_s2am_ard_3-2-1_52KDB_2018-08-08_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KZB_2018-08-11_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51KXT_2018-09-10_final
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53JMJ_2018-10-25_final
2018-12-26 11:11:26	ga_s2am_ard_3-2-1_52LEJ_2018-12-26_final
2019-02-13 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-02-13_final
2019-04-15 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2019-04-15_final
2019-04-23 10:37:02	ga_s2am_ard_3-2-1_53HPA_2019-04-23_final
2019-05-01 11:32:44	ga_s2am_ard_3-2-1_51KXV_2019-05-01_final
2019-05-28 11:27:03	ga_s2am_ard_3-2-1_51HVC_2019-05-28_final
2019-07-14 11:14:58	ga_s2am_ard_3-2-1_52JBR_2019-07-14_final
2019-07-24 11:15:30	ga_s2am_ard_3-2-1_51JYJ_2019-07-24_final
2019-08-02 11:46:38	ga_s2am_ard_3-2-1_50HPK_2019-08-02_final
2019-08-12 11:43:07	ga_s2am_ard_3-2-1_51KUU_2019-08-12_final
2019-09-18 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2019-09-18_final
2019-10-10 10:35:51	ga_s2am_ard_3-2-1_53JPF_2019-10-10_final
2019-10-28 11:36:23	ga_s2am_ard_3-2-1_50JQL_2019-10-28_final
2019-11-28 11:04:24	ga_s2am_ard_3-2-1_52JGS_2019-11-28_final
2019-12-30 11:42:16	ga_s2am_ard_3-2-1_51KWA_2019-12-30_final
2019-12-31 11:16:39	ga_s2am_ard_3-2-1_51HWD_2019-12-31_final
2020-01-03 11:24:38	ga_s2am_ard_3-2-1_52JBR_2020-01-03_final
2020-01-16 11:34:08	ga_s2am_ard_3-2-1_51KVP_2020-01-16_final
2020-01-20 11:16:19	ga_s2am_ard_3-2-1_51HYE_2020-01-20_final
2020-04-12 11:21:31	ga_s2am_ard_3-2-1_52LDJ_2020-04-12_final
2020-04-18 11:42:13	ga_s2am_ard_3-2-1_51KVB_2020-04-18_final
2020-04-18 11:43:11	ga_s2am_ard_3-2-1_51KVT_2020-04-18_final
2020-07-21 11:23:44	ga_s2am_ard_3-2-1_51KYR_2020-07-21_final
2020-08-15 10:35:21	ga_s2am_ard_3-2-1_53JMJ_2020-08-15_final
2020-08-16 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-08-16_final
2020-12-12 11:02:59	ga_s2am_ard_3-2-1_52KFC_2020-12-12_final
2021-01-01 11:05:18	ga_s2am_ard_3-2-1_52JEP_2021-01-01_final
2021-01-22 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-01-22_final
2021-02-12 11:45:42	ga_s2am_ard_3-2-1_51JTH_2021-02-12_final
2021-03-01 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-03-01_final
2021-03-11 11:34:15	ga_s2am_ard_3-2-1_51JXN_2021-03-11_final
2021-03-24 11:42:34	ga_s2am_ard_3-2-1_51KVA_2021-03-24_final
2021-05-20 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-05-20_final
2021-07-07 10:54:00	ga_s2am_ard_3-2-1_52KHU_2021-07-07_final
2021-08-07 12:05:32	ga_s2am_ard_3-2-1_49JGK_2021-08-07_final
2021-10-19 12:14:47	ga_s2am_ard_3-2-1_49JGN_2021-10-19_final
2021-10-31 11:14:33	ga_s2am_ard_3-2-1_51JYN_2021-10-31_final
2021-12-03 11:25:30	ga_s2am_ard_3-2-1_51JVJ_2021-12-03_final
2021-12-06 11:31:56	ga_s2am_ard_3-2-1_51LXC_2021-12-06_final
2021-12-13 11:26:46	ga_s2am_ard_3-2-1_51HUD_2021-12-13_final
2022-01-26 11:01:15	ga_s2am_ard_3-2-1_52LGK_2022-01-26_final
2022-02-08 11:10:24	ga_s2am_ard_3-2-1_52LHN_2022-02-08_final
2022-02-21 11:21:27	ga_s2am_ard_3-2-1_51LZE_2022-02-21_final
2022-02-24 11:35:58	ga_s2am_ard_3-2-1_51JVG_2022-02-24_final
2022-03-21 10:45:50	ga_s2am_ard_3-2-1_52JGM_2022-03-21_final
2022-05-25 11:32:33	ga_s2am_ard_3-2-1_51KXA_2022-05-25_final
2022-06-25 11:03:11	ga_s2am_ard_3-2-1_52KGC_2022-06-25_final
2022-07-11 11:23:19	ga_s2am_ard_3-2-1_52KBC_2022-07-11_final
2022-07-16 12:15:12	ga_s2am_ard_3-2-1_49JFM_2022-07-16_final
2022-07-25 11:03:59	ga_s2am_ard_3-2-1_52KEV_2022-07-25_final
2022-07-31 11:24:14	ga_s2am_ard_3-2-1_52KBU_2022-07-31_final
2022-08-27 11:13:42	ga_s2am_ard_3-2-1_52KEA_2022-08-27_final
2022-12-24 11:43:41	ga_s2am_ard_3-2-1_51KUR_2022-12-24_final.stac-item
2022-12-30 10:26:43	ga_s2am_ard_3-2-1_53HPB_2022-12-30_final.stac-item
2023-01-16 11:54:44	ga_s2am_ard_3-2-1_50JPS_2023-01-16_final.stac-item
2023-02-01 10:36:23	ga_s2am_ard_3-2-1_53HMD_2023-02-01_final.stac-item
2023-02-17 10:55:50	ga_s2am_ard_3-2-1_53JKF_2023-02-17_final.stac-item
2023-02-21 10:35:54	ga_s2am_ard_3-2-1_53HQE_2023-02-21_final.stac-item
2023-03-20 10:26:52	ga_s2am_ard_3-2-1_53HNB_2023-03-20_final.stac-item
2023-03-31 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-03-31_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-05-30 11:32:58	ga_s2am_ard_3-2-1_51KXU_2023-05-30_final.stac-item
2023-06-06 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2023-06-06_final.stac-item
2023-06-24 10:41:52	ga_s2am_ard_3-2-1_53KQB_2023-06-24_final.stac-item
2023-07-05 11:53:15	ga_s2am_ard_3-2-1_50KRC_2023-07-05_final.stac-item
2023-07-11 10:35:06	ga_s2am_ard_3-2-1_53JQJ_2023-07-11_final.stac-item
2023-08-08 11:33:32	ga_s2am_ard_3-2-1_51KWS_2023-08-08_final.stac-item
2024-02-05 11:05:41	ga_s2am_ard_3-2-1_52JEM_2024-02-05_final.stac-item
2024-02-06 10:32:32	ga_s2am_ard_3-2-1_53KQU_2024-02-06_final.stac-item
2024-02-14 11:33:42	ga_s2am_ard_3-2-1_51KVR_2024-02-14_final.stac-item
2024-02-21 11:22:17	ga_s2am_ard_3-2-1_52KCF_2024-02-21_final.stac-item
2024-03-09 11:10:18	ga_s2am_ard_3-2-1_52LFP_2024-03-09_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