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
2015-09-13 11:13:11	ga_s2am_ard_3-2-1_52KBV_2015-09-13_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JFM_2016-01-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUU_2016-02-19_final.stac-item
2016-06-04 10:26:42	ga_s2am_ard_3-2-1_53HPB_2016-06-04_final.stac-item
2016-08-03 10:26:41	ga_s2am_ard_3-2-1_53HPC_2016-08-03_final.stac-item
2016-08-11 11:17:03	ga_s2am_ard_3-2-1_51KZA_2016-08-11_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KHC_2016-08-15_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_52KEV_2016-09-07_final.stac-item
2016-09-24 11:00:36	ga_s2am_ard_3-2-1_52LHM_2016-09-24_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52KEU_2016-10-04_final.stac-item
2016-10-12 10:25:59	ga_s2am_ard_3-2-1_53HNB_2016-10-12_final.stac-item
2016-11-04 10:31:19	ga_s2am_ard_3-2-1_53KQP_2016-11-04_final.stac-item
2016-11-16 11:07:11	ga_s2am_ard_3-2-1_52LFL_2016-11-16_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KCB_2017-01-18_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2017-02-19_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KFF_2017-02-24_final
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53JRM_2017-03-04_final
2017-05-02 11:03:50	ga_s2am_ard_3-2-1_52JET_2017-05-02_final
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53JNM_2017-08-11_final
2017-11-19 10:28:06	ga_s2am_ard_3-2-1_53KRP_2017-11-19_final
2017-12-21 11:12:09	ga_s2am_ard_3-2-1_52KDD_2017-12-21_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_52JFM_2017-12-25_final
2018-03-18 11:05:41	ga_s2am_ard_3-2-1_52HCK_2018-03-18_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52LBK_2018-05-03_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52LDJ_2018-05-03_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_52KBU_2018-07-12_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52JCN_2018-07-19_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KZA_2018-08-11_final
2018-09-04 10:57:14	ga_s2am_ard_3-2-1_52KEV_2018-09-04_final
2018-09-15 10:27:04	ga_s2am_ard_3-2-1_53HPB_2018-09-15_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51JVF_2018-11-02_final
2018-11-14 10:34:31	ga_s2am_ard_3-2-1_53JPL_2018-11-14_final
2018-11-22 11:36:31	ga_s2am_ard_3-2-1_50HPK_2018-11-22_final
2019-01-15 11:13:15	ga_s2am_ard_3-2-1_52KDB_2019-01-15_final
2019-01-21 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2019-01-21_final
2019-02-05 10:44:03	ga_s2am_ard_3-2-1_53JNN_2019-02-05_final
2019-02-13 11:43:00	ga_s2am_ard_3-2-1_51KTU_2019-02-13_final
2019-03-08 11:53:15	ga_s2am_ard_3-2-1_50KPC_2019-03-08_final
2019-04-28 11:23:39	ga_s2am_ard_3-2-1_51KZR_2019-04-28_final
2019-05-30 12:04:31	ga_s2am_ard_3-2-1_50KKU_2019-05-30_final
2019-06-16 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-06-16_final
2019-07-20 11:34:47	ga_s2am_ard_3-2-1_51JVM_2019-07-20_final
2019-09-11 11:41:54	ga_s2am_ard_3-2-1_51LWC_2019-09-11_final
2019-10-15 11:21:38	ga_s2am_ard_3-2-1_52LCJ_2019-10-15_final
2019-11-04 11:22:25	ga_s2am_ard_3-2-1_52KBF_2019-11-04_final
2019-12-03 11:54:12	ga_s2am_ard_3-2-1_50KQU_2019-12-03_final
2020-01-16 11:34:37	ga_s2am_ard_3-2-1_51JVM_2020-01-16_final
2020-04-19 11:10:44	ga_s2am_ard_3-2-1_52LGM_2020-04-19_final
2020-04-25 11:34:12	ga_s2am_ard_3-2-1_51KWP_2020-04-25_final
2020-05-06 11:05:20	ga_s2am_ard_3-2-1_52JEP_2020-05-06_final
2020-05-09 11:14:28	ga_s2am_ard_3-2-1_51JZN_2020-05-09_final
2020-06-08 11:13:27	ga_s2am_ard_3-2-1_52KBB_2020-06-08_final
2020-07-28 11:13:34	ga_s2am_ard_3-2-1_51KZS_2020-07-28_final
2020-08-03 11:34:11	ga_s2am_ard_3-2-1_51KXP_2020-08-03_final
2020-08-12 10:25:11	ga_s2am_ard_3-2-1_53JQJ_2020-08-12_final
2020-08-12 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-12_final
2020-09-03 11:06:15	ga_s2am_ard_3-2-1_52JBL_2020-09-03_final
2020-09-09 11:23:20	ga_s2am_ard_3-2-1_52KCB_2020-09-09_final
2020-09-30 10:55:33	ga_s2am_ard_3-2-1_52JGN_2020-09-30_final
2020-11-08 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2020-11-08_final
2020-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2020-11-11_final
2020-11-23 10:33:51	ga_s2am_ard_3-2-1_53KQP_2020-11-23_final
2020-12-25 11:13:29	ga_s2am_ard_3-2-1_52KEA_2020-12-25_final
2021-01-02 10:34:33	ga_s2am_ard_3-2-1_53JQL_2021-01-02_final
2021-01-21 11:02:40	ga_s2am_ard_3-2-1_53KKU_2021-01-21_final
2021-02-14 10:42:55	ga_s2am_ard_3-2-1_53KMT_2021-02-14_final
2021-02-15 11:55:58	ga_s2am_ard_3-2-1_50JKN_2021-02-15_final
2021-03-02 11:03:49	ga_s2am_ard_3-2-1_52KEV_2021-03-02_final
2021-03-05 11:15:22	ga_s2am_ard_3-2-1_52JBP_2021-03-05_final
2021-03-21 11:34:13	ga_s2am_ard_3-2-1_51KVP_2021-03-21_final
2021-03-24 11:42:26	ga_s2am_ard_3-2-1_51KVA_2021-03-24_final
2021-04-05 10:45:47	ga_s2am_ard_3-2-1_53JMF_2021-04-05_final
2021-07-09 11:32:49	ga_s2am_ard_3-2-1_51KVV_2021-07-09_final
2021-07-18 12:05:00	ga_s2am_ard_3-2-1_50JKS_2021-07-18_final
2021-08-03 10:43:36	ga_s2am_ard_3-2-1_53KPQ_2021-08-03_final
2021-09-04 11:24:52	ga_s2am_ard_3-2-1_51JYL_2021-09-04_final
2021-09-08 11:02:40	ga_s2am_ard_3-2-1_52KHD_2021-09-08_final
2021-10-04 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2021-10-04_final
2021-11-04 10:54:19	ga_s2am_ard_3-2-1_52JGT_2021-11-04_final
2021-11-22 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-11-22_final
2022-02-08 11:15:32	ga_s2am_ard_3-2-1_52JCN_2022-02-08_final
2022-03-09 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-03-09_final
2022-04-07 10:33:39	ga_s2am_ard_3-2-1_53KPQ_2022-04-07_final
2022-04-20 10:44:25	ga_s2am_ard_3-2-1_53JNM_2022-04-20_final
2022-05-28 11:42:17	ga_s2am_ard_3-2-1_51KWB_2022-05-28_final
2022-07-11 11:25:37	ga_s2am_ard_3-2-1_51JXJ_2022-07-11_final
2022-07-31 11:23:53	ga_s2am_ard_3-2-1_51KXR_2022-07-31_final
2022-08-18 10:45:27	ga_s2am_ard_3-2-1_53JKJ_2022-08-18_final
2022-09-16 11:11:28	ga_s2am_ard_3-2-1_52LEK_2022-09-16_final.stac-item
2022-11-25 11:14:28	ga_s2am_ard_3-2-1_51JYN_2022-11-25_final.stac-item
2023-01-12 10:33:10	ga_s2am_ard_3-2-1_53KPS_2023-01-12_final.stac-item
2023-04-02 10:33:48	ga_s2am_ard_3-2-1_53KQP_2023-04-02_final.stac-item
2023-06-29 11:31:22	ga_s2am_ard_3-2-1_52LBK_2023-06-29_final.stac-item
2023-07-23 11:13:26	ga_s2am_ard_3-2-1_52KCB_2023-07-23_final.stac-item
2023-09-18 11:02:47	ga_s2am_ard_3-2-1_52KGD_2023-09-18_final.stac-item
2023-10-25 10:55:39	ga_s2am_ard_3-2-1_53JKG_2023-10-25_final.stac-item
2023-11-03 11:22:22	ga_s2am_ard_3-2-1_51KZA_2023-11-03_final.stac-item
2023-12-25 10:27:02	ga_s2am_ard_3-2-1_53HPA_2023-12-25_final.stac-item
2024-01-16 11:01:09	ga_s2am_ard_3-2-1_52LGK_2024-01-16_final.stac-item
2024-02-13 12:04:40	ga_s2am_ard_3-2-1_49JHN_2024-02-13_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