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
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KMV_2016-05-05_final.stac-item
2016-05-08 10:34:29	ga_s2am_ard_3-2-1_53HND_2016-05-08_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HLG_2016-06-11_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KUA_2016-08-17_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRC_2016-12-05_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVU_2017-01-24_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KMB_2017-03-11_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JLM_2017-03-18_final
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JFM_2017-04-09_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JFR_2017-06-28_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HMJ_2017-08-05_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HQJ_2017-09-01_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_50JQP_2017-09-08_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JCN_2017-11-08_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KFD_2018-01-27_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNP_2018-02-01_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KVV_2018-02-08_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52LHL_2018-02-16_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVH_2018-02-25_final
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52LFJ_2018-02-26_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KUP_2018-03-10_final
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KVB_2018-03-27_final
2018-04-01 10:37:26	ga_s2am_ard_3-2-1_53HMD_2018-04-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HLH_2018-07-01_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFL_2018-08-02_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HPJ_2018-08-24_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51JXF_2018-10-27_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HLD_2018-11-04_final
2019-04-13 10:36:12	ga_s2am_ard_3-2-1_53HME_2019-04-13_final
2019-05-11 11:33:07	ga_s2am_ard_3-2-1_51KWU_2019-05-11_final
2019-06-10 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2019-06-10_final
2019-06-23 11:46:05	ga_s2am_ard_3-2-1_50JNN_2019-06-23_final
2019-06-24 11:14:45	ga_s2am_ard_3-2-1_51JYM_2019-06-24_final
2019-07-22 10:34:30	ga_s2am_ard_3-2-1_53JNM_2019-07-22_final
2019-07-23 11:47:11	ga_s2am_ard_3-2-1_50HNH_2019-07-23_final
2019-09-19 11:06:06	ga_s2am_ard_3-2-1_52JCL_2019-09-19_final
2019-11-24 11:23:28	ga_s2am_ard_3-2-1_51KXS_2019-11-24_final
2019-12-11 11:14:25	ga_s2am_ard_3-2-1_51JYN_2019-12-11_final
2020-01-10 11:11:07	ga_s2am_ard_3-2-1_52LGK_2020-01-10_final
2020-02-05 11:32:53	ga_s2am_ard_3-2-1_51KVU_2020-02-05_final
2020-03-03 11:22:19	ga_s2am_ard_3-2-1_51KZA_2020-03-03_final
2020-04-25 11:34:38	ga_s2am_ard_3-2-1_50JRT_2020-04-25_final
2020-05-18 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-05-18_final.stac-item
2020-05-19 11:13:27	ga_s2am_ard_3-2-1_52KDB_2020-05-19_final
2020-07-07 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-07-07_final
2020-08-10 11:24:10	ga_s2am_ard_3-2-1_51KWQ_2020-08-10_final
2020-08-13 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-08-13_final
2020-08-28 10:44:11	ga_s2am_ard_3-2-1_53JNN_2020-08-28_final
2020-11-08 11:23:29	ga_s2am_ard_3-2-1_51KYS_2020-11-08_final
2020-11-15 11:13:55	ga_s2am_ard_3-2-1_52KCV_2020-11-15_final
2020-11-18 11:24:07	ga_s2am_ard_3-2-1_52KBU_2020-11-18_final
2021-02-06 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-02-06_final
2021-02-13 11:13:39	ga_s2am_ard_3-2-1_51KZR_2021-02-13_final
2021-03-13 10:35:55	ga_s2am_ard_3-2-1_53JMF_2021-03-13_final
2021-04-15 10:46:03	ga_s2am_ard_3-2-1_53HLE_2021-04-15_final
2021-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-05-13_final
2021-06-22 11:42:28	ga_s2am_ard_3-2-1_51KVA_2021-06-22_final
2021-07-07 10:54:18	ga_s2am_ard_3-2-1_52JGT_2021-07-07_final
2021-07-21 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2021-07-21_final
2021-08-07 10:27:08	ga_s2am_ard_3-2-1_53HPA_2021-08-07_final
2021-10-31 11:14:54	ga_s2am_ard_3-2-1_52JCR_2021-10-31_final
2021-11-16 11:36:22	ga_s2am_ard_3-2-1_51HUE_2021-11-16_final
2021-11-23 11:24:32	ga_s2am_ard_3-2-1_52JBS_2021-11-23_final
2022-02-16 10:36:18	ga_s2am_ard_3-2-1_53HPD_2022-02-16_final
2022-03-03 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-03-03_final
2022-04-02 11:24:39	ga_s2am_ard_3-2-1_51JYM_2022-04-02_final
2022-04-13 10:54:36	ga_s2am_ard_3-2-1_52JFS_2022-04-13_final
2022-04-17 10:35:30	ga_s2am_ard_3-2-1_53JMH_2022-04-17_final
2022-05-11 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2022-05-11_final
2022-06-05 11:03:30	ga_s2am_ard_3-2-1_52KHA_2022-06-05_final
2022-06-10 11:56:17	ga_s2am_ard_3-2-1_50JMM_2022-06-10_final
2022-07-14 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-07-14_final
2022-09-02 11:33:25	ga_s2am_ard_3-2-1_51KWT_2022-09-02_final.stac-item
2022-09-05 11:46:12	ga_s2am_ard_3-2-1_50JQM_2022-09-05_final.stac-item
2022-10-02 11:37:05	ga_s2am_ard_3-2-1_51HUC_2022-10-02_final.stac-item
2022-11-25 11:13:29	ga_s2am_ard_3-2-1_52KEA_2022-11-25_final.stac-item
2022-12-15 11:13:22	ga_s2am_ard_3-2-1_52KCB_2022-12-15_final.stac-item
2023-01-04 11:14:36	ga_s2am_ard_3-2-1_52JDS_2023-01-04_final.stac-item
2023-01-06 13:31:33	ga_s2am_ard_3-2-1_46LHN_2023-01-06_interim.stac-item
2023-01-24 11:10:54	ga_s2am_ard_3-2-1_52LGL_2023-01-24_final.stac-item
2023-01-31 11:01:41	ga_s2am_ard_3-2-1_52LHH_2023-01-31_final.stac-item
2023-02-20 11:01:25	ga_s2am_ard_3-2-1_52LHJ_2023-02-20_final.stac-item
2023-02-23 11:10:40	ga_s2am_ard_3-2-1_52LGM_2023-02-23_final.stac-item
2023-03-08 11:26:39	ga_s2am_ard_3-2-1_51HWD_2023-03-08_final.stac-item
2023-05-06 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-06_final.stac-item
2023-06-25 10:16:55	ga_s2am_ard_3-2-1_53HQB_2023-06-25_final.stac-item
2023-07-25 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2023-07-25_final.stac-item
2023-08-08 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-08-08_final.stac-item
2023-08-11 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-08-11_final.stac-item
2023-12-11 10:45:09	ga_s2am_ard_3-2-1_53JKJ_2023-12-11_final.stac-item
2023-12-13 11:23:20	ga_s2am_ard_3-2-1_51KYS_2023-12-13_final.stac-item
2024-01-03 10:55:36	ga_s2am_ard_3-2-1_53JKG_2024-01-03_final.stac-item
2024-01-16 11:01:09	ga_s2am_ard_3-2-1_52LGK_2024-01-16_final.stac-item
2024-01-19 11:12:05	ga_s2am_ard_3-2-1_52KFF_2024-01-19_final.stac-item
2024-01-26 11:02:42	ga_s2am_ard_3-2-1_52KFD_2024-01-26_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_50KNA_2024-02-03_final.stac-item
2024-02-14 11:32:52	ga_s2am_ard_3-2-1_51KVU_2024-02-14_final.stac-item
2024-03-02 11:23:39	ga_s2am_ard_3-2-1_51KYR_2024-03-02_final.stac-item
2024-03-05 11:37:03	ga_s2am_ard_3-2-1_50HQH_2024-03-05_final.stac-item
2024-03-12 11:26:22	ga_s2am_ard_3-2-1_51HXE_2024-03-12_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