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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JCM_2015-08-01_final.stac-item
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KGR_2015-11-20_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51HUD_2015-12-08_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KVB_2016-02-19_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JTL_2016-03-07_final.stac-item
2016-05-21 10:43:13	ga_s2am_ard_3-2-1_53JMN_2016-05-21_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HLD_2016-07-30_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50JMM_2016-08-17_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50HMK_2016-09-09_final.stac-item
2016-09-13 11:26:17	ga_s2am_ard_3-2-1_51LWC_2016-09-13_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLJ_2016-09-19_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KTT_2016-09-26_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_52JBR_2016-11-29_final.stac-item
2016-12-04 10:33:20	ga_s2am_ard_3-2-1_53JQN_2016-12-04_final.stac-item
2016-12-29 11:16:53	ga_s2am_ard_3-2-1_51LZE_2016-12-29_final
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KHV_2016-12-30_final
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_53JKG_2016-12-30_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HUC_2017-02-10_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HQK_2017-04-14_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JVL_2017-04-21_final.stac-item
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCQ_2017-06-01_final
2017-07-14 11:12:15	ga_s2am_ard_3-2-1_52KBU_2017-07-14_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53JNG_2017-07-25_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KUS_2017-07-30_final
2017-08-29 11:36:08	ga_s2am_ard_3-2-1_51HUE_2017-08-29_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52JCN_2017-09-02_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_51HUC_2017-09-08_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HUC_2017-11-27_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HWE_2017-12-04_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HNH_2017-12-10_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51KZP_2017-12-31_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HQH_2018-03-17_final
2018-04-11 10:37:28	ga_s2am_ard_3-2-1_53JLM_2018-04-11_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKN_2018-05-25_final
2018-09-12 10:21:59	ga_s2am_ard_3-2-1_53HPB_2018-09-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPJ_2018-10-13_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KUS_2018-11-02_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUR_2018-11-05_final
2018-12-01 12:03:43	ga_s2am_ard_3-2-1_50KMA_2018-12-01_final
2018-12-27 10:45:36	ga_s2am_ard_3-2-1_53JKG_2018-12-27_final
2019-04-04 11:46:31	ga_s2am_ard_3-2-1_50HQK_2019-04-04_final
2019-04-14 11:45:09	ga_s2am_ard_3-2-1_50JPR_2019-04-14_final
2019-05-03 10:34:07	ga_s2am_ard_3-2-1_53JQN_2019-05-03_final
2020-01-07 11:00:43	ga_s2am_ard_3-2-1_52LGM_2020-01-07_final
2020-02-28 11:46:21	ga_s2am_ard_3-2-1_50JML_2020-02-28_final
2020-06-11 11:26:11	ga_s2am_ard_3-2-1_51JUG_2020-06-11_final
2020-08-15 10:36:02	ga_s2am_ard_3-2-1_53HQE_2020-08-15_final
2020-08-22 10:26:42	ga_s2am_ard_3-2-1_53HPC_2020-08-22_final
2020-09-03 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-09-03_final
2020-11-14 11:42:31	ga_s2am_ard_3-2-1_51KVA_2020-11-14_final
2020-12-17 11:55:18	ga_s2am_ard_3-2-1_50JNQ_2020-12-17_final
2021-03-05 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-03-05_final
2021-03-22 11:03:55	ga_s2am_ard_3-2-1_52KGU_2021-03-22_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-05-29_final
2021-05-31 11:04:37	ga_s2am_ard_3-2-1_52JDS_2021-05-31_final
2021-07-12 11:46:16	ga_s2am_ard_3-2-1_50JMM_2021-07-12_final
2021-08-15 11:21:27	ga_s2am_ard_3-2-1_52LBK_2021-08-15_final
2021-08-27 10:25:07	ga_s2am_ard_3-2-1_53JQJ_2021-08-27_final
2021-09-20 11:42:38	ga_s2am_ard_3-2-1_51KVA_2021-09-20_final
2021-09-26 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-09-26_final
2021-11-08 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-11-08_final
2021-12-04 10:55:53	ga_s2am_ard_3-2-1_53JKF_2021-12-04_final
2021-12-09 11:41:57	ga_s2am_ard_3-2-1_51LVC_2021-12-09_final
2021-12-31 10:44:29	ga_s2am_ard_3-2-1_53JLM_2021-12-31_final
2022-01-14 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-01-14_final
2022-01-29 11:13:44	ga_s2am_ard_3-2-1_52KEV_2022-01-29_final
2022-02-01 11:23:03	ga_s2am_ard_3-2-1_52KCC_2022-02-01_final
2022-02-02 10:53:32	ga_s2am_ard_3-2-1_52KGA_2022-02-02_final
2022-03-30 11:12:05	ga_s2am_ard_3-2-1_52KEG_2022-03-30_final
2022-05-19 11:12:39	ga_s2am_ard_3-2-1_52KFE_2022-05-19_final
2022-05-21 11:55:09	ga_s2am_ard_3-2-1_50JPR_2022-05-21_final
2022-05-22 11:24:51	ga_s2am_ard_3-2-1_51JWM_2022-05-22_final
2022-05-22 11:25:27	ga_s2am_ard_3-2-1_51JYJ_2022-05-22_final
2022-07-06 10:36:41	ga_s2am_ard_3-2-1_53HLD_2022-07-06_final
2022-07-24 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-07-24_final
2022-10-22 11:36:45	ga_s2am_ard_3-2-1_51HUD_2022-10-22_final.stac-item
2022-11-12 11:02:15	ga_s2am_ard_3-2-1_52KHF_2022-11-12_final.stac-item
2022-11-15 11:16:29	ga_s2am_ard_3-2-1_51HXE_2022-11-15_final.stac-item
2022-11-20 10:26:33	ga_s2am_ard_3-2-1_53HQC_2022-11-20_final.stac-item
2022-12-21 11:32:13	ga_s2am_ard_3-2-1_51KWB_2022-12-21_final.stac-item
2023-01-04 11:12:27	ga_s2am_ard_3-2-1_52KFE_2023-01-04_final.stac-item
2023-01-08 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-01-08_final.stac-item
2023-03-27 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-03-27_final.stac-item
2023-03-27 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-27_final.stac-item
2023-06-10 11:04:07	ga_s2am_ard_3-2-1_52KEU_2023-06-10_final.stac-item
2023-06-10 11:05:05	ga_s2am_ard_3-2-1_52JEQ_2023-06-10_final.stac-item
2023-07-19 11:36:20	ga_s2am_ard_3-2-1_51JVF_2023-07-19_final.stac-item
2023-09-16 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-09-16_final.stac-item
2023-11-11 10:44:34	ga_s2am_ard_3-2-1_53JNL_2023-11-11_final.stac-item
2023-11-28 10:34:25	ga_s2am_ard_3-2-1_53JQL_2023-11-28_final.stac-item
2023-12-20 11:13:10	ga_s2am_ard_3-2-1_52KBC_2023-12-20_final.stac-item
2023-12-26 11:32:37	ga_s2am_ard_3-2-1_51KXV_2023-12-26_final.stac-item
2024-01-11 11:56:06	ga_s2am_ard_3-2-1_50JLM_2024-01-11_final.stac-item
2024-01-19 11:12:26	ga_s2am_ard_3-2-1_52KEE_2024-01-19_final.stac-item
2024-01-29 11:11:22	ga_s2am_ard_3-2-1_52LGJ_2024-01-29_final.stac-item
2024-03-02 11:24:19	ga_s2am_ard_3-2-1_52JBT_2024-03-02_final.stac-item
2024-03-06 11:03:06	ga_s2am_ard_3-2-1_52KEC_2024-03-06_final.stac-item
2024-03-19 11:13:31	ga_s2am_ard_3-2-1_52KEA_2024-03-19_final.stac-item
2024-04-11 11:24:59	ga_s2am_ard_3-2-1_51JWL_2024-04-11_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