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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPP_2016-01-20_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_53HLD_2016-11-17_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JDT_2016-12-06_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUR_2016-12-12_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KCE_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KLA_2017-01-30_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNG_2017-06-13_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGJ_2017-12-16_final.stac-item
2017-12-18 10:57:10	ga_s2am_ard_3-2-1_52KHC_2017-12-18_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWN_2018-01-13_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KCA_2018-01-30_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52HBK_2018-02-19_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KEB_2018-02-19_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_52JFR_2018-02-23_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JBL_2018-03-01_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HXD_2018-03-11_final
2018-03-25 10:47:23	ga_s2am_ard_3-2-1_52JGL_2018-03-25_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_52HBK_2018-06-29_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGJ_2018-08-03_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JFM_2018-10-01_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JFN_2018-11-03_final
2018-11-06 11:15:47	ga_s2am_ard_3-2-1_52JBM_2018-11-06_final
2019-01-28 11:23:36	ga_s2am_ard_3-2-1_51KYR_2019-01-28_final
2019-03-23 11:06:01	ga_s2am_ard_3-2-1_52JDL_2019-03-23_final
2019-05-24 11:44:56	ga_s2am_ard_3-2-1_50JRS_2019-05-24_final
2019-06-19 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-06-19_final
2019-06-23 11:44:27	ga_s2am_ard_3-2-1_50KPU_2019-06-23_final
2019-08-07 10:55:26	ga_s2am_ard_3-2-1_52JEP_2019-08-07_final
2019-08-14 10:46:30	ga_s2am_ard_3-2-1_53HLD_2019-08-14_final
2019-08-23 11:13:42	ga_s2am_ard_3-2-1_51KZR_2019-08-23_final
2019-09-08 11:33:08	ga_s2am_ard_3-2-1_51KXT_2019-09-08_final
2019-09-25 11:25:46	ga_s2am_ard_3-2-1_51JWH_2019-09-25_final
2019-10-11 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-11_final
2019-10-26 10:55:59	ga_s2am_ard_3-2-1_52JGL_2019-10-26_final
2019-11-28 11:02:18	ga_s2am_ard_3-2-1_52KFF_2019-11-28_final
2019-12-27 11:35:36	ga_s2am_ard_3-2-1_51JVH_2019-12-27_final
2020-01-03 11:24:27	ga_s2am_ard_3-2-1_51JZM_2020-01-03_final
2020-01-06 11:33:33	ga_s2am_ard_3-2-1_51KXR_2020-01-06_final
2020-01-23 11:26:11	ga_s2am_ard_3-2-1_51JUF_2020-01-23_final
2020-02-05 11:32:46	ga_s2am_ard_3-2-1_51KXU_2020-02-05_final
2020-03-20 11:10:34	ga_s2am_ard_3-2-1_52LHM_2020-03-20_final
2020-03-29 11:45:58	ga_s2am_ard_3-2-1_51JTG_2020-03-29_final
2020-04-28 11:43:35	ga_s2am_ard_3-2-1_50KRB_2020-04-28_final
2020-05-15 11:32:45	ga_s2am_ard_3-2-1_51KXV_2020-05-15_final
2020-05-22 11:22:58	ga_s2am_ard_3-2-1_51KZU_2020-05-22_final
2020-06-18 11:16:32	ga_s2am_ard_3-2-1_51HXE_2020-06-18_final
2020-10-22 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-10-22_final
2020-12-04 11:46:22	ga_s2am_ard_3-2-1_50JQL_2020-12-04_final
2020-12-20 12:04:23	ga_s2am_ard_3-2-1_50KLU_2020-12-20_final
2021-01-14 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-01-14_final
2021-01-31 11:00:59	ga_s2am_ard_3-2-1_52LHL_2021-01-31_final
2021-02-05 11:54:08	ga_s2am_ard_3-2-1_50KNV_2021-02-05_final
2021-02-08 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-02-08_final
2021-03-12 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-03-12_final
2021-04-25 10:46:20	ga_s2am_ard_3-2-1_53HLD_2021-04-25_final
2021-05-23 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2021-05-23_final
2021-06-22 11:45:51	ga_s2am_ard_3-2-1_50JPN_2021-06-22_final
2021-07-29 11:36:20	ga_s2am_ard_3-2-1_51JTF_2021-07-29_final
2021-09-01 11:13:09	ga_s2am_ard_3-2-1_52KCC_2021-09-01_final
2021-09-04 11:26:43	ga_s2am_ard_3-2-1_51HXD_2021-09-04_final
2021-09-05 10:52:45	ga_s2am_ard_3-2-1_52KHD_2021-09-05_final
2021-11-30 11:10:37	ga_s2am_ard_3-2-1_52LHM_2021-11-30_final
2021-12-09 11:41:57	ga_s2am_ard_3-2-1_51LVC_2021-12-09_final
2022-01-25 11:33:13	ga_s2am_ard_3-2-1_51KWT_2022-01-25_final
2022-01-26 11:04:03	ga_s2am_ard_3-2-1_52KEU_2022-01-26_final
2022-02-04 11:31:42	ga_s2am_ard_3-2-1_51LXD_2022-02-04_final
2022-06-01 11:25:24	ga_s2am_ard_3-2-1_51JVK_2022-06-01_final
2022-06-10 11:57:04	ga_s2am_ard_3-2-1_50HLJ_2022-06-10_final
2022-07-10 11:55:19	ga_s2am_ard_3-2-1_50JNR_2022-07-10_final
2022-07-21 11:25:21	ga_s2am_ard_3-2-1_51JXK_2022-07-21_final
2022-08-16 11:45:59	ga_s2am_ard_3-2-1_50JQN_2022-08-16_final
2022-08-16 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-08-16_final
2022-10-03 11:03:53	ga_s2am_ard_3-2-1_52KFV_2022-10-03_final.stac-item
2022-10-16 11:13:17	ga_s2am_ard_3-2-1_52KBC_2022-10-16_final.stac-item
2022-10-26 11:15:50	ga_s2am_ard_3-2-1_52JCM_2022-10-26_final.stac-item
2023-01-10 11:36:15	ga_s2am_ard_3-2-1_51JTF_2023-01-10_final.stac-item
2023-01-10 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-01-10_final.stac-item
2023-01-20 11:35:39	ga_s2am_ard_3-2-1_51JUH_2023-01-20_final.stac-item
2023-01-31 11:03:44	ga_s2am_ard_3-2-1_52KFV_2023-01-31_final.stac-item
2023-01-31 11:04:26	ga_s2am_ard_3-2-1_52JES_2023-01-31_final.stac-item
2023-02-17 10:54:18	ga_s2am_ard_3-2-1_52JFT_2023-02-17_final.stac-item
2023-04-03 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-04-03_final.stac-item
2023-04-26 11:55:46	ga_s2am_ard_3-2-1_50JKP_2023-04-26_final.stac-item
2023-05-06 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-05-06_final.stac-item
2023-06-20 11:04:33	ga_s2am_ard_3-2-1_52JFS_2023-06-20_final.stac-item
2023-06-22 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-06-22_final.stac-item
2023-06-27 10:53:36	ga_s2am_ard_3-2-1_52KGA_2023-06-27_final.stac-item
2023-07-25 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-07-25_final.stac-item
2023-09-23 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-09-23_final.stac-item
2023-10-01 11:10:45	ga_s2am_ard_3-2-1_52LGM_2023-10-01_final.stac-item
2023-11-26 11:36:41	ga_s2am_ard_3-2-1_51HTD_2023-11-26_final.stac-item
2024-01-25 11:36:17	ga_s2am_ard_3-2-1_51HVE_2024-01-25_final.stac-item
2024-01-29 11:13:28	ga_s2am_ard_3-2-1_52KDA_2024-01-29_final.stac-item
2024-02-04 11:33:48	ga_s2am_ard_3-2-1_51KWQ_2024-02-04_final.stac-item
2024-03-03 10:54:19	ga_s2am_ard_3-2-1_52JGT_2024-03-03_final.stac-item
2024-03-15 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2024-03-15_final.stac-item
2024-03-26 11:03:10	ga_s2am_ard_3-2-1_52KHB_2024-03-26_final.stac-item
2024-03-26 11:04:37	ga_s2am_ard_3-2-1_52JDS_2024-03-26_final.stac-item
2024-03-26 11:04:58	ga_s2am_ard_3-2-1_52JFQ_2024-03-26_final.stac-item
2024-04-11 11:26:19	ga_s2am_ard_3-2-1_51JUF_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