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_51KUV_2016-01-20_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51JVF_2016-05-26_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KBV_2016-06-12_final.stac-item
2016-07-10 10:45:19	ga_s2am_ard_3-2-1_53HLE_2016-07-10_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JEQ_2016-08-25_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KWQ_2016-11-22_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JDT_2016-12-06_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KDV_2016-12-23_final
2016-12-30 10:48:09	ga_s2am_ard_3-2-1_52KHF_2016-12-30_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KUT_2017-02-10_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JWJ_2017-02-27_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXG_2017-03-19_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JUN_2017-04-21_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_50JRT_2017-05-31_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYM_2017-06-27_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_52KBA_2017-07-17_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXN_2017-10-05_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JBL_2017-12-11_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-30 11:10:32	ga_s2am_ard_3-2-1_52LFL_2018-01-30_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KZR_2018-02-02_final
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_51JYG_2018-04-10_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KEU_2018-06-06_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50KQA_2018-06-11_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50KNC_2018-11-01_final
2018-12-12 11:33:57	ga_s2am_ard_3-2-1_51KXP_2018-12-12_final
2019-01-08 11:22:55	ga_s2am_ard_3-2-1_51KXU_2019-01-08_final
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final
2019-02-24 11:16:18	ga_s2am_ard_3-2-1_51HYE_2019-02-24_final
2019-03-04 10:36:19	ga_s2am_ard_3-2-1_53HMD_2019-03-04_final
2019-04-28 11:24:59	ga_s2am_ard_3-2-1_51JXL_2019-04-28_final
2019-06-16 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-06-16_final
2019-09-07 10:27:04	ga_s2am_ard_3-2-1_53HPA_2019-09-07_final
2019-12-08 11:06:00	ga_s2am_ard_3-2-1_52JDL_2019-12-08_final
2020-01-06 11:33:33	ga_s2am_ard_3-2-1_51KXR_2020-01-06_final
2020-01-09 11:42:54	ga_s2am_ard_3-2-1_51KUU_2020-01-09_final
2020-01-09 11:44:22	ga_s2am_ard_3-2-1_50JQT_2020-01-09_final
2020-01-30 11:13:40	ga_s2am_ard_3-2-1_52KDV_2020-01-30_final
2020-04-26 11:05:32	ga_s2am_ard_3-2-1_52JEN_2020-04-26_final
2020-05-09 11:16:06	ga_s2am_ard_3-2-1_52JCL_2020-05-09_final
2020-05-12 11:24:05	ga_s2am_ard_3-2-1_51KYP_2020-05-12_final
2020-06-01 11:22:58	ga_s2am_ard_3-2-1_52KBD_2020-06-01_final
2020-06-18 11:14:44	ga_s2am_ard_3-2-1_51JZM_2020-06-18_final
2020-08-08 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-08-08_final
2020-09-12 11:33:05	ga_s2am_ard_3-2-1_51KVU_2020-09-12_final
2020-11-28 11:27:02	ga_s2am_ard_3-2-1_51HUC_2020-11-28_final
2020-12-12 11:04:40	ga_s2am_ard_3-2-1_52JFR_2020-12-12_final
2021-01-04 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-01-04_final
2021-02-19 11:34:50	ga_s2am_ard_3-2-1_51JVM_2021-02-19_final
2021-04-08 10:54:54	ga_s2am_ard_3-2-1_52JGQ_2021-04-08_final
2021-05-04 11:15:20	ga_s2am_ard_3-2-1_52JBP_2021-05-04_final
2021-06-08 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-06-08_final
2021-06-26 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-06-26_final
2021-07-20 11:02:58	ga_s2am_ard_3-2-1_52KHC_2021-07-20_final
2021-08-07 12:04:42	ga_s2am_ard_3-2-1_50JLT_2021-08-07_final
2021-08-11 11:43:21	ga_s2am_ard_3-2-1_50KRC_2021-08-11_final
2021-08-18 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-08-18_final
2021-11-10 11:16:22	ga_s2am_ard_3-2-1_52HBK_2021-11-10_final
2021-11-16 11:32:33	ga_s2am_ard_3-2-1_51KVA_2021-11-16_final
2021-11-23 11:25:53	ga_s2am_ard_3-2-1_51JXG_2021-11-23_final
2021-12-23 11:23:51	ga_s2am_ard_3-2-1_52KBV_2021-12-23_final
2022-01-15 11:32:08	ga_s2am_ard_3-2-1_51KYB_2022-01-15_final
2022-01-15 11:34:18	ga_s2am_ard_3-2-1_51KUP_2022-01-15_final
2022-02-01 11:22:33	ga_s2am_ard_3-2-1_52KCE_2022-02-01_final
2022-02-08 11:11:15	ga_s2am_ard_3-2-1_52LFK_2022-02-08_final
2022-03-03 11:24:36	ga_s2am_ard_3-2-1_52JBS_2022-03-03_final
2022-03-06 11:33:20	ga_s2am_ard_3-2-1_51KVT_2022-03-06_final
2022-04-13 10:54:50	ga_s2am_ard_3-2-1_52JFR_2022-04-13_final
2022-04-15 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-04-15_final
2022-05-30 10:46:14	ga_s2am_ard_3-2-1_53HME_2022-05-30_final
2022-08-09 11:55:58	ga_s2am_ard_3-2-1_50JKP_2022-08-09_final
2022-09-05 11:44:17	ga_s2am_ard_3-2-1_50KQV_2022-09-05_final.stac-item
2022-09-05 11:45:15	ga_s2am_ard_3-2-1_51JTL_2022-09-05_final.stac-item
2022-09-08 11:56:04	ga_s2am_ard_3-2-1_50JMN_2022-09-08_final.stac-item
2022-09-16 11:13:24	ga_s2am_ard_3-2-1_52KEB_2022-09-16_final.stac-item
2022-10-30 10:54:34	ga_s2am_ard_3-2-1_52JFS_2022-10-30_final.stac-item
2022-11-09 10:52:35	ga_s2am_ard_3-2-1_52KHE_2022-11-09_final.stac-item
2022-12-13 10:36:25	ga_s2am_ard_3-2-1_53HMD_2022-12-13_final.stac-item
2022-12-22 11:04:55	ga_s2am_ard_3-2-1_52JFQ_2022-12-22_final.stac-item
2023-01-07 11:23:05	ga_s2am_ard_3-2-1_52KBC_2023-01-07_final.stac-item
2023-01-16 11:54:01	ga_s2am_ard_3-2-1_50KPV_2023-01-16_final.stac-item
2023-04-23 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-04-23_final.stac-item
2023-04-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2023-04-29_final.stac-item
2023-05-20 11:31:07	ga_s2am_ard_3-2-1_52LBL_2023-05-20_final.stac-item
2023-05-22 10:36:19	ga_s2am_ard_3-2-1_53HLE_2023-05-22_final.stac-item
2023-06-02 11:43:22	ga_s2am_ard_3-2-1_51KTT_2023-06-02_final.stac-item
2023-09-27 11:32:42	ga_s2am_ard_3-2-1_51KXV_2023-09-27_final.stac-item
2023-09-29 12:15:02	ga_s2am_ard_3-2-1_49JFM_2023-09-29_final.stac-item
2023-10-14 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-10-14_final.stac-item
2023-11-03 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-11-03_final.stac-item
2023-11-09 11:44:12	ga_s2am_ard_3-2-1_51KUP_2023-11-09_final.stac-item
2023-11-27 11:03:07	ga_s2am_ard_3-2-1_52KGB_2023-11-27_final.stac-item
2023-12-10 11:10:13	ga_s2am_ard_3-2-1_52LFP_2023-12-10_final.stac-item
2024-01-12 11:22:50	ga_s2am_ard_3-2-1_51KYU_2024-01-12_final.stac-item
2024-01-16 11:00:52	ga_s2am_ard_3-2-1_52LHL_2024-01-16_final.stac-item
2024-01-22 11:21:39	ga_s2am_ard_3-2-1_52LDH_2024-01-22_final.stac-item
2024-03-05 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2024-03-05_final.stac-item
2024-03-08 11:43:44	ga_s2am_ard_3-2-1_51KUR_2024-03-08_final.stac-item
2024-03-09 11:13:16	ga_s2am_ard_3-2-1_52KEB_2024-03-09_final.stac-item
2024-05-10 11:54:15	ga_s2am_ard_3-2-1_50KQU_2024-05-10_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

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