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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50JRS_2015-11-21_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JEL_2016-01-15_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KDB_2016-01-31_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KHC_2016-06-03_final.stac-item
2016-07-26 11:02:15	ga_s2am_ard_3-2-1_52KGA_2016-07-26_final.stac-item
2016-08-09 10:43:11	ga_s2am_ard_3-2-1_53JPN_2016-08-09_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNH_2016-09-06_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMK_2016-09-19_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_52KBU_2016-11-29_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KGB_2016-12-23_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KEA_2017-01-02_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JVK_2017-01-18_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LZC_2017-01-18_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HTD_2017-01-31_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JPS_2017-04-27_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPJ_2017-09-21_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53HLD_2017-12-29_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUT_2017-12-30_final
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51KVB_2018-02-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KEE_2018-02-19_final
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51JXJ_2018-04-03_final
2018-07-04 10:17:07	ga_s2am_ard_3-2-1_53HQC_2018-07-04_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KYT_2018-07-15_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JCM_2018-07-26_final
2019-01-14 11:46:58	ga_s2am_ard_3-2-1_50HPH_2019-01-14_final
2019-01-18 11:24:28	ga_s2am_ard_3-2-1_52JBS_2019-01-18_final
2019-02-04 11:12:39	ga_s2am_ard_3-2-1_52KFD_2019-02-04_final
2019-02-07 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2019-02-07_final
2019-02-22 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-02-22_final
2019-03-02 11:32:42	ga_s2am_ard_3-2-1_51KVV_2019-03-02_final
2019-03-06 11:15:37	ga_s2am_ard_3-2-1_51JXH_2019-03-06_final
2019-04-28 11:21:58	ga_s2am_ard_3-2-1_51LZC_2019-04-28_final
2019-05-09 10:55:35	ga_s2am_ard_3-2-1_52JFN_2019-05-09_final
2019-06-03 11:42:24	ga_s2am_ard_3-2-1_51KWA_2019-06-03_final
2019-06-23 11:46:11	ga_s2am_ard_3-2-1_50JPM_2019-06-23_final
2019-07-12 10:36:22	ga_s2am_ard_3-2-1_53HPD_2019-07-12_final
2019-12-30 11:41:53	ga_s2am_ard_3-2-1_51LVC_2019-12-30_final
2020-02-09 11:15:40	ga_s2am_ard_3-2-1_52JCM_2020-02-09_final
2020-02-12 11:22:44	ga_s2am_ard_3-2-1_52KBD_2020-02-12_final
2020-02-14 10:26:58	ga_s2am_ard_3-2-1_53HPA_2020-02-14_final
2020-02-29 11:10:38	ga_s2am_ard_3-2-1_52LGM_2020-02-29_final
2020-04-16 11:06:03	ga_s2am_ard_3-2-1_52JDL_2020-04-16_final
2020-04-25 11:33:05	ga_s2am_ard_3-2-1_51KYT_2020-04-25_final
2020-04-25 11:33:18	ga_s2am_ard_3-2-1_51KVT_2020-04-25_final
2020-04-25 11:36:07	ga_s2am_ard_3-2-1_50JQM_2020-04-25_final
2020-07-17 11:46:02	ga_s2am_ard_3-2-1_50JQM_2020-07-17_final
2020-10-16 11:10:49	ga_s2am_ard_3-2-1_52LGM_2020-10-16_final
2021-01-21 11:06:11	ga_s2am_ard_3-2-1_52JBL_2021-01-21_final
2021-01-25 10:45:12	ga_s2am_ard_3-2-1_53JLJ_2021-01-25_final
2021-03-04 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-03-04_final
2021-03-13 10:36:32	ga_s2am_ard_3-2-1_53HPC_2021-03-13_final
2021-03-22 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-03-22_final
2021-04-30 11:35:45	ga_s2am_ard_3-2-1_51JTH_2021-04-30_final
2021-06-08 10:27:02	ga_s2am_ard_3-2-1_53HQA_2021-06-08_final
2021-06-09 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-06-09_final
2021-06-28 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-06-28_final
2021-08-31 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-08-31_final
2021-10-16 10:26:56	ga_s2am_ard_3-2-1_53HPB_2021-10-16_final
2021-11-07 11:02:29	ga_s2am_ard_3-2-1_52KHE_2021-11-07_final
2021-11-19 11:46:15	ga_s2am_ard_3-2-1_50JQL_2021-11-19_final
2021-11-22 11:53:39	ga_s2am_ard_3-2-1_50KNB_2021-11-22_final
2021-12-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-12-02_final
2021-12-04 10:55:12	ga_s2am_ard_3-2-1_52JGP_2021-12-04_final
2021-12-13 11:23:05	ga_s2am_ard_3-2-1_52KBC_2021-12-13_final
2021-12-14 10:55:27	ga_s2am_ard_3-2-1_52JGN_2021-12-14_final
2022-03-18 10:36:50	ga_s2am_ard_3-2-1_53HPB_2022-03-18_final
2022-03-25 10:26:39	ga_s2am_ard_3-2-1_53HPC_2022-03-25_final
2022-03-28 10:35:18	ga_s2am_ard_3-2-1_53JQH_2022-03-28_final
2022-04-04 12:05:13	ga_s2am_ard_3-2-1_50JKR_2022-04-04_final
2022-04-14 10:26:24	ga_s2am_ard_3-2-1_53HPD_2022-04-14_final
2022-05-31 10:17:12	ga_s2am_ard_3-2-1_53HQA_2022-05-31_final
2022-06-16 12:14:32	ga_s2am_ard_3-2-1_49KHP_2022-06-16_final
2022-06-17 11:44:27	ga_s2am_ard_3-2-1_51KTP_2022-06-17_final
2022-06-18 11:14:46	ga_s2am_ard_3-2-1_52JCS_2022-06-18_final
2022-07-21 11:26:55	ga_s2am_ard_3-2-1_51HWD_2022-07-21_final
2022-09-05 11:45:58	ga_s2am_ard_3-2-1_50JQN_2022-09-05_final.stac-item
2022-09-28 10:16:59	ga_s2am_ard_3-2-1_53HQB_2022-09-28_final.stac-item
2022-10-02 11:35:19	ga_s2am_ard_3-2-1_51JVK_2022-10-02_final.stac-item
2022-10-08 13:31:45	ga_s2am_ard_3-2-1_47LKG_2022-10-08_interim.stac-item
2022-11-20 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-11-20_final.stac-item
2022-12-29 10:53:45	ga_s2am_ard_3-2-1_52KGV_2022-12-29_final.stac-item
2023-01-07 11:21:35	ga_s2am_ard_3-2-1_51LZD_2023-01-07_final.stac-item
2023-02-28 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-02-28_final.stac-item
2023-03-30 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-03-30_final.stac-item
2023-06-05 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2023-06-05_final.stac-item
2023-06-20 11:04:25	ga_s2am_ard_3-2-1_52JDT_2023-06-20_final.stac-item
2023-06-25 11:57:15	ga_s2am_ard_3-2-1_50HKH_2023-06-25_nrt.stac-item
2023-06-28 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-06-28_final.stac-item
2023-09-23 11:56:16	ga_s2am_ard_3-2-1_50JKM_2023-09-23_final.stac-item
2023-10-16 10:27:04	ga_s2am_ard_3-2-1_53HPA_2023-10-16_final.stac-item
2024-01-03 10:54:38	ga_s2am_ard_3-2-1_52JFR_2024-01-03_final.stac-item
2024-01-11 11:55:44	ga_s2am_ard_3-2-1_50JNN_2024-01-11_final.stac-item
2024-02-10 11:57:11	ga_s2am_ard_3-2-1_49HGC_2024-02-10_nrt.stac-item
2024-02-23 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-02-23_final.stac-item
2024-03-11 11:55:35	ga_s2am_ard_3-2-1_50JNP_2024-03-11_final.stac-item
2024-03-12 11:24:26	ga_s2am_ard_3-2-1_51JXN_2024-03-12_final.stac-item
2024-03-12 11:25:46	ga_s2am_ard_3-2-1_51JVH_2024-03-12_final.stac-item
2024-03-20 10:45:01	ga_s2am_ard_3-2-1_53JKK_2024-03-20_final.stac-item
2024-03-25 11:33:28	ga_s2am_ard_3-2-1_51KWS_2024-03-25_final.stac-item
2024-04-24 11:36:45	ga_s2am_ard_3-2-1_51HUD_2024-04-24_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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