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
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KFF_2015-12-22_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HMH_2016-02-19_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HQJ_2016-02-19_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCL_2016-07-09_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_50KKA_2016-07-24_final.stac-item
2016-07-26 11:02:15	ga_s2am_ard_3-2-1_52KFB_2016-07-26_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HUD_2016-08-04_final.stac-item
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_53JLN_2016-12-17_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HVE_2017-01-18_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKM_2017-02-09_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KMA_2017-02-09_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVS_2017-02-13_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_53HPA_2017-02-22_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KBC_2017-04-15_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KDB_2017-04-15_final
2017-04-18 11:26:09	ga_s2am_ard_3-2-1_51JWF_2017-04-18_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVS_2017-05-31_final
2017-06-12 10:32:12	ga_s2am_ard_3-2-1_53HME_2017-06-12_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JFS_2017-06-28_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_53JKF_2017-06-28_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-07-06_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPK_2017-10-11_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52KFG_2017-11-01_final
2017-11-16 10:23:25	ga_s2am_ard_3-2-1_53HNB_2017-11-16_final
2017-11-26 10:26:32	ga_s2am_ard_3-2-1_53HNC_2017-11-26_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JWL_2017-12-24_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52LHK_2018-01-07_final
2018-01-10 11:12:06	ga_s2am_ard_3-2-1_52KFE_2018-01-10_final
2018-01-15 10:23:20	ga_s2am_ard_3-2-1_53HPE_2018-01-15_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KPU_2018-02-01_final
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JUF_2018-06-02_final
2018-06-05 11:26:21	ga_s2am_ard_3-2-1_51LXD_2018-06-05_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JQS_2018-06-18_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51JWK_2018-07-05_final
2018-09-28 10:37:23	ga_s2am_ard_3-2-1_52JGL_2018-09-28_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPN_2018-11-05_final
2019-01-21 11:31:17	ga_s2am_ard_3-2-1_51LZE_2019-01-21_final
2019-01-27 11:53:53	ga_s2am_ard_3-2-1_50KPV_2019-01-27_final
2019-03-22 11:37:05	ga_s2am_ard_3-2-1_50HPH_2019-03-22_final
2019-05-07 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-07_final
2019-05-30 10:27:08	ga_s2am_ard_3-2-1_53HPA_2019-05-30_final
2019-06-13 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-06-13_final
2019-07-01 11:06:42	ga_s2am_ard_3-2-1_51HYD_2019-07-01_final
2019-08-28 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2019-08-28_final
2020-01-10 11:11:53	ga_s2am_ard_3-2-1_52KFG_2020-01-10_final
2020-03-23 11:22:20	ga_s2am_ard_3-2-1_51KZA_2020-03-23_final
2020-04-28 11:46:28	ga_s2am_ard_3-2-1_50JML_2020-04-28_final
2020-05-28 11:42:05	ga_s2am_ard_3-2-1_51LVC_2020-05-28_final
2020-07-07 11:43:16	ga_s2am_ard_3-2-1_51KVT_2020-07-07_final
2020-08-09 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-08-09_final
2020-08-10 11:24:38	ga_s2am_ard_3-2-1_51JZM_2020-08-10_final
2020-10-22 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-10-22_final
2020-12-21 11:34:04	ga_s2am_ard_3-2-1_51KXP_2020-12-21_final
2021-01-27 11:22:24	ga_s2am_ard_3-2-1_51KZA_2021-01-27_final
2021-01-27 11:22:38	ga_s2am_ard_3-2-1_51KZV_2021-01-27_final
2021-05-30 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-05-30_final
2021-06-23 11:15:43	ga_s2am_ard_3-2-1_51JXH_2021-06-23_final
2021-10-31 11:14:07	ga_s2am_ard_3-2-1_52KDU_2021-10-31_final
2021-11-05 12:05:59	ga_s2am_ard_3-2-1_50JKN_2021-11-05_final
2021-11-07 11:03:05	ga_s2am_ard_3-2-1_52KFC_2021-11-07_final
2021-11-07 11:05:01	ga_s2am_ard_3-2-1_52JFQ_2021-11-07_final
2022-03-06 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-03-06_final
2022-04-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-04-04_final
2022-05-08 11:41:22	ga_s2am_ard_3-2-1_51LUF_2022-05-08_final
2022-05-19 11:14:44	ga_s2am_ard_3-2-1_52JBS_2022-05-19_final
2022-05-27 10:37:06	ga_s2am_ard_3-2-1_53HPA_2022-05-27_final
2022-06-06 12:13:50	ga_s2am_ard_3-2-1_50KKB_2022-06-06_final
2022-07-18 11:15:34	ga_s2am_ard_3-2-1_52JBP_2022-07-18_final
2022-08-16 11:45:48	ga_s2am_ard_3-2-1_50JPP_2022-08-16_final
2022-09-30 10:54:26	ga_s2am_ard_3-2-1_52JHS_2022-09-30_final.stac-item
2022-11-18 11:25:58	ga_s2am_ard_3-2-1_51JWG_2022-11-18_final.stac-item
2022-11-21 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-11-21_final.stac-item
2022-11-21 11:34:18	ga_s2am_ard_3-2-1_51KUP_2022-11-21_final.stac-item
2022-12-01 11:31:06	ga_s2am_ard_3-2-1_51LZF_2022-12-01_final.stac-item
2023-01-08 10:53:27	ga_s2am_ard_3-2-1_52KHA_2023-01-08_final.stac-item
2023-01-08 10:54:31	ga_s2am_ard_3-2-1_52JFS_2023-01-08_final.stac-item
2023-01-11 11:01:26	ga_s2am_ard_3-2-1_52LHJ_2023-01-11_final.stac-item
2023-01-14 11:11:56	ga_s2am_ard_3-2-1_52KFG_2023-01-14_final.stac-item
2023-01-21 11:03:37	ga_s2am_ard_3-2-1_52KGV_2023-01-21_final.stac-item
2023-01-27 11:26:41	ga_s2am_ard_3-2-1_51HVD_2023-01-27_final.stac-item
2023-02-04 10:45:42	ga_s2am_ard_3-2-1_53JKG_2023-02-04_final.stac-item
2023-02-28 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2023-02-28_final.stac-item
2023-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-03-23_final.stac-item
2023-03-27 11:56:12	ga_s2am_ard_3-2-1_50JKM_2023-03-27_final.stac-item
2023-03-31 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-03-31_final.stac-item
2023-03-31 11:36:30	ga_s2am_ard_3-2-1_51HTE_2023-03-31_final.stac-item
2023-04-04 11:15:58	ga_s2am_ard_3-2-1_51JXG_2023-04-04_final.stac-item
2023-04-11 11:02:53	ga_s2am_ard_3-2-1_52KED_2023-04-11_final.stac-item
2023-04-15 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-04-15_final.stac-item
2023-04-26 11:57:14	ga_s2am_ard_3-2-1_49HGC_2023-04-26_nrt.stac-item
2023-05-06 11:53:39	ga_s2am_ard_3-2-1_50KNB_2023-05-06_final.stac-item
2023-06-18 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-18_final.stac-item
2023-07-03 11:10:42	ga_s2am_ard_3-2-1_52LHM_2023-07-03_final.stac-item
2023-08-21 11:42:05	ga_s2am_ard_3-2-1_51LVC_2023-08-21_final.stac-item
2023-11-03 11:23:11	ga_s2am_ard_3-2-1_52KCB_2023-11-03_final.stac-item
2023-11-23 11:21:42	ga_s2am_ard_3-2-1_52LDH_2023-11-23_final.stac-item
2024-01-22 11:21:25	ga_s2am_ard_3-2-1_52LDJ_2024-01-22_final.stac-item
2024-01-26 11:03:07	ga_s2am_ard_3-2-1_52KGB_2024-01-26_final.stac-item
2024-03-25 11:32:56	ga_s2am_ard_3-2-1_51KXU_2024-03-25_final.stac-item
2024-04-24 11:33:26	ga_s2am_ard_3-2-1_51KXS_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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