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
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_53KKS_2017-01-02_final.stac-item
2017-03-27 10:43:01	ga_s2am_ard_3-2-1_53JKH_2017-03-27_final.stac-item
2017-04-05 09:32:47	ga_s2am_ard_3-2-1_55GDR_2017-04-05_final.stac-item
2017-04-08 09:42:11	ga_s2am_ard_3-2-1_55KGT_2017-04-08_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGN_2017-04-10_final.stac-item
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_55JFL_2017-04-11_final.stac-item
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_54HYC_2017-04-11_final.stac-item
2017-04-14 10:00:32	ga_s2am_ard_3-2-1_55KCV_2017-04-14_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51LVG_2017-04-14_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_56JKM_2017-04-18_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_56JKR_2017-04-18_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGN_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50KKA_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50KMB_2017-04-20_final.stac-item
2017-04-21 09:51:06	ga_s2am_ard_3-2-1_55KET_2017-04-21_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KYA_2017-04-21_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2017-04-23_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55JCG_2017-04-24_final.stac-item
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55KCA_2017-04-24_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HEU_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HFE_2017-04-25_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56KLA_2017-04-25_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final.stac-item
2019-03-11 12:04:02	ga_s2am_ard_3-2-1_50KKV_2019-03-11_final.stac-item
2020-02-14 12:04:18	ga_s2am_ard_3-2-1_49KHP_2020-02-14_final.stac-item
2024-01-06 11:00:10	ga_s2am_ard_3-2-1_53LKJ_2024-01-06_final.stac-item
2024-01-06 11:00:18	ga_s2am_ard_3-2-1_53LMH_2024-01-06_final.stac-item
2024-01-06 11:00:22	ga_s2am_ard_3-2-1_53LLH_2024-01-06_final.stac-item
2024-01-06 11:00:32	ga_s2am_ard_3-2-1_53LMG_2024-01-06_final.stac-item
2024-01-06 11:00:41	ga_s2am_ard_3-2-1_52LHM_2024-01-06_final.stac-item
2024-01-06 11:00:45	ga_s2am_ard_3-2-1_52LGM_2024-01-06_final.stac-item
2024-01-06 11:00:55	ga_s2am_ard_3-2-1_52LHL_2024-01-06_final.stac-item
2024-01-06 11:00:58	ga_s2am_ard_3-2-1_52LGL_2024-01-06_final.stac-item
2024-01-06 11:01:05	ga_s2am_ard_3-2-1_53LLE_2024-01-06_final.stac-item
2024-01-06 11:01:10	ga_s2am_ard_3-2-1_52LHK_2024-01-06_final.stac-item
2024-01-06 11:01:20	ga_s2am_ard_3-2-1_53LLD_2024-01-06_final.stac-item
2024-01-06 11:01:24	ga_s2am_ard_3-2-1_52LHJ_2024-01-06_final.stac-item
2024-01-06 11:01:34	ga_s2am_ard_3-2-1_53LLC_2024-01-06_final.stac-item
2024-01-06 11:01:42	ga_s2am_ard_3-2-1_52LGH_2024-01-06_final.stac-item
2024-01-06 11:01:48	ga_s2am_ard_3-2-1_53KLB_2024-01-06_final.stac-item
2024-01-06 11:01:52	ga_s2am_ard_3-2-1_53KKB_2024-01-06_final.stac-item
2024-01-06 11:01:59	ga_s2am_ard_3-2-1_53KLA_2024-01-06_final.stac-item
2024-01-06 11:02:00	ga_s2am_ard_3-2-1_52KFG_2024-01-06_final.stac-item
2024-01-06 11:02:06	ga_s2am_ard_3-2-1_53KKA_2024-01-06_final.stac-item
2024-01-06 11:02:11	ga_s2am_ard_3-2-1_52KGF_2024-01-06_final.stac-item
2024-01-06 11:02:22	ga_s2am_ard_3-2-1_52KHE_2024-01-06_final.stac-item
2024-01-06 11:02:26	ga_s2am_ard_3-2-1_52KGE_2024-01-06_final.stac-item
2024-01-06 11:02:40	ga_s2am_ard_3-2-1_52KGD_2024-01-06_final.stac-item
2024-01-06 11:02:44	ga_s2am_ard_3-2-1_52KFD_2024-01-06_final.stac-item
2024-01-06 11:02:48	ga_s2am_ard_3-2-1_52KED_2024-01-06_final.stac-item
2024-01-06 11:02:50	ga_s2am_ard_3-2-1_53KKT_2024-01-06_final.stac-item
2024-01-06 11:02:58	ga_s2am_ard_3-2-1_52KFC_2024-01-06_final.stac-item
2024-01-06 11:03:01	ga_s2am_ard_3-2-1_53KKS_2024-01-06_final.stac-item
2024-01-06 11:03:05	ga_s2am_ard_3-2-1_52KFC_2024-01-06_final.stac-item
2024-01-06 11:03:07	ga_s2am_ard_3-2-1_53KKS_2024-01-06_final.stac-item
2024-01-06 11:03:09	ga_s2am_ard_3-2-1_52KHB_2024-01-06_final.stac-item
2024-01-06 11:03:19	ga_s2am_ard_3-2-1_52KHA_2024-01-06_final.stac-item
2024-01-06 11:03:23	ga_s2am_ard_3-2-1_52KGA_2024-01-06_final.stac-item
2024-01-06 11:03:29	ga_s2am_ard_3-2-1_52KHV_2024-01-06_final.stac-item
2024-01-06 11:03:31	ga_s2am_ard_3-2-1_52KEA_2024-01-06_final.stac-item
2024-01-06 11:03:38	ga_s2am_ard_3-2-1_52KGV_2024-01-06_final.stac-item
2024-01-06 11:03:42	ga_s2am_ard_3-2-1_52KFV_2024-01-06_final.stac-item
2024-01-06 11:03:50	ga_s2am_ard_3-2-1_52KDV_2024-01-06_final.stac-item
2024-01-06 11:03:56	ga_s2am_ard_3-2-1_52KFU_2024-01-06_final.stac-item
2024-01-06 11:04:00	ga_s2am_ard_3-2-1_52KEU_2024-01-06_final.stac-item
2024-01-06 11:04:03	ga_s2am_ard_3-2-1_52KDU_2024-01-06_final.stac-item
2024-01-06 11:04:07	ga_s2am_ard_3-2-1_52JGT_2024-01-06_final.stac-item
2024-01-06 11:04:11	ga_s2am_ard_3-2-1_52JFT_2024-01-06_final.stac-item
2024-01-06 11:04:14	ga_s2am_ard_3-2-1_52JET_2024-01-06_final.stac-item
2024-01-06 11:04:17	ga_s2am_ard_3-2-1_52JDT_2024-01-06_final.stac-item
2024-01-06 11:04:25	ga_s2am_ard_3-2-1_52JFS_2024-01-06_final.stac-item
2024-01-06 11:04:29	ga_s2am_ard_3-2-1_52JES_2024-01-06_final.stac-item
2024-01-06 11:05:01	ga_s2am_ard_3-2-1_52JDQ_2024-01-06_final.stac-item
2024-01-06 11:05:04	ga_s2am_ard_3-2-1_52JCQ_2024-01-06_final.stac-item
2024-01-06 11:05:09	ga_s2am_ard_3-2-1_52JFP_2024-01-06_final.stac-item
2024-01-06 11:05:16	ga_s2am_ard_3-2-1_52JDP_2024-01-06_final.stac-item
2024-01-06 11:05:19	ga_s2am_ard_3-2-1_52JCP_2024-01-06_final.stac-item
2024-01-06 11:05:23	ga_s2am_ard_3-2-1_52JFN_2024-01-06_final.stac-item
2024-01-06 11:05:27	ga_s2am_ard_3-2-1_52JEN_2024-01-06_final.stac-item
2024-01-06 11:05:30	ga_s2am_ard_3-2-1_52JDN_2024-01-06_final.stac-item
2024-01-06 11:05:41	ga_s2am_ard_3-2-1_52JEM_2024-01-06_final.stac-item
2024-01-06 11:05:45	ga_s2am_ard_3-2-1_52JDM_2024-01-06_final.stac-item
2024-01-06 11:05:54	ga_s2am_ard_3-2-1_52JBM_2024-01-06_final.stac-item
2024-01-06 11:05:55	ga_s2am_ard_3-2-1_52JEL_2024-01-06_final.stac-item
2024-01-06 11:05:59	ga_s2am_ard_3-2-1_52JDL_2024-01-06_final.stac-item
2024-01-06 11:06:03	ga_s2am_ard_3-2-1_52JCL_2024-01-06_final.stac-item
2024-01-06 11:06:06	ga_s2am_ard_3-2-1_52JBL_2024-01-06_final.stac-item
2024-01-06 11:06:12	ga_s2am_ard_3-2-1_52HDK_2024-01-06_final.stac-item
2024-01-06 11:06:15	ga_s2am_ard_3-2-1_52HBK_2024-01-06_final.stac-item
2024-01-06 11:06:19	ga_s2am_ard_3-2-1_52HDK_2024-01-06_final.stac-item
2024-01-06 11:06:22	ga_s2am_ard_3-2-1_52HBK_2024-01-06_final.stac-item
2024-01-16 09:26:45	ga_s2am_ard_3-2-1_56HME_2024-01-15_nrt.stac-item
2024-01-17 10:29:53	ga_s2am_ard_3-2-1_54LVP_2024-01-17_nrt.stac-item
2024-01-17 10:29:55	ga_s2am_ard_3-2-1_54LUP_2024-01-17_nrt.stac-item
2024-01-17 10:30:25	ga_s2am_ard_3-2-1_54LUM_2024-01-17_nrt.stac-item
2024-01-17 10:30:39	ga_s2am_ard_3-2-1_54LUL_2024-01-17_nrt.stac-item
2024-01-17 10:30:54	ga_s2am_ard_3-2-1_54LUK_2024-01-17_nrt.stac-item
2024-01-17 10:31:01	ga_s2am_ard_3-2-1_53LRE_2024-01-17_nrt.stac-item
2024-01-17 10:31:13	ga_s2am_ard_3-2-1_53LRD_2024-01-17_nrt.stac-item
2024-01-17 10:36:49	ga_s2am_ard_3-2-1_53HLB_2024-01-17_nrt.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

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