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
2020-10-22 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-10-22_final
2020-10-22 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-10-22_final
2020-10-22 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-10-22_final
2020-10-22 11:36:29	ga_s2am_ard_3-2-1_51HVE_2020-10-22_final
2020-10-22 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-10-22_final
2020-10-22 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-10-22_final
2020-10-22 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-10-22_final
2020-10-22 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-10-22_final
2020-10-22 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-10-22_final
2020-10-22 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-10-22_final
2020-10-22 11:36:52	ga_s2am_ard_3-2-1_51HTD_2020-10-22_final
2020-10-22 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-10-22_final
2020-10-22 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-10-22_final
2020-10-22 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-10-22_final
2020-10-22 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-10-22_final
2020-10-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-22_final
2020-10-22 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-10-22_final
2020-10-22 11:37:21	ga_s2am_ard_3-2-1_51HTB_2020-10-22_final.stac-item
2020-10-22 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-10-22_final.stac-item
2020-10-22 11:37:26	ga_s2am_ard_3-2-1_50HPG_2020-10-22_final.stac-item
2020-10-22 11:37:32	ga_s2am_ard_3-2-1_50HNG_2020-10-22_final.stac-item
2020-10-23 11:02:04	ga_s2am_ard_3-2-1_53KLB_2020-10-23_final
2020-10-23 11:02:06	ga_s2am_ard_3-2-1_53KKB_2020-10-23_final
2020-10-23 11:02:07	ga_s2am_ard_3-2-1_52KHG_2020-10-23_final
2020-10-23 11:02:08	ga_s2am_ard_3-2-1_52KGG_2020-10-23_final
2020-10-23 11:02:08	ga_s2am_ard_3-2-1_53KLA_2020-10-23_final
2020-10-23 11:02:10	ga_s2am_ard_3-2-1_52KFG_2020-10-23_final
2020-10-23 11:02:15	ga_s2am_ard_3-2-1_53KKA_2020-10-23_final
2020-10-23 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-10-23_final
2020-10-23 11:02:20	ga_s2am_ard_3-2-1_52KGF_2020-10-23_final
2020-10-23 11:02:24	ga_s2am_ard_3-2-1_52KFF_2020-10-23_final
2020-10-23 11:02:30	ga_s2am_ard_3-2-1_53KKV_2020-10-23_final
2020-10-23 11:02:31	ga_s2am_ard_3-2-1_52KHE_2020-10-23_final
2020-10-23 11:02:35	ga_s2am_ard_3-2-1_52KGE_2020-10-23_final
2020-10-23 11:02:45	ga_s2am_ard_3-2-1_53KKU_2020-10-23_final
2020-10-23 11:02:45	ga_s2am_ard_3-2-1_52KHD_2020-10-23_final
2020-10-23 11:02:49	ga_s2am_ard_3-2-1_52KGD_2020-10-23_final
2020-10-23 11:02:53	ga_s2am_ard_3-2-1_52KFD_2020-10-23_final
2020-10-23 11:02:57	ga_s2am_ard_3-2-1_52KED_2020-10-23_final
2020-10-23 11:02:59	ga_s2am_ard_3-2-1_53KKT_2020-10-23_final
2020-10-23 11:03:00	ga_s2am_ard_3-2-1_52KHC_2020-10-23_final
2020-10-23 11:03:04	ga_s2am_ard_3-2-1_52KGC_2020-10-23_final
2020-10-23 11:03:07	ga_s2am_ard_3-2-1_52KFC_2020-10-23_final
2020-10-23 11:03:10	ga_s2am_ard_3-2-1_52KEC_2020-10-23_final
2020-10-23 11:03:13	ga_s2am_ard_3-2-1_53KKS_2020-10-23_final
2020-10-23 11:03:15	ga_s2am_ard_3-2-1_52KHB_2020-10-23_final
2020-10-23 11:03:18	ga_s2am_ard_3-2-1_52KGB_2020-10-23_final
2020-10-23 11:03:22	ga_s2am_ard_3-2-1_52KFB_2020-10-23_final
2020-10-23 11:03:24	ga_s2am_ard_3-2-1_53KKR_2020-10-23_final
2020-10-23 11:03:25	ga_s2am_ard_3-2-1_52KEB_2020-10-23_final
2020-10-23 11:03:28	ga_s2am_ard_3-2-1_52KHA_2020-10-23_final
2020-10-23 11:03:33	ga_s2am_ard_3-2-1_52KGA_2020-10-23_final
2020-10-23 11:03:36	ga_s2am_ard_3-2-1_52KFA_2020-10-23_final
2020-10-23 11:03:38	ga_s2am_ard_3-2-1_52KHV_2020-10-23_final
2020-10-23 11:03:40	ga_s2am_ard_3-2-1_52KEA_2020-10-23_final
2020-10-23 11:03:47	ga_s2am_ard_3-2-1_52KGV_2020-10-23_final
2020-10-23 11:03:51	ga_s2am_ard_3-2-1_52KFV_2020-10-23_final
2020-10-23 11:03:54	ga_s2am_ard_3-2-1_52KEV_2020-10-23_final
2020-10-23 11:03:59	ga_s2am_ard_3-2-1_52KDV_2020-10-23_final
2020-10-23 11:04:01	ga_s2am_ard_3-2-1_52KGU_2020-10-23_final
2020-10-23 11:04:05	ga_s2am_ard_3-2-1_52KFU_2020-10-23_final
2020-10-23 11:04:09	ga_s2am_ard_3-2-1_52KEU_2020-10-23_final
2020-10-23 11:04:12	ga_s2am_ard_3-2-1_52KDU_2020-10-23_final
2020-10-23 11:04:16	ga_s2am_ard_3-2-1_52JGT_2020-10-23_final
2020-10-23 11:04:20	ga_s2am_ard_3-2-1_52JFT_2020-10-23_final
2020-10-23 11:04:23	ga_s2am_ard_3-2-1_52JET_2020-10-23_final
2020-10-23 11:04:26	ga_s2am_ard_3-2-1_52JDT_2020-10-23_final
2020-10-23 11:04:30	ga_s2am_ard_3-2-1_52JGS_2020-10-23_final
2020-10-23 11:04:34	ga_s2am_ard_3-2-1_52JFS_2020-10-23_final
2020-10-23 11:04:38	ga_s2am_ard_3-2-1_52JES_2020-10-23_final
2020-10-23 11:04:41	ga_s2am_ard_3-2-1_52JGR_2020-10-23_final
2020-10-23 11:04:41	ga_s2am_ard_3-2-1_52JDS_2020-10-23_final
2020-10-23 11:04:48	ga_s2am_ard_3-2-1_52JFR_2020-10-23_final
2020-10-23 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-10-23_final
2020-10-23 11:04:56	ga_s2am_ard_3-2-1_52JDR_2020-10-23_final
2020-10-23 11:05:01	ga_s2am_ard_3-2-1_52JCR_2020-10-23_final
2020-10-23 11:05:03	ga_s2am_ard_3-2-1_52JFQ_2020-10-23_final
2020-10-23 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2020-10-23_final
2020-10-23 11:05:10	ga_s2am_ard_3-2-1_52JDQ_2020-10-23_final
2020-10-23 11:05:13	ga_s2am_ard_3-2-1_52JCQ_2020-10-23_final
2020-10-23 11:05:18	ga_s2am_ard_3-2-1_52JFP_2020-10-23_final
2020-10-23 11:05:21	ga_s2am_ard_3-2-1_52JEP_2020-10-23_final
2020-10-23 11:05:25	ga_s2am_ard_3-2-1_52JDP_2020-10-23_final
2020-10-23 11:05:28	ga_s2am_ard_3-2-1_52JCP_2020-10-23_final
2020-10-23 11:05:32	ga_s2am_ard_3-2-1_52JFN_2020-10-23_final
2020-10-23 11:05:36	ga_s2am_ard_3-2-1_52JEN_2020-10-23_final
2020-10-23 11:05:39	ga_s2am_ard_3-2-1_52JDN_2020-10-23_final
2020-10-23 11:05:43	ga_s2am_ard_3-2-1_52JCN_2020-10-23_final
2020-10-23 11:05:43	ga_s2am_ard_3-2-1_52JFM_2020-10-23_final
2020-10-23 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-10-23_final
2020-10-23 11:05:54	ga_s2am_ard_3-2-1_52JDM_2020-10-23_final
2020-10-23 11:05:57	ga_s2am_ard_3-2-1_52JCM_2020-10-23_final
2020-10-23 11:06:03	ga_s2am_ard_3-2-1_52JBM_2020-10-23_final
2020-10-23 11:06:04	ga_s2am_ard_3-2-1_52JEL_2020-10-23_final
2020-10-23 11:06:08	ga_s2am_ard_3-2-1_52JDL_2020-10-23_final
2020-10-23 11:06:12	ga_s2am_ard_3-2-1_52JCL_2020-10-23_final
2020-10-23 11:06:15	ga_s2am_ard_3-2-1_52JBL_2020-10-23_final
2020-10-23 11:06:23	ga_s2am_ard_3-2-1_52HDK_2020-10-23_final.stac-item
2020-10-23 11:06:26	ga_s2am_ard_3-2-1_52HCK_2020-10-23_final.stac-item
2020-10-23 11:06:29	ga_s2am_ard_3-2-1_52HBK_2020-10-23_final

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