Search ga_s2am_ard_3 on 13th October 2016

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
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55LHC_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KFS_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KGB_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_56KKG_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55LGC_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KHB_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KGU_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KGT_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KET_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KFA_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_56KKF_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KFB_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KFU_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KEU_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KFT_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KES_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KEV_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55LFC_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KHS_2016-10-13_final.stac-item
2016-10-13 09:51:01	ga_s2am_ard_3-2-1_55KGS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEG_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDL_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDG_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDA_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEL_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDJ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEJ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDF_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEF_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HCS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEM_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDM_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYH_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KFR_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JFM_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KGS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KFS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEN_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDN_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KGP_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KGR_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HXD_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDU_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HCU_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCM_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCN_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KDQ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KEQ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYB_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBC_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JFN_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KDP_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KEP_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYD_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYJ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBD_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBU_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JGN_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDD_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDC_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDB_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCJ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HCA_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HXF_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HED_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JFJ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCG_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYF_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55GCR_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55GBR_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCF_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HDE_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54GYA_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HEE_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBA_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JCK_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JGM_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_54HYG_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HBB_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KER_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KDR_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KFP_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KGQ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KES_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KFQ_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KHS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55KDS_2016-10-13_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55HCB_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_55GCQ_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_54GYV_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_55GBQ_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_55GCR_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_55GBR_2016-10-13_final.stac-item
2016-10-13 09:57:56	ga_s2am_ard_3-2-1_54GYA_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JVF_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JTG_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JQM_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JPL_2016-10-13_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JUF_2016-10-13_final.stac-item

Return to ga_s2am_ard_3 on 13th October 2016 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

2016

October

13th