Search ga_s2am_ard_3 across June 2017

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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_51HYD_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCQ_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDN_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52HBK_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JBL_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCL_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDR_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDP_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JEL_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JBM_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCM_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCN_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDT_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JEN_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDQ_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDS_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JER_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JCP_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JEM_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JEP_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDL_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JES_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JEQ_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFM_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JDM_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JET_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFN_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFR_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFP_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFT_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JGR_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFQ_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFS_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JGS_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JGT_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52KDV_2017-06-01_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUC_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HWD_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HVC_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUE_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVG_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JUG_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUD_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JUF_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWH_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HVD_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HTC_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXK_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXN_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVL_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HXE_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HVE_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVF_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWM_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVH_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXH_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HWE_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWF_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXF_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HXD_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWK_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVK_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWG_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXL_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWN_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXM_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYG_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYH_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXG_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JWL_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KWP_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYM_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYK_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JZM_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KXQ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYN_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KYR_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KWQ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JZN_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KXP_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KZP_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52JBS_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KYP_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYL_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52JBT_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52JBR_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KXR_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51KYQ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52KBV_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52KBU_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HWC_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HWB_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HTB_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HXC_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HUB_2017-06-07_final

Return to ga_s2am_ard_3 across June 2017 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2017

June

All days