Search ga_s2bm_ard_3 on 2nd January 2018

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
2018-01-02 09:22:35	ga_s2bm_ard_3-2-1_56JNS_2018-01-01_final
2018-01-02 09:22:35	ga_s2bm_ard_3-2-1_56JNT_2018-01-01_final
2018-01-02 09:22:35	ga_s2bm_ard_3-2-1_56JNR_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GEP_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GFQ_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GFP_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GEN_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GFR_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GFN_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55HGV_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HKF_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HKG_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HMK_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HLJ_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HLK_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JLL_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JMM_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JMN_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JML_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JMP_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JMQ_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HMJ_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNN_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNL_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNM_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GEM_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55HGU_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNP_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HLG_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56HLH_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNR_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JNQ_2018-01-01_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55HFS_2018-01-01_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_51HYD_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JBM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52HBK_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JCL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JCN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JDN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JDM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JCM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JEN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JEL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JBL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JEM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JFM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JFN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JDL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52HCK_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JDT_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JET_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JFT_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52JGT_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KDU_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFA_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KDV_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFC_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEU_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KED_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFD_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEV_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEC_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFB_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEA_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEB_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFV_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGE_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGD_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFG_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGA_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFE_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGG_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGB_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGF_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHA_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHB_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGU_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFU_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGV_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KFF_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGC_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHC_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHD_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHV_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHG_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHF_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LFH_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KHE_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LFJ_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGM_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGK_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGH_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHH_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGJ_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHK_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LGN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHL_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHN_2018-01-02_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52LHJ_2018-01-02_final

Return to ga_s2bm_ard_3 on 2nd January 2018 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B 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

2018

January

2nd