Search ga_s2am_ard_3 on 24th 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 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

45 results

Time (local)	Label
2018-01-24 10:52:11	ga_s2am_ard_3-2-1_52KHE_2018-01-24_final
2018-01-24 10:52:11	ga_s2am_ard_3-2-1_53KKV_2018-01-24_final
2018-01-24 10:52:11	ga_s2am_ard_3-2-1_53KMV_2018-01-24_final
2018-01-24 10:52:11	ga_s2am_ard_3-2-1_53KNV_2018-01-24_final
2018-01-24 10:52:11	ga_s2am_ard_3-2-1_53KLV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMS_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52JGT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMP_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHE_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLQ_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMQ_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKR_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KGA_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLS_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KNT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52JHT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KNV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHA_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHC_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKS_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KGB_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHB_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLR_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KNU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KGU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKQ_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KGV_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KKP_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53JMN_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHD_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLP_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KMR_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLU_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53KLT_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53JLN_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_53JKN_2018-01-24_final
2018-01-24 10:52:15	ga_s2am_ard_3-2-1_52KHV_2018-01-24_final

Return to ga_s2am_ard_3 on 24th January 2018 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

2018

January

24th