Search ga_s2am_ard_3 on 12th June 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
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55KHP_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KMB_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KLV_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KKA_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KLB_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55KGQ_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KLD_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KLA_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KKV_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56JKT_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55JHM_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56JKS_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KKU_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55JGN_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55JFN_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56JLS_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55KFP_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KLU_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_56KKB_2016-06-12_final.stac-item
2016-06-12 09:42:16	ga_s2am_ard_3-2-1_55KGP_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HFB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HEB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HDB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HCB_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HCA_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HDA_2016-06-12_final.stac-item
2016-06-12 09:46:29	ga_s2am_ard_3-2-1_55HEA_2016-06-12_final.stac-item
2016-06-12 09:48:42	ga_s2am_ard_3-2-1_55GCP_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KZV_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KBE_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KZA_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KBF_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KYA_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LEK_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LBK_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LCH_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51LZE_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KCE_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KDF_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LCJ_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KCD_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KBG_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LEL_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KZB_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KYB_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52LDH_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_51KYV_2016-06-12_final.stac-item
2016-06-12 11:17:03	ga_s2am_ard_3-2-1_52KCF_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWF_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVF_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KWP_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVJ_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXM_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWN_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KYU_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JZM_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KZS_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KZP_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KCC_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KXT_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KWQ_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KXR_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KXQ_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KCB_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HWB_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HWC_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVD_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HTC_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVC_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52JBR_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXL_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JYG_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWK_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVK_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWH_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVH_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWG_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVG_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXG_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JUG_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUE_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HWD_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JYH_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXH_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWM_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KCD_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KXU_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KYQ_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KBV_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HTB_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JYK_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUC_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52JBT_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JYN_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUB_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVB_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KBA_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KCA_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXK_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KYR_2016-06-12_final.stac-item

Return to ga_s2am_ard_3 on 12th June 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

June

12th