Search ga_s2bm_ard_3 on 10th August 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 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
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXC_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVL_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWL_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KWB_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXA_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZE_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBV_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KWV_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55LBD_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55LCD_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54LYJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54LZJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYD_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBU_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXS_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55JBN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBB_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXE_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KCV_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZG_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HVJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HWJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXD_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KCU_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HUJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYG_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYE_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54LYH_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KCB_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HXJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55LCC_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HXK_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYC_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXQ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JUN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HUK_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JUM_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55LBC_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXM_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JZT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HUH_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXR_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXB_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBQ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYV_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYU_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HWH_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HTJ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HVH_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HVG_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HWG_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBR_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXU_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYA_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZF_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYF_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBA_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JUP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVM_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWM_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KXV_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVR_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWR_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KCT_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZD_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HTH_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JUL_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVQ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWQ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JXL_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JYN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KWA_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JYQ_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_55KBS_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JYP_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVS_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KYB_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54KZC_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JVN_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWS_2017-08-10_final
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HWK_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JLL_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HNK_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HLK_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JNL_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JML_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKM_2017-08-10_final
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HMK_2017-08-10_final

Return to ga_s2bm_ard_3 on 10th August 2017 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2017

August

10th