Search ga_s2am_ard_3 on 27th July 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
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTB_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUB_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54JTS_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JQM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JNL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUD_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LVK_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQT_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWK_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQU_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTD_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KVD_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LXM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTC_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQA_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUF_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LXN_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWN_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LXP_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWP_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54JTT_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JQN_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LVL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LUJ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTV_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LVM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQQ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWQ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LXQ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JPL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54JTR_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JPM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JRN_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUG_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KVG_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KRP_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JQL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUA_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KVC_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUC_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54JUT_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTA_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KPS_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KPR_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JNM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KRR_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUU_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KUE_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KVE_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KVF_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JNN_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LVJ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWJ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTG_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54KTU_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KRB_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KRQ_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQS_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KQP_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JRM_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KRS_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LVH_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54LWH_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JMJ_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNM_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQL_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNL_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNJ_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNF_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_54JTQ_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HQE_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQK_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_54JTR_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JPL_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_54JTN_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQH_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JMH_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNH_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JPH_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNK_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JMF_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQG_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JMG_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNG_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JPM_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HPV_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HME_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HLE_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HNE_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQF_2016-07-27_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JQJ_2016-07-27_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_50KKV_2016-07-27_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_50KKA_2016-07-27_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHR_2016-07-27_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KGR_2016-07-27_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JGM_2016-07-27_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JGN_2016-07-27_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JFM_2016-07-27_final.stac-item

Return to ga_s2am_ard_3 on 27th July 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

July

27th