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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
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_53KKT_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEP_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KGC_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JBM_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEM_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDM_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JER_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDR_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDS_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KGA_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JGS_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KEV_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFD_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_53KKR_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFA_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JES_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFB_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JGR_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEL_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFU_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDL_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KGU_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KEA_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEQ_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KEC_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFC_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JCN_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JFN_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JGT_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_53KKS_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_51HYD_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDT_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JET_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KGD_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KGB_2016-12-13_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LXN_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWN_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KQT_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KTC_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KPS_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUD_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUB_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KTA_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LXM_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KQR_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LVK_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KPR_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUA_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KPP_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWK_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KQV_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LVL_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KQP_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LVJ_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWL_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWJ_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LUJ_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KTU_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KVD_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LXP_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUC_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWQ_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWP_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUF_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KVC_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LXQ_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KTB_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LWM_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54LVM_2016-12-14_final.stac-item
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KTE_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KRU_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_53KQS_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KVF_2016-12-14_final
2016-12-14 10:28:40	ga_s2am_ard_3-2-1_54KUU_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JMJ_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNJ_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNG_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JMG_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JQM_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_54JTS_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNM_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53KPP_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_54JTR_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53KQP_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_54KTU_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNK_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_54JUT_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HND_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HPD_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HLD_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HMD_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HMC_2016-12-14_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HNC_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HPC_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JPH_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JQN_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_54JTT_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HMB_2016-12-14_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53HNB_2016-12-14_final
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNN_2016-12-14_final

Return to ga_s2am_ard_3 whole collection 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

All years