Search ga_s2am_ard_3 whole collection

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
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JLL_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JMM_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JNM_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JLM_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HMJ_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JML_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50JNL_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HMK_2017-03-08_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HNK_2017-03-08_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KHR_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55JHN_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KHS_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KHP_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_56KKB_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KHQ_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KGS_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KFP_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_56KLU_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_55KGQ_2017-03-09_final
2017-03-09 09:42:05	ga_s2am_ard_3-2-1_56KLB_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GER_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GBR_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDE_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HEE_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDA_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GCR_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HEA_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDR_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_54GYA_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GBQ_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GEQ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEG_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JDG_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JGG_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JKM_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_54GYV_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCA_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFA_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HGB_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFD_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HED_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HEC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HET_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDT_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEF_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HGC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFT_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JFK_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JKQ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56HKK_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GCN_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDM_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDN_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GCM_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDD_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JDF_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JFF_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JFH_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HGD_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HEB_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDB_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GCP_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDP_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFU_2017-03-09_final.stac-item
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GEP_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JLR_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEK_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JKR_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JGL_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCU_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GDQ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JFJ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JKN_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JGH_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEH_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_56JKP_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEJ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFV_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCV_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55GCQ_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDV_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JFL_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HEV_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HBT_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_54HYC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HDS_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCS_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HES_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HBS_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HCT_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFC_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_54HYB_2017-03-09_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JGJ_2017-03-09_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51JUF_2017-03-09_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51JXF_2017-03-09_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51HWE_2017-03-09_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51HVE_2017-03-09_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51JWF_2017-03-09_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