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
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUA_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTU_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQD_2018-06-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JNP_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51LUF_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTS_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUT_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQB_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVU_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KPV_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUS_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTR_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUR_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUQ_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQA_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVS_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPH_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51JTK_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51JTF_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRB_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQL_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQQ_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQK_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVB_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVR_2018-06-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUV_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPQ_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRC_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51JUM_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPT_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51LWG_2018-06-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUB_2018-06-08_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPS_2018-06-08_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTQ_2018-06-08_final
2018-06-09 09:32:40	ga_s2am_ard_3-2-1_56KLA_2018-06-09_final
2018-06-09 09:32:40	ga_s2am_ard_3-2-1_56KLB_2018-06-09_final
2018-06-09 09:32:40	ga_s2am_ard_3-2-1_56KNA_2018-06-09_final.stac-item
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56KMU_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JMP_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JNP_2018-06-09_final.stac-item
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HEA_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JNT_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56KLV_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56KLA_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HET_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HDT_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HFT_2018-06-09_final.stac-item
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HFC_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HGE_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JKL_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JKQ_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JLS_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56HKK_2018-06-09_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56KNA_2018-06-09_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KFC_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LGH_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_53LKJ_2018-06-09_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LFL_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCC_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KFF_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LGL_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LFM_2018-06-09_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LFK_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KDD_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KEC_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KDC_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KED_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LGN_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCB_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KDB_2018-06-09_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KBB_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KEB_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LEJ_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LDJ_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCE_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KFG_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KCG_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KFE_2018-06-09_final
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52LGK_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KDU_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KEU_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDP_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KCA_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KCB_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KCV_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KBA_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KBB_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51KZS_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KDV_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KEV_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KEB_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KDB_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HXC_2018-06-09_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JBQ_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HYE_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JYK_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JBL_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KEA_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KDA_2018-06-09_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51KZR_2018-06-09_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