Search ga_s2bm_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

82 results

Time (local)	Label
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JGS_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGA_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_53KKR_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JES_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGU_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_53KKS_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDT_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFT_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JET_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGD_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KHA_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KHC_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52HBK_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JBM_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDN_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JEN_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCP_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFP_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCN_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFN_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JGR_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCM_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFM_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KED_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52HDK_2017-08-25_final.stac-item
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFA_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGB_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEV_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFV_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KDV_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGC_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_53KKT_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFQ_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCQ_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCL_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEC_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JBL_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KDU_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFR_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEU_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDM_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JEM_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDL_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JEL_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFC_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDQ_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JEQ_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KHB_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFB_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEB_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_51HYD_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JCR_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDP_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JGT_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JFS_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEA_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JEP_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KHV_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KGV_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDR_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JER_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52JDS_2017-08-25_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KFU_2017-08-25_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KRU_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KRT_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KVE_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KUE_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KQU_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KUC_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KUD_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KVD_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KRV_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KQV_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KTE_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KVC_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KTD_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KTC_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KUF_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KRA_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_53KQA_2017-08-26_final
2017-08-26 10:31:56	ga_s2bm_ard_3-2-1_54KTF_2017-08-26_final

Return to ga_s2bm_ard_3 whole collection 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

All years