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

First 100 results (query limit)

Time (local)	Label
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVV_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQJ_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTD_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTC_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JTN_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50JRT_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JUM_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JWN_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JVN_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUR_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVT_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVR_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWR_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUT_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWP_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUQ_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXU_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXR_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWT_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXT_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVP_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVU_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWU_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HVD_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JTF_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50JQL_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HUD_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JUH_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYU_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JXN_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXQ_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JUN_2018-05-11_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTE_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56HKG_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56JNL_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56JNT_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56JML_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56HLJ_2018-05-11_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56HMJ_2018-05-11_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKE_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LGK_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LFH_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LGH_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKC_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHH_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52KHF_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LGN_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHN_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LLH_2018-05-12_final.stac-item
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKH_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LMH_2018-05-12_final.stac-item
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LGM_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHM_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LLE_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LLC_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKG_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53KKA_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHK_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKJ_2018-05-12_final.stac-item
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52KHG_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53KKB_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LGL_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52LHL_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_53LKF_2018-05-12_final
2018-05-12 10:57:14	ga_s2bm_ard_3-2-1_52KGG_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFE_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KED_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFD_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEU_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JGT_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JDS_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JDT_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JET_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JFS_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KHF_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGV_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEC_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGB_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFC_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEA_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_53KKS_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGE_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFA_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_53KKV_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_53KKA_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGF_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KHE_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KDU_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JBL_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JFN_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JCN_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGD_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_53KKB_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFV_2018-05-12_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGG_2018-05-12_final
2018-05-12 11:06:04	ga_s2bm_ard_3-2-1_51HYD_2018-05-12_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