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
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52JBR_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JUF_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JYG_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HVE_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HWE_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWK_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JVK_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JYL_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JXF_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JVF_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWF_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXR_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HXC_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KCC_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KWQ_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HWB_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXT_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KCA_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXQ_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HUB_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HTC_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KWP_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBU_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KYP_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JYM_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52JBS_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBA_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KBB_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HVC_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWM_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXP_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXS_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KCB_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZS_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZP_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZQ_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JZM_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HWD_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HVD_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JZN_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZR_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HWC_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JVJ_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWJ_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWL_2018-05-18_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JGR_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53JKL_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LNH_2018-05-19_final.stac-item
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LMH_2018-05-19_final.stac-item
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LPH_2018-05-19_final.stac-item
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMQ_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLT_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLQ_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LLE_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLR_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHE_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKV_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KNT_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMT_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LQG_2018-05-19_final.stac-item
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLP_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JGS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53JKM_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKP_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LME_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LNE_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHB_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMR_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKA_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHF_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLB_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KPB_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHU_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLA_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LPD_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LLD_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KNA_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMA_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JHS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHV_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LMC_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LNC_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKQ_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LMD_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JFS_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LLC_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53JLM_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LPC_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JHT_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KMP_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52KHA_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KKR_2018-05-19_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53LPE_2018-05-19_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JGM_2018-05-19_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52HDK_2018-05-19_final.stac-item
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JFL_2018-05-19_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JEL_2018-05-19_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