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
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JQH_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HME_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JPF_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HNE_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JPL_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54JTN_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HQD_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HNC_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HMC_2018-08-31_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KQV_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HND_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KRA_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KTF_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KQA_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KTE_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KRV_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JQN_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54JUT_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KVG_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KWG_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KUA_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HMD_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HPA_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JPJ_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JMJ_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNF_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JMF_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HMB_2018-08-31_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HNB_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNJ_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNK_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KVC_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HPV_2018-08-31_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JMG_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54LUH_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNG_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KUG_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KUD_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KRR_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KTC_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KQT_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRN_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KPS_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54KUB_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_54JTT_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KRT_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRM_2018-08-31_final
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53KQU_2018-08-31_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JCF_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JYN_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYD_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JXL_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HUD_2018-09-01_final.stac-item
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HXD_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWD_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JXR_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HVD_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYJ_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JBH_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JCL_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55HBC_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HVH_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KES_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KDS_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWJ_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JYT_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KCS_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JCN_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KDB_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KEB_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KCB_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KFB_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JXP_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYF_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KDU_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HVG_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWG_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JDK_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JWL_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HXF_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYH_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYG_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KDP_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KDT_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWH_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55HBB_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYE_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWE_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HVE_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HXE_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55HBV_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JWM_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55KEU_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55JDL_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HVF_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54KZA_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HWF_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_55LCD_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54KZC_2018-09-01_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JZS_2018-09-01_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