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
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMQ_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMP_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNP_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKN_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPV_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQA_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_51LUE_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQB_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQE_2017-11-28_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLS_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KMC_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPC_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KNC_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KNU_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KMU_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPS_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JQT_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPR_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNQ_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKP_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLQ_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMN_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKM_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JPQ_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNN_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLN_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNL_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMS_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNS_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KLU_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQU_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPA_2017-11-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KQF_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMH_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMG_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLG_2017-11-28_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLJ_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JKM_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMJ_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLH_2017-11-28_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50JNL_2017-11-28_final
2017-11-29 09:40:57	ga_s2bm_ard_3-2-1_56KKB_2017-11-29_final
2017-11-29 09:40:57	ga_s2bm_ard_3-2-1_56KMD_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JXL_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JVK_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWK_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYS_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LEK_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KXQ_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KBA_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYR_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LCK_2017-11-29_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KBB_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52JBS_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYM_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYV_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KBE_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KZV_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KXT_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KCA_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52JBT_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWP_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JXM_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KCC_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYN_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JVJ_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYJ_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52JBR_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYL_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYK_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JXK_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51LZC_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LBH_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51LYC_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52KBU_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JWM_2017-11-29_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYP_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JVJ_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HVC_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HWC_2017-11-29_final.stac-item
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JYH_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUB_2017-11-29_final.stac-item
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JWJ_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JVK_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HXE_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JYJ_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JVH_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JWH_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUD_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HXD_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUE_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JYG_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HWD_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HVD_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HXC_2017-11-29_final.stac-item
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HTC_2017-11-29_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HTB_2017-11-29_final.stac-item
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JWF_2017-11-29_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