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
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JNN_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNS_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KMS_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KPS_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KPA_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JMN_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JLH_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JKF_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LNC_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_52JGL_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KRU_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNU_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LQE_2018-04-16_final.stac-item
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KPB_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LPC_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KMU_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNA_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KQT_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNB_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LND_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_52JGM_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JKG_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53HLE_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JKL_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53HLD_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JLG_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_54KTG_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KQB_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53HMD_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LPF_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JMF_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KRB_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53HMC_2018-04-16_final.stac-item
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JNF_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JLK_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNV_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LQF_2018-04-16_final.stac-item
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JPN_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JLN_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LPE_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KQR_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JMM_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JNM_2018-04-16_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53LPG_2018-04-16_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JVT_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JWT_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZU_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZB_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JZT_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZA_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZV_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KCA_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXF_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUE_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVE_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HTH_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JVL_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JWL_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HWE_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZC_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JXN_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JUN_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXE_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KCV_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KZD_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVH_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HWH_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55LCC_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KCB_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KBT_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KBU_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55LCD_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KYC_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JYR_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUK_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HXK_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVC_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUJ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HXJ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HWJ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVJ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JXM_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JUM_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_53HQV_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HTJ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KBB_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KYG_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HUH_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVF_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HWF_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JXQ_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HTE_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54LZL_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_53HQB_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55LCE_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JYS_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_55KBR_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54LZP_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JVS_2018-04-17_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54JWS_2018-04-17_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