Search ga_s2am_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
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLC_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JMS_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLV_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLU_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHM_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHS_2017-11-26_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KNA_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KMA_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KKU_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JLT_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JKT_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JKS_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JMT_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGK_2017-11-26_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLB_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JLS_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLA_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KKV_2017-11-26_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JKM_2017-11-26_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KGS_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFT_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFA_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KEU_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFU_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFQ_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFP_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KHS_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KDR_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KER_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55JGN_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55JFN_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFB_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KGP_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KGB_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KFS_2017-11-27_final
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KHB_2017-11-27_final.stac-item
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_56KKG_2017-11-27_final.stac-item
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55KGQ_2017-11-27_final
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HBC_2017-11-27_final
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_54HYJ_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LWE_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LXD_2017-11-27_final.stac-item
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LYD_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LZD_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_52LBK_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LZE_2017-11-27_final
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_52LBJ_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVU_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXT_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUT_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JVM_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JWM_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXA_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWU_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXU_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JVF_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXQ_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUQ_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50JRS_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LXD_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXB_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JXN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JUN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50JRT_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JTN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LWC_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXV_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LYD_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LZD_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50JQM_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JTG_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JWN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JTM_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JVN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWA_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXS_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVA_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUS_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KYB_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KZB_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JUM_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HTD_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KYV_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXP_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUP_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JVK_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JWK_2017-11-27_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years