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
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JNP_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JMM_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JNM_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HQJ_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVA_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51JTG_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JQM_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LVG_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JRS_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRC_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRV_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUB_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JPT_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRD_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRU_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KWA_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HNJ_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KWB_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LUC_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRB_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVV_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVR_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRA_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVB_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51JUN_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUV_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LUD_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KVT_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KTU_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JML_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JNL_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JRT_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LWG_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JQT_2016-12-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2016-12-05_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HEA_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JNP_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JMP_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JMM_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HGD_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55JGG_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56HKJ_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56KNA_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HFU_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55JHM_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JKM_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56HMJ_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HGU_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JLT_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HFV_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HEV_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HGV_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HGC_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_55HDS_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JMR_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JML_2016-12-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56KMA_2016-12-06_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55GCP_2016-12-06_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55GFP_2016-12-06_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55GEP_2016-12-06_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55GDP_2016-12-06_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55HDS_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDF_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LGK_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_51KZQ_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_51KZP_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEF_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEG_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LFH_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDE_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_51KZR_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDG_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEE_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KFE_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KCE_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KCG_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KEA_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDA_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KDC_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KBC_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LDJ_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KFG_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KGG_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LEJ_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LEH_2016-12-06_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52LGJ_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWC_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JBM_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51JYG_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HYD_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWD_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51JZM_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51KZP_2016-12-06_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JCT_2016-12-06_final.stac-item

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

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