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
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51KZR_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCS_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KFC_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KDU_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LGH_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEU_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HXE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HWE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HXC_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JXG_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52HCK_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCT_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCQ_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JXH_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCN_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCM_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYF_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52HBK_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JBQ_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HYE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KFE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KDE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LFH_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEE_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEG_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HWB_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HXB_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51HWC_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYK_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KCF_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LEJ_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LDJ_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KBB_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51KZS_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KBV_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LFJ_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KBC_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51KZP_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYN_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KCB_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LEL_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JBT_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEB_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LGL_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KCV_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KFF_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JDS_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LHM_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LFM_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEV_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LGM_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KDV_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LGN_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52LHN_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KBA_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KDC_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYM_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52KEC_2016-07-29_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JMJ_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JNJ_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JPM_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JLM_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JLN_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNP_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KMP_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KQU_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JLK_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JLH_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JMH_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JKK_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNV_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53LPC_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNB_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KLP_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KPA_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53LND_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JPN_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KRA_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNS_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KPT_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KLQ_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KRB_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53LQF_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KQR_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53LPG_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JMM_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KMQ_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JNM_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53LQG_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNQ_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KMT_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KNT_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53JNG_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53JMG_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HMC_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HLE_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HME_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53JLG_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HKE_2016-07-30_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_52JGL_2016-07-30_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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