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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

44 results

Time (local)	Label
2023-03-13 10:31:38	ga_s2am_ard_3-2-1_54KVG_2023-03-13_final.stac-item
2023-03-14 10:03:53	ga_s2am_ard_3-2-1_54JYT_2023-03-14_final.stac-item
2023-03-15 09:37:41	ga_s2am_ard_3-2-1_55HFS_2023-03-15_final.stac-item
2023-03-18 11:22:25	ga_s2am_ard_3-2-1_51KYA_2023-03-18_final.stac-item
2023-03-18 11:24:57	ga_s2am_ard_3-2-1_51JWL_2023-03-18_final.stac-item
2023-03-20 10:21:19	ga_s2am_ard_3-2-1_54LVJ_2023-03-20_final.stac-item
2023-03-20 10:22:43	ga_s2am_ard_3-2-1_54KVC_2023-03-20_final.stac-item
2023-03-20 10:24:54	ga_s2am_ard_3-2-1_54JVP_2023-03-20_final.stac-item
2023-03-20 10:26:39	ga_s2am_ard_3-2-1_53HNC_2023-03-20_final.stac-item
2023-03-21 09:51:14	ga_s2am_ard_3-2-1_55LGC_2023-03-21_final.stac-item
2023-03-21 11:36:04	ga_s2am_ard_3-2-1_50JQM_2023-03-21_final.stac-item
2023-03-22 11:01:16	ga_s2am_ard_3-2-1_52LGK_2023-03-22_final.stac-item
2023-03-22 11:02:32	ga_s2am_ard_3-2-1_52KFE_2023-03-22_final.stac-item
2023-03-23 10:29:38	ga_s2am_ard_3-2-1_54LXQ_2023-03-23_final.stac-item
2023-03-23 10:32:42	ga_s2am_ard_3-2-1_54KVC_2023-03-23_final.stac-item
2023-03-24 10:02:03	ga_s2am_ard_3-2-1_55KFU_2023-03-24_final.stac-item
2023-03-24 10:02:47	ga_s2am_ard_3-2-1_55KDS_2023-03-24_final.stac-item
2023-03-24 10:04:32	ga_s2am_ard_3-2-1_55JCK_2023-03-24_final.stac-item
2023-03-24 10:07:25	ga_s2am_ard_3-2-1_54HWD_2023-03-24_final.stac-item
2023-03-24 11:40:56	ga_s2am_ard_3-2-1_51LWG_2023-03-24_final.stac-item
2023-05-17 09:48:39	ga_s2am_ard_3-2-1_54GYU_2023-05-17_nrt.stac-item
2023-05-17 11:20:17	ga_s2am_ard_3-2-1_52LEP_2023-05-17_nrt.stac-item
2023-05-17 11:20:24	ga_s2am_ard_3-2-1_52LCP_2023-05-17_nrt.stac-item
2023-05-17 11:20:35	ga_s2am_ard_3-2-1_52LDN_2023-05-17_nrt.stac-item
2023-05-17 11:20:39	ga_s2am_ard_3-2-1_52LCN_2023-05-17_nrt.stac-item
2023-05-17 11:20:41	ga_s2am_ard_3-2-1_52LBN_2023-05-17_nrt.stac-item
2023-05-17 11:20:43	ga_s2am_ard_3-2-1_52LEM_2023-05-17_nrt.stac-item
2023-05-17 11:20:45	ga_s2am_ard_3-2-1_52LDM_2023-05-17_nrt.stac-item
2023-05-17 11:20:48	ga_s2am_ard_3-2-1_52LBN_2023-05-17_nrt.stac-item
2023-05-17 11:20:49	ga_s2am_ard_3-2-1_51LZH_2023-05-17_nrt.stac-item
2023-05-17 11:20:52	ga_s2am_ard_3-2-1_52LDM_2023-05-17_nrt.stac-item
2023-05-17 11:20:54	ga_s2am_ard_3-2-1_52LCM_2023-05-17_nrt.stac-item
2023-05-17 11:21:08	ga_s2am_ard_3-2-1_52LCL_2023-05-17_nrt.stac-item
2023-05-17 11:21:12	ga_s2am_ard_3-2-1_51LZF_2023-05-17_nrt.stac-item
2023-05-17 11:27:17	ga_s2am_ard_3-2-1_51HWA_2023-05-17_nrt.stac-item
2023-05-18 09:14:45	ga_s2am_ard_3-2-1_56JPP_2023-05-17_nrt.stac-item
2023-05-18 09:14:55	ga_s2am_ard_3-2-1_56JPN_2023-05-17_nrt.stac-item
2023-05-18 09:15:09	ga_s2am_ard_3-2-1_56JPM_2023-05-17_nrt.stac-item
2023-05-18 09:15:24	ga_s2am_ard_3-2-1_56JPL_2023-05-17_nrt.stac-item
2023-05-18 09:15:31	ga_s2am_ard_3-2-1_56HPK_2023-05-17_nrt.stac-item
2023-05-18 10:50:11	ga_s2am_ard_3-2-1_53LNJ_2023-05-18_nrt.stac-item
2023-05-18 10:50:14	ga_s2am_ard_3-2-1_53LMJ_2023-05-18_nrt.stac-item
2023-05-18 10:56:22	ga_s2am_ard_3-2-1_52HGJ_2023-05-18_nrt.stac-item
2023-05-18 10:56:24	ga_s2am_ard_3-2-1_52HFJ_2023-05-18_nrt.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

All years