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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

First 100 results (query limit)

Time (local)	Label
2020-08-15 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-15_final
2020-08-15 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-15_final
2020-08-16 10:01:20	ga_s2am_ard_3-2-1_55LFC_2020-08-16_final
2020-08-16 10:01:23	ga_s2am_ard_3-2-1_55LEC_2020-08-16_final
2020-08-16 10:01:30	ga_s2am_ard_3-2-1_55LCC_2020-08-16_final
2020-08-16 10:01:38	ga_s2am_ard_3-2-1_55KEB_2020-08-16_final
2020-08-16 10:01:41	ga_s2am_ard_3-2-1_55KDB_2020-08-16_final
2020-08-16 10:01:48	ga_s2am_ard_3-2-1_55KFA_2020-08-16_final
2020-08-16 10:01:56	ga_s2am_ard_3-2-1_55KDA_2020-08-16_final
2020-08-16 10:01:59	ga_s2am_ard_3-2-1_55KCA_2020-08-16_final
2020-08-16 10:02:07	ga_s2am_ard_3-2-1_55KEV_2020-08-16_final
2020-08-16 10:02:10	ga_s2am_ard_3-2-1_55KDV_2020-08-16_final
2020-08-16 10:02:14	ga_s2am_ard_3-2-1_55KCV_2020-08-16_final
2020-08-16 10:02:21	ga_s2am_ard_3-2-1_55KBV_2020-08-16_final
2020-08-16 10:02:50	ga_s2am_ard_3-2-1_55KES_2020-08-16_final
2020-08-16 10:02:54	ga_s2am_ard_3-2-1_55KDS_2020-08-16_final
2020-08-16 10:02:57	ga_s2am_ard_3-2-1_55KCS_2020-08-16_final
2020-08-16 10:03:12	ga_s2am_ard_3-2-1_55KCR_2020-08-16_final
2020-08-16 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2020-08-16_final
2020-08-16 10:04:06	ga_s2am_ard_3-2-1_55JDM_2020-08-16_final
2020-08-16 10:04:13	ga_s2am_ard_3-2-1_55JBM_2020-08-16_final
2020-08-16 10:04:17	ga_s2am_ard_3-2-1_54JYS_2020-08-16_final
2020-08-16 10:04:19	ga_s2am_ard_3-2-1_55JDL_2020-08-16_final
2020-08-16 10:04:24	ga_s2am_ard_3-2-1_55JCL_2020-08-16_final
2020-08-16 10:04:28	ga_s2am_ard_3-2-1_55JBL_2020-08-16_final
2020-08-16 10:04:29	ga_s2am_ard_3-2-1_55JDK_2020-08-16_final
2020-08-16 10:04:31	ga_s2am_ard_3-2-1_54JYR_2020-08-16_final
2020-08-16 10:04:38	ga_s2am_ard_3-2-1_54JXR_2020-08-16_final
2020-08-16 10:04:57	ga_s2am_ard_3-2-1_55JBJ_2020-08-16_final
2020-08-16 10:05:12	ga_s2am_ard_3-2-1_55JBH_2020-08-16_final
2020-08-16 10:05:14	ga_s2am_ard_3-2-1_54JYN_2020-08-16_final
2020-08-16 10:05:26	ga_s2am_ard_3-2-1_55JBG_2020-08-16_final
2020-08-16 10:05:29	ga_s2am_ard_3-2-1_54JYM_2020-08-16_final
2020-08-16 10:05:39	ga_s2am_ard_3-2-1_54JWM_2020-08-16_final
2020-08-16 10:05:51	ga_s2am_ard_3-2-1_54JWL_2020-08-16_final
2020-08-16 10:06:10	ga_s2am_ard_3-2-1_55HBD_2020-08-16_final
2020-08-16 10:06:12	ga_s2am_ard_3-2-1_54HYJ_2020-08-16_final
2020-08-16 10:06:16	ga_s2am_ard_3-2-1_54HXJ_2020-08-16_final
2020-08-16 10:06:20	ga_s2am_ard_3-2-1_54HWJ_2020-08-16_final
2020-08-16 10:06:26	ga_s2am_ard_3-2-1_54HYH_2020-08-16_final
2020-08-16 10:06:34	ga_s2am_ard_3-2-1_54HWH_2020-08-16_final
2020-08-16 10:06:38	ga_s2am_ard_3-2-1_55HBB_2020-08-16_final
2020-08-16 10:06:40	ga_s2am_ard_3-2-1_54HVH_2020-08-16_final
2020-08-16 10:06:41	ga_s2am_ard_3-2-1_54HYG_2020-08-16_final
2020-08-16 10:06:48	ga_s2am_ard_3-2-1_54HWG_2020-08-16_final
2020-08-16 10:06:52	ga_s2am_ard_3-2-1_54HVG_2020-08-16_final
2020-08-16 10:07:01	ga_s2am_ard_3-2-1_55HBV_2020-08-16_final
2020-08-16 10:07:03	ga_s2am_ard_3-2-1_54HWF_2020-08-16_final
2020-08-16 10:07:06	ga_s2am_ard_3-2-1_54HVF_2020-08-16_final
2020-08-16 10:07:09	ga_s2am_ard_3-2-1_54HYE_2020-08-16_final
2020-08-16 10:07:14	ga_s2am_ard_3-2-1_54HXE_2020-08-16_final
2020-08-16 10:07:17	ga_s2am_ard_3-2-1_54HWE_2020-08-16_final
2020-08-16 10:07:20	ga_s2am_ard_3-2-1_54HYD_2020-08-16_final
2020-08-16 10:07:21	ga_s2am_ard_3-2-1_54HVE_2020-08-16_final
2020-08-16 10:07:28	ga_s2am_ard_3-2-1_54HXD_2020-08-16_final
2020-08-16 10:07:41	ga_s2am_ard_3-2-1_54HUD_2020-08-16_final.stac-item
2020-08-16 11:42:01	ga_s2am_ard_3-2-1_51LWC_2020-08-16_final
2020-08-16 11:42:04	ga_s2am_ard_3-2-1_51LVC_2020-08-16_final
2020-08-16 11:42:08	ga_s2am_ard_3-2-1_51LUC_2020-08-16_final.stac-item
2020-08-16 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-08-16_final
2020-08-16 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-08-16_final
2020-08-16 11:42:27	ga_s2am_ard_3-2-1_51KWA_2020-08-16_final
2020-08-16 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-08-16_final
2020-08-16 11:42:37	ga_s2am_ard_3-2-1_51KUA_2020-08-16_final
2020-08-16 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-08-16_final
2020-08-16 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-08-16_final
2020-08-16 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-08-16_final
2020-08-16 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-16_final
2020-08-16 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-08-16_final
2020-08-16 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2020-08-16_final
2020-08-16 11:44:16	ga_s2am_ard_3-2-1_50KPV_2020-08-16_final
2020-08-16 11:44:51	ga_s2am_ard_3-2-1_51JTM_2020-08-16_final
2020-08-16 11:44:55	ga_s2am_ard_3-2-1_50JQS_2020-08-16_final
2020-08-16 11:44:57	ga_s2am_ard_3-2-1_51JUL_2020-08-16_final
2020-08-16 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-08-16_final
2020-08-16 11:45:09	ga_s2am_ard_3-2-1_50JQR_2020-08-16_final
2020-08-16 11:45:13	ga_s2am_ard_3-2-1_50JPR_2020-08-16_final
2020-08-16 11:45:17	ga_s2am_ard_3-2-1_50JNR_2020-08-16_final
2020-08-16 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2020-08-16_final
2020-08-16 11:45:35	ga_s2am_ard_3-2-1_51JTJ_2020-08-16_final
2020-08-16 11:45:45	ga_s2am_ard_3-2-1_50JNP_2020-08-16_final
2020-08-16 11:45:48	ga_s2am_ard_3-2-1_51JTH_2020-08-16_final
2020-08-16 11:45:49	ga_s2am_ard_3-2-1_50JQN_2020-08-16_final
2020-08-16 11:45:53	ga_s2am_ard_3-2-1_50JNP_2020-08-16_final
2020-08-16 11:45:53	ga_s2am_ard_3-2-1_50JNN_2020-08-16_final
2020-08-16 11:45:54	ga_s2am_ard_3-2-1_51JTH_2020-08-16_final
2020-08-16 11:45:56	ga_s2am_ard_3-2-1_50JQN_2020-08-16_final
2020-08-16 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-08-16_final
2020-08-16 11:46:03	ga_s2am_ard_3-2-1_51JTG_2020-08-16_final
2020-08-16 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-08-16_final
2020-08-16 11:46:29	ga_s2am_ard_3-2-1_50JNL_2020-08-16_final
2020-08-16 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-08-16_final
2020-08-16 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-08-16_final
2020-08-16 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-08-16_final
2020-08-16 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-08-16_final
2020-08-16 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-08-16_final
2020-08-16 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-16_final
2020-08-16 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-16_final
2020-08-16 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-08-16_final
2020-08-16 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-08-16_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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