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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
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2019-11-20 10:01:13	ga_s2am_ard_3-2-1_55LCD_2019-11-20_final
2019-11-20 10:01:30	ga_s2am_ard_3-2-1_55KFB_2019-11-20_final
2019-11-20 10:01:39	ga_s2am_ard_3-2-1_55KCB_2019-11-20_final
2019-11-20 10:01:44	ga_s2am_ard_3-2-1_55KFA_2019-11-20_final
2019-11-20 10:01:54	ga_s2am_ard_3-2-1_55KCA_2019-11-20_final
2019-11-20 10:02:35	ga_s2am_ard_3-2-1_55KDT_2019-11-20_final
2019-11-20 10:02:53	ga_s2am_ard_3-2-1_55KCS_2019-11-20_final
2019-11-20 10:03:07	ga_s2am_ard_3-2-1_55KCR_2019-11-20_final
2019-11-20 10:03:10	ga_s2am_ard_3-2-1_55KBR_2019-11-20_final
2019-11-20 10:03:18	ga_s2am_ard_3-2-1_55KDQ_2019-11-20_final
2019-11-20 10:03:25	ga_s2am_ard_3-2-1_55KBQ_2019-11-20_final
2019-11-20 10:03:33	ga_s2am_ard_3-2-1_55KDP_2019-11-20_final
2019-11-20 10:03:36	ga_s2am_ard_3-2-1_55KCP_2019-11-20_final
2019-11-20 10:03:39	ga_s2am_ard_3-2-1_55KBP_2019-11-20_final
2019-11-20 10:03:39	ga_s2am_ard_3-2-1_54KZU_2019-11-20_final
2019-11-20 10:03:44	ga_s2am_ard_3-2-1_54KYU_2019-11-20_final
2019-11-20 10:03:47	ga_s2am_ard_3-2-1_55JDN_2019-11-20_final
2019-11-20 10:03:54	ga_s2am_ard_3-2-1_54JZT_2019-11-20_final
2019-11-20 10:03:54	ga_s2am_ard_3-2-1_55JBN_2019-11-20_final
2019-11-20 10:03:57	ga_s2am_ard_3-2-1_54JYT_2019-11-20_final
2019-11-20 10:04:02	ga_s2am_ard_3-2-1_55JDM_2019-11-20_final
2019-11-20 10:04:05	ga_s2am_ard_3-2-1_55JCM_2019-11-20_final
2019-11-20 10:04:09	ga_s2am_ard_3-2-1_55JBM_2019-11-20_final
2019-11-20 10:04:12	ga_s2am_ard_3-2-1_54JYS_2019-11-20_final
2019-11-20 10:04:20	ga_s2am_ard_3-2-1_55JCL_2019-11-20_final
2019-11-20 10:04:23	ga_s2am_ard_3-2-1_55JBL_2019-11-20_final
2019-11-20 10:04:25	ga_s2am_ard_3-2-1_55JDK_2019-11-20_final
2019-11-20 10:04:26	ga_s2am_ard_3-2-1_54JYR_2019-11-20_final
2019-11-20 10:04:33	ga_s2am_ard_3-2-1_54JXR_2019-11-20_final
2019-11-20 10:04:34	ga_s2am_ard_3-2-1_55JCK_2019-11-20_final
2019-11-20 10:04:49	ga_s2am_ard_3-2-1_55JCJ_2019-11-20_final
2019-11-20 10:04:52	ga_s2am_ard_3-2-1_55JBJ_2019-11-20_final
2019-11-20 10:04:55	ga_s2am_ard_3-2-1_54JYP_2019-11-20_final
2019-11-20 10:04:58	ga_s2am_ard_3-2-1_54JXP_2019-11-20_final
2019-11-20 10:05:07	ga_s2am_ard_3-2-1_55JBH_2019-11-20_final
2019-11-20 10:05:10	ga_s2am_ard_3-2-1_54JYN_2019-11-20_final
2019-11-20 10:05:21	ga_s2am_ard_3-2-1_55JBG_2019-11-20_final
2019-11-20 10:05:24	ga_s2am_ard_3-2-1_54JYM_2019-11-20_final
2019-11-20 10:05:34	ga_s2am_ard_3-2-1_54JWM_2019-11-20_final
2019-11-20 10:05:42	ga_s2am_ard_3-2-1_54JXL_2019-11-20_final
2019-11-20 10:05:57	ga_s2am_ard_3-2-1_54HXK_2019-11-20_final
2019-11-20 10:06:00	ga_s2am_ard_3-2-1_54HWK_2019-11-20_final
2019-11-20 10:06:20	ga_s2am_ard_3-2-1_55HBC_2019-11-20_final
2019-11-20 10:06:21	ga_s2am_ard_3-2-1_54HYH_2019-11-20_final
2019-11-20 10:06:47	ga_s2am_ard_3-2-1_55HBA_2019-11-20_final
2019-11-20 10:06:54	ga_s2am_ard_3-2-1_54HXF_2019-11-20_final
2019-11-20 10:06:57	ga_s2am_ard_3-2-1_55HBV_2019-11-20_final
2019-11-20 10:06:58	ga_s2am_ard_3-2-1_54HWF_2019-11-20_final
2019-11-20 10:07:02	ga_s2am_ard_3-2-1_54HVF_2019-11-20_final
2019-11-20 10:07:04	ga_s2am_ard_3-2-1_54HYE_2019-11-20_final
2019-11-20 10:07:09	ga_s2am_ard_3-2-1_54HXE_2019-11-20_final
2019-11-20 10:07:13	ga_s2am_ard_3-2-1_54HWE_2019-11-20_final
2019-11-20 10:07:16	ga_s2am_ard_3-2-1_54HVE_2019-11-20_final
2019-11-20 11:41:16	ga_s2am_ard_3-2-1_51LVF_2019-11-20_final
2019-11-20 11:41:19	ga_s2am_ard_3-2-1_51LUF_2019-11-20_final
2019-11-20 11:42:18	ga_s2am_ard_3-2-1_51KUB_2019-11-20_final.stac-item
2019-11-20 11:42:32	ga_s2am_ard_3-2-1_51KUA_2019-11-20_final
2019-11-20 11:43:05	ga_s2am_ard_3-2-1_50KRD_2019-11-20_final
2019-11-20 11:43:12	ga_s2am_ard_3-2-1_51KVT_2019-11-20_final
2019-11-20 11:43:26	ga_s2am_ard_3-2-1_51KVS_2019-11-20_final
2019-11-20 11:43:30	ga_s2am_ard_3-2-1_51KUS_2019-11-20_final
2019-11-20 11:43:38	ga_s2am_ard_3-2-1_51KUR_2019-11-20_final
2019-11-20 11:43:38	ga_s2am_ard_3-2-1_51KUS_2019-11-20_final
2019-11-20 11:43:45	ga_s2am_ard_3-2-1_51KUR_2019-11-20_final
2019-11-20 11:43:48	ga_s2am_ard_3-2-1_51KTR_2019-11-20_final
2019-11-20 11:43:52	ga_s2am_ard_3-2-1_50KQA_2019-11-20_final
2019-11-20 11:44:03	ga_s2am_ard_3-2-1_51KTQ_2019-11-20_final
2019-11-20 11:44:06	ga_s2am_ard_3-2-1_50KQV_2019-11-20_final
2019-11-20 11:44:14	ga_s2am_ard_3-2-1_51KUP_2019-11-20_final
2019-11-20 11:44:17	ga_s2am_ard_3-2-1_50KRU_2019-11-20_final
2019-11-20 11:44:17	ga_s2am_ard_3-2-1_51KTP_2019-11-20_final
2019-11-20 11:44:21	ga_s2am_ard_3-2-1_50KQU_2019-11-20_final
2019-11-20 11:44:24	ga_s2am_ard_3-2-1_50KPU_2019-11-20_final
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_50JRT_2019-11-20_final
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_51JTN_2019-11-20_final
2019-11-20 11:44:35	ga_s2am_ard_3-2-1_50JQT_2019-11-20_final
2019-11-20 11:44:42	ga_s2am_ard_3-2-1_51JUM_2019-11-20_final
2019-11-20 11:44:46	ga_s2am_ard_3-2-1_51JTM_2019-11-20_final
2019-11-20 11:44:50	ga_s2am_ard_3-2-1_50JQS_2019-11-20_final
2019-11-20 11:44:52	ga_s2am_ard_3-2-1_51JUL_2019-11-20_final
2019-11-20 11:44:54	ga_s2am_ard_3-2-1_50JPS_2019-11-20_final
2019-11-20 11:45:01	ga_s2am_ard_3-2-1_51JTL_2019-11-20_final
2019-11-20 11:45:04	ga_s2am_ard_3-2-1_50JQR_2019-11-20_final
2019-11-20 11:45:08	ga_s2am_ard_3-2-1_50JPR_2019-11-20_final
2019-11-20 11:45:26	ga_s2am_ard_3-2-1_50JNQ_2019-11-20_final
2019-11-20 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2019-11-20_final
2019-11-20 11:45:33	ga_s2am_ard_3-2-1_50JQP_2019-11-20_final
2019-11-20 11:45:37	ga_s2am_ard_3-2-1_50JPP_2019-11-20_final
2019-11-20 11:45:45	ga_s2am_ard_3-2-1_51JTH_2019-11-20_final
2019-11-20 11:45:47	ga_s2am_ard_3-2-1_50JQN_2019-11-20_final
2019-11-20 11:45:55	ga_s2am_ard_3-2-1_50JNN_2019-11-20_final
2019-11-20 11:45:58	ga_s2am_ard_3-2-1_51JTG_2019-11-20_final
2019-11-20 11:46:02	ga_s2am_ard_3-2-1_50JQM_2019-11-20_final
2019-11-20 11:46:09	ga_s2am_ard_3-2-1_50JNM_2019-11-20_final
2019-11-20 11:46:14	ga_s2am_ard_3-2-1_50JMM_2019-11-20_final
2019-11-20 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-11-20_final
2019-11-20 11:46:35	ga_s2am_ard_3-2-1_50HPK_2019-11-20_final
2019-11-20 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-11-20_final
2019-11-20 11:46:42	ga_s2am_ard_3-2-1_50HMK_2019-11-20_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

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