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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
2019-10-30 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-10-30_final
2019-10-30 12:14:48	ga_s2am_ard_3-2-1_49JFN_2019-10-30_final
2019-10-30 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-10-30_final
2019-10-31 10:01:15	ga_s2am_ard_3-2-1_55LCD_2019-10-31_final
2019-10-31 10:01:17	ga_s2am_ard_3-2-1_55LFC_2019-10-31_final
2019-10-31 10:01:21	ga_s2am_ard_3-2-1_55LEC_2019-10-31_final
2019-10-31 10:01:27	ga_s2am_ard_3-2-1_55LCC_2019-10-31_final
2019-10-31 10:01:32	ga_s2am_ard_3-2-1_55KFB_2019-10-31_final
2019-10-31 10:01:35	ga_s2am_ard_3-2-1_55KEB_2019-10-31_final
2019-10-31 10:01:39	ga_s2am_ard_3-2-1_55KDB_2019-10-31_final
2019-10-31 10:01:41	ga_s2am_ard_3-2-1_55KCB_2019-10-31_final
2019-10-31 10:01:53	ga_s2am_ard_3-2-1_55KDA_2019-10-31_final
2019-10-31 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-10-31_final
2019-10-31 10:02:08	ga_s2am_ard_3-2-1_55KDV_2019-10-31_final
2019-10-31 10:02:11	ga_s2am_ard_3-2-1_55KCV_2019-10-31_final
2019-10-31 10:03:09	ga_s2am_ard_3-2-1_55KCR_2019-10-31_final
2019-10-31 10:03:27	ga_s2am_ard_3-2-1_54KZV_2019-10-31_final
2019-10-31 10:03:56	ga_s2am_ard_3-2-1_54JZT_2019-10-31_final
2019-10-31 10:03:59	ga_s2am_ard_3-2-1_54JYT_2019-10-31_final
2019-10-31 10:04:40	ga_s2am_ard_3-2-1_55JBK_2019-10-31_final
2019-10-31 10:04:43	ga_s2am_ard_3-2-1_54JYQ_2019-10-31_final
2019-10-31 10:04:47	ga_s2am_ard_3-2-1_54JXQ_2019-10-31_final
2019-10-31 10:04:57	ga_s2am_ard_3-2-1_54JYP_2019-10-31_final
2019-10-31 10:05:01	ga_s2am_ard_3-2-1_54JXP_2019-10-31_final
2019-10-31 10:05:06	ga_s2am_ard_3-2-1_55JCH_2019-10-31_final
2019-10-31 10:05:15	ga_s2am_ard_3-2-1_54JXN_2019-10-31_final
2019-10-31 10:05:30	ga_s2am_ard_3-2-1_54JXM_2019-10-31_final
2019-10-31 10:05:32	ga_s2am_ard_3-2-1_55JCF_2019-10-31_final
2019-10-31 10:05:42	ga_s2am_ard_3-2-1_55HCE_2019-10-31_final
2019-10-31 10:05:44	ga_s2am_ard_3-2-1_54JXL_2019-10-31_final
2019-10-31 10:05:55	ga_s2am_ard_3-2-1_54HYK_2019-10-31_final
2019-10-31 10:06:07	ga_s2am_ard_3-2-1_55HBD_2019-10-31_final
2019-10-31 10:06:09	ga_s2am_ard_3-2-1_54HYJ_2019-10-31_final
2019-10-31 10:06:13	ga_s2am_ard_3-2-1_54HXJ_2019-10-31_final
2019-10-31 10:06:17	ga_s2am_ard_3-2-1_54HWJ_2019-10-31_final
2019-10-31 10:06:23	ga_s2am_ard_3-2-1_54HYH_2019-10-31_final
2019-10-31 10:06:28	ga_s2am_ard_3-2-1_54HXH_2019-10-31_final
2019-10-31 10:06:31	ga_s2am_ard_3-2-1_54HWH_2019-10-31_final
2019-10-31 10:06:36	ga_s2am_ard_3-2-1_55HBB_2019-10-31_final
2019-10-31 10:06:37	ga_s2am_ard_3-2-1_54HVH_2019-10-31_final
2019-10-31 10:06:38	ga_s2am_ard_3-2-1_54HYG_2019-10-31_final
2019-10-31 10:06:42	ga_s2am_ard_3-2-1_54HXG_2019-10-31_final
2019-10-31 10:06:46	ga_s2am_ard_3-2-1_54HWG_2019-10-31_final
2019-10-31 10:06:49	ga_s2am_ard_3-2-1_54HVG_2019-10-31_final
2019-10-31 10:06:57	ga_s2am_ard_3-2-1_54HXF_2019-10-31_final
2019-10-31 10:07:04	ga_s2am_ard_3-2-1_54HVF_2019-10-31_final
2019-10-31 10:07:17	ga_s2am_ard_3-2-1_54HYD_2019-10-31_final
2019-10-31 10:07:25	ga_s2am_ard_3-2-1_54HXD_2019-10-31_final
2019-10-31 10:07:33	ga_s2am_ard_3-2-1_54HVD_2019-10-31_final
2019-10-31 10:07:40	ga_s2am_ard_3-2-1_54HXC_2019-10-31_final
2019-10-31 10:07:44	ga_s2am_ard_3-2-1_54HWC_2019-10-31_final
2019-10-31 10:07:47	ga_s2am_ard_3-2-1_54HVC_2019-10-31_final.stac-item
2019-10-31 11:41:00	ga_s2am_ard_3-2-1_51LWG_2019-10-31_final.stac-item
2019-10-31 11:41:04	ga_s2am_ard_3-2-1_51LVG_2019-10-31_final
2019-10-31 11:41:50	ga_s2am_ard_3-2-1_51LUD_2019-10-31_final.stac-item
2019-10-31 11:41:55	ga_s2am_ard_3-2-1_51LWC_2019-10-31_final
2019-10-31 11:41:57	ga_s2am_ard_3-2-1_51LVC_2019-10-31_final
2019-10-31 11:41:58	ga_s2am_ard_3-2-1_51LUD_2019-10-31_final.stac-item
2019-10-31 11:42:02	ga_s2am_ard_3-2-1_51LWC_2019-10-31_final
2019-10-31 11:42:04	ga_s2am_ard_3-2-1_51LVC_2019-10-31_final
2019-10-31 11:42:05	ga_s2am_ard_3-2-1_51LUC_2019-10-31_final.stac-item
2019-10-31 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-10-31_final
2019-10-31 11:42:16	ga_s2am_ard_3-2-1_51KVB_2019-10-31_final
2019-10-31 11:42:20	ga_s2am_ard_3-2-1_51KUB_2019-10-31_final.stac-item
2019-10-31 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-10-31_final
2019-10-31 11:42:45	ga_s2am_ard_3-2-1_51KVV_2019-10-31_final
2019-10-31 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-31_final
2019-10-31 11:43:28	ga_s2am_ard_3-2-1_51KVS_2019-10-31_final
2019-10-31 11:43:54	ga_s2am_ard_3-2-1_50KQA_2019-10-31_final
2019-10-31 11:44:05	ga_s2am_ard_3-2-1_50KRV_2019-10-31_final
2019-10-31 11:44:13	ga_s2am_ard_3-2-1_50KPV_2019-10-31_final
2019-10-31 11:44:19	ga_s2am_ard_3-2-1_50KRU_2019-10-31_final
2019-10-31 11:44:34	ga_s2am_ard_3-2-1_50JRT_2019-10-31_final
2019-10-31 11:44:41	ga_s2am_ard_3-2-1_50JPT_2019-10-31_final
2019-10-31 11:45:03	ga_s2am_ard_3-2-1_51JTL_2019-10-31_final
2019-10-31 11:45:17	ga_s2am_ard_3-2-1_51JTK_2019-10-31_final
2019-10-31 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2019-10-31_final
2019-10-31 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2019-10-31_final
2019-10-31 11:45:35	ga_s2am_ard_3-2-1_50JQP_2019-10-31_final
2019-10-31 11:45:39	ga_s2am_ard_3-2-1_50JPP_2019-10-31_final
2019-10-31 11:45:53	ga_s2am_ard_3-2-1_50JPN_2019-10-31_final
2019-10-31 11:46:08	ga_s2am_ard_3-2-1_50JPM_2019-10-31_final
2019-10-31 11:46:18	ga_s2am_ard_3-2-1_50JQL_2019-10-31_final
2019-10-31 11:46:22	ga_s2am_ard_3-2-1_50JPL_2019-10-31_final
2019-10-31 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-10-31_final
2019-10-31 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-10-31_final
2019-10-31 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-10-31_final
2019-10-31 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-10-31_final
2019-10-31 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-31_final
2019-10-31 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-31_final
2019-10-31 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-31_final
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final
2019-10-31 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-31_final
2019-10-31 11:47:18	ga_s2am_ard_3-2-1_50HPG_2019-10-31_final.stac-item
2019-10-31 11:47:20	ga_s2am_ard_3-2-1_50HNG_2019-10-31_final.stac-item
2019-10-31 11:47:22	ga_s2am_ard_3-2-1_50HMG_2019-10-31_final.stac-item
2019-10-31 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2019-10-31 11:47:25	ga_s2am_ard_3-2-1_50HPG_2019-10-31_final.stac-item
2019-10-31 11:47:27	ga_s2am_ard_3-2-1_50HNG_2019-10-31_final.stac-item
2019-10-31 11:47:29	ga_s2am_ard_3-2-1_50HMG_2019-10-31_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

All years