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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
2020-10-21 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-10-21_final
2020-10-21 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-21_final
2020-10-21 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-21_final
2020-10-21 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-10-21_final
2020-10-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-21_final
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2020-10-21 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-21_final
2020-10-21 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-21_final
2020-10-21 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-10-21_final.stac-item
2020-10-21 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-10-21_final
2020-10-21 12:06:19	ga_s2am_ard_3-2-1_50JLL_2020-10-21_final
2020-10-22 09:51:17	ga_s2am_ard_3-2-1_55LHC_2020-10-22_final.stac-item
2020-10-22 09:51:21	ga_s2am_ard_3-2-1_55LGC_2020-10-22_final
2020-10-22 09:51:53	ga_s2am_ard_3-2-1_55KFA_2020-10-22_final
2020-10-22 09:52:33	ga_s2am_ard_3-2-1_55KGT_2020-10-22_final
2020-10-22 09:52:37	ga_s2am_ard_3-2-1_55KFT_2020-10-22_final
2020-10-22 09:54:18	ga_s2am_ard_3-2-1_55JFL_2020-10-22_final
2020-10-22 09:54:28	ga_s2am_ard_3-2-1_55JCL_2020-10-22_final
2020-10-22 09:54:33	ga_s2am_ard_3-2-1_55JFK_2020-10-22_final
2020-10-22 09:54:36	ga_s2am_ard_3-2-1_55JEK_2020-10-22_final
2020-10-22 09:54:40	ga_s2am_ard_3-2-1_55JDK_2020-10-22_final
2020-10-22 09:54:43	ga_s2am_ard_3-2-1_55JCK_2020-10-22_final
2020-10-22 09:54:46	ga_s2am_ard_3-2-1_55JFJ_2020-10-22_final
2020-10-22 09:54:51	ga_s2am_ard_3-2-1_55JEJ_2020-10-22_final
2020-10-22 09:54:54	ga_s2am_ard_3-2-1_55JDJ_2020-10-22_final
2020-10-22 09:54:56	ga_s2am_ard_3-2-1_55JFH_2020-10-22_final
2020-10-22 09:54:58	ga_s2am_ard_3-2-1_55JCJ_2020-10-22_final
2020-10-22 09:55:05	ga_s2am_ard_3-2-1_55JEH_2020-10-22_final
2020-10-22 09:55:09	ga_s2am_ard_3-2-1_55JDH_2020-10-22_final
2020-10-22 09:55:12	ga_s2am_ard_3-2-1_55JCH_2020-10-22_final
2020-10-22 09:55:16	ga_s2am_ard_3-2-1_55JBH_2020-10-22_final
2020-10-22 09:55:20	ga_s2am_ard_3-2-1_55JEG_2020-10-22_final
2020-10-22 09:55:23	ga_s2am_ard_3-2-1_55JDG_2020-10-22_final
2020-10-22 09:55:26	ga_s2am_ard_3-2-1_55JCG_2020-10-22_final
2020-10-22 09:55:41	ga_s2am_ard_3-2-1_55JCF_2020-10-22_final
2020-10-22 09:55:44	ga_s2am_ard_3-2-1_55JBF_2020-10-22_final
2020-10-22 09:55:48	ga_s2am_ard_3-2-1_55HEE_2020-10-22_final
2020-10-22 09:55:52	ga_s2am_ard_3-2-1_55HDE_2020-10-22_final
2020-10-22 09:55:56	ga_s2am_ard_3-2-1_55HCE_2020-10-22_final
2020-10-22 09:55:59	ga_s2am_ard_3-2-1_55HBE_2020-10-22_final
2020-10-22 09:56:02	ga_s2am_ard_3-2-1_54HYK_2020-10-22_final
2020-10-22 09:56:25	ga_s2am_ard_3-2-1_55HCC_2020-10-22_final
2020-10-22 09:56:28	ga_s2am_ard_3-2-1_55HBC_2020-10-22_final
2020-10-22 09:56:30	ga_s2am_ard_3-2-1_54HYH_2020-10-22_final
2020-10-22 09:56:39	ga_s2am_ard_3-2-1_55HCB_2020-10-22_final
2020-10-22 09:56:50	ga_s2am_ard_3-2-1_55HDA_2020-10-22_final
2020-10-22 09:56:51	ga_s2am_ard_3-2-1_54HXG_2020-10-22_final
2020-10-22 09:56:54	ga_s2am_ard_3-2-1_55HCA_2020-10-22_final
2020-10-22 09:56:57	ga_s2am_ard_3-2-1_55HBA_2020-10-22_final
2020-10-22 09:56:59	ga_s2am_ard_3-2-1_54HYF_2020-10-22_final
2020-10-22 09:57:03	ga_s2am_ard_3-2-1_54HXF_2020-10-22_final
2020-10-22 09:57:14	ga_s2am_ard_3-2-1_55HDU_2020-10-22_final
2020-10-22 09:57:37	ga_s2am_ard_3-2-1_55HCT_2020-10-22_final
2020-10-22 09:57:41	ga_s2am_ard_3-2-1_55HBT_2020-10-22_final
2020-10-22 09:57:42	ga_s2am_ard_3-2-1_54HYC_2020-10-22_final
2020-10-22 09:57:46	ga_s2am_ard_3-2-1_54HXC_2020-10-22_final
2020-10-22 09:57:51	ga_s2am_ard_3-2-1_54HWC_2020-10-22_final
2020-10-22 09:57:52	ga_s2am_ard_3-2-1_55HCS_2020-10-22_final
2020-10-22 09:57:56	ga_s2am_ard_3-2-1_55HBS_2020-10-22_final
2020-10-22 09:57:56	ga_s2am_ard_3-2-1_54HYB_2020-10-22_final
2020-10-22 09:58:06	ga_s2am_ard_3-2-1_55GCR_2020-10-22_final
2020-10-22 09:58:10	ga_s2am_ard_3-2-1_55GBR_2020-10-22_final
2020-10-22 09:58:11	ga_s2am_ard_3-2-1_54GYA_2020-10-22_final
2020-10-22 09:58:19	ga_s2am_ard_3-2-1_55GCQ_2020-10-22_final
2020-10-22 09:58:25	ga_s2am_ard_3-2-1_55GBQ_2020-10-22_final.stac-item
2020-10-22 09:58:25	ga_s2am_ard_3-2-1_54GYV_2020-10-22_final.stac-item
2020-10-22 11:31:54	ga_s2am_ard_3-2-1_51LZC_2020-10-22_final
2020-10-22 11:31:58	ga_s2am_ard_3-2-1_51LYC_2020-10-22_final
2020-10-22 11:32:31	ga_s2am_ard_3-2-1_51KXA_2020-10-22_final
2020-10-22 11:32:56	ga_s2am_ard_3-2-1_51KYU_2020-10-22_final
2020-10-22 11:33:14	ga_s2am_ard_3-2-1_51KXT_2020-10-22_final
2020-10-22 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-10-22_final
2020-10-22 11:35:06	ga_s2am_ard_3-2-1_51JUL_2020-10-22_final
2020-10-22 11:35:21	ga_s2am_ard_3-2-1_51JUK_2020-10-22_final
2020-10-22 11:35:24	ga_s2am_ard_3-2-1_51JTK_2020-10-22_final
2020-10-22 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2020-10-22_final
2020-10-22 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-10-22_final
2020-10-22 11:35:36	ga_s2am_ard_3-2-1_51JUJ_2020-10-22_final
2020-10-22 11:35:39	ga_s2am_ard_3-2-1_51JTJ_2020-10-22_final
2020-10-22 11:35:42	ga_s2am_ard_3-2-1_50JQP_2020-10-22_final
2020-10-22 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-10-22_final
2020-10-22 11:35:50	ga_s2am_ard_3-2-1_51JUH_2020-10-22_final
2020-10-22 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-10-22_final
2020-10-22 11:35:56	ga_s2am_ard_3-2-1_50JQN_2020-10-22_final
2020-10-22 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-10-22_final
2020-10-22 11:36:05	ga_s2am_ard_3-2-1_51JUG_2020-10-22_final
2020-10-22 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-10-22_final
2020-10-22 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-10-22_final
2020-10-22 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-10-22_final
2020-10-22 11:36:29	ga_s2am_ard_3-2-1_51HVE_2020-10-22_final
2020-10-22 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-10-22_final
2020-10-22 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-10-22_final
2020-10-22 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-10-22_final
2020-10-22 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-10-22_final
2020-10-22 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-10-22_final
2020-10-22 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-10-22_final
2020-10-22 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-10-22_final
2020-10-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-22_final
2020-10-22 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-10-22_final
2020-10-22 11:37:18	ga_s2am_ard_3-2-1_51HUB_2020-10-22_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