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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
2023-05-09 12:03:41	ga_s2am_ard_3-2-1_50KLB_2023-05-09_final.stac-item
2023-05-10 11:34:28	ga_s2am_ard_3-2-1_51JVN_2023-05-10_final.stac-item
2023-05-10 11:34:46	ga_s2am_ard_3-2-1_51JUM_2023-05-10_final.stac-item
2023-05-10 11:34:54	ga_s2am_ard_3-2-1_51JWL_2023-05-10_final.stac-item
2023-05-10 11:35:01	ga_s2am_ard_3-2-1_51JUL_2023-05-10_final.stac-item
2023-05-10 11:35:03	ga_s2am_ard_3-2-1_51JTL_2023-05-10_final.stac-item
2023-05-10 11:35:07	ga_s2am_ard_3-2-1_51JWK_2023-05-10_final.stac-item
2023-05-10 11:35:15	ga_s2am_ard_3-2-1_51JUK_2023-05-10_final.stac-item
2023-05-10 11:35:18	ga_s2am_ard_3-2-1_51JTK_2023-05-10_final.stac-item
2023-05-10 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2023-05-10_final.stac-item
2023-05-10 11:35:41	ga_s2am_ard_3-2-1_51JVH_2023-05-10_final.stac-item
2023-05-10 11:35:44	ga_s2am_ard_3-2-1_51JUH_2023-05-10_final.stac-item
2023-05-10 11:35:50	ga_s2am_ard_3-2-1_50JQN_2023-05-10_final.stac-item
2023-05-10 11:35:55	ga_s2am_ard_3-2-1_51JVG_2023-05-10_final.stac-item
2023-05-10 11:36:02	ga_s2am_ard_3-2-1_51JTG_2023-05-10_final.stac-item
2023-05-10 11:36:05	ga_s2am_ard_3-2-1_50JQM_2023-05-10_final.stac-item
2023-05-10 11:36:17	ga_s2am_ard_3-2-1_51JTF_2023-05-10_final.stac-item
2023-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2023-05-10_final.stac-item
2023-05-10 11:36:42	ga_s2am_ard_3-2-1_51HUD_2023-05-10_final.stac-item
2023-05-10 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-05-10_final.stac-item
2023-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-05-10_final.stac-item
2023-05-10 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-05-10_final.stac-item
2023-05-10 11:37:15	ga_s2am_ard_3-2-1_51HTB_2023-05-10_final.stac-item
2023-05-10 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-05-10_final.stac-item
2023-05-10 11:37:23	ga_s2am_ard_3-2-1_50HNG_2023-05-10_final.stac-item
2023-05-10 11:37:24	ga_s2am_ard_3-2-1_51HTB_2023-05-10_final.stac-item
2023-05-10 11:37:26	ga_s2am_ard_3-2-1_50HPG_2023-05-10_final.stac-item
2023-05-10 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-05-10_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_50KKB_2023-05-12_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-05-12 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-05-12_final.stac-item
2023-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-05-12_final.stac-item
2023-05-12 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-05-12_final.stac-item
2023-05-12 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-05-12_final.stac-item
2023-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-05-12_final.stac-item
2023-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-05-12_final.stac-item
2023-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-05-12_final.stac-item
2023-05-12 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-05-12_final.stac-item
2023-05-12 12:14:44	ga_s2am_ard_3-2-1_49JFN_2023-05-12_final.stac-item
2023-05-12 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-05-12_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-05-12 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-05-12_final.stac-item
2023-05-13 11:43:03	ga_s2am_ard_3-2-1_51KTU_2023-05-13_final.stac-item
2023-05-13 11:43:04	ga_s2am_ard_3-2-1_50KRD_2023-05-13_final.stac-item
2023-05-13 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-05-13_final.stac-item
2023-05-13 11:43:36	ga_s2am_ard_3-2-1_50KQB_2023-05-13_final.stac-item
2023-05-13 11:43:47	ga_s2am_ard_3-2-1_50KRA_2023-05-13_final.stac-item
2023-05-13 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2023-05-13_final.stac-item
2023-05-13 11:44:05	ga_s2am_ard_3-2-1_50KQV_2023-05-13_final.stac-item
2023-05-13 11:44:13	ga_s2am_ard_3-2-1_51KUP_2023-05-13_final.stac-item
2023-05-13 11:44:16	ga_s2am_ard_3-2-1_50KRU_2023-05-13_final.stac-item
2023-05-13 11:44:16	ga_s2am_ard_3-2-1_51KTP_2023-05-13_final.stac-item
2023-05-13 11:44:23	ga_s2am_ard_3-2-1_50KPU_2023-05-13_final.stac-item
2023-05-13 11:44:34	ga_s2am_ard_3-2-1_50JQT_2023-05-13_final.stac-item
2023-05-13 11:44:40	ga_s2am_ard_3-2-1_51JUM_2023-05-13_final.stac-item
2023-05-13 11:44:45	ga_s2am_ard_3-2-1_50JQS_2023-05-13_final.stac-item
2023-05-13 11:44:47	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final.stac-item
2023-05-13 11:44:48	ga_s2am_ard_3-2-1_51JUM_2023-05-13_final.stac-item
2023-05-13 11:44:49	ga_s2am_ard_3-2-1_51JUL_2023-05-13_final.stac-item
2023-05-13 11:44:51	ga_s2am_ard_3-2-1_51JUL_2023-05-13_final.stac-item
2023-05-13 11:44:52	ga_s2am_ard_3-2-1_50JQS_2023-05-13_final.stac-item
2023-05-13 11:44:54	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final.stac-item
2023-05-13 11:44:59	ga_s2am_ard_3-2-1_51JTL_2023-05-13_final.stac-item
2023-05-13 11:45:06	ga_s2am_ard_3-2-1_50JPR_2023-05-13_final.stac-item
2023-05-13 11:45:11	ga_s2am_ard_3-2-1_50JNR_2023-05-13_final.stac-item
2023-05-13 11:45:14	ga_s2am_ard_3-2-1_51JTK_2023-05-13_final.stac-item
2023-05-13 11:45:46	ga_s2am_ard_3-2-1_50JQN_2023-05-13_final.stac-item
2023-05-13 11:45:54	ga_s2am_ard_3-2-1_50JNN_2023-05-13_final.stac-item
2023-05-13 11:45:56	ga_s2am_ard_3-2-1_51JTG_2023-05-13_final.stac-item
2023-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2023-05-13_final.stac-item
2023-05-13 11:46:07	ga_s2am_ard_3-2-1_51JTF_2023-05-13_final.stac-item
2023-05-13 11:46:08	ga_s2am_ard_3-2-1_50JNM_2023-05-13_final.stac-item
2023-05-13 11:46:26	ga_s2am_ard_3-2-1_50JML_2023-05-13_final.stac-item
2023-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-05-13_final.stac-item
2023-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-05-13_final.stac-item
2023-05-13 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2023-05-13_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-05-13_final.stac-item
2023-05-13 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-05-13_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-05-13 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-05-13_final.stac-item
2023-05-13 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-13_final.stac-item
2023-05-13 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-05-13_final.stac-item
2023-05-13 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-05-13_final.stac-item
2023-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-05-13_final.stac-item
2023-05-13 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-05-13_final.stac-item
2023-05-14 11:14:29	ga_s2am_ard_3-2-1_51JYN_2023-05-14_final.stac-item
2023-05-14 11:14:38	ga_s2am_ard_3-2-1_51JZM_2023-05-14_final.stac-item
2023-05-14 11:15:39	ga_s2am_ard_3-2-1_51JYH_2023-05-14_final.stac-item
2023-05-14 11:15:54	ga_s2am_ard_3-2-1_51JYG_2023-05-14_final.stac-item
2023-05-14 11:15:57	ga_s2am_ard_3-2-1_51JXG_2023-05-14_final.stac-item
2023-05-14 11:16:12	ga_s2am_ard_3-2-1_51JXF_2023-05-14_final.stac-item
2023-05-14 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-05-14_final.stac-item
2023-05-14 11:16:32	ga_s2am_ard_3-2-1_51HXE_2023-05-14_final.stac-item
2023-05-14 11:16:33	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-14_final.stac-item
2023-05-14 11:17:06	ga_s2am_ard_3-2-1_51HWB_2023-05-14_final.stac-item
2023-05-24 11:16:54	ga_s2am_ard_3-2-1_51HYC_2023-05-24_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

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