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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
2022-08-23 11:32:01	ga_s2am_ard_3-2-1_51LZC_2022-08-23_final.stac-item
2022-08-23 11:32:12	ga_s2am_ard_3-2-1_51KZB_2022-08-23_final.stac-item
2022-08-23 11:32:59	ga_s2am_ard_3-2-1_51KVV_2022-08-23_final.stac-item
2022-08-23 11:33:21	ga_s2am_ard_3-2-1_51KXT_2022-08-23_final.stac-item
2022-08-23 11:33:25	ga_s2am_ard_3-2-1_51KWT_2022-08-23_final.stac-item
2022-08-23 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-08-23_final.stac-item
2022-08-23 11:33:54	ga_s2am_ard_3-2-1_51KWR_2022-08-23_final.stac-item
2022-08-23 11:36:12	ga_s2am_ard_3-2-1_51JUG_2022-08-23_final.stac-item
2022-08-23 11:36:18	ga_s2am_ard_3-2-1_50JQM_2022-08-23_final.stac-item
2022-08-23 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-08-23_final.stac-item
2022-08-23 11:36:39	ga_s2am_ard_3-2-1_50JPL_2022-08-23_final.stac-item
2022-08-23 11:36:46	ga_s2am_ard_3-2-1_51HVD_2022-08-23_final.stac-item
2022-08-23 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-08-23_final.stac-item
2022-08-23 11:36:50	ga_s2am_ard_3-2-1_50HPK_2022-08-23_final.stac-item
2022-08-23 11:37:30	ga_s2am_ard_3-2-1_50HQG_2022-08-23_final.stac-item
2022-08-24 11:00:41	ga_s2am_ard_3-2-1_53LKH_2022-08-24_final.stac-item
2022-08-24 11:00:49	ga_s2am_ard_3-2-1_53LMG_2022-08-24_final.stac-item
2022-08-24 11:00:56	ga_s2am_ard_3-2-1_53LKG_2022-08-24_final.stac-item
2022-08-24 11:00:57	ga_s2am_ard_3-2-1_52LHM_2022-08-24_final.stac-item
2022-08-24 11:01:15	ga_s2am_ard_3-2-1_52LGL_2022-08-24_final.stac-item
2022-08-24 11:01:59	ga_s2am_ard_3-2-1_52LGH_2022-08-24_final.stac-item
2022-08-24 11:02:04	ga_s2am_ard_3-2-1_53KLB_2022-08-24_final.stac-item
2022-08-24 11:02:16	ga_s2am_ard_3-2-1_53KKA_2022-08-24_final.stac-item
2022-08-24 11:02:16	ga_s2am_ard_3-2-1_52KHF_2022-08-24_final.stac-item
2022-08-24 11:02:24	ga_s2am_ard_3-2-1_52KHF_2022-08-24_final.stac-item
2022-08-24 11:02:31	ga_s2am_ard_3-2-1_52KFF_2022-08-24_final.stac-item
2022-08-24 11:03:07	ga_s2am_ard_3-2-1_52KHC_2022-08-24_final.stac-item
2022-08-24 11:03:15	ga_s2am_ard_3-2-1_52KFC_2022-08-24_final.stac-item
2022-08-24 11:03:32	ga_s2am_ard_3-2-1_52KEB_2022-08-24_final.stac-item
2022-08-24 11:03:45	ga_s2am_ard_3-2-1_52KHV_2022-08-24_final.stac-item
2022-08-24 11:04:19	ga_s2am_ard_3-2-1_52KDU_2022-08-24_final.stac-item
2022-08-24 11:04:34	ga_s2am_ard_3-2-1_52JDT_2022-08-24_final.stac-item
2022-08-24 11:04:45	ga_s2am_ard_3-2-1_52JES_2022-08-24_final.stac-item
2022-08-24 11:05:32	ga_s2am_ard_3-2-1_52JDP_2022-08-24_final.stac-item
2022-08-24 11:05:35	ga_s2am_ard_3-2-1_52JCP_2022-08-24_final.stac-item
2022-08-24 11:06:12	ga_s2am_ard_3-2-1_52JEL_2022-08-24_final.stac-item
2022-08-24 11:06:36	ga_s2am_ard_3-2-1_52HBK_2022-08-24_final.stac-item
2022-08-25 10:36:32	ga_s2am_ard_3-2-1_53HLE_2022-08-25_final.stac-item
2022-08-25 12:13:52	ga_s2am_ard_3-2-1_50KKB_2022-08-25_final.stac-item
2022-08-25 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-25_final.stac-item
2022-08-25 12:14:20	ga_s2am_ard_3-2-1_50KKV_2022-08-25_final.stac-item
2022-08-25 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-25_final.stac-item
2022-08-25 12:14:58	ga_s2am_ard_3-2-1_49JFN_2022-08-25_final.stac-item
2022-08-25 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-08-25_final.stac-item
2022-08-25 12:15:32	ga_s2am_ard_3-2-1_49JGK_2022-08-25_final.stac-item
2022-08-26 11:41:10	ga_s2am_ard_3-2-1_51LWG_2022-08-26_final.stac-item
2022-08-26 11:41:42	ga_s2am_ard_3-2-1_51LVE_2022-08-26_final.stac-item
2022-08-26 11:42:11	ga_s2am_ard_3-2-1_51LVC_2022-08-26_final.stac-item
2022-08-26 11:42:26	ga_s2am_ard_3-2-1_51KVB_2022-08-26_final.stac-item
2022-08-26 11:43:09	ga_s2am_ard_3-2-1_51KVU_2022-08-26_final.stac-item
2022-08-26 11:43:17	ga_s2am_ard_3-2-1_50KRD_2022-08-26_final.stac-item
2022-08-26 11:43:45	ga_s2am_ard_3-2-1_51KTS_2022-08-26_final.stac-item
2022-08-26 11:43:46	ga_s2am_ard_3-2-1_50KRB_2022-08-26_final.stac-item
2022-08-26 11:44:04	ga_s2am_ard_3-2-1_50KQA_2022-08-26_final.stac-item
2022-08-26 11:44:11	ga_s2am_ard_3-2-1_51KUQ_2022-08-26_final.stac-item
2022-08-26 11:44:22	ga_s2am_ard_3-2-1_50KPV_2022-08-26_final.stac-item
2022-08-26 11:44:25	ga_s2am_ard_3-2-1_51KUP_2022-08-26_final.stac-item
2022-08-26 11:44:29	ga_s2am_ard_3-2-1_50KRU_2022-08-26_final.stac-item
2022-08-26 11:44:32	ga_s2am_ard_3-2-1_50KQU_2022-08-26_final.stac-item
2022-08-26 11:44:36	ga_s2am_ard_3-2-1_50KPU_2022-08-26_final.stac-item
2022-08-26 11:44:43	ga_s2am_ard_3-2-1_51JTN_2022-08-26_final.stac-item
2022-08-26 11:44:57	ga_s2am_ard_3-2-1_50JRS_2022-08-26_final.stac-item
2022-08-26 11:44:58	ga_s2am_ard_3-2-1_51JTM_2022-08-26_final.stac-item
2022-08-26 11:45:16	ga_s2am_ard_3-2-1_51JTL_2022-08-26_final.stac-item
2022-08-26 11:45:24	ga_s2am_ard_3-2-1_50JNR_2022-08-26_final.stac-item
2022-08-26 11:45:45	ga_s2am_ard_3-2-1_50JQP_2022-08-26_final.stac-item
2022-08-26 11:45:59	ga_s2am_ard_3-2-1_50JQN_2022-08-26_final.stac-item
2022-08-26 11:46:13	ga_s2am_ard_3-2-1_50JQM_2022-08-26_final.stac-item
2022-08-26 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-08-26_final.stac-item
2022-08-26 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-08-26_final.stac-item
2022-08-26 11:47:06	ga_s2am_ard_3-2-1_50HQH_2022-08-26_final.stac-item
2022-08-26 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-08-26_final.stac-item
2022-08-26 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-26_final.stac-item
2022-08-26 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-08-26_final.stac-item
2022-08-26 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-08-26_final.stac-item
2022-08-26 11:47:37	ga_s2am_ard_3-2-1_50HMG_2022-08-26_final.stac-item
2022-08-27 11:16:43	ga_s2am_ard_3-2-1_51HWE_2022-08-27_final.stac-item
2022-08-27 11:16:49	ga_s2am_ard_3-2-1_51HYD_2022-08-27_final.stac-item
2022-08-28 10:42:34	ga_s2am_ard_3-2-1_53KPV_2022-08-28_final.stac-item
2022-08-28 10:43:35	ga_s2am_ard_3-2-1_53KNR_2022-08-28_final.stac-item
2022-08-28 10:43:50	ga_s2am_ard_3-2-1_53KNQ_2022-08-28_final.stac-item
2022-08-28 10:44:07	ga_s2am_ard_3-2-1_53KMP_2022-08-28_final.stac-item
2022-08-28 10:44:37	ga_s2am_ard_3-2-1_53JMM_2022-08-28_final.stac-item
2022-08-28 10:45:24	ga_s2am_ard_3-2-1_53JLJ_2022-08-28_final.stac-item
2022-08-28 10:45:49	ga_s2am_ard_3-2-1_53JMG_2022-08-28_final.stac-item
2022-08-29 11:52:24	ga_s2am_ard_3-2-1_50KQG_2022-08-29_final.stac-item
2022-08-30 11:26:54	ga_s2am_ard_3-2-1_51HXD_2022-08-30_final.stac-item
2022-08-30 11:26:56	ga_s2am_ard_3-2-1_51HWD_2022-08-30_final.stac-item
2022-08-30 11:26:58	ga_s2am_ard_3-2-1_51HVD_2022-08-30_final.stac-item
2022-08-30 11:27:00	ga_s2am_ard_3-2-1_51HXC_2022-08-30_final.stac-item
2022-08-30 11:27:14	ga_s2am_ard_3-2-1_51HUC_2022-08-30_final.stac-item
2023-07-06 11:20:21	ga_s2am_ard_3-2-1_52LEP_2023-07-06_nrt.stac-item
2023-07-06 11:20:31	ga_s2am_ard_3-2-1_52LBP_2023-07-06_nrt.stac-item
2023-07-06 11:20:36	ga_s2am_ard_3-2-1_52LEN_2023-07-06_nrt.stac-item
2023-07-06 11:20:45	ga_s2am_ard_3-2-1_52LBN_2023-07-06_nrt.stac-item
2023-07-06 11:20:50	ga_s2am_ard_3-2-1_52LEM_2023-07-06_nrt.stac-item
2023-07-06 11:21:08	ga_s2am_ard_3-2-1_52LDL_2023-07-06_nrt.stac-item
2023-07-06 11:21:23	ga_s2am_ard_3-2-1_52LDK_2023-07-06_nrt.stac-item
2023-07-06 11:27:21	ga_s2am_ard_3-2-1_51HWA_2023-07-06_nrt.stac-item
2023-07-07 10:56:27	ga_s2am_ard_3-2-1_52HGJ_2023-07-07_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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