Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-11-16 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-11-16_final.stac-item
2021-11-16 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-11-16_final.stac-item
2021-11-16 11:33:39	ga_s2am_ard_3-2-1_51KXR_2021-11-16_final.stac-item
2021-11-16 11:33:43	ga_s2am_ard_3-2-1_51KWR_2021-11-16_final.stac-item
2021-11-16 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-11-16_final.stac-item
2021-11-16 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-11-16_final.stac-item
2021-11-16 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2021-11-16_final.stac-item
2021-11-16 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2021-11-16_final.stac-item
2021-11-16 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-11-16_final.stac-item
2021-11-16 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2021-11-16_final.stac-item
2021-11-16 11:34:06	ga_s2am_ard_3-2-1_51KXP_2021-11-16_final.stac-item
2021-11-16 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-11-16_final.stac-item
2021-11-16 11:34:15	ga_s2am_ard_3-2-1_51KVP_2021-11-16_final.stac-item
2021-11-16 11:34:16	ga_s2am_ard_3-2-1_51JXN_2021-11-16_final.stac-item
2021-11-16 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-11-16_final.stac-item
2021-11-16 11:34:26	ga_s2am_ard_3-2-1_51JWN_2021-11-16_final.stac-item
2021-11-16 11:34:30	ga_s2am_ard_3-2-1_51JVN_2021-11-16_final.stac-item
2021-11-16 11:34:33	ga_s2am_ard_3-2-1_51JUN_2021-11-16_final.stac-item
2021-11-16 11:34:37	ga_s2am_ard_3-2-1_51JTN_2021-11-16_final.stac-item
2021-11-16 11:34:38	ga_s2am_ard_3-2-1_50JRT_2021-11-16_final.stac-item
2021-11-16 11:34:40	ga_s2am_ard_3-2-1_51JWM_2021-11-16_final.stac-item
2021-11-16 11:34:44	ga_s2am_ard_3-2-1_51JVM_2021-11-16_final.stac-item
2021-11-16 11:34:47	ga_s2am_ard_3-2-1_51JUM_2021-11-16_final.stac-item
2021-11-16 11:34:50	ga_s2am_ard_3-2-1_50JRS_2021-11-16_final.stac-item
2021-11-16 11:34:50	ga_s2am_ard_3-2-1_51JTM_2021-11-16_final.stac-item
2021-11-16 11:34:55	ga_s2am_ard_3-2-1_51JWL_2021-11-16_final.stac-item
2021-11-16 11:34:59	ga_s2am_ard_3-2-1_51JVL_2021-11-16_final.stac-item
2021-11-16 11:35:02	ga_s2am_ard_3-2-1_51JUL_2021-11-16_final.stac-item
2021-11-16 11:35:05	ga_s2am_ard_3-2-1_51JTL_2021-11-16_final.stac-item
2021-11-16 11:35:09	ga_s2am_ard_3-2-1_51JWK_2021-11-16_final.stac-item
2021-11-16 11:35:13	ga_s2am_ard_3-2-1_51JVK_2021-11-16_final.stac-item
2021-11-16 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-11-16_final.stac-item
2021-11-16 11:35:20	ga_s2am_ard_3-2-1_51JTK_2021-11-16_final.stac-item
2021-11-16 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2021-11-16_final.stac-item
2021-11-16 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-11-16_final.stac-item
2021-11-16 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2021-11-16_final.stac-item
2021-11-16 11:35:34	ga_s2am_ard_3-2-1_51JTJ_2021-11-16_final.stac-item
2021-11-16 11:35:38	ga_s2am_ard_3-2-1_50JQP_2021-11-16_final.stac-item
2021-11-16 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-11-16_final.stac-item
2021-11-16 11:35:46	ga_s2am_ard_3-2-1_51JUH_2021-11-16_final.stac-item
2021-11-16 11:35:49	ga_s2am_ard_3-2-1_51JTH_2021-11-16_final.stac-item
2021-11-16 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-11-16_final.stac-item
2021-11-16 11:35:57	ga_s2am_ard_3-2-1_51JVG_2021-11-16_final.stac-item
2021-11-16 11:36:00	ga_s2am_ard_3-2-1_51JUG_2021-11-16_final.stac-item
2021-11-16 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-11-16_final.stac-item
2021-11-16 11:36:06	ga_s2am_ard_3-2-1_50JQM_2021-11-16_final.stac-item
2021-11-17 11:02:40	ga_s2am_ard_3-2-1_53KKU_2021-11-17_final.stac-item
2021-11-17 11:02:52	ga_s2am_ard_3-2-1_52KED_2021-11-17_final.stac-item
2021-11-17 11:02:55	ga_s2am_ard_3-2-1_53KKT_2021-11-17_final.stac-item
2021-11-17 11:03:06	ga_s2am_ard_3-2-1_52KEC_2021-11-17_final.stac-item
2021-11-17 11:03:08	ga_s2am_ard_3-2-1_53KKS_2021-11-17_final.stac-item
2021-11-17 11:03:20	ga_s2am_ard_3-2-1_53KKR_2021-11-17_final.stac-item
2021-11-17 11:03:20	ga_s2am_ard_3-2-1_52KEB_2021-11-17_final.stac-item
2021-11-17 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-11-17_final.stac-item
2021-11-17 11:03:54	ga_s2am_ard_3-2-1_52KDV_2021-11-17_final.stac-item
2021-11-17 11:04:04	ga_s2am_ard_3-2-1_52KEU_2021-11-17_final.stac-item
2021-11-17 11:04:07	ga_s2am_ard_3-2-1_52KDU_2021-11-17_final.stac-item
2021-11-17 11:04:09	ga_s2am_ard_3-2-1_52JGT_2021-11-17_final.stac-item
2021-11-17 11:04:10	ga_s2am_ard_3-2-1_52JFT_2021-11-17_final.stac-item
2021-11-17 11:04:12	ga_s2am_ard_3-2-1_52KEU_2021-11-17_final.stac-item
2021-11-17 11:04:12	ga_s2am_ard_3-2-1_52JET_2021-11-17_final.stac-item
2021-11-17 11:04:13	ga_s2am_ard_3-2-1_52KDU_2021-11-17_final.stac-item
2021-11-17 11:04:13	ga_s2am_ard_3-2-1_52JDT_2021-11-17_final.stac-item
2021-11-17 11:04:15	ga_s2am_ard_3-2-1_52JGT_2021-11-17_final.stac-item
2021-11-17 11:04:17	ga_s2am_ard_3-2-1_52JFT_2021-11-17_final.stac-item
2021-11-17 11:04:19	ga_s2am_ard_3-2-1_52JET_2021-11-17_final.stac-item
2021-11-17 11:04:22	ga_s2am_ard_3-2-1_52JDT_2021-11-17_final.stac-item
2021-11-17 11:04:25	ga_s2am_ard_3-2-1_52JGS_2021-11-17_final.stac-item
2021-11-17 11:04:29	ga_s2am_ard_3-2-1_52JFS_2021-11-17_final.stac-item
2021-11-17 11:04:33	ga_s2am_ard_3-2-1_52JES_2021-11-17_final.stac-item
2021-11-17 11:04:36	ga_s2am_ard_3-2-1_52JGR_2021-11-17_final.stac-item
2021-11-17 11:04:36	ga_s2am_ard_3-2-1_52JDS_2021-11-17_final.stac-item
2021-11-17 11:04:44	ga_s2am_ard_3-2-1_52JFR_2021-11-17_final.stac-item
2021-11-17 11:04:48	ga_s2am_ard_3-2-1_52JER_2021-11-17_final.stac-item
2021-11-17 11:04:51	ga_s2am_ard_3-2-1_52JDR_2021-11-17_final.stac-item
2021-11-17 11:04:56	ga_s2am_ard_3-2-1_52JCR_2021-11-17_final.stac-item
2021-11-17 11:04:58	ga_s2am_ard_3-2-1_52JFQ_2021-11-17_final.stac-item
2021-11-17 11:05:02	ga_s2am_ard_3-2-1_52JEQ_2021-11-17_final.stac-item
2021-11-17 11:05:05	ga_s2am_ard_3-2-1_52JDQ_2021-11-17_final.stac-item
2021-11-17 11:05:09	ga_s2am_ard_3-2-1_52JCQ_2021-11-17_final.stac-item
2021-11-17 11:05:13	ga_s2am_ard_3-2-1_52JFP_2021-11-17_final.stac-item
2021-11-17 11:05:17	ga_s2am_ard_3-2-1_52JEP_2021-11-17_final.stac-item
2021-11-17 11:05:20	ga_s2am_ard_3-2-1_52JDP_2021-11-17_final.stac-item
2021-11-17 11:05:23	ga_s2am_ard_3-2-1_52JCP_2021-11-17_final.stac-item
2021-11-17 11:05:27	ga_s2am_ard_3-2-1_52JFN_2021-11-17_final.stac-item
2021-11-17 11:05:31	ga_s2am_ard_3-2-1_52JEN_2021-11-17_final.stac-item
2021-11-17 11:05:35	ga_s2am_ard_3-2-1_52JDN_2021-11-17_final.stac-item
2021-11-17 11:05:38	ga_s2am_ard_3-2-1_52JCN_2021-11-17_final.stac-item
2021-11-17 11:05:39	ga_s2am_ard_3-2-1_52JFM_2021-11-17_final.stac-item
2021-11-17 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-11-17_final.stac-item
2021-11-17 11:05:49	ga_s2am_ard_3-2-1_52JDM_2021-11-17_final.stac-item
2021-11-17 11:05:52	ga_s2am_ard_3-2-1_52JCM_2021-11-17_final.stac-item
2021-11-17 11:05:59	ga_s2am_ard_3-2-1_52JBM_2021-11-17_final.stac-item
2021-11-17 11:06:00	ga_s2am_ard_3-2-1_52JEL_2021-11-17_final.stac-item
2021-11-17 11:06:04	ga_s2am_ard_3-2-1_52JDL_2021-11-17_final.stac-item
2021-11-17 11:06:07	ga_s2am_ard_3-2-1_52JCL_2021-11-17_final.stac-item
2021-11-17 11:06:11	ga_s2am_ard_3-2-1_52JBL_2021-11-17_final.stac-item
2021-11-17 11:06:18	ga_s2am_ard_3-2-1_52HDK_2021-11-17_final
2021-11-17 11:06:21	ga_s2am_ard_3-2-1_52HCK_2021-11-17_final
2021-11-17 11:06:24	ga_s2am_ard_3-2-1_52HBK_2021-11-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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