Search ga_s2am_ard_3 whole collection

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
2023-01-30 09:52:18	ga_s2am_ard_3-2-1_55KEU_2023-01-30_final.stac-item
2023-01-30 09:56:47	ga_s2am_ard_3-2-1_55HCA_2023-01-30_final.stac-item
2023-01-30 09:58:22	ga_s2am_ard_3-2-1_55GCP_2023-01-30_final.stac-item
2023-01-31 09:28:00	ga_s2am_ard_3-2-1_55GFR_2023-01-30_final.stac-item
2023-01-31 11:00:29	ga_s2am_ard_3-2-1_52LHN_2023-01-31_final.stac-item
2023-01-31 11:00:34	ga_s2am_ard_3-2-1_53LMG_2023-01-31_final.stac-item
2023-01-31 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-01-31_final.stac-item
2023-01-31 11:00:47	ga_s2am_ard_3-2-1_52LGM_2023-01-31_final.stac-item
2023-01-31 11:01:00	ga_s2am_ard_3-2-1_52LGL_2023-01-31_final.stac-item
2023-01-31 11:01:36	ga_s2am_ard_3-2-1_53LLC_2023-01-31_final.stac-item
2023-01-31 11:01:37	ga_s2am_ard_3-2-1_52LFJ_2023-01-31_final.stac-item
2023-01-31 11:01:44	ga_s2am_ard_3-2-1_52LGH_2023-01-31_final.stac-item
2023-01-31 11:01:48	ga_s2am_ard_3-2-1_52LFH_2023-01-31_final.stac-item
2023-01-31 11:01:50	ga_s2am_ard_3-2-1_53KLB_2023-01-31_final.stac-item
2023-01-31 11:01:59	ga_s2am_ard_3-2-1_52KGG_2023-01-31_final.stac-item
2023-01-31 11:02:01	ga_s2am_ard_3-2-1_53KLA_2023-01-31_final.stac-item
2023-01-31 11:02:02	ga_s2am_ard_3-2-1_52KFG_2023-01-31_final.stac-item
2023-01-31 11:02:08	ga_s2am_ard_3-2-1_53KKA_2023-01-31_final.stac-item
2023-01-31 11:02:10	ga_s2am_ard_3-2-1_52KHF_2023-01-31_final.stac-item
2023-01-31 11:02:13	ga_s2am_ard_3-2-1_52KGF_2023-01-31_final.stac-item
2023-01-31 11:02:17	ga_s2am_ard_3-2-1_52KFF_2023-01-31_final.stac-item
2023-01-31 11:02:24	ga_s2am_ard_3-2-1_52KHE_2023-01-31_final.stac-item
2023-01-31 11:02:28	ga_s2am_ard_3-2-1_52KGE_2023-01-31_final.stac-item
2023-01-31 11:02:31	ga_s2am_ard_3-2-1_52KFE_2023-01-31_final.stac-item
2023-01-31 11:02:38	ga_s2am_ard_3-2-1_52KHD_2023-01-31_final.stac-item
2023-01-31 11:02:42	ga_s2am_ard_3-2-1_52KGD_2023-01-31_final.stac-item
2023-01-31 11:02:46	ga_s2am_ard_3-2-1_52KFD_2023-01-31_final.stac-item
2023-01-31 11:02:50	ga_s2am_ard_3-2-1_52KED_2023-01-31_final.stac-item
2023-01-31 11:02:52	ga_s2am_ard_3-2-1_53KKT_2023-01-31_final.stac-item
2023-01-31 11:02:53	ga_s2am_ard_3-2-1_52KHC_2023-01-31_final.stac-item
2023-01-31 11:02:57	ga_s2am_ard_3-2-1_52KGC_2023-01-31_final.stac-item
2023-01-31 11:03:00	ga_s2am_ard_3-2-1_52KFC_2023-01-31_final.stac-item
2023-01-31 11:03:03	ga_s2am_ard_3-2-1_52KEC_2023-01-31_final.stac-item
2023-01-31 11:03:06	ga_s2am_ard_3-2-1_53KKS_2023-01-31_final.stac-item
2023-01-31 11:03:08	ga_s2am_ard_3-2-1_52KHB_2023-01-31_final.stac-item
2023-01-31 11:03:11	ga_s2am_ard_3-2-1_52KGB_2023-01-31_final.stac-item
2023-01-31 11:03:15	ga_s2am_ard_3-2-1_52KFB_2023-01-31_final.stac-item
2023-01-31 11:03:18	ga_s2am_ard_3-2-1_52KEB_2023-01-31_final.stac-item
2023-01-31 11:03:21	ga_s2am_ard_3-2-1_52KHA_2023-01-31_final.stac-item
2023-01-31 11:03:26	ga_s2am_ard_3-2-1_52KGA_2023-01-31_final.stac-item
2023-01-31 11:03:29	ga_s2am_ard_3-2-1_52KFA_2023-01-31_final.stac-item
2023-01-31 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-01-31_final.stac-item
2023-01-31 11:03:40	ga_s2am_ard_3-2-1_52KGV_2023-01-31_final.stac-item
2023-01-31 11:03:44	ga_s2am_ard_3-2-1_52KFV_2023-01-31_final.stac-item
2023-01-31 11:03:47	ga_s2am_ard_3-2-1_52KEV_2023-01-31_final.stac-item
2023-01-31 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-01-31_final.stac-item
2023-01-31 11:03:54	ga_s2am_ard_3-2-1_52KGU_2023-01-31_final.stac-item
2023-01-31 11:03:58	ga_s2am_ard_3-2-1_52KFU_2023-01-31_final.stac-item
2023-01-31 11:04:02	ga_s2am_ard_3-2-1_52KEU_2023-01-31_final.stac-item
2023-01-31 11:04:05	ga_s2am_ard_3-2-1_52KDU_2023-01-31_final.stac-item
2023-01-31 11:04:09	ga_s2am_ard_3-2-1_52JGT_2023-01-31_final.stac-item
2023-01-31 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-01-31_final.stac-item
2023-01-31 11:04:16	ga_s2am_ard_3-2-1_52JET_2023-01-31_final.stac-item
2023-01-31 11:04:19	ga_s2am_ard_3-2-1_52JDT_2023-01-31_final.stac-item
2023-01-31 11:04:22	ga_s2am_ard_3-2-1_52JGS_2023-01-31_final.stac-item
2023-01-31 11:04:25	ga_s2am_ard_3-2-1_52JFS_2023-01-31_final.stac-item
2023-01-31 11:04:26	ga_s2am_ard_3-2-1_52JES_2023-01-31_final.stac-item
2023-01-31 11:04:28	ga_s2am_ard_3-2-1_52JDS_2023-01-31_final.stac-item
2023-01-31 11:04:29	ga_s2am_ard_3-2-1_52JGS_2023-01-31_final.stac-item
2023-01-31 11:04:31	ga_s2am_ard_3-2-1_52JFS_2023-01-31_final.stac-item
2023-01-31 11:04:33	ga_s2am_ard_3-2-1_52JES_2023-01-31_final.stac-item
2023-01-31 11:04:34	ga_s2am_ard_3-2-1_52JGR_2023-01-31_final.stac-item
2023-01-31 11:04:35	ga_s2am_ard_3-2-1_52JDS_2023-01-31_final.stac-item
2023-01-31 11:04:41	ga_s2am_ard_3-2-1_52JFR_2023-01-31_final.stac-item
2023-01-31 11:04:45	ga_s2am_ard_3-2-1_52JER_2023-01-31_final.stac-item
2023-01-31 11:04:49	ga_s2am_ard_3-2-1_52JDR_2023-01-31_final.stac-item
2023-01-31 11:04:54	ga_s2am_ard_3-2-1_52JCR_2023-01-31_final.stac-item
2023-01-31 11:04:56	ga_s2am_ard_3-2-1_52JFQ_2023-01-31_final.stac-item
2023-01-31 11:05:00	ga_s2am_ard_3-2-1_52JEQ_2023-01-31_final.stac-item
2023-01-31 11:05:03	ga_s2am_ard_3-2-1_52JDQ_2023-01-31_final.stac-item
2023-01-31 11:05:06	ga_s2am_ard_3-2-1_52JCQ_2023-01-31_final.stac-item
2023-01-31 11:05:11	ga_s2am_ard_3-2-1_52JFP_2023-01-31_final.stac-item
2023-01-31 11:05:14	ga_s2am_ard_3-2-1_52JEP_2023-01-31_final.stac-item
2023-01-31 11:05:18	ga_s2am_ard_3-2-1_52JDP_2023-01-31_final.stac-item
2023-01-31 11:05:21	ga_s2am_ard_3-2-1_52JCP_2023-01-31_final.stac-item
2023-01-31 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-01-31_final.stac-item
2023-01-31 11:05:29	ga_s2am_ard_3-2-1_52JEN_2023-01-31_final.stac-item
2023-01-31 11:05:32	ga_s2am_ard_3-2-1_52JDN_2023-01-31_final.stac-item
2023-01-31 11:05:36	ga_s2am_ard_3-2-1_52JCN_2023-01-31_final.stac-item
2023-01-31 11:05:37	ga_s2am_ard_3-2-1_52JFM_2023-01-31_final.stac-item
2023-01-31 11:05:43	ga_s2am_ard_3-2-1_52JEM_2023-01-31_final.stac-item
2023-01-31 11:05:47	ga_s2am_ard_3-2-1_52JDM_2023-01-31_final.stac-item
2023-01-31 11:05:50	ga_s2am_ard_3-2-1_52JCM_2023-01-31_final.stac-item
2023-01-31 11:05:56	ga_s2am_ard_3-2-1_52JBM_2023-01-31_final.stac-item
2023-01-31 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-01-31_final.stac-item
2023-01-31 11:06:01	ga_s2am_ard_3-2-1_52JDL_2023-01-31_final.stac-item
2023-01-31 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-01-31_final.stac-item
2023-01-31 11:06:08	ga_s2am_ard_3-2-1_52JBL_2023-01-31_final.stac-item
2023-01-31 11:06:22	ga_s2am_ard_3-2-1_52HBK_2023-01-31_final.stac-item
2023-01-31 11:06:35	ga_s2am_ard_3-2-1_51HYD_2023-01-31_final.stac-item
2023-02-10 09:28:39	ga_s2am_ard_3-2-1_56GLT_2023-02-09_nrt.stac-item
2023-02-10 11:06:32	ga_s2am_ard_3-2-1_52HCJ_2023-02-10_nrt.stac-item
2023-02-11 10:31:08	ga_s2am_ard_3-2-1_54LTK_2023-02-11_nrt.stac-item
2023-02-11 10:31:09	ga_s2am_ard_3-2-1_53LRE_2023-02-11_nrt.stac-item
2023-02-11 10:31:18	ga_s2am_ard_3-2-1_54LTJ_2023-02-11_nrt.stac-item
2023-02-11 10:31:20	ga_s2am_ard_3-2-1_53LRD_2023-02-11_nrt.stac-item
2023-02-11 10:31:33	ga_s2am_ard_3-2-1_54LTH_2023-02-11_nrt.stac-item
2023-02-11 10:31:34	ga_s2am_ard_3-2-1_53LRC_2023-02-11_nrt.stac-item
2023-02-11 10:37:01	ga_s2am_ard_3-2-1_53HNA_2023-02-11_nrt.stac-item
2023-02-11 10:37:03	ga_s2am_ard_3-2-1_53HMA_2023-02-11_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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