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:

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First 100 results (query limit)

Time (local)	Label
2023-03-04 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-03-04_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-03-04 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-03-04_final.stac-item
2023-03-04 11:47:11	ga_s2am_ard_3-2-1_50HLH_2023-03-04_final.stac-item
2023-03-04 11:47:27	ga_s2am_ard_3-2-1_50HPF_2023-03-04_nrt.stac-item
2023-03-04 11:47:29	ga_s2am_ard_3-2-1_50HNF_2023-03-04_nrt.stac-item
2023-03-04 11:47:31	ga_s2am_ard_3-2-1_50HMF_2023-03-04_nrt.stac-item
2023-03-04 11:47:32	ga_s2am_ard_3-2-1_50HLF_2023-03-04_nrt.stac-item
2023-03-05 09:30:03	ga_s2am_ard_3-2-1_56LPM_2023-03-05_nrt.stac-item
2023-03-05 09:32:31	ga_s2am_ard_3-2-1_56KPB_2023-03-05_final.stac-item
2023-03-05 09:32:34	ga_s2am_ard_3-2-1_56KNB_2023-03-05_final.stac-item
2023-03-05 09:32:38	ga_s2am_ard_3-2-1_56KMB_2023-03-05_final.stac-item
2023-03-05 09:32:44	ga_s2am_ard_3-2-1_56KLB_2023-03-05_final.stac-item
2023-03-05 09:32:45	ga_s2am_ard_3-2-1_56KPA_2023-03-05_nrt.stac-item
2023-03-05 09:32:49	ga_s2am_ard_3-2-1_56KNA_2023-03-05_final.stac-item
2023-03-05 09:32:52	ga_s2am_ard_3-2-1_56KMA_2023-03-05_final.stac-item
2023-03-05 09:33:00	ga_s2am_ard_3-2-1_56KPV_2023-03-05_nrt.stac-item
2023-03-05 09:33:03	ga_s2am_ard_3-2-1_56KNV_2023-03-05_nrt.stac-item
2023-03-05 09:33:07	ga_s2am_ard_3-2-1_56KMV_2023-03-05_nrt.stac-item
2023-03-05 09:33:10	ga_s2am_ard_3-2-1_56KLV_2023-03-05_final.stac-item
2023-03-05 09:33:14	ga_s2am_ard_3-2-1_56KPU_2023-03-05_nrt.stac-item
2023-03-05 09:33:25	ga_s2am_ard_3-2-1_56KLU_2023-03-05_final.stac-item
2023-03-05 09:33:58	ga_s2am_ard_3-2-1_56JKS_2023-03-05_final.stac-item
2023-03-05 09:34:05	ga_s2am_ard_3-2-1_56JMR_2023-03-05_final.stac-item
2023-03-05 09:34:29	ga_s2am_ard_3-2-1_56JNP_2023-03-05_final.stac-item
2023-03-05 09:34:34	ga_s2am_ard_3-2-1_56JMP_2023-03-05_final.stac-item
2023-03-05 09:34:37	ga_s2am_ard_3-2-1_56JLP_2023-03-05_final.stac-item
2023-03-05 09:34:47	ga_s2am_ard_3-2-1_55JGJ_2023-03-05_final.stac-item
2023-03-05 09:35:06	ga_s2am_ard_3-2-1_56JLM_2023-03-05_final.stac-item
2023-03-05 09:35:21	ga_s2am_ard_3-2-1_56JLL_2023-03-05_final.stac-item
2023-03-05 09:35:36	ga_s2am_ard_3-2-1_56HLK_2023-03-05_final.stac-item
2023-03-05 09:35:55	ga_s2am_ard_3-2-1_56HMH_2023-03-05_nrt.stac-item
2023-03-05 09:36:04	ga_s2am_ard_3-2-1_56HLH_2023-03-05_final.stac-item
2023-03-05 09:36:08	ga_s2am_ard_3-2-1_56HKH_2023-03-05_final.stac-item
2023-03-05 09:36:14	ga_s2am_ard_3-2-1_55HFC_2023-03-05_final.stac-item
2023-03-05 09:36:34	ga_s2am_ard_3-2-1_56HLF_2023-03-05_nrt.stac-item
2023-03-05 09:36:37	ga_s2am_ard_3-2-1_56HKF_2023-03-05_final.stac-item
2023-03-05 09:36:39	ga_s2am_ard_3-2-1_55HGA_2023-03-05_final.stac-item
2023-03-05 09:36:43	ga_s2am_ard_3-2-1_55HFA_2023-03-05_final.stac-item
2023-03-05 09:37:07	ga_s2am_ard_3-2-1_55HGU_2023-03-05_final.stac-item
2023-03-05 09:37:35	ga_s2am_ard_3-2-1_56HKB_2023-03-05_nrt.stac-item
2023-03-05 09:37:36	ga_s2am_ard_3-2-1_55HGS_2023-03-05_nrt.stac-item
2023-03-05 09:37:40	ga_s2am_ard_3-2-1_55HFS_2023-03-05_final.stac-item
2023-03-05 09:37:44	ga_s2am_ard_3-2-1_55HES_2023-03-05_final.stac-item
2023-03-05 09:37:48	ga_s2am_ard_3-2-1_55HDS_2023-03-05_final.stac-item
2023-03-05 09:37:50	ga_s2am_ard_3-2-1_56GKA_2023-03-05_nrt.stac-item
2023-03-05 09:37:51	ga_s2am_ard_3-2-1_55GGR_2023-03-05_nrt.stac-item
2023-03-05 09:37:55	ga_s2am_ard_3-2-1_55GFR_2023-03-05_final.stac-item
2023-03-05 09:37:59	ga_s2am_ard_3-2-1_55GER_2023-03-05_final.stac-item
2023-03-05 09:38:02	ga_s2am_ard_3-2-1_55GDR_2023-03-05_final.stac-item
2023-03-05 09:38:04	ga_s2am_ard_3-2-1_56GKV_2023-03-05_nrt.stac-item
2023-03-05 09:38:05	ga_s2am_ard_3-2-1_55GGQ_2023-03-05_nrt.stac-item
2023-03-05 09:38:09	ga_s2am_ard_3-2-1_55GFQ_2023-03-05_final.stac-item
2023-03-05 09:38:13	ga_s2am_ard_3-2-1_55GEQ_2023-03-05_final.stac-item
2023-03-05 09:38:17	ga_s2am_ard_3-2-1_55GDQ_2023-03-05_final.stac-item
2023-03-05 09:38:56	ga_s2am_ard_3-2-1_55GEM_2023-03-05_final.stac-item
2023-03-05 09:38:59	ga_s2am_ard_3-2-1_55GDM_2023-03-05_final.stac-item
2023-03-05 09:39:00	ga_s2am_ard_3-2-1_55GCM_2023-03-05_final.stac-item
2023-03-05 11:10:22	ga_s2am_ard_3-2-1_52LHN_2023-03-05_final.stac-item
2023-03-05 11:10:26	ga_s2am_ard_3-2-1_52LGN_2023-03-05_final.stac-item
2023-03-05 11:10:29	ga_s2am_ard_3-2-1_52LFN_2023-03-05_final.stac-item
2023-03-05 11:10:32	ga_s2am_ard_3-2-1_52LEN_2023-03-05_nrt.stac-item
2023-03-05 11:10:34	ga_s2am_ard_3-2-1_52LHM_2023-03-05_final.stac-item
2023-03-05 11:10:39	ga_s2am_ard_3-2-1_52LGM_2023-03-05_final.stac-item
2023-03-05 11:10:42	ga_s2am_ard_3-2-1_52LFM_2023-03-05_final.stac-item
2023-03-05 11:10:43	ga_s2am_ard_3-2-1_52LEM_2023-03-05_nrt.stac-item
2023-03-05 11:10:44	ga_s2am_ard_3-2-1_52LHL_2023-03-05_final.stac-item
2023-03-05 11:10:47	ga_s2am_ard_3-2-1_52LGM_2023-03-05_final.stac-item
2023-03-05 11:10:48	ga_s2am_ard_3-2-1_52LFM_2023-03-05_final.stac-item
2023-03-05 11:11:27	ga_s2am_ard_3-2-1_52LFJ_2023-03-05_final.stac-item
2023-03-05 11:11:31	ga_s2am_ard_3-2-1_52LEJ_2023-03-05_final.stac-item
2023-03-05 11:11:34	ga_s2am_ard_3-2-1_52LDJ_2023-03-05_final.stac-item
2023-03-05 11:13:10	ga_s2am_ard_3-2-1_52KBC_2023-03-05_final.stac-item
2023-03-05 11:13:12	ga_s2am_ard_3-2-1_52KEB_2023-03-05_final.stac-item
2023-03-05 11:13:16	ga_s2am_ard_3-2-1_52KDB_2023-03-05_final.stac-item
2023-03-05 11:13:19	ga_s2am_ard_3-2-1_52KCB_2023-03-05_final.stac-item
2023-03-05 11:13:27	ga_s2am_ard_3-2-1_52KEA_2023-03-05_final.stac-item
2023-03-05 11:13:30	ga_s2am_ard_3-2-1_52KDA_2023-03-05_final.stac-item
2023-03-05 11:13:33	ga_s2am_ard_3-2-1_52KCA_2023-03-05_final.stac-item
2023-03-05 11:13:36	ga_s2am_ard_3-2-1_52KBA_2023-03-05_final.stac-item
2023-03-05 11:13:41	ga_s2am_ard_3-2-1_52KEV_2023-03-05_final.stac-item
2023-03-05 11:13:45	ga_s2am_ard_3-2-1_52KDV_2023-03-05_final.stac-item
2023-03-05 11:13:48	ga_s2am_ard_3-2-1_52KCV_2023-03-05_final.stac-item
2023-03-05 11:13:51	ga_s2am_ard_3-2-1_52KBV_2023-03-05_final.stac-item
2023-03-05 11:14:02	ga_s2am_ard_3-2-1_52KCU_2023-03-05_final.stac-item
2023-03-05 11:14:28	ga_s2am_ard_3-2-1_52JDS_2023-03-05_final.stac-item
2023-03-05 11:14:35	ga_s2am_ard_3-2-1_52JBS_2023-03-05_final.stac-item
2023-03-05 11:14:43	ga_s2am_ard_3-2-1_52JDR_2023-03-05_final.stac-item
2023-03-05 11:15:09	ga_s2am_ard_3-2-1_52JDP_2023-03-05_final.stac-item
2023-03-05 11:15:15	ga_s2am_ard_3-2-1_52JCP_2023-03-05_final.stac-item
2023-03-05 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2023-03-05_final.stac-item
2023-03-05 11:15:26	ga_s2am_ard_3-2-1_51JXJ_2023-03-05_final.stac-item
2023-03-05 11:15:54	ga_s2am_ard_3-2-1_51JXG_2023-03-05_final.stac-item
2023-03-05 11:15:59	ga_s2am_ard_3-2-1_52JCL_2023-03-05_final.stac-item
2023-03-05 11:16:09	ga_s2am_ard_3-2-1_51JXF_2023-03-05_final.stac-item
2023-03-05 11:16:27	ga_s2am_ard_3-2-1_51HWE_2023-03-05_final.stac-item
2023-03-05 11:16:46	ga_s2am_ard_3-2-1_52HBH_2023-03-05_nrt.stac-item
2023-03-05 11:16:52	ga_s2am_ard_3-2-1_51HXC_2023-03-05_final.stac-item
2023-03-05 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-03-05_final.stac-item
2023-03-05 11:16:59	ga_s2am_ard_3-2-1_52HBG_2023-03-05_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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