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
2023-03-11 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2023-03-11_final.stac-item
2023-03-11 11:33:52	ga_s2am_ard_3-2-1_51KWQ_2023-03-11_final.stac-item
2023-03-11 11:33:55	ga_s2am_ard_3-2-1_51KVQ_2023-03-11_final.stac-item
2023-03-11 11:34:11	ga_s2am_ard_3-2-1_51JXN_2023-03-11_final.stac-item
2023-03-11 11:34:20	ga_s2am_ard_3-2-1_51JWN_2023-03-11_final.stac-item
2023-03-11 11:34:32	ga_s2am_ard_3-2-1_50JRT_2023-03-11_final.stac-item
2023-03-11 11:34:42	ga_s2am_ard_3-2-1_51JUM_2023-03-11_final.stac-item
2023-03-11 11:35:03	ga_s2am_ard_3-2-1_51JWK_2023-03-11_final.stac-item
2023-03-11 11:35:08	ga_s2am_ard_3-2-1_51JVK_2023-03-11_final.stac-item
2023-03-11 11:35:58	ga_s2am_ard_3-2-1_51JTG_2023-03-11_final.stac-item
2023-03-11 11:36:38	ga_s2am_ard_3-2-1_51HUD_2023-03-11_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-03-11 11:36:56	ga_s2am_ard_3-2-1_51HTC_2023-03-11_final.stac-item
2023-03-11 11:37:11	ga_s2am_ard_3-2-1_51HTB_2023-03-11_final.stac-item
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_final.stac-item
2023-03-11 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-03-11_final.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-03-11 11:37:24	ga_s2am_ard_3-2-1_50HPG_2023-03-11_final.stac-item
2023-03-11 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-03-12 09:23:03	ga_s2am_ard_3-2-1_56KPV_2023-03-11_nrt.stac-item
2023-03-12 09:23:47	ga_s2am_ard_3-2-1_56JPS_2023-03-11_nrt.stac-item
2023-03-12 09:25:43	ga_s2am_ard_3-2-1_56HPJ_2023-03-11_nrt.stac-item
2023-03-12 09:25:53	ga_s2am_ard_3-2-1_56HLJ_2023-03-11_final.stac-item
2023-03-12 09:25:56	ga_s2am_ard_3-2-1_56HPH_2023-03-11_nrt.stac-item
2023-03-12 09:26:07	ga_s2am_ard_3-2-1_56HPG_2023-03-11_nrt.stac-item
2023-03-12 09:26:08	ga_s2am_ard_3-2-1_56HLH_2023-03-11_final.stac-item
2023-03-12 09:26:15	ga_s2am_ard_3-2-1_56HNG_2023-03-11_nrt.stac-item
2023-03-12 09:26:19	ga_s2am_ard_3-2-1_56HMG_2023-03-11_nrt.stac-item
2023-03-12 09:26:22	ga_s2am_ard_3-2-1_56HLG_2023-03-11_final.stac-item
2023-03-12 09:26:30	ga_s2am_ard_3-2-1_56HNF_2023-03-11_nrt.stac-item
2023-03-12 09:26:33	ga_s2am_ard_3-2-1_56HMF_2023-03-11_nrt.stac-item
2023-03-12 09:26:44	ga_s2am_ard_3-2-1_56HNE_2023-03-11_nrt.stac-item
2023-03-12 09:26:48	ga_s2am_ard_3-2-1_56HME_2023-03-11_nrt.stac-item
2023-03-12 09:26:51	ga_s2am_ard_3-2-1_56HLE_2023-03-11_nrt.stac-item
2023-03-12 09:26:54	ga_s2am_ard_3-2-1_56HKE_2023-03-11_final.stac-item
2023-03-12 09:26:57	ga_s2am_ard_3-2-1_55HGV_2023-03-11_final.stac-item
2023-03-12 09:27:10	ga_s2am_ard_3-2-1_56HNC_2023-03-11_nrt.stac-item
2023-03-12 09:27:17	ga_s2am_ard_3-2-1_56HMC_2023-03-11_nrt.stac-item
2023-03-12 09:27:21	ga_s2am_ard_3-2-1_56HLC_2023-03-11_nrt.stac-item
2023-03-12 09:27:24	ga_s2am_ard_3-2-1_56HKC_2023-03-11_final.stac-item
2023-03-12 09:27:25	ga_s2am_ard_3-2-1_55HGT_2023-03-11_final.stac-item
2023-03-12 09:27:31	ga_s2am_ard_3-2-1_56HMB_2023-03-11_nrt.stac-item
2023-03-12 09:27:35	ga_s2am_ard_3-2-1_56HLB_2023-03-11_nrt.stac-item
2023-03-12 09:27:38	ga_s2am_ard_3-2-1_56HKB_2023-03-11_nrt.stac-item
2023-03-12 09:27:39	ga_s2am_ard_3-2-1_55HGS_2023-03-11_nrt.stac-item
2023-03-12 09:27:45	ga_s2am_ard_3-2-1_55HFS_2023-03-11_final.stac-item
2023-03-12 09:28:14	ga_s2am_ard_3-2-1_56GMU_2023-03-11_nrt.stac-item
2023-03-12 09:28:19	ga_s2am_ard_3-2-1_56GLU_2023-03-11_nrt.stac-item
2023-03-12 09:28:22	ga_s2am_ard_3-2-1_55GGP_2023-03-11_nrt.stac-item
2023-03-12 09:28:22	ga_s2am_ard_3-2-1_56GKU_2023-03-11_nrt.stac-item
2023-03-12 09:28:24	ga_s2am_ard_3-2-1_55GFP_2023-03-11_final.stac-item
2023-03-12 09:28:24	ga_s2am_ard_3-2-1_56GMT_2023-03-11_nrt.stac-item
2023-03-12 09:28:27	ga_s2am_ard_3-2-1_56GMT_2023-03-11_nrt.stac-item
2023-03-12 09:28:27	ga_s2am_ard_3-2-1_56GLT_2023-03-11_nrt.stac-item
2023-03-12 09:28:28	ga_s2am_ard_3-2-1_56GLU_2023-03-11_nrt.stac-item
2023-03-12 09:28:29	ga_s2am_ard_3-2-1_55GGN_2023-03-11_nrt.stac-item
2023-03-12 09:28:29	ga_s2am_ard_3-2-1_56GKU_2023-03-11_nrt.stac-item
2023-03-12 09:28:29	ga_s2am_ard_3-2-1_55GGP_2023-03-11_nrt.stac-item
2023-03-12 09:28:31	ga_s2am_ard_3-2-1_55GFP_2023-03-11_final.stac-item
2023-03-12 09:28:34	ga_s2am_ard_3-2-1_55GEP_2023-03-11_final.stac-item
2023-03-12 09:28:34	ga_s2am_ard_3-2-1_56GLT_2023-03-11_nrt.stac-item
2023-03-12 09:28:36	ga_s2am_ard_3-2-1_55GGN_2023-03-11_nrt.stac-item
2023-03-12 09:28:40	ga_s2am_ard_3-2-1_55GFN_2023-03-11_final.stac-item
2023-03-12 09:28:45	ga_s2am_ard_3-2-1_55GEN_2023-03-11_final.stac-item
2023-03-12 09:28:48	ga_s2am_ard_3-2-1_56GLS_2023-03-11_nrt.stac-item
2023-03-12 09:28:51	ga_s2am_ard_3-2-1_55GGM_2023-03-11_nrt.stac-item
2023-03-12 09:28:54	ga_s2am_ard_3-2-1_55GFM_2023-03-11_final.stac-item
2023-03-12 09:28:57	ga_s2am_ard_3-2-1_55GEM_2023-03-11_final.stac-item
2023-03-12 11:00:21	ga_s2am_ard_3-2-1_53LLH_2023-03-12_final.stac-item
2023-03-12 11:00:24	ga_s2am_ard_3-2-1_53LKH_2023-03-12_final.stac-item
2023-03-12 11:00:26	ga_s2am_ard_3-2-1_52LHN_2023-03-12_final.stac-item
2023-03-12 11:00:33	ga_s2am_ard_3-2-1_52LGN_2023-03-12_final.stac-item
2023-03-12 11:01:34	ga_s2am_ard_3-2-1_53LLC_2023-03-12_final.stac-item
2023-03-12 11:01:46	ga_s2am_ard_3-2-1_52LFH_2023-03-12_final.stac-item
2023-03-12 11:01:48	ga_s2am_ard_3-2-1_53KLB_2023-03-12_final.stac-item
2023-03-12 11:01:52	ga_s2am_ard_3-2-1_53KKB_2023-03-12_final.stac-item
2023-03-12 11:01:53	ga_s2am_ard_3-2-1_52KHG_2023-03-12_final.stac-item
2023-03-12 11:01:56	ga_s2am_ard_3-2-1_52KGG_2023-03-12_final.stac-item
2023-03-12 11:01:59	ga_s2am_ard_3-2-1_53KLA_2023-03-12_final.stac-item
2023-03-12 11:02:06	ga_s2am_ard_3-2-1_53KKA_2023-03-12_final.stac-item
2023-03-12 11:02:11	ga_s2am_ard_3-2-1_52KGF_2023-03-12_final.stac-item
2023-03-12 11:02:15	ga_s2am_ard_3-2-1_53KKV_2023-03-12_final.stac-item
2023-03-12 11:02:16	ga_s2am_ard_3-2-1_52KHF_2023-03-12_final.stac-item
2023-03-12 11:02:22	ga_s2am_ard_3-2-1_53KKV_2023-03-12_final.stac-item
2023-03-12 11:02:25	ga_s2am_ard_3-2-1_52KGE_2023-03-12_final.stac-item
2023-03-12 11:02:29	ga_s2am_ard_3-2-1_52KFE_2023-03-12_final.stac-item
2023-03-12 11:02:54	ga_s2am_ard_3-2-1_52KGC_2023-03-12_final.stac-item
2023-03-12 11:03:23	ga_s2am_ard_3-2-1_52KGA_2023-03-12_final.stac-item
2023-03-12 11:03:29	ga_s2am_ard_3-2-1_52KHV_2023-03-12_final.stac-item
2023-03-12 11:03:30	ga_s2am_ard_3-2-1_52KEA_2023-03-12_final.stac-item
2023-03-12 11:03:41	ga_s2am_ard_3-2-1_52KFV_2023-03-12_final.stac-item
2023-03-12 11:03:45	ga_s2am_ard_3-2-1_52KEV_2023-03-12_final.stac-item
2023-03-12 11:03:49	ga_s2am_ard_3-2-1_52KDV_2023-03-12_final.stac-item
2023-03-12 11:03:52	ga_s2am_ard_3-2-1_52KGU_2023-03-12_final.stac-item
2023-03-12 11:04:07	ga_s2am_ard_3-2-1_52JGT_2023-03-12_final.stac-item
2023-03-12 11:04:17	ga_s2am_ard_3-2-1_52JDT_2023-03-12_final.stac-item
2023-03-12 11:04:20	ga_s2am_ard_3-2-1_52JGS_2023-03-12_final.stac-item
2023-03-12 11:04:25	ga_s2am_ard_3-2-1_52JFS_2023-03-12_final.stac-item
2023-03-12 11:04:57	ga_s2am_ard_3-2-1_52JEQ_2023-03-12_final.stac-item
2023-03-12 11:05:01	ga_s2am_ard_3-2-1_52JDQ_2023-03-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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