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
2023-03-22 09:27:23	ga_s2am_ard_3-2-1_56HLC_2023-03-21_nrt.stac-item
2023-03-22 09:27:27	ga_s2am_ard_3-2-1_56HKC_2023-03-21_final.stac-item
2023-03-22 09:27:27	ga_s2am_ard_3-2-1_55HGT_2023-03-21_final.stac-item
2023-03-22 09:27:34	ga_s2am_ard_3-2-1_56HMB_2023-03-21_nrt.stac-item
2023-03-22 09:27:38	ga_s2am_ard_3-2-1_56HLB_2023-03-21_nrt.stac-item
2023-03-22 09:27:41	ga_s2am_ard_3-2-1_56HKB_2023-03-21_nrt.stac-item
2023-03-22 09:27:48	ga_s2am_ard_3-2-1_55HFS_2023-03-21_final.stac-item
2023-03-22 09:27:49	ga_s2am_ard_3-2-1_56GMA_2023-03-21_nrt.stac-item
2023-03-22 09:27:52	ga_s2am_ard_3-2-1_56GLA_2023-03-21_nrt.stac-item
2023-03-22 09:27:56	ga_s2am_ard_3-2-1_56GKA_2023-03-21_nrt.stac-item
2023-03-22 09:27:56	ga_s2am_ard_3-2-1_55GGR_2023-03-21_nrt.stac-item
2023-03-22 09:28:00	ga_s2am_ard_3-2-1_55GFR_2023-03-21_final.stac-item
2023-03-22 09:28:03	ga_s2am_ard_3-2-1_56GMV_2023-03-21_nrt.stac-item
2023-03-22 09:28:07	ga_s2am_ard_3-2-1_56GLV_2023-03-21_nrt.stac-item
2023-03-22 09:28:10	ga_s2am_ard_3-2-1_56GKV_2023-03-21_nrt.stac-item
2023-03-22 09:28:10	ga_s2am_ard_3-2-1_55GGQ_2023-03-21_nrt.stac-item
2023-03-22 09:28:14	ga_s2am_ard_3-2-1_55GFQ_2023-03-21_final.stac-item
2023-03-22 09:28:21	ga_s2am_ard_3-2-1_56GLU_2023-03-21_nrt.stac-item
2023-03-22 09:28:25	ga_s2am_ard_3-2-1_55GGP_2023-03-21_nrt.stac-item
2023-03-22 09:28:25	ga_s2am_ard_3-2-1_56GKU_2023-03-21_nrt.stac-item
2023-03-22 09:28:27	ga_s2am_ard_3-2-1_56GMT_2023-03-21_nrt.stac-item
2023-03-22 09:28:29	ga_s2am_ard_3-2-1_55GFP_2023-03-21_final.stac-item
2023-03-22 09:28:36	ga_s2am_ard_3-2-1_56GLT_2023-03-21_nrt.stac-item
2023-03-22 09:28:36	ga_s2am_ard_3-2-1_55GEP_2023-03-21_final.stac-item
2023-03-22 09:28:39	ga_s2am_ard_3-2-1_55GGN_2023-03-21_nrt.stac-item
2023-03-22 09:28:43	ga_s2am_ard_3-2-1_55GFN_2023-03-21_final.stac-item
2023-03-22 09:28:47	ga_s2am_ard_3-2-1_55GEN_2023-03-21_final.stac-item
2023-03-22 09:28:50	ga_s2am_ard_3-2-1_56GLS_2023-03-21_nrt.stac-item
2023-03-22 09:28:53	ga_s2am_ard_3-2-1_55GGM_2023-03-21_nrt.stac-item
2023-03-22 09:28:57	ga_s2am_ard_3-2-1_55GFM_2023-03-21_final.stac-item
2023-03-22 11:00:21	ga_s2am_ard_3-2-1_53LMH_2023-03-22_final.stac-item
2023-03-22 11:00:24	ga_s2am_ard_3-2-1_53LLH_2023-03-22_final.stac-item
2023-03-22 11:00:27	ga_s2am_ard_3-2-1_53LKH_2023-03-22_final.stac-item
2023-03-22 11:00:29	ga_s2am_ard_3-2-1_52LHN_2023-03-22_final.stac-item
2023-03-22 11:00:35	ga_s2am_ard_3-2-1_53LMG_2023-03-22_final.stac-item
2023-03-22 11:00:35	ga_s2am_ard_3-2-1_52LGN_2023-03-22_final.stac-item
2023-03-22 11:00:38	ga_s2am_ard_3-2-1_53LLG_2023-03-22_final.stac-item
2023-03-22 11:00:47	ga_s2am_ard_3-2-1_53LMF_2023-03-22_final.stac-item
2023-03-22 11:01:11	ga_s2am_ard_3-2-1_53LKE_2023-03-22_final.stac-item
2023-03-22 11:01:12	ga_s2am_ard_3-2-1_52LHK_2023-03-22_final.stac-item
2023-03-22 11:01:16	ga_s2am_ard_3-2-1_52LGK_2023-03-22_final.stac-item
2023-03-22 11:01:22	ga_s2am_ard_3-2-1_53LLD_2023-03-22_final.stac-item
2023-03-22 11:01:27	ga_s2am_ard_3-2-1_52LHJ_2023-03-22_final.stac-item
2023-03-22 11:01:30	ga_s2am_ard_3-2-1_52LGJ_2023-03-22_final.stac-item
2023-03-22 11:01:37	ga_s2am_ard_3-2-1_53LLC_2023-03-22_final.stac-item
2023-03-22 11:01:40	ga_s2am_ard_3-2-1_53LKC_2023-03-22_final.stac-item
2023-03-22 11:01:45	ga_s2am_ard_3-2-1_52LGH_2023-03-22_final.stac-item
2023-03-22 11:01:49	ga_s2am_ard_3-2-1_52LFH_2023-03-22_final.stac-item
2023-03-22 11:01:50	ga_s2am_ard_3-2-1_53KLB_2023-03-22_final.stac-item
2023-03-22 11:01:54	ga_s2am_ard_3-2-1_53KKB_2023-03-22_final.stac-item
2023-03-22 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-03-22_final.stac-item
2023-03-22 11:02:02	ga_s2am_ard_3-2-1_53KLA_2023-03-22_final.stac-item
2023-03-22 11:02:02	ga_s2am_ard_3-2-1_52KFG_2023-03-22_final.stac-item
2023-03-22 11:02:17	ga_s2am_ard_3-2-1_52KFF_2023-03-22_final.stac-item
2023-03-22 11:02:23	ga_s2am_ard_3-2-1_53KKV_2023-03-22_final.stac-item
2023-03-22 11:02:24	ga_s2am_ard_3-2-1_52KHE_2023-03-22_final.stac-item
2023-03-22 11:02:38	ga_s2am_ard_3-2-1_52KHD_2023-03-22_final.stac-item
2023-03-22 11:02:40	ga_s2am_ard_3-2-1_52KGD_2023-03-22_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_52KHC_2023-03-22_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_53KKT_2023-03-22_final.stac-item
2023-03-22 11:02:45	ga_s2am_ard_3-2-1_53KKU_2023-03-22_final.stac-item
2023-03-22 11:02:45	ga_s2am_ard_3-2-1_52KHD_2023-03-22_final.stac-item
2023-03-22 11:02:47	ga_s2am_ard_3-2-1_52KGD_2023-03-22_final.stac-item
2023-03-22 11:02:53	ga_s2am_ard_3-2-1_52KHC_2023-03-22_final.stac-item
2023-03-22 11:03:00	ga_s2am_ard_3-2-1_52KFC_2023-03-22_final.stac-item
2023-03-22 11:03:06	ga_s2am_ard_3-2-1_53KKS_2023-03-22_final.stac-item
2023-03-22 11:03:08	ga_s2am_ard_3-2-1_52KHB_2023-03-22_final.stac-item
2023-03-22 11:03:12	ga_s2am_ard_3-2-1_52KGB_2023-03-22_final.stac-item
2023-03-22 11:03:15	ga_s2am_ard_3-2-1_52KFB_2023-03-22_final.stac-item
2023-03-22 11:03:17	ga_s2am_ard_3-2-1_53KKR_2023-03-22_final.stac-item
2023-03-22 11:03:21	ga_s2am_ard_3-2-1_52KHA_2023-03-22_final.stac-item
2023-03-22 11:03:31	ga_s2am_ard_3-2-1_52KHV_2023-03-22_final.stac-item
2023-03-22 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-03-22_final.stac-item
2023-03-22 11:03:44	ga_s2am_ard_3-2-1_52KFV_2023-03-22_final.stac-item
2023-03-22 11:03:47	ga_s2am_ard_3-2-1_52KEV_2023-03-22_final.stac-item
2023-03-22 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-03-22_final.stac-item
2023-03-22 11:03:55	ga_s2am_ard_3-2-1_52KGU_2023-03-22_final.stac-item
2023-03-22 11:04:09	ga_s2am_ard_3-2-1_52JGT_2023-03-22_final.stac-item
2023-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-03-22_final.stac-item
2023-03-22 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-03-22_final.stac-item
2023-03-22 11:04:20	ga_s2am_ard_3-2-1_52JDT_2023-03-22_final.stac-item
2023-03-22 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-03-22_final.stac-item
2023-03-22 11:04:27	ga_s2am_ard_3-2-1_52JFS_2023-03-22_final.stac-item
2023-03-22 11:04:31	ga_s2am_ard_3-2-1_52JES_2023-03-22_final.stac-item
2023-03-22 11:04:34	ga_s2am_ard_3-2-1_52JGR_2023-03-22_final.stac-item
2023-03-22 11:04:34	ga_s2am_ard_3-2-1_52JDS_2023-03-22_final.stac-item
2023-03-22 11:05:00	ga_s2am_ard_3-2-1_52JEQ_2023-03-22_final.stac-item
2023-03-22 11:05:03	ga_s2am_ard_3-2-1_52JDQ_2023-03-22_final.stac-item
2023-03-22 11:05:18	ga_s2am_ard_3-2-1_52JDP_2023-03-22_final.stac-item
2023-03-22 11:05:21	ga_s2am_ard_3-2-1_52JCP_2023-03-22_final.stac-item
2023-03-22 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-03-22_final.stac-item
2023-03-22 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-03-22_final.stac-item
2023-03-22 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-03-22_final.stac-item
2023-03-22 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-03-22_final.stac-item
2023-03-22 11:06:08	ga_s2am_ard_3-2-1_52JBL_2023-03-22_final.stac-item
2023-03-22 11:06:27	ga_s2am_ard_3-2-1_52HEJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:30	ga_s2am_ard_3-2-1_52HDJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:31	ga_s2am_ard_3-2-1_52HCJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:35	ga_s2am_ard_3-2-1_52HEH_2023-03-22_nrt.stac-item
2023-03-22 11:06:35	ga_s2am_ard_3-2-1_51HYD_2023-03-22_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

Other products

All years