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
2022-12-17 11:57:22	ga_s2am_ard_3-2-1_49HFC_2022-12-17_nrt.stac-item
2022-12-17 11:57:24	ga_s2am_ard_3-2-1_50HKG_2022-12-17_nrt.stac-item
2022-12-17 11:57:25	ga_s2am_ard_3-2-1_49HGB_2022-12-17_nrt.stac-item
2022-12-17 11:57:28	ga_s2am_ard_3-2-1_50HMF_2022-12-17_nrt.stac-item
2022-12-17 11:57:29	ga_s2am_ard_3-2-1_50HLF_2022-12-17_nrt.stac-item
2022-12-18 09:39:52	ga_s2am_ard_3-2-1_56LNN_2022-12-18_nrt.stac-item
2022-12-18 09:39:55	ga_s2am_ard_3-2-1_56LMN_2022-12-18_nrt.stac-item
2022-12-18 09:39:59	ga_s2am_ard_3-2-1_56LLN_2022-12-18_nrt.stac-item
2022-12-18 09:40:03	ga_s2am_ard_3-2-1_56LPM_2022-12-18_nrt.stac-item
2022-12-18 09:40:05	ga_s2am_ard_3-2-1_56LNM_2022-12-18_nrt.stac-item
2022-12-18 09:40:07	ga_s2am_ard_3-2-1_56LMM_2022-12-18_nrt.stac-item
2022-12-18 09:40:08	ga_s2am_ard_3-2-1_56LLM_2022-12-18_nrt.stac-item
2022-12-18 09:40:12	ga_s2am_ard_3-2-1_56LNL_2022-12-18_nrt.stac-item
2022-12-18 09:41:29	ga_s2am_ard_3-2-1_56KKG_2022-12-18_final.stac-item
2022-12-18 09:41:31	ga_s2am_ard_3-2-1_55KHB_2022-12-18_final.stac-item
2022-12-18 09:41:44	ga_s2am_ard_3-2-1_55KHA_2022-12-18_nrt.stac-item
2022-12-18 09:41:58	ga_s2am_ard_3-2-1_56KKE_2022-12-18_nrt.stac-item
2022-12-18 09:42:53	ga_s2am_ard_3-2-1_56KLA_2022-12-18_final.stac-item
2022-12-18 09:43:22	ga_s2am_ard_3-2-1_56KLU_2022-12-18_final.stac-item
2022-12-18 09:43:26	ga_s2am_ard_3-2-1_56KKU_2022-12-18_final.stac-item
2022-12-18 09:43:29	ga_s2am_ard_3-2-1_55KGP_2022-12-18_final.stac-item
2022-12-18 09:43:34	ga_s2am_ard_3-2-1_55KFP_2022-12-18_final.stac-item
2022-12-18 09:43:40	ga_s2am_ard_3-2-1_56JKT_2022-12-18_final.stac-item
2022-12-18 09:43:44	ga_s2am_ard_3-2-1_55JGN_2022-12-18_final.stac-item
2022-12-18 09:43:58	ga_s2am_ard_3-2-1_55JGM_2022-12-18_final.stac-item
2022-12-18 09:44:05	ga_s2am_ard_3-2-1_56JLR_2022-12-18_final.stac-item
2022-12-18 09:44:16	ga_s2am_ard_3-2-1_55JFL_2022-12-18_final.stac-item
2022-12-18 09:44:38	ga_s2am_ard_3-2-1_56JKP_2022-12-18_final.stac-item
2022-12-18 09:44:41	ga_s2am_ard_3-2-1_55JGJ_2022-12-18_final.stac-item
2022-12-18 09:44:53	ga_s2am_ard_3-2-1_56JKN_2022-12-18_final.stac-item
2022-12-18 09:45:00	ga_s2am_ard_3-2-1_55JFH_2022-12-18_final.stac-item
2022-12-18 09:45:14	ga_s2am_ard_3-2-1_55JFG_2022-12-18_final.stac-item
2022-12-18 09:45:29	ga_s2am_ard_3-2-1_55JFF_2022-12-18_final.stac-item
2022-12-18 09:45:32	ga_s2am_ard_3-2-1_55JEF_2022-12-18_final.stac-item
2022-12-18 09:45:36	ga_s2am_ard_3-2-1_55JDF_2022-12-18_final.stac-item
2022-12-18 09:45:54	ga_s2am_ard_3-2-1_55HGD_2022-12-18_final.stac-item
2022-12-18 09:46:01	ga_s2am_ard_3-2-1_55HED_2022-12-18_final.stac-item
2022-12-18 09:46:05	ga_s2am_ard_3-2-1_55HDD_2022-12-18_final.stac-item
2022-12-18 09:46:06	ga_s2am_ard_3-2-1_55HGC_2022-12-18_final.stac-item
2022-12-18 09:46:12	ga_s2am_ard_3-2-1_55HFC_2022-12-18_final.stac-item
2022-12-18 09:46:16	ga_s2am_ard_3-2-1_55HEC_2022-12-18_final.stac-item
2022-12-18 09:46:16	ga_s2am_ard_3-2-1_55HGB_2022-12-18_final.stac-item
2022-12-18 09:46:19	ga_s2am_ard_3-2-1_55HDC_2022-12-18_final.stac-item
2022-12-18 09:46:27	ga_s2am_ard_3-2-1_55HCC_2022-12-18_final.stac-item
2022-12-18 09:46:30	ga_s2am_ard_3-2-1_55HEB_2022-12-18_final.stac-item
2022-12-18 09:46:34	ga_s2am_ard_3-2-1_55HDB_2022-12-18_final.stac-item
2022-12-18 09:46:38	ga_s2am_ard_3-2-1_55HCB_2022-12-18_final.stac-item
2022-12-18 09:46:41	ga_s2am_ard_3-2-1_55HFA_2022-12-18_final.stac-item
2022-12-18 09:46:51	ga_s2am_ard_3-2-1_55HCA_2022-12-18_final.stac-item
2022-12-18 09:47:18	ga_s2am_ard_3-2-1_55HFT_2022-12-18_final.stac-item
2022-12-18 09:47:25	ga_s2am_ard_3-2-1_55HDT_2022-12-18_final.stac-item
2022-12-18 09:47:26	ga_s2am_ard_3-2-1_55HCT_2022-12-18_final.stac-item
2022-12-18 09:47:26	ga_s2am_ard_3-2-1_55HCU_2022-12-18_final.stac-item
2022-12-18 09:47:32	ga_s2am_ard_3-2-1_55HDT_2022-12-18_final.stac-item
2022-12-18 09:47:39	ga_s2am_ard_3-2-1_55HBT_2022-12-18_final.stac-item
2022-12-18 09:47:43	ga_s2am_ard_3-2-1_54HYC_2022-12-18_final.stac-item
2022-12-18 09:48:48	ga_s2am_ard_3-2-1_55GCN_2022-12-18_final.stac-item
2022-12-18 09:48:57	ga_s2am_ard_3-2-1_55GDM_2022-12-18_final.stac-item
2022-12-18 09:49:01	ga_s2am_ard_3-2-1_54GYS_2022-12-18_nrt.stac-item
2022-12-18 11:20:30	ga_s2am_ard_3-2-1_52LEN_2022-12-18_nrt.stac-item
2022-12-18 11:20:33	ga_s2am_ard_3-2-1_52LDN_2022-12-18_nrt.stac-item
2022-12-18 11:20:36	ga_s2am_ard_3-2-1_52LCN_2022-12-18_nrt.stac-item
2022-12-18 11:20:39	ga_s2am_ard_3-2-1_52LBN_2022-12-18_nrt.stac-item
2022-12-18 11:20:51	ga_s2am_ard_3-2-1_52LCM_2022-12-18_nrt.stac-item
2022-12-18 11:20:54	ga_s2am_ard_3-2-1_52LBM_2022-12-18_nrt.stac-item
2022-12-18 11:20:56	ga_s2am_ard_3-2-1_51LZG_2022-12-18_nrt.stac-item
2022-12-18 11:20:57	ga_s2am_ard_3-2-1_52LEL_2022-12-18_final.stac-item
2022-12-18 11:21:02	ga_s2am_ard_3-2-1_52LDL_2022-12-18_nrt.stac-item
2022-12-18 11:22:07	ga_s2am_ard_3-2-1_52KBG_2022-12-18_final.stac-item
2022-12-18 11:22:08	ga_s2am_ard_3-2-1_51KZB_2022-12-18_final.stac-item
2022-12-18 11:22:11	ga_s2am_ard_3-2-1_51KYB_2022-12-18_final.stac-item
2022-12-18 11:22:36	ga_s2am_ard_3-2-1_52KBE_2022-12-18_final.stac-item
2022-12-18 11:22:40	ga_s2am_ard_3-2-1_51KYV_2022-12-18_final.stac-item
2022-12-18 11:23:26	ga_s2am_ard_3-2-1_52KCA_2022-12-18_final.stac-item
2022-12-18 11:24:03	ga_s2am_ard_3-2-1_52KBU_2022-12-18_final.stac-item
2022-12-18 11:24:07	ga_s2am_ard_3-2-1_51KYP_2022-12-18_final.stac-item
2022-12-18 11:24:18	ga_s2am_ard_3-2-1_52JBT_2022-12-18_final.stac-item
2022-12-18 11:24:22	ga_s2am_ard_3-2-1_51JYN_2022-12-18_final.stac-item
2022-12-18 11:24:36	ga_s2am_ard_3-2-1_51JYM_2022-12-18_final.stac-item
2022-12-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2022-12-18_final.stac-item
2022-12-18 11:24:58	ga_s2am_ard_3-2-1_51JWL_2022-12-18_final.stac-item
2022-12-18 11:25:02	ga_s2am_ard_3-2-1_51JVL_2022-12-18_final.stac-item
2022-12-18 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2022-12-18_final.stac-item
2022-12-18 11:25:41	ga_s2am_ard_3-2-1_51JWH_2022-12-18_final.stac-item
2022-12-18 11:25:45	ga_s2am_ard_3-2-1_51JVH_2022-12-18_final.stac-item
2022-12-18 11:25:52	ga_s2am_ard_3-2-1_51JXG_2022-12-18_final.stac-item
2022-12-18 11:26:10	ga_s2am_ard_3-2-1_51JWF_2022-12-18_final.stac-item
2022-12-18 11:26:14	ga_s2am_ard_3-2-1_51JVF_2022-12-18_final.stac-item
2022-12-18 11:26:25	ga_s2am_ard_3-2-1_51HWE_2022-12-18_final.stac-item
2022-12-18 11:26:28	ga_s2am_ard_3-2-1_51HVE_2022-12-18_final.stac-item
2022-12-18 11:26:31	ga_s2am_ard_3-2-1_51HUE_2022-12-18_final.stac-item
2022-12-18 11:26:35	ga_s2am_ard_3-2-1_51HXD_2022-12-18_final.stac-item
2022-12-18 11:26:39	ga_s2am_ard_3-2-1_51HWD_2022-12-18_final.stac-item
2022-12-18 11:26:43	ga_s2am_ard_3-2-1_51HVD_2022-12-18_final.stac-item
2022-12-18 11:26:47	ga_s2am_ard_3-2-1_51HXC_2022-12-18_final.stac-item
2022-12-18 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-12-18_final.stac-item
2022-12-18 11:27:06	ga_s2am_ard_3-2-1_51HTC_2022-12-18_final.stac-item
2022-12-18 11:27:07	ga_s2am_ard_3-2-1_51HWB_2022-12-18_final.stac-item
2022-12-18 11:27:09	ga_s2am_ard_3-2-1_51HVB_2022-12-18_final.stac-item
2022-12-18 11:27:13	ga_s2am_ard_3-2-1_51HTB_2022-12-18_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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