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
2023-05-09 12:05:51	ga_s2am_ard_3-2-1_50JLN_2023-05-09_final.stac-item
2023-05-09 12:06:02	ga_s2am_ard_3-2-1_49JFH_2023-05-09_nrt.stac-item
2023-05-09 12:06:23	ga_s2am_ard_3-2-1_49JGF_2023-05-09_nrt.stac-item
2023-05-10 09:49:58	ga_s2am_ard_3-2-1_55LHH_2023-05-10_nrt.stac-item
2023-05-10 09:49:58	ga_s2am_ard_3-2-1_56LMM_2023-05-10_nrt.stac-item
2023-05-10 09:49:59	ga_s2am_ard_3-2-1_55LGH_2023-05-10_nrt.stac-item
2023-05-10 09:50:02	ga_s2am_ard_3-2-1_56LLM_2023-05-10_nrt.stac-item
2023-05-10 09:50:04	ga_s2am_ard_3-2-1_56LKM_2023-05-10_nrt.stac-item
2023-05-10 09:50:04	ga_s2am_ard_3-2-1_55LHG_2023-05-10_nrt.stac-item
2023-05-10 09:51:03	ga_s2am_ard_3-2-1_56LLH_2023-05-10_nrt.stac-item
2023-05-10 09:51:11	ga_s2am_ard_3-2-1_55LHC_2023-05-10_final.stac-item
2023-05-10 09:51:39	ga_s2am_ard_3-2-1_56KKF_2023-05-10_final.stac-item
2023-05-10 09:51:40	ga_s2am_ard_3-2-1_55KHA_2023-05-10_final.stac-item
2023-05-10 09:51:44	ga_s2am_ard_3-2-1_55KGA_2023-05-10_final.stac-item
2023-05-10 09:51:47	ga_s2am_ard_3-2-1_55KFA_2023-05-10_final.stac-item
2023-05-10 09:51:52	ga_s2am_ard_3-2-1_55KEA_2023-05-10_final.stac-item
2023-05-10 09:51:54	ga_s2am_ard_3-2-1_56KKE_2023-05-10_nrt.stac-item
2023-05-10 09:51:54	ga_s2am_ard_3-2-1_55KHV_2023-05-10_nrt.stac-item
2023-05-10 09:51:58	ga_s2am_ard_3-2-1_55KGV_2023-05-10_nrt.stac-item
2023-05-10 09:52:02	ga_s2am_ard_3-2-1_55KFV_2023-05-10_final.stac-item
2023-05-10 09:52:34	ga_s2am_ard_3-2-1_55KHS_2023-05-10_final.stac-item
2023-05-10 09:52:45	ga_s2am_ard_3-2-1_55KFS_2023-05-10_final.stac-item
2023-05-10 09:52:49	ga_s2am_ard_3-2-1_55KES_2023-05-10_final.stac-item
2023-05-10 09:52:55	ga_s2am_ard_3-2-1_55KDS_2023-05-10_final.stac-item
2023-05-10 09:52:56	ga_s2am_ard_3-2-1_55KGR_2023-05-10_final.stac-item
2023-05-10 09:53:00	ga_s2am_ard_3-2-1_55KFR_2023-05-10_final.stac-item
2023-05-10 09:53:18	ga_s2am_ard_3-2-1_55KEQ_2023-05-10_final.stac-item
2023-05-10 09:53:21	ga_s2am_ard_3-2-1_55KDQ_2023-05-10_final.stac-item
2023-05-10 09:53:47	ga_s2am_ard_3-2-1_55JEN_2023-05-10_final.stac-item
2023-05-10 09:53:50	ga_s2am_ard_3-2-1_55JDN_2023-05-10_final.stac-item
2023-05-10 09:54:01	ga_s2am_ard_3-2-1_55JEM_2023-05-10_final.stac-item
2023-05-10 09:54:05	ga_s2am_ard_3-2-1_55JDM_2023-05-10_final.stac-item
2023-05-10 09:54:08	ga_s2am_ard_3-2-1_55JCM_2023-05-10_final.stac-item
2023-05-10 09:54:16	ga_s2am_ard_3-2-1_55JEL_2023-05-10_final.stac-item
2023-05-10 09:54:19	ga_s2am_ard_3-2-1_55JDL_2023-05-10_final.stac-item
2023-05-10 09:54:34	ga_s2am_ard_3-2-1_55JDK_2023-05-10_final.stac-item
2023-05-10 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2023-05-10_final.stac-item
2023-05-10 09:54:48	ga_s2am_ard_3-2-1_55JDJ_2023-05-10_final.stac-item
2023-05-10 09:54:50	ga_s2am_ard_3-2-1_55JFH_2023-05-10_final.stac-item
2023-05-10 09:55:06	ga_s2am_ard_3-2-1_55JCH_2023-05-10_final.stac-item
2023-05-10 09:55:10	ga_s2am_ard_3-2-1_55JBH_2023-05-10_final.stac-item
2023-05-10 09:55:28	ga_s2am_ard_3-2-1_55JEF_2023-05-10_final.stac-item
2023-05-10 09:55:32	ga_s2am_ard_3-2-1_55JDF_2023-05-10_final.stac-item
2023-05-10 09:56:08	ga_s2am_ard_3-2-1_55HBD_2023-05-10_final.stac-item
2023-05-10 09:56:09	ga_s2am_ard_3-2-1_54HYJ_2023-05-10_final.stac-item
2023-05-10 09:56:22	ga_s2am_ard_3-2-1_55HBC_2023-05-10_final.stac-item
2023-05-10 09:56:24	ga_s2am_ard_3-2-1_54HYH_2023-05-10_final.stac-item
2023-05-10 09:56:34	ga_s2am_ard_3-2-1_55HCB_2023-05-10_final.stac-item
2023-05-10 09:56:44	ga_s2am_ard_3-2-1_55HDA_2023-05-10_final.stac-item
2023-05-10 09:57:36	ga_s2am_ard_3-2-1_54HYC_2023-05-10_final.stac-item
2023-05-10 09:57:45	ga_s2am_ard_3-2-1_54HWC_2023-05-10_final.stac-item
2023-05-10 09:57:46	ga_s2am_ard_3-2-1_55HCS_2023-05-10_final.stac-item
2023-05-10 09:57:50	ga_s2am_ard_3-2-1_55HBS_2023-05-10_final.stac-item
2023-05-10 09:57:50	ga_s2am_ard_3-2-1_54HYB_2023-05-10_final.stac-item
2023-05-10 09:57:54	ga_s2am_ard_3-2-1_54HXB_2023-05-10_final.stac-item
2023-05-10 09:57:58	ga_s2am_ard_3-2-1_54HWB_2023-05-10_nrt.stac-item
2023-05-10 11:30:37	ga_s2am_ard_3-2-1_51LZH_2023-05-10_nrt.stac-item
2023-05-10 11:30:50	ga_s2am_ard_3-2-1_52LBM_2023-05-10_nrt.stac-item
2023-05-10 11:30:51	ga_s2am_ard_3-2-1_51LZG_2023-05-10_nrt.stac-item
2023-05-10 11:30:55	ga_s2am_ard_3-2-1_51LYG_2023-05-10_nrt.stac-item
2023-05-10 11:30:58	ga_s2am_ard_3-2-1_51LXG_2023-05-10_nrt.stac-item
2023-05-10 11:31:17	ga_s2am_ard_3-2-1_52LBK_2023-05-10_final.stac-item
2023-05-10 11:31:28	ga_s2am_ard_3-2-1_52LBJ_2023-05-10_final.stac-item
2023-05-10 11:31:35	ga_s2am_ard_3-2-1_51LZD_2023-05-10_final.stac-item
2023-05-10 11:31:38	ga_s2am_ard_3-2-1_51LYD_2023-05-10_final.stac-item
2023-05-10 11:31:48	ga_s2am_ard_3-2-1_51LZC_2023-05-10_final.stac-item
2023-05-10 11:31:52	ga_s2am_ard_3-2-1_51LYC_2023-05-10_final.stac-item
2023-05-10 11:31:59	ga_s2am_ard_3-2-1_51LWC_2023-05-10_final.stac-item
2023-05-10 11:32:21	ga_s2am_ard_3-2-1_51KYA_2023-05-10_final.stac-item
2023-05-10 11:32:25	ga_s2am_ard_3-2-1_51KXA_2023-05-10_final.stac-item
2023-05-10 11:32:28	ga_s2am_ard_3-2-1_51KWA_2023-05-10_final.stac-item
2023-05-10 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-05-10_final.stac-item
2023-05-10 11:32:36	ga_s2am_ard_3-2-1_51KYV_2023-05-10_final.stac-item
2023-05-10 11:32:40	ga_s2am_ard_3-2-1_51KXV_2023-05-10_final.stac-item
2023-05-10 11:32:43	ga_s2am_ard_3-2-1_51KWV_2023-05-10_final.stac-item
2023-05-10 11:32:46	ga_s2am_ard_3-2-1_51KVV_2023-05-10_final.stac-item
2023-05-10 11:33:23	ga_s2am_ard_3-2-1_51KXS_2023-05-10_final.stac-item
2023-05-10 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-05-10_final.stac-item
2023-05-10 11:33:30	ga_s2am_ard_3-2-1_51KVS_2023-05-10_final.stac-item
2023-05-10 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-05-10_final.stac-item
2023-05-10 11:33:38	ga_s2am_ard_3-2-1_51KXR_2023-05-10_final.stac-item
2023-05-10 11:33:47	ga_s2am_ard_3-2-1_51KUR_2023-05-10_final.stac-item
2023-05-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-05-10_final.stac-item
2023-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2023-05-10_final.stac-item
2023-05-10 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2023-05-10_final.stac-item
2023-05-10 11:34:24	ga_s2am_ard_3-2-1_51JWN_2023-05-10_final.stac-item
2023-05-10 11:34:49	ga_s2am_ard_3-2-1_51JTM_2023-05-10_final.stac-item
2023-05-10 11:34:54	ga_s2am_ard_3-2-1_51JWL_2023-05-10_final.stac-item
2023-05-10 11:34:57	ga_s2am_ard_3-2-1_51JVL_2023-05-10_final.stac-item
2023-05-10 11:35:41	ga_s2am_ard_3-2-1_51JVH_2023-05-10_final.stac-item
2023-05-10 11:35:44	ga_s2am_ard_3-2-1_51JUH_2023-05-10_final.stac-item
2023-05-10 11:35:50	ga_s2am_ard_3-2-1_50JQN_2023-05-10_final.stac-item
2023-05-10 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-05-10_final.stac-item
2023-05-10 11:36:33	ga_s2am_ard_3-2-1_51HVD_2023-05-10_final.stac-item
2023-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2023-05-10_final.stac-item
2023-05-10 11:36:46	ga_s2am_ard_3-2-1_51HTD_2023-05-10_final.stac-item
2023-05-10 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-05-10_final.stac-item
2023-05-10 11:37:00	ga_s2am_ard_3-2-1_51HTC_2023-05-10_final.stac-item
2023-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-05-10_final.stac-item
2023-05-10 11:37:12	ga_s2am_ard_3-2-1_51HUB_2023-05-10_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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