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
2023-11-15 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-11-15_final.stac-item
2023-11-15 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-11-15_final.stac-item
2023-11-15 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-11-15_nrt.stac-item
2023-11-15 12:05:31	ga_s2am_ard_3-2-1_49JFK_2023-11-15_nrt.stac-item
2023-11-15 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-11-15_final.stac-item
2023-11-15 12:05:57	ga_s2am_ard_3-2-1_49JGH_2023-11-15_final.stac-item
2023-11-16 09:49:47	ga_s2am_ard_3-2-1_56LMN_2023-11-16_nrt.stac-item
2023-11-16 09:49:53	ga_s2am_ard_3-2-1_56LLN_2023-11-16_nrt.stac-item
2023-11-16 09:49:57	ga_s2am_ard_3-2-1_56LMM_2023-11-16_nrt.stac-item
2023-11-16 09:50:01	ga_s2am_ard_3-2-1_56LLM_2023-11-16_nrt.stac-item
2023-11-16 09:50:03	ga_s2am_ard_3-2-1_55LHG_2023-11-16_nrt.stac-item
2023-11-16 09:51:02	ga_s2am_ard_3-2-1_56LLH_2023-11-16_nrt.stac-item
2023-11-16 09:51:04	ga_s2am_ard_3-2-1_55LFD_2023-11-16_nrt.stac-item
2023-11-16 09:51:09	ga_s2am_ard_3-2-1_56LKH_2023-11-16_final.stac-item
2023-11-16 09:51:10	ga_s2am_ard_3-2-1_55LHC_2023-11-16_final.stac-item
2023-11-16 09:51:14	ga_s2am_ard_3-2-1_55LGC_2023-11-16_final.stac-item
2023-11-16 09:51:17	ga_s2am_ard_3-2-1_55LFC_2023-11-16_final.stac-item
2023-11-16 09:51:32	ga_s2am_ard_3-2-1_55KFB_2023-11-16_final.stac-item
2023-11-16 09:51:46	ga_s2am_ard_3-2-1_55KFA_2023-11-16_final.stac-item
2023-11-16 09:51:53	ga_s2am_ard_3-2-1_56KKE_2023-11-16_nrt.stac-item
2023-11-16 09:51:57	ga_s2am_ard_3-2-1_55KGV_2023-11-16_nrt.stac-item
2023-11-16 09:52:01	ga_s2am_ard_3-2-1_55KFV_2023-11-16_final.stac-item
2023-11-16 09:52:18	ga_s2am_ard_3-2-1_56KKC_2023-11-16_final.stac-item
2023-11-16 09:52:26	ga_s2am_ard_3-2-1_55KGT_2023-11-16_final.stac-item
2023-11-16 09:53:02	ga_s2am_ard_3-2-1_55KER_2023-11-16_final.stac-item
2023-11-16 09:53:06	ga_s2am_ard_3-2-1_55KDR_2023-11-16_final.stac-item
2023-11-16 09:53:10	ga_s2am_ard_3-2-1_55KGQ_2023-11-16_final.stac-item
2023-11-16 09:53:13	ga_s2am_ard_3-2-1_55KFQ_2023-11-16_final.stac-item
2023-11-16 09:54:15	ga_s2am_ard_3-2-1_55JEL_2023-11-16_final.stac-item
2023-11-16 09:54:18	ga_s2am_ard_3-2-1_55JDL_2023-11-16_final.stac-item
2023-11-16 09:54:26	ga_s2am_ard_3-2-1_55JFK_2023-11-16_final.stac-item
2023-11-16 09:54:36	ga_s2am_ard_3-2-1_55JCK_2023-11-16_final.stac-item
2023-11-16 09:54:51	ga_s2am_ard_3-2-1_55JCJ_2023-11-16_final.stac-item
2023-11-16 09:54:58	ga_s2am_ard_3-2-1_55JEH_2023-11-16_final.stac-item
2023-11-16 09:55:02	ga_s2am_ard_3-2-1_55JDH_2023-11-16_final.stac-item
2023-11-16 09:55:13	ga_s2am_ard_3-2-1_55JEG_2023-11-16_final.stac-item
2023-11-16 09:55:16	ga_s2am_ard_3-2-1_55JDG_2023-11-16_final.stac-item
2023-11-16 09:55:20	ga_s2am_ard_3-2-1_55JCG_2023-11-16_final.stac-item
2023-11-16 09:55:23	ga_s2am_ard_3-2-1_55JBG_2023-11-16_final.stac-item
2023-11-16 09:55:34	ga_s2am_ard_3-2-1_55JCF_2023-11-16_final.stac-item
2023-11-16 09:55:41	ga_s2am_ard_3-2-1_55HEE_2023-11-16_final.stac-item
2023-11-16 09:55:45	ga_s2am_ard_3-2-1_55HDE_2023-11-16_final.stac-item
2023-11-16 09:55:49	ga_s2am_ard_3-2-1_55HCE_2023-11-16_final.stac-item
2023-11-16 09:55:52	ga_s2am_ard_3-2-1_55HBE_2023-11-16_final.stac-item
2023-11-16 09:55:55	ga_s2am_ard_3-2-1_54HYK_2023-11-16_final.stac-item
2023-11-16 09:56:21	ga_s2am_ard_3-2-1_55HBC_2023-11-16_final.stac-item
2023-11-16 09:56:23	ga_s2am_ard_3-2-1_54HYH_2023-11-16_final.stac-item
2023-11-16 09:56:36	ga_s2am_ard_3-2-1_55HBB_2023-11-16_final.stac-item
2023-11-16 09:56:47	ga_s2am_ard_3-2-1_55HCA_2023-11-16_final.stac-item
2023-11-16 09:56:50	ga_s2am_ard_3-2-1_55HBA_2023-11-16_final.stac-item
2023-11-16 09:56:52	ga_s2am_ard_3-2-1_54HYF_2023-11-16_final.stac-item
2023-11-16 09:56:56	ga_s2am_ard_3-2-1_54HXF_2023-11-16_final.stac-item
2023-11-16 09:57:59	ga_s2am_ard_3-2-1_55GCR_2023-11-16_final.stac-item
2023-11-16 09:58:03	ga_s2am_ard_3-2-1_55GBR_2023-11-16_final.stac-item
2023-11-16 09:58:04	ga_s2am_ard_3-2-1_54GYA_2023-11-16_final.stac-item
2023-11-16 09:58:08	ga_s2am_ard_3-2-1_54GXA_2023-11-16_nrt.stac-item
2023-11-16 09:58:12	ga_s2am_ard_3-2-1_54GWA_2023-11-16_nrt.stac-item
2023-11-16 11:30:42	ga_s2am_ard_3-2-1_51LXH_2023-11-16_nrt.stac-item
2023-11-16 11:31:03	ga_s2am_ard_3-2-1_52LBL_2023-11-16_final.stac-item
2023-11-16 11:31:04	ga_s2am_ard_3-2-1_51LZF_2023-11-16_final.stac-item
2023-11-16 11:31:08	ga_s2am_ard_3-2-1_51LYF_2023-11-16_final.stac-item
2023-11-16 11:31:11	ga_s2am_ard_3-2-1_51LXF_2023-11-16_nrt.stac-item
2023-11-16 11:31:16	ga_s2am_ard_3-2-1_52LBK_2023-11-16_final.stac-item
2023-11-16 11:31:19	ga_s2am_ard_3-2-1_51LZE_2023-11-16_final.stac-item
2023-11-16 11:31:23	ga_s2am_ard_3-2-1_51LYE_2023-11-16_final.stac-item
2023-11-16 11:31:47	ga_s2am_ard_3-2-1_51LZC_2023-11-16_final.stac-item
2023-11-16 11:31:51	ga_s2am_ard_3-2-1_51LYC_2023-11-16_final.stac-item
2023-11-16 11:31:55	ga_s2am_ard_3-2-1_51LXC_2023-11-16_final.stac-item
2023-11-16 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-11-16_final.stac-item
2023-11-16 11:32:35	ga_s2am_ard_3-2-1_51KYV_2023-11-16_final.stac-item
2023-11-16 11:33:46	ga_s2am_ard_3-2-1_51KUR_2023-11-16_final.stac-item
2023-11-16 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-11-16_final.stac-item
2023-11-16 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-11-16_final.stac-item
2023-11-16 11:34:04	ga_s2am_ard_3-2-1_51KXP_2023-11-16_final.stac-item
2023-11-16 11:34:14	ga_s2am_ard_3-2-1_51JXN_2023-11-16_final.stac-item
2023-11-16 11:34:16	ga_s2am_ard_3-2-1_51JWN_2023-11-16_final.stac-item
2023-11-16 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-11-16_final.stac-item
2023-11-16 11:34:56	ga_s2am_ard_3-2-1_51JVL_2023-11-16_final.stac-item
2023-11-16 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-11-16_final.stac-item
2023-11-16 11:35:17	ga_s2am_ard_3-2-1_51JTK_2023-11-16_final.stac-item
2023-11-16 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2023-11-16_final.stac-item
2023-11-16 11:35:29	ga_s2am_ard_3-2-1_51JUJ_2023-11-16_final.stac-item
2023-11-16 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-11-16_final.stac-item
2023-11-16 11:35:49	ga_s2am_ard_3-2-1_50JQN_2023-11-16_final.stac-item
2023-11-16 11:35:54	ga_s2am_ard_3-2-1_51JVG_2023-11-16_final.stac-item
2023-11-16 11:35:58	ga_s2am_ard_3-2-1_51JUG_2023-11-16_final.stac-item
2023-11-16 11:36:01	ga_s2am_ard_3-2-1_51JTG_2023-11-16_final.stac-item
2023-11-16 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-11-16_final.stac-item
2023-11-16 11:36:22	ga_s2am_ard_3-2-1_51HVE_2023-11-16_final.stac-item
2023-11-16 11:36:27	ga_s2am_ard_3-2-1_51HUE_2023-11-16_final.stac-item
2023-11-16 11:36:30	ga_s2am_ard_3-2-1_51HTE_2023-11-16_final.stac-item
2023-11-16 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-11-16_final.stac-item
2023-11-16 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-11-16_final.stac-item
2023-11-16 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-11-16_final.stac-item
2023-11-16 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-11-16_final.stac-item
2023-11-16 11:37:14	ga_s2am_ard_3-2-1_51HTB_2023-11-16_final.stac-item
2023-11-16 11:37:24	ga_s2am_ard_3-2-1_51HUA_2023-11-16_nrt.stac-item
2023-11-16 11:37:26	ga_s2am_ard_3-2-1_51HTA_2023-11-16_nrt.stac-item
2023-11-16 11:37:27	ga_s2am_ard_3-2-1_50HQF_2023-11-16_nrt.stac-item
2023-11-16 11:37:29	ga_s2am_ard_3-2-1_50HPF_2023-11-16_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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