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
2023-10-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-10-26_final.stac-item
2023-10-26 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-10-26_final.stac-item
2023-10-26 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-10-26_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final.stac-item
2023-10-26 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-10-26_final.stac-item
2023-10-26 12:06:10	ga_s2am_ard_3-2-1_50JKM_2023-10-26_final.stac-item
2023-10-26 12:06:13	ga_s2am_ard_3-2-1_49JGG_2023-10-26_nrt.stac-item
2023-10-26 12:06:14	ga_s2am_ard_3-2-1_50JLL_2023-10-26_final.stac-item
2023-10-26 12:06:23	ga_s2am_ard_3-2-1_50JKL_2023-10-26_final.stac-item
2023-10-26 12:06:25	ga_s2am_ard_3-2-1_49JGF_2023-10-26_nrt.stac-item
2023-10-26 12:06:26	ga_s2am_ard_3-2-1_49JFF_2023-10-26_nrt.stac-item
2023-10-26 12:06:29	ga_s2am_ard_3-2-1_50HKK_2023-10-26_nrt.stac-item
2023-10-27 09:49:49	ga_s2am_ard_3-2-1_56LMN_2023-10-27_nrt.stac-item
2023-10-27 09:49:54	ga_s2am_ard_3-2-1_56LLN_2023-10-27_nrt.stac-item
2023-10-27 09:49:58	ga_s2am_ard_3-2-1_56LKN_2023-10-27_nrt.stac-item
2023-10-27 09:51:04	ga_s2am_ard_3-2-1_56LLH_2023-10-27_nrt.stac-item
2023-10-27 09:51:10	ga_s2am_ard_3-2-1_56LKH_2023-10-27_final.stac-item
2023-10-27 09:51:12	ga_s2am_ard_3-2-1_55LHC_2023-10-27_final.stac-item
2023-10-27 09:51:15	ga_s2am_ard_3-2-1_55LGC_2023-10-27_final.stac-item
2023-10-27 09:52:06	ga_s2am_ard_3-2-1_55KEV_2023-10-27_final.stac-item
2023-10-27 09:52:08	ga_s2am_ard_3-2-1_56KKD_2023-10-27_nrt.stac-item
2023-10-27 09:52:10	ga_s2am_ard_3-2-1_55KHU_2023-10-27_final.stac-item
2023-10-27 09:52:13	ga_s2am_ard_3-2-1_55KGU_2023-10-27_final.stac-item
2023-10-27 09:52:19	ga_s2am_ard_3-2-1_56KKC_2023-10-27_final.stac-item
2023-10-27 09:52:23	ga_s2am_ard_3-2-1_55KHT_2023-10-27_final.stac-item
2023-10-27 09:52:35	ga_s2am_ard_3-2-1_55KET_2023-10-27_final.stac-item
2023-10-27 09:52:35	ga_s2am_ard_3-2-1_55KHS_2023-10-27_final.stac-item
2023-10-27 09:53:04	ga_s2am_ard_3-2-1_55KER_2023-10-27_final.stac-item
2023-10-27 09:53:07	ga_s2am_ard_3-2-1_55KDR_2023-10-27_final.stac-item
2023-10-27 09:53:25	ga_s2am_ard_3-2-1_55KGP_2023-10-27_final.stac-item
2023-10-27 09:53:33	ga_s2am_ard_3-2-1_55KEP_2023-10-27_final.stac-item
2023-10-27 09:53:36	ga_s2am_ard_3-2-1_55KDP_2023-10-27_final.stac-item
2023-10-27 09:53:44	ga_s2am_ard_3-2-1_55JFN_2023-10-27_final.stac-item
2023-10-27 09:53:51	ga_s2am_ard_3-2-1_55JDN_2023-10-27_final.stac-item
2023-10-27 09:53:58	ga_s2am_ard_3-2-1_55JCN_2023-10-27_final.stac-item
2023-10-27 09:53:58	ga_s2am_ard_3-2-1_55JFM_2023-10-27_final.stac-item
2023-10-27 09:54:16	ga_s2am_ard_3-2-1_55JEL_2023-10-27_final.stac-item
2023-10-27 09:54:20	ga_s2am_ard_3-2-1_55JDL_2023-10-27_final.stac-item
2023-10-27 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2023-10-27_final.stac-item
2023-10-27 09:55:14	ga_s2am_ard_3-2-1_55JEG_2023-10-27_final.stac-item
2023-10-27 09:55:18	ga_s2am_ard_3-2-1_55JDG_2023-10-27_final.stac-item
2023-10-27 09:55:22	ga_s2am_ard_3-2-1_55JBG_2023-10-27_final.stac-item
2023-10-27 09:55:26	ga_s2am_ard_3-2-1_55JDF_2023-10-27_final.stac-item
2023-10-27 09:55:26	ga_s2am_ard_3-2-1_55JDG_2023-10-27_final.stac-item
2023-10-27 09:55:27	ga_s2am_ard_3-2-1_55JCG_2023-10-27_final.stac-item
2023-10-27 09:55:31	ga_s2am_ard_3-2-1_55JEF_2023-10-27_final.stac-item
2023-10-27 09:55:33	ga_s2am_ard_3-2-1_55JDF_2023-10-27_final.stac-item
2023-10-27 09:55:39	ga_s2am_ard_3-2-1_55JBF_2023-10-27_final.stac-item
2023-10-27 09:55:54	ga_s2am_ard_3-2-1_55HBE_2023-10-27_final.stac-item
2023-10-27 09:55:57	ga_s2am_ard_3-2-1_54HYK_2023-10-27_final.stac-item
2023-10-27 09:56:23	ga_s2am_ard_3-2-1_55HBC_2023-10-27_final.stac-item
2023-10-27 09:56:25	ga_s2am_ard_3-2-1_54HYH_2023-10-27_final.stac-item
2023-10-27 09:56:45	ga_s2am_ard_3-2-1_55HDA_2023-10-27_final.stac-item
2023-10-27 09:57:06	ga_s2am_ard_3-2-1_55HBV_2023-10-27_final.stac-item
2023-10-27 09:57:08	ga_s2am_ard_3-2-1_54HYE_2023-10-27_final.stac-item
2023-10-27 09:57:11	ga_s2am_ard_3-2-1_54HXE_2023-10-27_final.stac-item
2023-10-27 09:57:47	ga_s2am_ard_3-2-1_55HCS_2023-10-27_final.stac-item
2023-10-27 09:57:50	ga_s2am_ard_3-2-1_55HBS_2023-10-27_final.stac-item
2023-10-27 09:57:51	ga_s2am_ard_3-2-1_54HYB_2023-10-27_final.stac-item
2023-10-27 09:57:55	ga_s2am_ard_3-2-1_54HXB_2023-10-27_final.stac-item
2023-10-27 09:57:58	ga_s2am_ard_3-2-1_54HWB_2023-10-27_nrt.stac-item
2023-10-27 11:30:35	ga_s2am_ard_3-2-1_52LBN_2023-10-27_nrt.stac-item
2023-10-27 11:30:37	ga_s2am_ard_3-2-1_51LZH_2023-10-27_nrt.stac-item
2023-10-27 11:30:41	ga_s2am_ard_3-2-1_51LYH_2023-10-27_nrt.stac-item
2023-10-27 11:30:44	ga_s2am_ard_3-2-1_51LXH_2023-10-27_nrt.stac-item
2023-10-27 11:31:05	ga_s2am_ard_3-2-1_52LBL_2023-10-27_final.stac-item
2023-10-27 11:31:06	ga_s2am_ard_3-2-1_51LZF_2023-10-27_final.stac-item
2023-10-27 11:31:10	ga_s2am_ard_3-2-1_51LYF_2023-10-27_final.stac-item
2023-10-27 11:31:13	ga_s2am_ard_3-2-1_51LXF_2023-10-27_nrt.stac-item
2023-10-27 11:31:17	ga_s2am_ard_3-2-1_51LWF_2023-10-27_final.stac-item
2023-10-27 11:31:24	ga_s2am_ard_3-2-1_51LYE_2023-10-27_final.stac-item
2023-10-27 11:31:45	ga_s2am_ard_3-2-1_51LWD_2023-10-27_final.stac-item
2023-10-27 11:31:48	ga_s2am_ard_3-2-1_51LZC_2023-10-27_final.stac-item
2023-10-27 11:31:53	ga_s2am_ard_3-2-1_51LYC_2023-10-27_final.stac-item
2023-10-27 11:32:29	ga_s2am_ard_3-2-1_51KWA_2023-10-27_final.stac-item
2023-10-27 11:32:50	ga_s2am_ard_3-2-1_51KYU_2023-10-27_final.stac-item
2023-10-27 11:33:13	ga_s2am_ard_3-2-1_51KWT_2023-10-27_final.stac-item
2023-10-27 11:33:16	ga_s2am_ard_3-2-1_51KVT_2023-10-27_final.stac-item
2023-10-27 11:33:22	ga_s2am_ard_3-2-1_51KUT_2023-10-27_final.stac-item
2023-10-27 11:34:10	ga_s2am_ard_3-2-1_51KWP_2023-10-27_final.stac-item
2023-10-27 11:34:14	ga_s2am_ard_3-2-1_51KVP_2023-10-27_final.stac-item
2023-10-27 11:34:25	ga_s2am_ard_3-2-1_51JWN_2023-10-27_final.stac-item
2023-10-27 11:34:29	ga_s2am_ard_3-2-1_51JVN_2023-10-27_final.stac-item
2023-10-27 11:34:32	ga_s2am_ard_3-2-1_51JUN_2023-10-27_final.stac-item
2023-10-27 11:34:36	ga_s2am_ard_3-2-1_51JTN_2023-10-27_final.stac-item
2023-10-27 11:34:46	ga_s2am_ard_3-2-1_51JUM_2023-10-27_final.stac-item
2023-10-27 11:34:49	ga_s2am_ard_3-2-1_50JRS_2023-10-27_final.stac-item
2023-10-27 11:34:54	ga_s2am_ard_3-2-1_51JWL_2023-10-27_final.stac-item
2023-10-27 11:34:58	ga_s2am_ard_3-2-1_51JVL_2023-10-27_final.stac-item
2023-10-27 11:35:19	ga_s2am_ard_3-2-1_51JTK_2023-10-27_final.stac-item
2023-10-27 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2023-10-27_final.stac-item
2023-10-27 11:35:26	ga_s2am_ard_3-2-1_51JVJ_2023-10-27_final.stac-item
2023-10-27 11:36:02	ga_s2am_ard_3-2-1_51JTG_2023-10-27_final.stac-item
2023-10-27 11:36:05	ga_s2am_ard_3-2-1_50JQM_2023-10-27_final.stac-item
2023-10-27 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-10-27_final.stac-item
2023-10-27 11:36:17	ga_s2am_ard_3-2-1_51JTF_2023-10-27_final.stac-item
2023-10-27 11:36:26	ga_s2am_ard_3-2-1_50JPL_2023-10-27_final.stac-item
2023-10-27 11:36:32	ga_s2am_ard_3-2-1_51HTE_2023-10-27_final.stac-item
2023-10-27 11:36:34	ga_s2am_ard_3-2-1_50HQK_2023-10-27_final.stac-item
2023-10-27 11:37:01	ga_s2am_ard_3-2-1_51HTC_2023-10-27_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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