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
2023-02-28 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2023-02-28_final.stac-item
2023-02-28 12:05:27	ga_s2am_ard_3-2-1_49JGK_2023-02-28_final.stac-item
2023-02-28 12:05:30	ga_s2am_ard_3-2-1_49JFK_2023-02-28_nrt.stac-item
2023-02-28 12:05:56	ga_s2am_ard_3-2-1_49JGH_2023-02-28_final.stac-item
2023-02-28 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-02-28_final.stac-item
2023-02-28 12:06:07	ga_s2am_ard_3-2-1_50JKM_2023-02-28_final.stac-item
2023-02-28 12:06:10	ga_s2am_ard_3-2-1_49JGG_2023-02-28_nrt.stac-item
2023-02-28 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-02-28_final.stac-item
2023-03-01 09:53:18	ga_s2am_ard_3-2-1_55KGQ_2023-03-01_final.stac-item
2023-03-01 09:53:19	ga_s2am_ard_3-2-1_55KFQ_2023-03-01_final.stac-item
2023-03-01 09:53:20	ga_s2am_ard_3-2-1_55KEQ_2023-03-01_final.stac-item
2023-03-01 09:53:22	ga_s2am_ard_3-2-1_55KDQ_2023-03-01_final.stac-item
2023-03-01 09:53:27	ga_s2am_ard_3-2-1_55KFP_2023-03-01_final.stac-item
2023-03-01 09:53:59	ga_s2am_ard_3-2-1_55JEM_2023-03-01_final.stac-item
2023-03-01 09:54:03	ga_s2am_ard_3-2-1_55JDM_2023-03-01_final.stac-item
2023-03-01 09:54:14	ga_s2am_ard_3-2-1_55JEL_2023-03-01_final.stac-item
2023-03-01 09:54:17	ga_s2am_ard_3-2-1_55JDL_2023-03-01_final.stac-item
2023-03-01 09:54:20	ga_s2am_ard_3-2-1_55JCL_2023-03-01_final.stac-item
2023-03-01 09:54:25	ga_s2am_ard_3-2-1_55JFK_2023-03-01_final.stac-item
2023-03-01 09:54:28	ga_s2am_ard_3-2-1_55JEK_2023-03-01_final.stac-item
2023-03-01 09:54:32	ga_s2am_ard_3-2-1_55JDK_2023-03-01_final.stac-item
2023-03-01 09:54:35	ga_s2am_ard_3-2-1_55JCK_2023-03-01_final.stac-item
2023-03-01 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-03-01_final.stac-item
2023-03-01 09:54:46	ga_s2am_ard_3-2-1_55JDJ_2023-03-01_final.stac-item
2023-03-01 09:55:04	ga_s2am_ard_3-2-1_55JCH_2023-03-01_final.stac-item
2023-03-01 09:55:18	ga_s2am_ard_3-2-1_55JCG_2023-03-01_final.stac-item
2023-03-01 09:55:22	ga_s2am_ard_3-2-1_55JBG_2023-03-01_final.stac-item
2023-03-01 09:55:26	ga_s2am_ard_3-2-1_55JEF_2023-03-01_final.stac-item
2023-03-01 09:55:30	ga_s2am_ard_3-2-1_55JDF_2023-03-01_final.stac-item
2023-03-01 09:55:40	ga_s2am_ard_3-2-1_55HEE_2023-03-01_final.stac-item
2023-03-01 09:55:44	ga_s2am_ard_3-2-1_55HDE_2023-03-01_final.stac-item
2023-03-01 09:55:48	ga_s2am_ard_3-2-1_55HCE_2023-03-01_final.stac-item
2023-03-01 09:55:51	ga_s2am_ard_3-2-1_55HBE_2023-03-01_final.stac-item
2023-03-01 09:56:20	ga_s2am_ard_3-2-1_55HBC_2023-03-01_final.stac-item
2023-03-01 09:56:22	ga_s2am_ard_3-2-1_54HYH_2023-03-01_final.stac-item
2023-03-01 09:56:42	ga_s2am_ard_3-2-1_55HDA_2023-03-01_final.stac-item
2023-03-01 09:57:15	ga_s2am_ard_3-2-1_55HCU_2023-03-01_final.stac-item
2023-03-01 09:57:19	ga_s2am_ard_3-2-1_55HBU_2023-03-01_final.stac-item
2023-03-01 09:57:24	ga_s2am_ard_3-2-1_54HXD_2023-03-01_final.stac-item
2023-03-01 09:57:44	ga_s2am_ard_3-2-1_55HCS_2023-03-01_final.stac-item
2023-03-01 09:57:52	ga_s2am_ard_3-2-1_54HXB_2023-03-01_final.stac-item
2023-03-01 09:58:21	ga_s2am_ard_3-2-1_55GCP_2023-03-01_final.stac-item
2023-03-01 09:58:26	ga_s2am_ard_3-2-1_54GYU_2023-03-01_nrt.stac-item
2023-03-01 09:58:26	ga_s2am_ard_3-2-1_55GBP_2023-03-01_final.stac-item
2023-03-01 09:58:28	ga_s2am_ard_3-2-1_54GXU_2023-03-01_nrt.stac-item
2023-03-01 09:58:31	ga_s2am_ard_3-2-1_54GWU_2023-03-01_nrt.stac-item
2023-03-01 11:30:33	ga_s2am_ard_3-2-1_52LBN_2023-03-01_nrt.stac-item
2023-03-01 11:30:35	ga_s2am_ard_3-2-1_51LZH_2023-03-01_nrt.stac-item
2023-03-01 11:30:38	ga_s2am_ard_3-2-1_51LYH_2023-03-01_nrt.stac-item
2023-03-01 11:30:47	ga_s2am_ard_3-2-1_52LBM_2023-03-01_nrt.stac-item
2023-03-01 11:30:49	ga_s2am_ard_3-2-1_51LZG_2023-03-01_nrt.stac-item
2023-03-01 11:30:56	ga_s2am_ard_3-2-1_51LXG_2023-03-01_nrt.stac-item
2023-03-01 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-03-01_final.stac-item
2023-03-01 11:31:07	ga_s2am_ard_3-2-1_51LYF_2023-03-01_final.stac-item
2023-03-01 11:31:10	ga_s2am_ard_3-2-1_51LXF_2023-03-01_nrt.stac-item
2023-03-01 11:31:28	ga_s2am_ard_3-2-1_51LWE_2023-03-01_final.stac-item
2023-03-01 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-03-01_final.stac-item
2023-03-01 11:31:43	ga_s2am_ard_3-2-1_51LWD_2023-03-01_final.stac-item
2023-03-01 11:32:19	ga_s2am_ard_3-2-1_51KYA_2023-03-01_final.stac-item
2023-03-01 11:32:23	ga_s2am_ard_3-2-1_51KXA_2023-03-01_final.stac-item
2023-03-01 11:32:34	ga_s2am_ard_3-2-1_51KYV_2023-03-01_final.stac-item
2023-03-01 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-03-01_final.stac-item
2023-03-01 11:33:10	ga_s2am_ard_3-2-1_51KWT_2023-03-01_final.stac-item
2023-03-01 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-03-01_final.stac-item
2023-03-01 11:33:21	ga_s2am_ard_3-2-1_51KXS_2023-03-01_final.stac-item
2023-03-01 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-03-01_final.stac-item
2023-03-01 11:33:28	ga_s2am_ard_3-2-1_51KVS_2023-03-01_final.stac-item
2023-03-01 11:33:31	ga_s2am_ard_3-2-1_51KUS_2023-03-01_final.stac-item
2023-03-01 11:33:35	ga_s2am_ard_3-2-1_51KXR_2023-03-01_final.stac-item
2023-03-01 11:33:39	ga_s2am_ard_3-2-1_51KWR_2023-03-01_final.stac-item
2023-03-01 11:33:42	ga_s2am_ard_3-2-1_51KVR_2023-03-01_final.stac-item
2023-03-01 11:33:45	ga_s2am_ard_3-2-1_51KUR_2023-03-01_final.stac-item
2023-03-01 11:33:50	ga_s2am_ard_3-2-1_51KXQ_2023-03-01_final.stac-item
2023-03-01 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2023-03-01_final.stac-item
2023-03-01 11:33:57	ga_s2am_ard_3-2-1_51KVQ_2023-03-01_final.stac-item
2023-03-01 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2023-03-01_final.stac-item
2023-03-01 11:34:03	ga_s2am_ard_3-2-1_51KXP_2023-03-01_final.stac-item
2023-03-01 11:34:15	ga_s2am_ard_3-2-1_51KUP_2023-03-01_final.stac-item
2023-03-01 11:34:37	ga_s2am_ard_3-2-1_51JWM_2023-03-01_final.stac-item
2023-03-01 11:34:40	ga_s2am_ard_3-2-1_51JVM_2023-03-01_final.stac-item
2023-03-01 11:34:47	ga_s2am_ard_3-2-1_51JTM_2023-03-01_final.stac-item
2023-03-01 11:34:52	ga_s2am_ard_3-2-1_51JWL_2023-03-01_final.stac-item
2023-03-01 11:34:55	ga_s2am_ard_3-2-1_51JVL_2023-03-01_final.stac-item
2023-03-01 11:34:58	ga_s2am_ard_3-2-1_51JUL_2023-03-01_final.stac-item
2023-03-01 11:35:01	ga_s2am_ard_3-2-1_51JTL_2023-03-01_final.stac-item
2023-03-01 11:35:05	ga_s2am_ard_3-2-1_51JWK_2023-03-01_final.stac-item
2023-03-01 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-03-01_final.stac-item
2023-03-01 11:35:13	ga_s2am_ard_3-2-1_51JUK_2023-03-01_final.stac-item
2023-03-01 11:35:24	ga_s2am_ard_3-2-1_51JVJ_2023-03-01_final.stac-item
2023-03-01 11:35:48	ga_s2am_ard_3-2-1_50JQN_2023-03-01_final.stac-item
2023-03-01 11:35:57	ga_s2am_ard_3-2-1_51JUG_2023-03-01_final.stac-item
2023-03-01 11:36:00	ga_s2am_ard_3-2-1_51JTG_2023-03-01_final.stac-item
2023-03-01 11:36:08	ga_s2am_ard_3-2-1_51JVF_2023-03-01_final.stac-item
2023-03-01 11:36:14	ga_s2am_ard_3-2-1_51JTF_2023-03-01_final.stac-item
2023-03-01 11:36:21	ga_s2am_ard_3-2-1_51HVE_2023-03-01_final.stac-item
2023-03-01 11:36:24	ga_s2am_ard_3-2-1_50JPL_2023-03-01_final.stac-item
2023-03-01 11:36:26	ga_s2am_ard_3-2-1_51HUE_2023-03-01_final.stac-item
2023-03-01 11:36:29	ga_s2am_ard_3-2-1_51HTE_2023-03-01_final.stac-item
2023-03-01 11:36:35	ga_s2am_ard_3-2-1_50HPK_2023-03-01_final.stac-item
2023-03-01 11:36:58	ga_s2am_ard_3-2-1_51HTC_2023-03-01_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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