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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2023-05-02 12:15:19	ga_s2am_ard_3-2-1_49JGK_2023-05-02_final
2023-05-03 08:31:42	ga_s2am_ard_3-2-1_57FVV_2023-05-02_final
2023-05-03 10:01:12	ga_s2am_ard_3-2-1_55LCD_2023-05-03_final
2023-05-03 10:01:14	ga_s2am_ard_3-2-1_55LFC_2023-05-03_final
2023-05-03 10:01:18	ga_s2am_ard_3-2-1_55LEC_2023-05-03_final
2023-05-03 10:01:24	ga_s2am_ard_3-2-1_55LCC_2023-05-03_final
2023-05-03 10:01:29	ga_s2am_ard_3-2-1_55KFB_2023-05-03_final
2023-05-03 10:01:32	ga_s2am_ard_3-2-1_55KEB_2023-05-03_final
2023-05-03 10:01:36	ga_s2am_ard_3-2-1_55KDB_2023-05-03_final
2023-05-03 10:01:39	ga_s2am_ard_3-2-1_55KCB_2023-05-03_final
2023-05-03 10:01:43	ga_s2am_ard_3-2-1_55KFA_2023-05-03_final
2023-05-03 10:01:50	ga_s2am_ard_3-2-1_55KDA_2023-05-03_final
2023-05-03 10:01:53	ga_s2am_ard_3-2-1_55KCA_2023-05-03_final
2023-05-03 10:02:01	ga_s2am_ard_3-2-1_55KEV_2023-05-03_final
2023-05-03 10:02:05	ga_s2am_ard_3-2-1_55KDV_2023-05-03_final
2023-05-03 10:02:08	ga_s2am_ard_3-2-1_55KCV_2023-05-03_final
2023-05-03 10:02:15	ga_s2am_ard_3-2-1_55KBV_2023-05-03_final
2023-05-03 10:02:16	ga_s2am_ard_3-2-1_55KEU_2023-05-03_final
2023-05-03 10:02:19	ga_s2am_ard_3-2-1_55KDU_2023-05-03_final
2023-05-03 10:02:23	ga_s2am_ard_3-2-1_55KCU_2023-05-03_final
2023-05-03 10:02:26	ga_s2am_ard_3-2-1_55KBU_2023-05-03_final
2023-05-03 10:02:30	ga_s2am_ard_3-2-1_55KET_2023-05-03_final
2023-05-03 10:02:34	ga_s2am_ard_3-2-1_55KDT_2023-05-03_final
2023-05-03 10:02:37	ga_s2am_ard_3-2-1_55KCT_2023-05-03_final
2023-05-03 10:02:40	ga_s2am_ard_3-2-1_55KBT_2023-05-03_final
2023-05-03 10:02:42	ga_s2am_ard_3-2-1_54KZC_2023-05-03_final
2023-05-03 10:02:45	ga_s2am_ard_3-2-1_55KES_2023-05-03_final
2023-05-03 10:02:48	ga_s2am_ard_3-2-1_55KDS_2023-05-03_final
2023-05-03 10:02:52	ga_s2am_ard_3-2-1_55KCS_2023-05-03_final
2023-05-03 10:02:55	ga_s2am_ard_3-2-1_55KBS_2023-05-03_final
2023-05-03 10:02:55	ga_s2am_ard_3-2-1_54KZB_2023-05-03_final
2023-05-03 10:02:58	ga_s2am_ard_3-2-1_55KER_2023-05-03_final
2023-05-03 10:03:03	ga_s2am_ard_3-2-1_55KDR_2023-05-03_final
2023-05-03 10:03:06	ga_s2am_ard_3-2-1_55KCR_2023-05-03_final
2023-05-03 10:03:09	ga_s2am_ard_3-2-1_55KEQ_2023-05-03_final
2023-05-03 10:03:09	ga_s2am_ard_3-2-1_55KBR_2023-05-03_final
2023-05-03 10:03:10	ga_s2am_ard_3-2-1_54KZA_2023-05-03_final
2023-05-03 10:03:17	ga_s2am_ard_3-2-1_55KDQ_2023-05-03_final
2023-05-03 10:03:21	ga_s2am_ard_3-2-1_55KCQ_2023-05-03_final
2023-05-03 10:03:24	ga_s2am_ard_3-2-1_55KBQ_2023-05-03_final
2023-05-03 10:03:24	ga_s2am_ard_3-2-1_54KZV_2023-05-03_final
2023-05-03 10:03:32	ga_s2am_ard_3-2-1_55KDP_2023-05-03_final
2023-05-03 10:03:32	ga_s2am_ard_3-2-1_54KYV_2023-05-03_final
2023-05-03 10:03:35	ga_s2am_ard_3-2-1_55KCP_2023-05-03_final
2023-05-03 10:03:38	ga_s2am_ard_3-2-1_55KBP_2023-05-03_final
2023-05-03 10:03:38	ga_s2am_ard_3-2-1_54KZU_2023-05-03_final
2023-05-03 10:03:43	ga_s2am_ard_3-2-1_54KYU_2023-05-03_final
2023-05-03 10:03:47	ga_s2am_ard_3-2-1_55JDN_2023-05-03_final
2023-05-03 10:03:50	ga_s2am_ard_3-2-1_55JCN_2023-05-03_final
2023-05-03 10:03:53	ga_s2am_ard_3-2-1_54JZT_2023-05-03_final
2023-05-03 10:03:53	ga_s2am_ard_3-2-1_55JBN_2023-05-03_final
2023-05-03 10:03:56	ga_s2am_ard_3-2-1_54JYT_2023-05-03_final
2023-05-03 10:04:01	ga_s2am_ard_3-2-1_55JDM_2023-05-03_final
2023-05-03 10:04:04	ga_s2am_ard_3-2-1_55JCM_2023-05-03_final
2023-05-03 10:04:07	ga_s2am_ard_3-2-1_54JZS_2023-05-03_final
2023-05-03 10:04:08	ga_s2am_ard_3-2-1_55JBM_2023-05-03_final
2023-05-03 10:04:11	ga_s2am_ard_3-2-1_54JYS_2023-05-03_final
2023-05-03 10:04:14	ga_s2am_ard_3-2-1_55JDL_2023-05-03_final
2023-05-03 10:04:19	ga_s2am_ard_3-2-1_55JCL_2023-05-03_final
2023-05-03 10:04:22	ga_s2am_ard_3-2-1_55JBL_2023-05-03_final
2023-05-03 10:04:24	ga_s2am_ard_3-2-1_55JDK_2023-05-03_final
2023-05-03 10:04:26	ga_s2am_ard_3-2-1_54JYR_2023-05-03_final
2023-05-03 10:04:33	ga_s2am_ard_3-2-1_54JXR_2023-05-03_final
2023-05-03 10:04:33	ga_s2am_ard_3-2-1_55JCK_2023-05-03_final
2023-05-03 10:04:37	ga_s2am_ard_3-2-1_55JBK_2023-05-03_final
2023-05-03 10:04:40	ga_s2am_ard_3-2-1_54JYQ_2023-05-03_final
2023-05-03 10:04:44	ga_s2am_ard_3-2-1_54JXQ_2023-05-03_final
2023-05-03 10:04:48	ga_s2am_ard_3-2-1_55JCJ_2023-05-03_final
2023-05-03 10:04:54	ga_s2am_ard_3-2-1_54JYP_2023-05-03_final
2023-05-03 10:04:58	ga_s2am_ard_3-2-1_54JXP_2023-05-03_final
2023-05-03 10:05:03	ga_s2am_ard_3-2-1_55JCH_2023-05-03_final
2023-05-03 10:05:09	ga_s2am_ard_3-2-1_54JYN_2023-05-03_final
2023-05-03 10:05:13	ga_s2am_ard_3-2-1_54JXN_2023-05-03_final
2023-05-03 10:05:17	ga_s2am_ard_3-2-1_55JCG_2023-05-03_final
2023-05-03 10:05:23	ga_s2am_ard_3-2-1_54JYM_2023-05-03_final
2023-05-03 10:05:27	ga_s2am_ard_3-2-1_54JXM_2023-05-03_final
2023-05-03 10:05:29	ga_s2am_ard_3-2-1_55JCF_2023-05-03_final
2023-05-03 10:05:38	ga_s2am_ard_3-2-1_54JYL_2023-05-03_final
2023-05-03 10:05:56	ga_s2am_ard_3-2-1_54HXK_2023-05-03_final
2023-05-03 10:06:21	ga_s2am_ard_3-2-1_54HYH_2023-05-03_final
2023-05-03 10:06:29	ga_s2am_ard_3-2-1_54HYG_2023-05-03_final
2023-05-03 10:06:30	ga_s2am_ard_3-2-1_54HVH_2023-05-03_final
2023-05-03 10:06:35	ga_s2am_ard_3-2-1_54HVH_2023-05-03_final
2023-05-03 10:06:36	ga_s2am_ard_3-2-1_54HYG_2023-05-03_final
2023-05-03 10:06:46	ga_s2am_ard_3-2-1_55HBA_2023-05-03_final
2023-05-03 10:06:46	ga_s2am_ard_3-2-1_54HVG_2023-05-03_final
2023-05-03 10:06:50	ga_s2am_ard_3-2-1_54HYF_2023-05-03_final
2023-05-03 10:06:57	ga_s2am_ard_3-2-1_54HWF_2023-05-03_final
2023-05-03 10:07:03	ga_s2am_ard_3-2-1_54HYE_2023-05-03_final
2023-05-03 10:07:12	ga_s2am_ard_3-2-1_54HWE_2023-05-03_final
2023-05-03 10:07:14	ga_s2am_ard_3-2-1_54HYD_2023-05-03_final
2023-05-03 10:07:26	ga_s2am_ard_3-2-1_54HWD_2023-05-03_final
2023-05-03 10:07:41	ga_s2am_ard_3-2-1_54HWC_2023-05-03_final
2023-05-03 11:40:58	ga_s2am_ard_3-2-1_51LWG_2023-05-03_final
2023-05-03 11:41:01	ga_s2am_ard_3-2-1_51LVG_2023-05-03_final
2023-05-03 11:41:15	ga_s2am_ard_3-2-1_51LVF_2023-05-03_final
2023-05-03 11:41:26	ga_s2am_ard_3-2-1_51LWE_2023-05-03_final
2023-05-03 11:41:56	ga_s2am_ard_3-2-1_51LWC_2023-05-03_final
2023-05-03 11:42:28	ga_s2am_ard_3-2-1_51KVA_2023-05-03_final
2023-05-03 11:42:46	ga_s2am_ard_3-2-1_51KUV_2023-05-03_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

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