Search ga_s2am_ard_3 on 24th September 2022

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
2022-09-24 08:55:28	ga_s2am_ard_3-2-1_57JWF_2022-09-23_interim
2022-09-24 08:55:34	ga_s2am_ard_3-2-1_57HWE_2022-09-23_interim
2022-09-24 10:29:46	ga_s2am_ard_3-2-1_54LXQ_2022-09-24_final
2022-09-24 10:29:50	ga_s2am_ard_3-2-1_54LWQ_2022-09-24_final
2022-09-24 10:30:01	ga_s2am_ard_3-2-1_54LXP_2022-09-24_final
2022-09-24 10:30:04	ga_s2am_ard_3-2-1_54LWP_2022-09-24_final
2022-09-24 10:30:14	ga_s2am_ard_3-2-1_54LXN_2022-09-24_final
2022-09-24 10:30:19	ga_s2am_ard_3-2-1_54LWN_2022-09-24_final
2022-09-24 10:30:25	ga_s2am_ard_3-2-1_54LXM_2022-09-24_final
2022-09-24 10:30:33	ga_s2am_ard_3-2-1_54LWM_2022-09-24_final
2022-09-24 10:30:37	ga_s2am_ard_3-2-1_54LVM_2022-09-24_final
2022-09-24 10:30:48	ga_s2am_ard_3-2-1_54LWL_2022-09-24_final
2022-09-24 10:30:51	ga_s2am_ard_3-2-1_54LVL_2022-09-24_final
2022-09-24 10:31:02	ga_s2am_ard_3-2-1_54LWK_2022-09-24_final
2022-09-24 10:31:06	ga_s2am_ard_3-2-1_54LVK_2022-09-24_final
2022-09-24 10:31:16	ga_s2am_ard_3-2-1_54LWJ_2022-09-24_final
2022-09-24 10:31:18	ga_s2am_ard_3-2-1_54LVJ_2022-09-24_final
2022-09-24 10:31:20	ga_s2am_ard_3-2-1_54LUJ_2022-09-24_final
2022-09-24 10:31:22	ga_s2am_ard_3-2-1_54LWJ_2022-09-24_final
2022-09-24 10:31:24	ga_s2am_ard_3-2-1_54LVJ_2022-09-24_final
2022-09-24 10:31:26	ga_s2am_ard_3-2-1_54LUJ_2022-09-24_final
2022-09-24 10:31:29	ga_s2am_ard_3-2-1_54LWH_2022-09-24_final
2022-09-24 10:31:35	ga_s2am_ard_3-2-1_54LVH_2022-09-24_final
2022-09-24 10:31:38	ga_s2am_ard_3-2-1_54LUH_2022-09-24_final
2022-09-24 10:31:39	ga_s2am_ard_3-2-1_54KWG_2022-09-24_final
2022-09-24 10:31:49	ga_s2am_ard_3-2-1_54KVG_2022-09-24_final
2022-09-24 10:31:53	ga_s2am_ard_3-2-1_54KUG_2022-09-24_final
2022-09-24 10:31:56	ga_s2am_ard_3-2-1_54KTG_2022-09-24_final
2022-09-24 10:31:57	ga_s2am_ard_3-2-1_53KRB_2022-09-24_final
2022-09-24 10:32:04	ga_s2am_ard_3-2-1_54KVF_2022-09-24_final
2022-09-24 10:32:07	ga_s2am_ard_3-2-1_54KUF_2022-09-24_final
2022-09-24 10:32:10	ga_s2am_ard_3-2-1_54KTF_2022-09-24_final
2022-09-24 10:32:11	ga_s2am_ard_3-2-1_53KRA_2022-09-24_final
2022-09-24 10:32:18	ga_s2am_ard_3-2-1_53KQA_2022-09-24_final
2022-09-24 10:32:19	ga_s2am_ard_3-2-1_54KVE_2022-09-24_final
2022-09-24 10:32:22	ga_s2am_ard_3-2-1_54KUE_2022-09-24_final
2022-09-24 10:32:25	ga_s2am_ard_3-2-1_54KTE_2022-09-24_final
2022-09-24 10:32:26	ga_s2am_ard_3-2-1_53KRV_2022-09-24_final
2022-09-24 10:32:29	ga_s2am_ard_3-2-1_53KQV_2022-09-24_final
2022-09-24 10:32:32	ga_s2am_ard_3-2-1_54KVD_2022-09-24_final
2022-09-24 10:32:36	ga_s2am_ard_3-2-1_54KUD_2022-09-24_final
2022-09-24 10:32:40	ga_s2am_ard_3-2-1_54KTD_2022-09-24_final
2022-09-24 10:32:40	ga_s2am_ard_3-2-1_53KRU_2022-09-24_final
2022-09-24 10:32:43	ga_s2am_ard_3-2-1_53KQU_2022-09-24_final
2022-09-24 10:34:25	ga_s2am_ard_3-2-1_53JQM_2022-09-24_final
2022-09-24 10:34:32	ga_s2am_ard_3-2-1_53JNM_2022-09-24_final
2022-09-24 10:34:36	ga_s2am_ard_3-2-1_54JTR_2022-09-24_final
2022-09-24 10:34:40	ga_s2am_ard_3-2-1_53JQL_2022-09-24_final
2022-09-24 10:34:43	ga_s2am_ard_3-2-1_53JPL_2022-09-24_final
2022-09-24 10:34:46	ga_s2am_ard_3-2-1_53JNL_2022-09-24_final
2022-09-24 10:34:58	ga_s2am_ard_3-2-1_53JPK_2022-09-24_final
2022-09-24 10:35:12	ga_s2am_ard_3-2-1_53JPJ_2022-09-24_final
2022-09-24 10:35:16	ga_s2am_ard_3-2-1_53JNJ_2022-09-24_final
2022-09-24 10:35:22	ga_s2am_ard_3-2-1_53JMJ_2022-09-24_final
2022-09-24 10:35:23	ga_s2am_ard_3-2-1_53JQH_2022-09-24_final
2022-09-24 10:35:27	ga_s2am_ard_3-2-1_53JPH_2022-09-24_final
2022-09-24 10:35:30	ga_s2am_ard_3-2-1_53JNH_2022-09-24_final
2022-09-24 10:35:34	ga_s2am_ard_3-2-1_53JMH_2022-09-24_final
2022-09-24 10:35:37	ga_s2am_ard_3-2-1_53JQG_2022-09-24_final
2022-09-24 10:35:41	ga_s2am_ard_3-2-1_53JPG_2022-09-24_final
2022-09-24 10:35:45	ga_s2am_ard_3-2-1_53JNG_2022-09-24_final
2022-09-24 10:35:48	ga_s2am_ard_3-2-1_53JMG_2022-09-24_final
2022-09-24 10:35:51	ga_s2am_ard_3-2-1_53JQF_2022-09-24_final
2022-09-24 10:35:55	ga_s2am_ard_3-2-1_53JPF_2022-09-24_final
2022-09-24 10:35:59	ga_s2am_ard_3-2-1_53JNF_2022-09-24_final
2022-09-24 10:36:03	ga_s2am_ard_3-2-1_53JMF_2022-09-24_final
2022-09-24 10:36:03	ga_s2am_ard_3-2-1_53HQE_2022-09-24_final
2022-09-24 10:36:10	ga_s2am_ard_3-2-1_53HPE_2022-09-24_final
2022-09-24 10:36:14	ga_s2am_ard_3-2-1_53HNE_2022-09-24_final
2022-09-24 10:36:17	ga_s2am_ard_3-2-1_53HME_2022-09-24_final
2022-09-24 10:36:23	ga_s2am_ard_3-2-1_53HLE_2022-09-24_final
2022-09-24 10:36:24	ga_s2am_ard_3-2-1_53HPD_2022-09-24_final
2022-09-24 10:36:28	ga_s2am_ard_3-2-1_53HND_2022-09-24_final
2022-09-24 10:36:32	ga_s2am_ard_3-2-1_53HMD_2022-09-24_final
2022-09-24 10:36:35	ga_s2am_ard_3-2-1_53HLD_2022-09-24_final
2022-09-24 10:36:39	ga_s2am_ard_3-2-1_53HPC_2022-09-24_final
2022-09-24 10:36:43	ga_s2am_ard_3-2-1_53HNC_2022-09-24_final
2022-09-24 10:36:46	ga_s2am_ard_3-2-1_53HMC_2022-09-24_final
2022-09-24 10:36:53	ga_s2am_ard_3-2-1_53HPB_2022-09-24_final
2022-09-24 10:36:57	ga_s2am_ard_3-2-1_53HNB_2022-09-24_final
2022-09-24 10:37:01	ga_s2am_ard_3-2-1_53HMB_2022-09-24_final
2022-09-24 10:37:06	ga_s2am_ard_3-2-1_53HPA_2022-09-24_final
2022-09-24 10:37:15	ga_s2am_ard_3-2-1_53HPV_2022-09-24_final
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_50KKB_2022-09-24_final
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final
2022-09-24 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-09-24_final
2022-09-24 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-09-24_final
2022-09-24 12:14:05	ga_s2am_ard_3-2-1_49KGR_2022-09-24_final
2022-09-24 12:14:14	ga_s2am_ard_3-2-1_50KKV_2022-09-24_final
2022-09-24 12:14:16	ga_s2am_ard_3-2-1_49KHQ_2022-09-24_final
2022-09-24 12:14:20	ga_s2am_ard_3-2-1_49KGQ_2022-09-24_final
2022-09-24 12:14:26	ga_s2am_ard_3-2-1_50KKU_2022-09-24_final
2022-09-24 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-09-24_final
2022-09-24 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-09-24_final
2022-09-24 12:14:38	ga_s2am_ard_3-2-1_49JHN_2022-09-24_final
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final
2022-09-24 12:14:52	ga_s2am_ard_3-2-1_49JFN_2022-09-24_final
2022-09-24 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-09-24_final
2022-09-24 12:15:07	ga_s2am_ard_3-2-1_49JFM_2022-09-24_final
2022-09-24 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-09-24_final

Return to ga_s2am_ard_3 on 24th September 2022 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

Other Products

2022

September

24th