Search ga_s2bm_ard_3 on 14th July 2019

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
2019-07-14 10:19:46	ga_s2bm_ard_3-2-1_54LZQ_2019-07-14_final
2019-07-14 10:19:50	ga_s2bm_ard_3-2-1_54LYQ_2019-07-14_final
2019-07-14 10:19:53	ga_s2bm_ard_3-2-1_54LXQ_2019-07-14_final
2019-07-14 10:20:01	ga_s2bm_ard_3-2-1_54LZP_2019-07-14_final
2019-07-14 10:20:04	ga_s2bm_ard_3-2-1_54LYP_2019-07-14_final
2019-07-14 10:20:08	ga_s2bm_ard_3-2-1_54LXP_2019-07-14_final
2019-07-14 10:20:15	ga_s2bm_ard_3-2-1_54LZN_2019-07-14_final
2019-07-14 10:20:19	ga_s2bm_ard_3-2-1_54LYN_2019-07-14_final
2019-07-14 10:20:22	ga_s2bm_ard_3-2-1_54LXN_2019-07-14_final
2019-07-14 10:20:27	ga_s2bm_ard_3-2-1_54LWN_2019-07-14_final
2019-07-14 10:20:30	ga_s2bm_ard_3-2-1_54LZM_2019-07-14_final
2019-07-14 10:20:33	ga_s2bm_ard_3-2-1_54LYM_2019-07-14_final
2019-07-14 10:20:37	ga_s2bm_ard_3-2-1_54LXM_2019-07-14_final
2019-07-14 10:20:40	ga_s2bm_ard_3-2-1_54LWM_2019-07-14_final
2019-07-14 10:20:44	ga_s2bm_ard_3-2-1_54LZL_2019-07-14_final
2019-07-14 10:20:48	ga_s2bm_ard_3-2-1_54LYL_2019-07-14_final
2019-07-14 10:20:51	ga_s2bm_ard_3-2-1_54LXL_2019-07-14_final
2019-07-14 10:20:54	ga_s2bm_ard_3-2-1_54LWL_2019-07-14_final
2019-07-14 10:20:58	ga_s2bm_ard_3-2-1_54LZK_2019-07-14_final
2019-07-14 10:21:02	ga_s2bm_ard_3-2-1_54LYK_2019-07-14_final
2019-07-14 10:21:06	ga_s2bm_ard_3-2-1_54LXK_2019-07-14_final
2019-07-14 10:21:09	ga_s2bm_ard_3-2-1_54LWK_2019-07-14_final
2019-07-14 10:21:09	ga_s2bm_ard_3-2-1_54LZJ_2019-07-14_final
2019-07-14 10:21:16	ga_s2bm_ard_3-2-1_54LYJ_2019-07-14_final
2019-07-14 10:21:20	ga_s2bm_ard_3-2-1_54LXJ_2019-07-14_final
2019-07-14 10:21:24	ga_s2bm_ard_3-2-1_54LWJ_2019-07-14_final
2019-07-14 10:21:29	ga_s2bm_ard_3-2-1_54LVJ_2019-07-14_final
2019-07-14 10:21:31	ga_s2bm_ard_3-2-1_54LYH_2019-07-14_final
2019-07-14 10:21:35	ga_s2bm_ard_3-2-1_54LXH_2019-07-14_final
2019-07-14 10:21:38	ga_s2bm_ard_3-2-1_54LWH_2019-07-14_final
2019-07-14 10:21:42	ga_s2bm_ard_3-2-1_54LVH_2019-07-14_final
2019-07-14 10:21:46	ga_s2bm_ard_3-2-1_54KYG_2019-07-14_final
2019-07-14 10:26:16	ga_s2bm_ard_3-2-1_53HPE_2019-07-14_final
2019-07-14 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-07-14_final
2019-07-14 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-07-14_final
2019-07-14 10:26:41	ga_s2bm_ard_3-2-1_53HQC_2019-07-14_final
2019-07-14 10:26:45	ga_s2bm_ard_3-2-1_53HPC_2019-07-14_final
2019-07-14 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-07-14_final
2019-07-14 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-07-14_final
2019-07-14 10:26:59	ga_s2bm_ard_3-2-1_53HPB_2019-07-14_final
2019-07-14 10:27:03	ga_s2bm_ard_3-2-1_53HNB_2019-07-14_final
2019-07-14 10:27:08	ga_s2bm_ard_3-2-1_54HTF_2019-07-14_final
2019-07-14 10:27:10	ga_s2bm_ard_3-2-1_53HQA_2019-07-14_final
2019-07-14 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-14_final
2019-07-14 10:27:21	ga_s2bm_ard_3-2-1_54HTE_2019-07-14_final
2019-07-14 10:27:22	ga_s2bm_ard_3-2-1_53HQV_2019-07-14_final
2019-07-14 10:27:24	ga_s2bm_ard_3-2-1_53HPV_2019-07-14_final
2019-07-14 12:03:28	ga_s2bm_ard_3-2-1_50KNC_2019-07-14_final
2019-07-14 12:03:32	ga_s2bm_ard_3-2-1_50KMC_2019-07-14_final
2019-07-14 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-07-14_final
2019-07-14 12:03:42	ga_s2bm_ard_3-2-1_50KNB_2019-07-14_final
2019-07-14 12:03:46	ga_s2bm_ard_3-2-1_50KMB_2019-07-14_final
2019-07-14 12:03:50	ga_s2bm_ard_3-2-1_50KLB_2019-07-14_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_50KNA_2019-07-14_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-07-14_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-07-14_final
2019-07-14 12:04:01	ga_s2bm_ard_3-2-1_50KMA_2019-07-14_final
2019-07-14 12:04:04	ga_s2bm_ard_3-2-1_50KLA_2019-07-14_final
2019-07-14 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-07-14_final
2019-07-14 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-07-14_final
2019-07-14 12:04:15	ga_s2bm_ard_3-2-1_50KMV_2019-07-14_final
2019-07-14 12:04:19	ga_s2bm_ard_3-2-1_50KLV_2019-07-14_final
2019-07-14 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2019-07-14_final
2019-07-14 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-14_final
2019-07-14 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-14_final
2019-07-14 12:04:30	ga_s2bm_ard_3-2-1_50KMU_2019-07-14_final
2019-07-14 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-07-14_final
2019-07-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2019-07-14_final
2019-07-14 12:04:37	ga_s2bm_ard_3-2-1_50KKU_2019-07-14_final
2019-07-14 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-14_final
2019-07-14 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-07-14_final
2019-07-14 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-14_final
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-14_final
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-07-14_final
2019-07-14 12:04:55	ga_s2bm_ard_3-2-1_49JGN_2019-07-14_final
2019-07-14 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2019-07-14_final
2019-07-14 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-07-14_final
2019-07-14 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-07-14_final
2019-07-14 12:05:06	ga_s2bm_ard_3-2-1_50JKS_2019-07-14_final
2019-07-14 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-07-14_final
2019-07-14 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-14_final
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_50JLR_2019-07-14_final
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-07-14_final
2019-07-14 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-07-14_final
2019-07-14 12:05:24	ga_s2bm_ard_3-2-1_49JGL_2019-07-14_final
2019-07-14 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-07-14_final
2019-07-14 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-07-14_final
2019-07-14 12:05:31	ga_s2bm_ard_3-2-1_49JGL_2019-07-14_final
2019-07-14 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-07-14_final
2019-07-14 12:05:35	ga_s2bm_ard_3-2-1_50JLQ_2019-07-14_final
2019-07-14 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-07-14_final
2019-07-14 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-07-14_final
2019-07-14 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-07-14_final
2019-07-14 12:05:50	ga_s2bm_ard_3-2-1_50JKP_2019-07-14_final
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final
2019-07-14 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-07-14_final
2019-07-14 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-14_final
2019-07-14 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-14_final
2019-07-14 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2019-07-14_final
2019-07-14 12:06:18	ga_s2bm_ard_3-2-1_50JKM_2019-07-14_final

Return to ga_s2bm_ard_3 on 14th July 2019 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B 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

2019

July

14th