Search ga_s2bm_ard_3 on 4th March 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
2019-03-04 09:46:26	ga_s2bm_ard_3-2-1_55HCC_2019-03-04_final
2019-03-04 09:46:37	ga_s2bm_ard_3-2-1_55HCB_2019-03-04_final
2019-03-04 09:46:50	ga_s2bm_ard_3-2-1_55HCA_2019-03-04_final
2019-03-04 09:47:20	ga_s2bm_ard_3-2-1_55HCU_2019-03-04_final
2019-03-04 09:47:34	ga_s2bm_ard_3-2-1_55HCT_2019-03-04_final
2019-03-04 09:47:38	ga_s2bm_ard_3-2-1_55HBT_2019-03-04_final
2019-03-04 09:47:42	ga_s2bm_ard_3-2-1_54HYC_2019-03-04_final
2019-03-04 09:47:48	ga_s2bm_ard_3-2-1_55HCS_2019-03-04_final
2019-03-04 09:47:52	ga_s2bm_ard_3-2-1_55HBS_2019-03-04_final
2019-03-04 09:47:53	ga_s2bm_ard_3-2-1_54HYB_2019-03-04_final
2019-03-04 09:47:56	ga_s2bm_ard_3-2-1_55GER_2019-03-04_final
2019-03-04 09:48:00	ga_s2bm_ard_3-2-1_55GDR_2019-03-04_final
2019-03-04 09:48:03	ga_s2bm_ard_3-2-1_55GCR_2019-03-04_final
2019-03-04 09:48:06	ga_s2bm_ard_3-2-1_55GBR_2019-03-04_final
2019-03-04 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2019-03-04_final
2019-03-04 09:48:09	ga_s2bm_ard_3-2-1_55GEQ_2019-03-04_final
2019-03-04 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2019-03-04_final
2019-03-04 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2019-03-04_final
2019-03-04 09:48:20	ga_s2bm_ard_3-2-1_55GEP_2019-03-04_final
2019-03-04 09:48:21	ga_s2bm_ard_3-2-1_55GBQ_2019-03-04_final
2019-03-04 09:48:21	ga_s2bm_ard_3-2-1_54GYV_2019-03-04_final
2019-03-04 09:48:28	ga_s2bm_ard_3-2-1_55GDP_2019-03-04_final
2019-03-04 09:48:32	ga_s2bm_ard_3-2-1_55GCP_2019-03-04_final
2019-03-04 09:48:43	ga_s2bm_ard_3-2-1_55GDN_2019-03-04_final
2019-03-04 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2019-03-04_final
2019-03-04 09:48:56	ga_s2bm_ard_3-2-1_55GDM_2019-03-04_final
2019-03-04 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2019-03-04_final
2019-03-04 11:20:56	ga_s2bm_ard_3-2-1_52LEL_2019-03-04_final
2019-03-04 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2019-03-04_final
2019-03-04 11:21:19	ga_s2bm_ard_3-2-1_52LCK_2019-03-04_final
2019-03-04 11:21:22	ga_s2bm_ard_3-2-1_52LBK_2019-03-04_final
2019-03-04 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2019-03-04_final
2019-03-04 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2019-03-04_final
2019-03-04 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2019-03-04_final
2019-03-04 11:21:36	ga_s2bm_ard_3-2-1_52LBJ_2019-03-04_final
2019-03-04 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2019-03-04_final
2019-03-04 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2019-03-04_final
2019-03-04 11:21:48	ga_s2bm_ard_3-2-1_52LCH_2019-03-04_final
2019-03-04 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2019-03-04_final
2019-03-04 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-03-04_final
2019-03-04 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2019-03-04_final
2019-03-04 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2019-03-04_final
2019-03-04 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2019-03-04_final
2019-03-04 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2019-03-04_final
2019-03-04 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2019-03-04_final
2019-03-04 11:22:10	ga_s2bm_ard_3-2-1_51KYB_2019-03-04_final
2019-03-04 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2019-03-04_final
2019-03-04 11:22:17	ga_s2bm_ard_3-2-1_52KCF_2019-03-04_final
2019-03-04 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2019-03-04_final
2019-03-04 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2019-03-04_final
2019-03-04 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2019-03-04_final
2019-03-04 11:22:31	ga_s2bm_ard_3-2-1_52KCE_2019-03-04_final
2019-03-04 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2019-03-04_final
2019-03-04 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2019-03-04_final
2019-03-04 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2019-03-04_final
2019-03-04 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2019-03-04_final
2019-03-04 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2019-03-04_final
2019-03-04 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2019-03-04_final
2019-03-04 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2019-03-04_final
2019-03-04 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2019-03-04_final
2019-03-04 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2019-03-04_final
2019-03-04 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2019-03-04_final
2019-03-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2019-03-04_final
2019-03-04 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2019-03-04_final
2019-03-04 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2019-03-04_final
2019-03-04 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2019-03-04_final
2019-03-04 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2019-03-04_final
2019-03-04 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JVH_2019-03-04_final
2019-03-04 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2019-03-04_final
2019-03-04 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2019-03-04_final
2019-03-04 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2019-03-04_final
2019-03-04 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2019-03-04_final
2019-03-04 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2019-03-04_final
2019-03-04 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2019-03-04_final
2019-03-04 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-04_final
2019-03-04 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2019-03-04_final
2019-03-04 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2019-03-04_final
2019-03-04 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2019-03-04_final
2019-03-04 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2019-03-04_final
2019-03-04 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2019-03-04_final
2019-03-04 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2019-03-04_final
2019-03-04 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2019-03-04_final
2019-03-04 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2019-03-04_final
2019-03-04 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2019-03-04_final
2019-03-04 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2019-03-04_final
2019-03-04 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-04_final
2019-03-04 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-04_final
2019-03-04 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2019-03-04_final
2019-03-04 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:06	ga_s2bm_ard_3-2-1_51HVB_2019-03-04_final
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_final
2019-03-04 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HTB_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_final

Return to ga_s2bm_ard_3 on 4th March 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

March

4th