Search ga_s2bm_ard_3 on 20th 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
2019-03-20 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2019-03-20_final
2019-03-20 10:04:10	ga_s2bm_ard_3-2-1_54JYS_2019-03-20_final
2019-03-20 10:04:24	ga_s2bm_ard_3-2-1_54JYR_2019-03-20_final
2019-03-20 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2019-03-20_final
2019-03-20 10:04:39	ga_s2bm_ard_3-2-1_54JYQ_2019-03-20_final
2019-03-20 10:04:43	ga_s2bm_ard_3-2-1_54JXQ_2019-03-20_final
2019-03-20 10:04:53	ga_s2bm_ard_3-2-1_54JYP_2019-03-20_final
2019-03-20 10:04:56	ga_s2bm_ard_3-2-1_54JXP_2019-03-20_final
2019-03-20 10:05:08	ga_s2bm_ard_3-2-1_54JYN_2019-03-20_final
2019-03-20 10:05:11	ga_s2bm_ard_3-2-1_54JXN_2019-03-20_final
2019-03-20 10:05:22	ga_s2bm_ard_3-2-1_54JYM_2019-03-20_final
2019-03-20 10:05:26	ga_s2bm_ard_3-2-1_54JXM_2019-03-20_final
2019-03-20 10:05:32	ga_s2bm_ard_3-2-1_54JWM_2019-03-20_final
2019-03-20 10:05:36	ga_s2bm_ard_3-2-1_54JYL_2019-03-20_final
2019-03-20 10:05:38	ga_s2bm_ard_3-2-1_55HCE_2019-03-20_final
2019-03-20 10:05:40	ga_s2bm_ard_3-2-1_54JXL_2019-03-20_final
2019-03-20 10:05:44	ga_s2bm_ard_3-2-1_54JWL_2019-03-20_final
2019-03-20 10:05:48	ga_s2bm_ard_3-2-1_55HBE_2019-03-20_final
2019-03-20 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2019-03-20_final
2019-03-20 10:05:55	ga_s2bm_ard_3-2-1_54HXK_2019-03-20_final
2019-03-20 10:05:58	ga_s2bm_ard_3-2-1_54HWK_2019-03-20_final
2019-03-20 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2019-03-20_final
2019-03-20 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2019-03-20_final
2019-03-20 10:06:09	ga_s2bm_ard_3-2-1_54HXJ_2019-03-20_final
2019-03-20 10:06:13	ga_s2bm_ard_3-2-1_54HWJ_2019-03-20_final
2019-03-20 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2019-03-20_final
2019-03-20 10:06:19	ga_s2bm_ard_3-2-1_54HYH_2019-03-20_final
2019-03-20 10:06:24	ga_s2bm_ard_3-2-1_54HXH_2019-03-20_final
2019-03-20 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2019-03-20_final
2019-03-20 10:06:32	ga_s2bm_ard_3-2-1_55HBB_2019-03-20_final
2019-03-20 10:06:33	ga_s2bm_ard_3-2-1_54HVH_2019-03-20_final
2019-03-20 10:06:34	ga_s2bm_ard_3-2-1_54HYG_2019-03-20_final
2019-03-20 10:06:38	ga_s2bm_ard_3-2-1_54HXG_2019-03-20_final
2019-03-20 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2019-03-20_final
2019-03-20 10:06:45	ga_s2bm_ard_3-2-1_55HBA_2019-03-20_final
2019-03-20 10:06:45	ga_s2bm_ard_3-2-1_54HVG_2019-03-20_final
2019-03-20 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2019-03-20_final
2019-03-20 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2019-03-20_final
2019-03-20 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2019-03-20_final
2019-03-20 10:07:02	ga_s2bm_ard_3-2-1_54HYE_2019-03-20_final
2019-03-20 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2019-03-20_final
2019-03-20 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2019-03-20_final
2019-03-20 10:07:13	ga_s2bm_ard_3-2-1_54HYD_2019-03-20_final
2019-03-20 10:07:14	ga_s2bm_ard_3-2-1_54HVE_2019-03-20_final
2019-03-20 10:07:21	ga_s2bm_ard_3-2-1_54HXD_2019-03-20_final
2019-03-20 10:07:25	ga_s2bm_ard_3-2-1_54HWD_2019-03-20_final
2019-03-20 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2019-03-20_final
2019-03-20 10:07:36	ga_s2bm_ard_3-2-1_54HXC_2019-03-20_final
2019-03-20 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2019-03-20_final
2019-03-20 11:41:00	ga_s2bm_ard_3-2-1_51LVG_2019-03-20_final
2019-03-20 11:41:14	ga_s2bm_ard_3-2-1_51LVF_2019-03-20_final
2019-03-20 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2019-03-20_final
2019-03-20 11:41:25	ga_s2bm_ard_3-2-1_51LWE_2019-03-20_final
2019-03-20 11:41:29	ga_s2bm_ard_3-2-1_51LVE_2019-03-20_final
2019-03-20 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2019-03-20_final
2019-03-20 11:41:46	ga_s2bm_ard_3-2-1_51LUD_2019-03-20_final
2019-03-20 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2019-03-20_final
2019-03-20 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-03-20_final
2019-03-20 11:42:01	ga_s2bm_ard_3-2-1_51LUC_2019-03-20_final
2019-03-20 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2019-03-20_final
2019-03-20 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2019-03-20_final
2019-03-20 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2019-03-20_final
2019-03-20 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2019-03-20_final
2019-03-20 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-03-20_final
2019-03-20 11:42:30	ga_s2bm_ard_3-2-1_51KUA_2019-03-20_final
2019-03-20 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-03-20_final
2019-03-20 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-03-20_final
2019-03-20 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-03-20_final
2019-03-20 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-03-20_final
2019-03-20 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-03-20_final
2019-03-20 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-03-20_final
2019-03-20 11:43:08	ga_s2bm_ard_3-2-1_50KQD_2019-03-20_final
2019-03-20 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2019-03-20_final
2019-03-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-03-20_final
2019-03-20 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-03-20_final
2019-03-20 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-03-20_final
2019-03-20 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2019-03-20_final
2019-03-20 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2019-03-20_final
2019-03-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-03-20_final
2019-03-20 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2019-03-20_final
2019-03-20 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2019-03-20_final
2019-03-20 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-03-20_final
2019-03-20 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2019-03-20_final
2019-03-20 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2019-03-20_final
2019-03-20 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2019-03-20_final
2019-03-20 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2019-03-20_final
2019-03-20 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2019-03-20_final
2019-03-20 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-03-20_final
2019-03-20 11:44:01	ga_s2bm_ard_3-2-1_51KTQ_2019-03-20_final
2019-03-20 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2019-03-20_final
2019-03-20 11:44:04	ga_s2bm_ard_3-2-1_50KQV_2019-03-20_final
2019-03-20 11:44:09	ga_s2bm_ard_3-2-1_50KPV_2019-03-20_final
2019-03-20 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-03-20_final
2019-03-20 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2019-03-20_final
2019-03-20 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2019-03-20_final
2019-03-20 11:44:19	ga_s2bm_ard_3-2-1_50KQU_2019-03-20_final
2019-03-20 11:44:22	ga_s2bm_ard_3-2-1_50KPU_2019-03-20_final
2019-03-20 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2019-03-20_final
2019-03-20 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-03-20_final
2019-03-20 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2019-03-20_final

Return to ga_s2bm_ard_3 on 20th 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

20th