Search ga_s2bm_ard_3 on 16th October 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
2019-10-16 10:01:37	ga_s2bm_ard_3-2-1_55KDB_2019-10-16_final
2019-10-16 10:01:39	ga_s2bm_ard_3-2-1_55KCB_2019-10-16_final
2019-10-16 10:01:51	ga_s2bm_ard_3-2-1_55KDA_2019-10-16_final
2019-10-16 10:01:54	ga_s2bm_ard_3-2-1_55KCA_2019-10-16_final
2019-10-16 10:02:09	ga_s2bm_ard_3-2-1_55KCV_2019-10-16_final
2019-10-16 10:02:16	ga_s2bm_ard_3-2-1_55KBV_2019-10-16_final
2019-10-16 10:02:23	ga_s2bm_ard_3-2-1_55KCU_2019-10-16_final
2019-10-16 10:02:27	ga_s2bm_ard_3-2-1_55KBU_2019-10-16_final
2019-10-16 10:02:38	ga_s2bm_ard_3-2-1_55KCT_2019-10-16_final
2019-10-16 10:02:41	ga_s2bm_ard_3-2-1_55KBT_2019-10-16_final
2019-10-16 10:02:43	ga_s2bm_ard_3-2-1_54KZC_2019-10-16_final
2019-10-16 10:02:49	ga_s2bm_ard_3-2-1_55KDS_2019-10-16_final
2019-10-16 10:02:53	ga_s2bm_ard_3-2-1_55KCS_2019-10-16_final
2019-10-16 10:02:56	ga_s2bm_ard_3-2-1_55KBS_2019-10-16_final
2019-10-16 10:02:56	ga_s2bm_ard_3-2-1_54KZB_2019-10-16_final
2019-10-16 10:03:07	ga_s2bm_ard_3-2-1_55KCR_2019-10-16_final
2019-10-16 10:03:10	ga_s2bm_ard_3-2-1_55KEQ_2019-10-16_final
2019-10-16 10:03:10	ga_s2bm_ard_3-2-1_55KBR_2019-10-16_final
2019-10-16 10:03:10	ga_s2bm_ard_3-2-1_54KZA_2019-10-16_final
2019-10-16 10:03:18	ga_s2bm_ard_3-2-1_55KDQ_2019-10-16_final
2019-10-16 10:03:22	ga_s2bm_ard_3-2-1_55KCQ_2019-10-16_final
2019-10-16 10:03:25	ga_s2bm_ard_3-2-1_55KBQ_2019-10-16_final
2019-10-16 10:03:25	ga_s2bm_ard_3-2-1_54KZV_2019-10-16_final
2019-10-16 10:03:33	ga_s2bm_ard_3-2-1_55KDP_2019-10-16_final
2019-10-16 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2019-10-16_final
2019-10-16 10:03:39	ga_s2bm_ard_3-2-1_55KBP_2019-10-16_final
2019-10-16 10:03:39	ga_s2bm_ard_3-2-1_54KZU_2019-10-16_final
2019-10-16 10:03:44	ga_s2bm_ard_3-2-1_54KYU_2019-10-16_final
2019-10-16 10:03:47	ga_s2bm_ard_3-2-1_55JDN_2019-10-16_final
2019-10-16 10:03:51	ga_s2bm_ard_3-2-1_55JCN_2019-10-16_final
2019-10-16 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2019-10-16_final
2019-10-16 10:03:54	ga_s2bm_ard_3-2-1_55JBN_2019-10-16_final
2019-10-16 10:03:57	ga_s2bm_ard_3-2-1_54JYT_2019-10-16_final
2019-10-16 10:04:02	ga_s2bm_ard_3-2-1_55JDM_2019-10-16_final
2019-10-16 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2019-10-16_final
2019-10-16 10:04:08	ga_s2bm_ard_3-2-1_54JZS_2019-10-16_final
2019-10-16 10:04:09	ga_s2bm_ard_3-2-1_55JBM_2019-10-16_final
2019-10-16 10:04:12	ga_s2bm_ard_3-2-1_54JYS_2019-10-16_final
2019-10-16 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2019-10-16_final
2019-10-16 10:04:16	ga_s2bm_ard_3-2-1_55JCL_2019-10-16_final
2019-10-16 10:04:18	ga_s2bm_ard_3-2-1_55JBL_2019-10-16_final
2019-10-16 10:04:19	ga_s2bm_ard_3-2-1_54JYS_2019-10-16_final
2019-10-16 10:04:20	ga_s2bm_ard_3-2-1_55JDL_2019-10-16_final
2019-10-16 10:04:23	ga_s2bm_ard_3-2-1_55JCL_2019-10-16_final
2019-10-16 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2019-10-16_final
2019-10-16 10:04:25	ga_s2bm_ard_3-2-1_55JDK_2019-10-16_final
2019-10-16 10:04:34	ga_s2bm_ard_3-2-1_54JXR_2019-10-16_final
2019-10-16 10:04:34	ga_s2bm_ard_3-2-1_55JCK_2019-10-16_final
2019-10-16 10:04:38	ga_s2bm_ard_3-2-1_55JBK_2019-10-16_final
2019-10-16 10:04:41	ga_s2bm_ard_3-2-1_54JYQ_2019-10-16_final
2019-10-16 10:04:49	ga_s2bm_ard_3-2-1_55JCJ_2019-10-16_final
2019-10-16 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2019-10-16_final
2019-10-16 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-16_final
2019-10-16 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2019-10-16_final
2019-10-16 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2019-10-16_final
2019-10-16 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2019-10-16_final
2019-10-16 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2019-10-16_final
2019-10-16 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2019-10-16_final
2019-10-16 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2019-10-16_final
2019-10-16 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2019-10-16_final
2019-10-16 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2019-10-16_final
2019-10-16 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2019-10-16_final
2019-10-16 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2019-10-16_final
2019-10-16 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2019-10-16_final
2019-10-16 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2019-10-16_final
2019-10-16 11:44:07	ga_s2bm_ard_3-2-1_50KQV_2019-10-16_final
2019-10-16 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2019-10-16_final
2019-10-16 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2019-10-16_final
2019-10-16 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2019-10-16_final
2019-10-16 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2019-10-16_final
2019-10-16 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2019-10-16_final
2019-10-16 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2019-10-16_final
2019-10-16 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2019-10-16_final
2019-10-16 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2019-10-16_final
2019-10-16 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2019-10-16_final
2019-10-16 11:44:28	ga_s2bm_ard_3-2-1_50KQU_2019-10-16_final
2019-10-16 11:44:28	ga_s2bm_ard_3-2-1_50JQT_2019-10-16_final
2019-10-16 11:44:29	ga_s2bm_ard_3-2-1_50JPT_2019-10-16_final
2019-10-16 11:44:29	ga_s2bm_ard_3-2-1_50KPU_2019-10-16_final
2019-10-16 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2019-10-16_final
2019-10-16 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2019-10-16_final
2019-10-16 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2019-10-16_final
2019-10-16 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2019-10-16_final
2019-10-16 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2019-10-16_final
2019-10-16 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2019-10-16_final
2019-10-16 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2019-10-16_final
2019-10-16 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2019-10-16_final
2019-10-16 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2019-10-16_final
2019-10-16 11:44:52	ga_s2bm_ard_3-2-1_51JUL_2019-10-16_final
2019-10-16 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2019-10-16_final
2019-10-16 11:45:01	ga_s2bm_ard_3-2-1_51JTL_2019-10-16_final
2019-10-16 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2019-10-16_final
2019-10-16 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2019-10-16_final
2019-10-16 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2019-10-16_final
2019-10-16 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2019-10-16_final
2019-10-16 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2019-10-16_final
2019-10-16 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2019-10-16_final
2019-10-16 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2019-10-16_final
2019-10-16 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2019-10-16_final
2019-10-16 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2019-10-16_final

Return to ga_s2bm_ard_3 on 16th October 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

October

16th