Search ga_s2bm_ard_3 across 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
2019-01-20 09:36:17	ga_s2bm_ard_3-2-1_55HFC_2019-01-20_final
2019-01-20 09:36:22	ga_s2bm_ard_3-2-1_56HLG_2019-01-20_final
2019-01-20 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-01-20_final
2019-01-20 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2019-01-20_final
2019-01-20 09:36:31	ga_s2bm_ard_3-2-1_55HFB_2019-01-20_final
2019-01-20 09:36:40	ga_s2bm_ard_3-2-1_56HKF_2019-01-20_final
2019-01-20 09:36:42	ga_s2bm_ard_3-2-1_55HGA_2019-01-20_final
2019-01-20 09:36:46	ga_s2bm_ard_3-2-1_55HFA_2019-01-20_final
2019-01-20 09:36:50	ga_s2bm_ard_3-2-1_55HEA_2019-01-20_final
2019-01-20 09:36:56	ga_s2bm_ard_3-2-1_55HGV_2019-01-20_final
2019-01-20 09:37:00	ga_s2bm_ard_3-2-1_55HFV_2019-01-20_final
2019-01-20 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2019-01-20_final
2019-01-20 09:37:11	ga_s2bm_ard_3-2-1_55HGU_2019-01-20_final
2019-01-20 09:37:15	ga_s2bm_ard_3-2-1_55HFU_2019-01-20_final
2019-01-20 09:37:18	ga_s2bm_ard_3-2-1_55HEU_2019-01-20_final
2019-01-20 09:37:33	ga_s2bm_ard_3-2-1_55HET_2019-01-20_final
2019-01-20 09:37:40	ga_s2bm_ard_3-2-1_55HDT_2019-01-20_final
2019-01-20 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2019-01-20_final
2019-01-20 09:37:47	ga_s2bm_ard_3-2-1_55HES_2019-01-20_final
2019-01-20 09:37:51	ga_s2bm_ard_3-2-1_55HDS_2019-01-20_final
2019-01-20 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-01-20_final
2019-01-20 09:38:02	ga_s2bm_ard_3-2-1_55GER_2019-01-20_final
2019-01-20 09:38:05	ga_s2bm_ard_3-2-1_55GDR_2019-01-20_final
2019-01-20 09:38:12	ga_s2bm_ard_3-2-1_55GFQ_2019-01-20_final
2019-01-20 09:38:16	ga_s2bm_ard_3-2-1_55GEQ_2019-01-20_final
2019-01-20 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2019-01-20_final
2019-01-20 09:38:26	ga_s2bm_ard_3-2-1_55GFP_2019-01-20_final
2019-01-20 09:38:31	ga_s2bm_ard_3-2-1_55GEP_2019-01-20_final
2019-01-20 09:38:34	ga_s2bm_ard_3-2-1_55GDP_2019-01-20_final
2019-01-20 09:38:40	ga_s2bm_ard_3-2-1_55GCP_2019-01-20_final
2019-01-20 09:38:41	ga_s2bm_ard_3-2-1_55GFN_2019-01-20_final
2019-01-20 09:38:45	ga_s2bm_ard_3-2-1_55GEN_2019-01-20_final
2019-01-20 09:38:49	ga_s2bm_ard_3-2-1_55GDN_2019-01-20_final
2019-01-20 09:38:52	ga_s2bm_ard_3-2-1_55GCN_2019-01-20_final
2019-01-20 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2019-01-20_final
2019-01-20 09:39:02	ga_s2bm_ard_3-2-1_55GDM_2019-01-20_final
2019-01-20 09:39:04	ga_s2bm_ard_3-2-1_55GCM_2019-01-20_final
2019-01-20 11:10:04	ga_s2bm_ard_3-2-1_53LKJ_2019-01-20_final
2019-01-20 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2019-01-20_final
2019-01-20 11:10:29	ga_s2bm_ard_3-2-1_52LGN_2019-01-20_final
2019-01-20 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2019-01-20_final
2019-01-20 11:10:34	ga_s2bm_ard_3-2-1_52LHM_2019-01-20_final
2019-01-20 11:10:36	ga_s2bm_ard_3-2-1_52LGN_2019-01-20_final
2019-01-20 11:10:36	ga_s2bm_ard_3-2-1_52LGM_2019-01-20_final
2019-01-20 11:10:36	ga_s2bm_ard_3-2-1_52LFM_2019-01-20_final
2019-01-20 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2019-01-20_final
2019-01-20 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2019-01-20_final
2019-01-20 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-01-20_final
2019-01-20 11:10:47	ga_s2bm_ard_3-2-1_52LFM_2019-01-20_final
2019-01-20 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2019-01-20_final
2019-01-20 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2019-01-20_final
2019-01-20 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2019-01-20_final
2019-03-23 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2019-03-23_final
2019-03-23 11:53:46	ga_s2bm_ard_3-2-1_50KQA_2019-03-23_final
2019-03-23 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-03-23_final
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final
2019-03-23 11:53:56	ga_s2bm_ard_3-2-1_50KMA_2019-03-23_final
2019-03-23 11:54:01	ga_s2bm_ard_3-2-1_50KQV_2019-03-23_final
2019-03-23 11:54:05	ga_s2bm_ard_3-2-1_50KPV_2019-03-23_final
2019-03-23 11:54:08	ga_s2bm_ard_3-2-1_50KNV_2019-03-23_final
2019-03-23 11:54:11	ga_s2bm_ard_3-2-1_50KMV_2019-03-23_final
2019-03-23 11:54:13	ga_s2bm_ard_3-2-1_50KQU_2019-03-23_final
2019-03-23 11:54:19	ga_s2bm_ard_3-2-1_50KPU_2019-03-23_final
2019-03-23 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2019-03-23_final
2019-03-23 11:54:23	ga_s2bm_ard_3-2-1_50JQT_2019-03-23_final
2019-03-23 11:54:26	ga_s2bm_ard_3-2-1_50KMU_2019-03-23_final
2019-03-23 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-03-23_final
2019-03-23 11:54:33	ga_s2bm_ard_3-2-1_50KLU_2019-03-23_final
2019-03-23 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2019-03-23_final
2019-03-23 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2019-03-23_final
2019-03-23 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-03-23_final
2019-03-23 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2019-03-23_final
2019-03-23 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2019-03-23_final
2019-03-23 11:54:48	ga_s2bm_ard_3-2-1_50JMT_2019-03-23_final
2019-03-23 11:54:49	ga_s2bm_ard_3-2-1_50JMS_2019-03-23_final
2019-03-23 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2019-03-23_final
2019-03-23 11:54:50	ga_s2bm_ard_3-2-1_50JLS_2019-03-23_final
2019-03-23 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2019-03-23_final
2019-03-23 11:54:54	ga_s2bm_ard_3-2-1_50JNS_2019-03-23_final
2019-03-23 11:54:55	ga_s2bm_ard_3-2-1_50JMS_2019-03-23_final
2019-03-23 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2019-03-23_final
2019-03-23 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2019-03-23_final
2019-03-23 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2019-03-23_final
2019-03-23 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-03-23_final
2019-03-23 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2019-03-23_final
2019-03-23 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2019-03-23_final
2019-03-23 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2019-03-23_final
2019-03-23 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-03-23_final
2019-03-23 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2019-03-23_final
2019-03-23 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2019-03-23_final
2019-03-23 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2019-03-23_final
2019-03-23 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2019-03-23_final
2019-03-23 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-03-23_final
2019-03-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-03-23_final
2019-03-23 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2019-03-23_final
2019-03-23 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-03-23_final
2019-03-23 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2019-03-23_final
2019-03-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-03-23_final
2019-03-23 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-03-23_final
2019-03-23 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-03-23_final

Return to ga_s2bm_ard_3 across 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

All months