Search ga_s2bm_ard_3 on 2nd December 2023

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
2023-12-02 09:22:37	ga_s2bm_ard_3-2-1_56KPB_2023-12-01_final
2023-12-02 09:23:37	ga_s2bm_ard_3-2-1_56JNT_2023-12-01_final
2023-12-02 09:23:51	ga_s2bm_ard_3-2-1_56JNS_2023-12-01_final
2023-12-02 09:24:06	ga_s2bm_ard_3-2-1_56JNR_2023-12-01_final
2023-12-02 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2023-12-01_final
2023-12-02 09:24:25	ga_s2bm_ard_3-2-1_56JMQ_2023-12-01_final
2023-12-02 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2023-12-01_final
2023-12-02 09:24:38	ga_s2bm_ard_3-2-1_56JMP_2023-12-01_final
2023-12-02 09:24:50	ga_s2bm_ard_3-2-1_56JNN_2023-12-01_final
2023-12-02 09:24:53	ga_s2bm_ard_3-2-1_56JMN_2023-12-01_final
2023-12-02 09:25:04	ga_s2bm_ard_3-2-1_56JNM_2023-12-01_final
2023-12-02 09:25:08	ga_s2bm_ard_3-2-1_56JMM_2023-12-01_final
2023-12-02 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2023-12-01_final
2023-12-02 09:25:22	ga_s2bm_ard_3-2-1_56JML_2023-12-01_final
2023-12-02 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2023-12-01_final
2023-12-02 09:25:37	ga_s2bm_ard_3-2-1_56HMK_2023-12-01_final
2023-12-02 09:25:40	ga_s2bm_ard_3-2-1_56HLK_2023-12-01_final
2023-12-02 09:25:51	ga_s2bm_ard_3-2-1_56HMJ_2023-12-01_final
2023-12-02 09:25:54	ga_s2bm_ard_3-2-1_56HLJ_2023-12-01_final
2023-12-02 09:26:09	ga_s2bm_ard_3-2-1_56HLH_2023-12-01_final
2023-12-02 09:26:24	ga_s2bm_ard_3-2-1_56HLG_2023-12-01_final
2023-12-02 09:26:29	ga_s2bm_ard_3-2-1_56HKG_2023-12-01_final
2023-12-02 09:26:41	ga_s2bm_ard_3-2-1_56HKF_2023-12-01_final
2023-12-02 09:26:58	ga_s2bm_ard_3-2-1_55HGV_2023-12-01_final
2023-12-02 09:27:11	ga_s2bm_ard_3-2-1_55HGU_2023-12-01_final
2023-12-02 09:27:46	ga_s2bm_ard_3-2-1_55HFS_2023-12-01_final
2023-12-02 09:27:58	ga_s2bm_ard_3-2-1_55GFR_2023-12-01_final
2023-12-02 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2023-12-01_final
2023-12-02 09:28:28	ga_s2bm_ard_3-2-1_55GFP_2023-12-01_final
2023-12-02 09:28:35	ga_s2bm_ard_3-2-1_55GEP_2023-12-01_final
2023-12-02 09:28:41	ga_s2bm_ard_3-2-1_55GFN_2023-12-01_final
2023-12-02 09:28:44	ga_s2bm_ard_3-2-1_55GEN_2023-12-01_final
2023-12-02 09:28:48	ga_s2bm_ard_3-2-1_55GFN_2023-12-01_final
2023-12-02 09:28:50	ga_s2bm_ard_3-2-1_55GEN_2023-12-01_final
2023-12-02 09:28:56	ga_s2bm_ard_3-2-1_55GEM_2023-12-01_final
2023-12-02 11:00:11	ga_s2bm_ard_3-2-1_53LKJ_2023-12-02_final
2023-12-02 11:00:19	ga_s2bm_ard_3-2-1_53LMH_2023-12-02_final
2023-12-02 11:00:23	ga_s2bm_ard_3-2-1_53LLH_2023-12-02_final
2023-12-02 11:00:26	ga_s2bm_ard_3-2-1_53LKH_2023-12-02_final
2023-12-02 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2023-12-02_final
2023-12-02 11:00:33	ga_s2bm_ard_3-2-1_53LMG_2023-12-02_final
2023-12-02 11:00:34	ga_s2bm_ard_3-2-1_52LGN_2023-12-02_final
2023-12-02 11:00:37	ga_s2bm_ard_3-2-1_53LLG_2023-12-02_final
2023-12-02 11:00:40	ga_s2bm_ard_3-2-1_53LKG_2023-12-02_final
2023-12-02 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2023-12-02_final
2023-12-02 11:00:46	ga_s2bm_ard_3-2-1_53LMF_2023-12-02_final
2023-12-02 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2023-12-02_final
2023-12-02 11:00:51	ga_s2bm_ard_3-2-1_53LLF_2023-12-02_final
2023-12-02 11:00:55	ga_s2bm_ard_3-2-1_53LKF_2023-12-02_final
2023-12-02 11:00:55	ga_s2bm_ard_3-2-1_53LME_2023-12-02_final
2023-12-02 11:00:56	ga_s2bm_ard_3-2-1_52LHL_2023-12-02_final
2023-12-02 11:00:59	ga_s2bm_ard_3-2-1_52LGL_2023-12-02_final
2023-12-02 11:01:06	ga_s2bm_ard_3-2-1_53LLE_2023-12-02_final
2023-12-02 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2023-12-02_final
2023-12-02 11:01:11	ga_s2bm_ard_3-2-1_52LHK_2023-12-02_final
2023-12-02 11:01:14	ga_s2bm_ard_3-2-1_52LGK_2023-12-02_final
2023-12-02 11:01:21	ga_s2bm_ard_3-2-1_53LLD_2023-12-02_final
2023-12-02 11:01:24	ga_s2bm_ard_3-2-1_53LKD_2023-12-02_final
2023-12-02 11:01:25	ga_s2bm_ard_3-2-1_52LHJ_2023-12-02_final
2023-12-02 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2023-12-02_final
2023-12-02 11:01:35	ga_s2bm_ard_3-2-1_53LLC_2023-12-02_final
2023-12-02 11:01:36	ga_s2bm_ard_3-2-1_52LFJ_2023-12-02_final
2023-12-02 11:01:39	ga_s2bm_ard_3-2-1_53LKC_2023-12-02_final
2023-12-02 11:01:40	ga_s2bm_ard_3-2-1_52LHH_2023-12-02_final
2023-12-02 11:01:43	ga_s2bm_ard_3-2-1_52LGH_2023-12-02_final
2023-12-02 11:01:47	ga_s2bm_ard_3-2-1_52LFH_2023-12-02_final
2023-12-02 11:01:49	ga_s2bm_ard_3-2-1_53KLB_2023-12-02_final
2023-12-02 11:01:53	ga_s2bm_ard_3-2-1_53KKB_2023-12-02_final
2023-12-02 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2023-12-02_final
2023-12-02 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2023-12-02_final
2023-12-02 11:02:00	ga_s2bm_ard_3-2-1_53KLA_2023-12-02_final
2023-12-02 11:02:01	ga_s2bm_ard_3-2-1_52KFG_2023-12-02_final
2023-12-02 11:02:07	ga_s2bm_ard_3-2-1_53KKA_2023-12-02_final
2023-12-02 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2023-12-02_final
2023-12-02 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2023-12-02_final
2023-12-02 11:02:15	ga_s2bm_ard_3-2-1_52KFF_2023-12-02_final
2023-12-02 11:02:22	ga_s2bm_ard_3-2-1_53KKV_2023-12-02_final
2023-12-02 11:02:23	ga_s2bm_ard_3-2-1_52KHE_2023-12-02_final
2023-12-02 11:02:27	ga_s2bm_ard_3-2-1_52KGE_2023-12-02_final
2023-12-02 11:02:30	ga_s2bm_ard_3-2-1_52KFE_2023-12-02_final
2023-12-02 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2023-12-02_final
2023-12-02 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2023-12-02_final
2023-12-02 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2023-12-02_final
2023-12-02 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2023-12-02_final
2023-12-02 11:02:46	ga_s2bm_ard_3-2-1_52KED_2023-12-02_final
2023-12-02 11:02:47	ga_s2bm_ard_3-2-1_52KHC_2023-12-02_final
2023-12-02 11:02:47	ga_s2bm_ard_3-2-1_53KKT_2023-12-02_final
2023-12-02 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2023-12-02_final
2023-12-02 11:02:48	ga_s2bm_ard_3-2-1_52KGC_2023-12-02_final
2023-12-02 11:02:50	ga_s2bm_ard_3-2-1_52KFC_2023-12-02_final
2023-12-02 11:02:50	ga_s2bm_ard_3-2-1_52KFD_2023-12-02_final
2023-12-02 11:02:52	ga_s2bm_ard_3-2-1_52KED_2023-12-02_final
2023-12-02 11:02:53	ga_s2bm_ard_3-2-1_53KKT_2023-12-02_final
2023-12-02 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-12-02_final
2023-12-02 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2023-12-02_final
2023-12-02 11:05:57	ga_s2bm_ard_3-2-1_52JDL_2023-12-02_final
2023-12-02 11:06:00	ga_s2bm_ard_3-2-1_52JBL_2023-12-02_final
2023-12-02 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2023-12-02_final
2023-12-02 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2023-12-02_final
2023-12-02 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2023-12-02_final

Return to ga_s2bm_ard_3 on 2nd December 2023 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

2023

December

2nd