Search ga_s2bm_ard_3 whole collection

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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2018-12-20 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2018-12-20_final
2018-12-20 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2018-12-20_final.stac-item
2018-12-20 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2018-12-20_final.stac-item
2018-12-21 09:32:40	ga_s2bm_ard_3-2-1_56KNB_2018-12-21_final.stac-item
2018-12-21 09:32:42	ga_s2bm_ard_3-2-1_56KMB_2018-12-21_final.stac-item
2018-12-21 09:32:44	ga_s2bm_ard_3-2-1_56KLB_2018-12-21_final
2018-12-21 09:32:47	ga_s2bm_ard_3-2-1_56KNA_2018-12-21_final.stac-item
2018-12-21 09:32:51	ga_s2bm_ard_3-2-1_56KMA_2018-12-21_final
2018-12-21 09:32:54	ga_s2bm_ard_3-2-1_56KLA_2018-12-21_final
2018-12-21 09:33:20	ga_s2bm_ard_3-2-1_56KMU_2018-12-21_final
2018-12-21 09:33:23	ga_s2bm_ard_3-2-1_56KLU_2018-12-21_final
2018-12-21 09:33:31	ga_s2bm_ard_3-2-1_56JNT_2018-12-21_final
2018-12-21 09:33:34	ga_s2bm_ard_3-2-1_56JMT_2018-12-21_final
2018-12-21 09:33:38	ga_s2bm_ard_3-2-1_56JLT_2018-12-21_final
2018-12-21 09:33:45	ga_s2bm_ard_3-2-1_56JKT_2018-12-21_final
2018-12-21 09:33:45	ga_s2bm_ard_3-2-1_56JNS_2018-12-21_final
2018-12-21 09:33:49	ga_s2bm_ard_3-2-1_56JMS_2018-12-21_final
2018-12-21 09:33:52	ga_s2bm_ard_3-2-1_56JLS_2018-12-21_final
2018-12-21 09:33:56	ga_s2bm_ard_3-2-1_56JKS_2018-12-21_final
2018-12-21 09:34:00	ga_s2bm_ard_3-2-1_56JNR_2018-12-21_final.stac-item
2018-12-21 09:34:03	ga_s2bm_ard_3-2-1_56JMR_2018-12-21_final
2018-12-21 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2018-12-21_final
2018-12-21 09:34:14	ga_s2bm_ard_3-2-1_56JNQ_2018-12-21_final.stac-item
2018-12-21 09:34:18	ga_s2bm_ard_3-2-1_56JMQ_2018-12-21_final
2018-12-21 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2018-12-21_final.stac-item
2018-12-21 09:34:32	ga_s2bm_ard_3-2-1_56JMP_2018-12-21_final
2018-12-21 09:34:53	ga_s2bm_ard_3-2-1_56JKN_2018-12-21_final
2018-12-21 09:35:01	ga_s2bm_ard_3-2-1_56JMM_2018-12-21_final
2018-12-21 09:35:16	ga_s2bm_ard_3-2-1_56JML_2018-12-21_final
2018-12-21 09:35:48	ga_s2bm_ard_3-2-1_56HLJ_2018-12-21_final
2018-12-21 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2018-12-21_final
2018-12-21 09:36:23	ga_s2bm_ard_3-2-1_55HGB_2018-12-21_final
2018-12-21 09:36:51	ga_s2bm_ard_3-2-1_55HGV_2018-12-21_final
2018-12-21 09:37:28	ga_s2bm_ard_3-2-1_55HET_2018-12-21_final
2018-12-21 09:37:35	ga_s2bm_ard_3-2-1_55HDT_2018-12-21_final
2018-12-21 09:38:00	ga_s2bm_ard_3-2-1_55GDR_2018-12-21_final
2018-12-21 09:38:19	ga_s2bm_ard_3-2-1_55GFP_2018-12-21_final
2018-12-21 09:38:21	ga_s2bm_ard_3-2-1_55GEP_2018-12-21_final
2018-12-21 09:38:23	ga_s2bm_ard_3-2-1_55GDP_2018-12-21_final
2018-12-21 09:38:26	ga_s2bm_ard_3-2-1_55GFP_2018-12-21_final
2018-12-21 09:38:28	ga_s2bm_ard_3-2-1_55GEP_2018-12-21_final
2018-12-21 09:38:30	ga_s2bm_ard_3-2-1_55GDP_2018-12-21_final
2018-12-21 09:38:35	ga_s2bm_ard_3-2-1_55GCP_2018-12-21_final
2018-12-21 09:38:36	ga_s2bm_ard_3-2-1_55GFN_2018-12-21_final
2018-12-21 09:38:40	ga_s2bm_ard_3-2-1_55GEN_2018-12-21_final
2018-12-21 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2018-12-21_final
2018-12-21 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2018-12-21_final.stac-item
2018-12-21 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2018-12-21_final.stac-item
2018-12-21 11:09:59	ga_s2bm_ard_3-2-1_53LKJ_2018-12-21_final.stac-item
2018-12-21 11:10:20	ga_s2bm_ard_3-2-1_52LHN_2018-12-21_final
2018-12-21 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2018-12-21_final
2018-12-21 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2018-12-21_final.stac-item
2018-12-21 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2018-12-21_final
2018-12-21 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2018-12-21_final
2018-12-21 11:10:42	ga_s2bm_ard_3-2-1_52LFM_2018-12-21_final.stac-item
2018-12-21 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2018-12-21_final
2018-12-21 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2018-12-21_final
2018-12-21 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2018-12-21_final.stac-item
2018-12-21 11:11:07	ga_s2bm_ard_3-2-1_52LGK_2018-12-21_final
2018-12-21 11:11:11	ga_s2bm_ard_3-2-1_52LFK_2018-12-21_final
2018-12-21 11:11:14	ga_s2bm_ard_3-2-1_52LEK_2018-12-21_final.stac-item
2018-12-21 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2018-12-21_final
2018-12-21 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2018-12-21_final
2018-12-21 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2018-12-21_final
2018-12-21 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2018-12-21_final
2018-12-21 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2018-12-21_final
2018-12-21 11:12:30	ga_s2bm_ard_3-2-1_52KDE_2018-12-21_final
2018-12-21 11:12:33	ga_s2bm_ard_3-2-1_52KCE_2018-12-21_final
2018-12-21 11:12:41	ga_s2bm_ard_3-2-1_52KED_2018-12-21_final
2018-12-21 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2018-12-21_final
2018-12-21 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2018-12-21_final
2018-12-21 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2018-12-21_final
2018-12-21 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2018-12-21_final
2018-12-21 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2018-12-21_final
2018-12-21 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2018-12-21_final
2018-12-21 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2018-12-21_final
2018-12-21 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2018-12-21_final
2018-12-21 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2018-12-21_final
2018-12-21 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2018-12-21_final
2018-12-21 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2018-12-21_final
2018-12-21 11:14:01	ga_s2bm_ard_3-2-1_52KCU_2018-12-21_final
2018-12-21 11:14:03	ga_s2bm_ard_3-2-1_52JET_2018-12-21_final
2018-12-21 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2018-12-21_final
2018-12-21 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2018-12-21_final
2018-12-21 11:14:16	ga_s2bm_ard_3-2-1_52JCT_2018-12-21_final
2018-12-21 11:14:19	ga_s2bm_ard_3-2-1_52JBT_2018-12-21_final
2018-12-21 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2018-12-21_final
2018-12-21 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2018-12-21_final
2018-12-21 11:14:30	ga_s2bm_ard_3-2-1_52JCS_2018-12-21_final
2018-12-21 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2018-12-21_final
2018-12-21 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2018-12-21_final
2018-12-21 11:14:41	ga_s2bm_ard_3-2-1_52JDR_2018-12-21_final
2018-12-21 11:14:45	ga_s2bm_ard_3-2-1_52JCR_2018-12-21_final
2018-12-21 11:14:55	ga_s2bm_ard_3-2-1_52JDQ_2018-12-21_final
2018-12-21 11:15:13	ga_s2bm_ard_3-2-1_52JCP_2018-12-21_final
2018-12-21 11:15:32	ga_s2bm_ard_3-2-1_52JBN_2018-12-21_final
2018-12-21 11:15:34	ga_s2bm_ard_3-2-1_51JYH_2018-12-21_final
2018-12-21 11:16:15	ga_s2bm_ard_3-2-1_51JWF_2018-12-21_final
2018-12-21 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2018-12-21_final
2018-12-21 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2018-12-21_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years