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
2023-11-05 09:38:05	ga_s2bm_ard_3-2-1_55GER_2023-11-05_final.stac-item
2023-11-05 09:38:48	ga_s2bm_ard_3-2-1_55GEN_2023-11-05_final.stac-item
2023-11-05 09:39:02	ga_s2bm_ard_3-2-1_55GEM_2023-11-05_final.stac-item
2023-11-05 09:39:05	ga_s2bm_ard_3-2-1_55GDM_2023-11-05_final.stac-item
2023-11-05 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2023-11-05_final.stac-item
2023-11-05 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2023-11-05_final.stac-item
2023-11-05 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2023-11-05_final.stac-item
2023-11-05 11:11:33	ga_s2bm_ard_3-2-1_52LFJ_2023-11-05_final.stac-item
2023-11-05 11:11:53	ga_s2bm_ard_3-2-1_52KGG_2023-11-05_final.stac-item
2023-11-05 11:11:54	ga_s2bm_ard_3-2-1_52LDH_2023-11-05_final.stac-item
2023-11-05 11:12:02	ga_s2bm_ard_3-2-1_52KFG_2023-11-05_final.stac-item
2023-11-05 11:12:41	ga_s2bm_ard_3-2-1_52KCE_2023-11-05_final.stac-item
2023-11-05 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2023-11-05_final.stac-item
2023-11-05 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2023-11-05_final.stac-item
2023-11-05 11:12:59	ga_s2bm_ard_3-2-1_52KCD_2023-11-05_final.stac-item
2023-11-05 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2023-11-05_final.stac-item
2023-11-05 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2023-11-05_final.stac-item
2023-11-05 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2023-11-05_final.stac-item
2023-11-05 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2023-11-05_final.stac-item
2023-11-05 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2023-11-05_final.stac-item
2023-11-05 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2023-11-05_final.stac-item
2023-11-05 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2023-11-05_final.stac-item
2023-11-05 11:13:28	ga_s2bm_ard_3-2-1_52KBB_2023-11-05_final.stac-item
2023-11-05 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2023-11-05_final.stac-item
2023-11-05 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2023-11-05_final.stac-item
2023-11-05 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2023-11-05_final.stac-item
2023-11-05 11:13:42	ga_s2bm_ard_3-2-1_52KBA_2023-11-05_final.stac-item
2023-11-05 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2023-11-05_final.stac-item
2023-11-05 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2023-11-05_final.stac-item
2023-11-05 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-11-05_final.stac-item
2023-11-05 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2023-11-05_final.stac-item
2023-11-05 11:14:10	ga_s2bm_ard_3-2-1_52JET_2023-11-05_final.stac-item
2023-11-05 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2023-11-05_final.stac-item
2023-11-05 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2023-11-05_final.stac-item
2023-11-05 11:14:19	ga_s2bm_ard_3-2-1_52JDT_2023-11-05_final.stac-item
2023-11-05 11:14:23	ga_s2bm_ard_3-2-1_52JCT_2023-11-05_final.stac-item
2023-11-05 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2023-11-05_final.stac-item
2023-11-05 11:14:26	ga_s2bm_ard_3-2-1_52JBT_2023-11-05_final.stac-item
2023-11-05 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2023-11-05_final.stac-item
2023-11-05 11:14:34	ga_s2bm_ard_3-2-1_52JDS_2023-11-05_final.stac-item
2023-11-05 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-11-05_final.stac-item
2023-11-05 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2023-11-05_final.stac-item
2023-11-05 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2023-11-05_final.stac-item
2023-11-05 11:14:44	ga_s2bm_ard_3-2-1_51JYM_2023-11-05_final.stac-item
2023-11-05 11:14:49	ga_s2bm_ard_3-2-1_52JDR_2023-11-05_final.stac-item
2023-11-05 11:14:52	ga_s2bm_ard_3-2-1_52JCR_2023-11-05_final.stac-item
2023-11-05 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2023-11-05_final.stac-item
2023-11-05 11:14:58	ga_s2bm_ard_3-2-1_51JYL_2023-11-05_final.stac-item
2023-11-05 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-11-05_final.stac-item
2023-11-05 11:15:07	ga_s2bm_ard_3-2-1_52JCQ_2023-11-05_final.stac-item
2023-11-05 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2023-11-05_final.stac-item
2023-11-05 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2023-11-05_final.stac-item
2023-11-05 11:15:15	ga_s2bm_ard_3-2-1_52JDP_2023-11-05_final.stac-item
2023-11-05 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2023-11-05_final.stac-item
2023-11-05 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2023-11-05_final.stac-item
2023-11-05 11:15:27	ga_s2bm_ard_3-2-1_51JYJ_2023-11-05_final.stac-item
2023-11-05 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2023-11-05_final.stac-item
2023-11-05 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2023-11-05_final.stac-item
2023-11-05 11:15:39	ga_s2bm_ard_3-2-1_52JBN_2023-11-05_final.stac-item
2023-11-05 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2023-11-05_final.stac-item
2023-11-05 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2023-11-05_final.stac-item
2023-11-05 11:15:50	ga_s2bm_ard_3-2-1_52JCM_2023-11-05_final.stac-item
2023-11-05 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2023-11-05_final.stac-item
2023-11-05 11:15:56	ga_s2bm_ard_3-2-1_51JYG_2023-11-05_final.stac-item
2023-11-05 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2023-11-05_final.stac-item
2023-11-05 11:16:05	ga_s2bm_ard_3-2-1_52JCL_2023-11-05_final.stac-item
2023-11-05 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2023-11-05_final.stac-item
2023-11-05 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2023-11-05_final.stac-item
2023-11-05 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2023-11-05_final.stac-item
2023-11-05 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2023-11-05_final.stac-item
2023-11-05 11:16:22	ga_s2bm_ard_3-2-1_51JWF_2023-11-05_final.stac-item
2023-11-05 11:16:23	ga_s2bm_ard_3-2-1_52HBK_2023-11-05_final.stac-item
2023-11-05 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-11-05_final.stac-item
2023-11-05 11:16:29	ga_s2bm_ard_3-2-1_51HXE_2023-11-05_final.stac-item
2023-11-05 11:16:33	ga_s2bm_ard_3-2-1_51HWE_2023-11-05_final.stac-item
2023-11-05 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2023-11-05_final.stac-item
2023-11-05 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2023-11-05_final.stac-item
2023-11-05 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2023-11-05_final.stac-item
2023-11-05 11:16:58	ga_s2bm_ard_3-2-1_51HXC_2023-11-05_final.stac-item
2023-11-05 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2023-11-05_final.stac-item
2023-11-05 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2023-11-05_final.stac-item
2023-11-05 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2023-11-05_final.stac-item
2023-11-15 11:16:49	ga_s2bm_ard_3-2-1_52HBH_2023-11-15_nrt.stac-item
2023-11-15 11:17:01	ga_s2bm_ard_3-2-1_52HBG_2023-11-15_nrt.stac-item
2023-11-15 11:17:02	ga_s2bm_ard_3-2-1_51HYB_2023-11-15_nrt.stac-item
2023-11-16 10:40:02	ga_s2bm_ard_3-2-1_54LTP_2023-11-16_nrt.stac-item
2023-11-16 10:40:03	ga_s2bm_ard_3-2-1_53LRJ_2023-11-16_nrt.stac-item
2023-11-16 10:40:07	ga_s2bm_ard_3-2-1_53LQJ_2023-11-16_nrt.stac-item
2023-11-16 10:40:16	ga_s2bm_ard_3-2-1_54LTN_2023-11-16_nrt.stac-item
2023-11-16 10:40:18	ga_s2bm_ard_3-2-1_53LRH_2023-11-16_nrt.stac-item
2023-11-16 10:40:31	ga_s2bm_ard_3-2-1_54LTM_2023-11-16_nrt.stac-item
2023-11-16 10:40:32	ga_s2bm_ard_3-2-1_53LRG_2023-11-16_nrt.stac-item
2023-11-16 10:40:45	ga_s2bm_ard_3-2-1_54LTL_2023-11-16_nrt.stac-item
2023-11-16 10:40:47	ga_s2bm_ard_3-2-1_53LRF_2023-11-16_nrt.stac-item
2023-11-16 10:41:01	ga_s2bm_ard_3-2-1_53LRE_2023-11-16_nrt.stac-item
2023-11-16 10:41:14	ga_s2bm_ard_3-2-1_54LTJ_2023-11-16_nrt.stac-item
2023-11-16 10:41:29	ga_s2bm_ard_3-2-1_54LTH_2023-11-16_nrt.stac-item
2023-11-16 10:46:28	ga_s2bm_ard_3-2-1_52HGJ_2023-11-16_nrt.stac-item
2023-11-16 10:46:33	ga_s2bm_ard_3-2-1_53HLC_2023-11-16_nrt.stac-item
2023-11-16 10:46:34	ga_s2bm_ard_3-2-1_52HFJ_2023-11-16_nrt.stac-item

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

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