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
2019-02-17 12:14:07	ga_s2bm_ard_3-2-1_50KKV_2019-02-17_final
2019-02-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-02-17_final
2019-02-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-02-17_final
2019-02-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-02-17_final
2019-02-17 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2019-02-17_final
2019-02-18 10:02:30	ga_s2bm_ard_3-2-1_55KET_2019-02-18_final
2019-02-18 10:02:33	ga_s2bm_ard_3-2-1_55KDT_2019-02-18_final
2019-02-18 10:02:35	ga_s2bm_ard_3-2-1_55KCT_2019-02-18_final
2019-02-18 10:02:39	ga_s2bm_ard_3-2-1_55KES_2019-02-18_final
2019-02-18 10:02:41	ga_s2bm_ard_3-2-1_55KDT_2019-02-18_final
2019-02-18 10:02:41	ga_s2bm_ard_3-2-1_55KDS_2019-02-18_final
2019-02-18 10:02:42	ga_s2bm_ard_3-2-1_55KCS_2019-02-18_final
2019-02-18 10:02:42	ga_s2bm_ard_3-2-1_55KCT_2019-02-18_final
2019-02-18 10:02:46	ga_s2bm_ard_3-2-1_55KES_2019-02-18_final
2019-02-18 10:02:48	ga_s2bm_ard_3-2-1_55KDS_2019-02-18_final
2019-02-18 10:02:51	ga_s2bm_ard_3-2-1_55KCS_2019-02-18_final
2019-02-18 10:03:09	ga_s2bm_ard_3-2-1_55KEQ_2019-02-18_final
2019-02-18 10:03:23	ga_s2bm_ard_3-2-1_55KBQ_2019-02-18_final
2019-02-18 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2019-02-18_final
2019-02-18 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2019-02-18_final
2019-02-18 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2019-02-18_final
2019-02-18 10:03:56	ga_s2bm_ard_3-2-1_54JYT_2019-02-18_final
2019-02-18 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2019-02-18_final
2019-02-18 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2019-02-18_final
2019-02-18 10:04:18	ga_s2bm_ard_3-2-1_55JCL_2019-02-18_final
2019-02-18 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2019-02-18_final
2019-02-18 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2019-02-18_final
2019-02-18 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2019-02-18_final
2019-02-18 10:04:36	ga_s2bm_ard_3-2-1_55JBK_2019-02-18_final
2019-02-18 10:04:39	ga_s2bm_ard_3-2-1_54JYQ_2019-02-18_final
2019-02-18 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2019-02-18_final
2019-02-18 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2019-02-18_final
2019-02-18 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-02-18_final
2019-02-18 10:05:08	ga_s2bm_ard_3-2-1_54JYN_2019-02-18_final
2019-02-18 10:05:20	ga_s2bm_ard_3-2-1_55JBG_2019-02-18_final
2019-02-18 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2019-02-18_final
2019-02-18 10:05:44	ga_s2bm_ard_3-2-1_54JWL_2019-02-18_final
2019-02-18 10:05:49	ga_s2bm_ard_3-2-1_55HBE_2019-02-18_final
2019-02-18 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2019-02-18_final
2019-02-18 10:05:58	ga_s2bm_ard_3-2-1_54HWK_2019-02-18_final
2019-02-18 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2019-02-18_final
2019-02-18 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2019-02-18_final
2019-02-18 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2019-02-18_final
2019-02-18 10:06:33	ga_s2bm_ard_3-2-1_54HVH_2019-02-18_final
2019-02-18 10:06:38	ga_s2bm_ard_3-2-1_54HXG_2019-02-18_final
2019-02-18 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2019-02-18_final
2019-02-18 10:06:45	ga_s2bm_ard_3-2-1_55HBA_2019-02-18_final
2019-02-18 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2019-02-18_final
2019-02-18 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2019-02-18_final
2019-02-18 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2019-02-18_final
2019-02-18 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2019-02-18_final
2019-02-18 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2019-02-18_final
2019-02-18 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2019-02-18_final
2019-02-18 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2019-02-18_final
2019-02-18 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2019-02-18_final
2019-02-18 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2019-02-18_final
2019-02-18 10:07:21	ga_s2bm_ard_3-2-1_54HXD_2019-02-18_final
2019-02-18 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2019-02-18_final
2019-02-18 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2019-02-18_final
2019-02-18 10:07:34	ga_s2bm_ard_3-2-1_54HUD_2019-02-18_final.stac-item
2019-02-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-02-18_final
2019-02-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-02-18_final
2019-02-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-02-18_final
2019-02-18 11:44:01	ga_s2bm_ard_3-2-1_51KTQ_2019-02-18_final
2019-02-18 11:44:05	ga_s2bm_ard_3-2-1_50KQV_2019-02-18_final
2019-02-18 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-02-18_final
2019-02-18 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2019-02-18_final
2019-02-18 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2019-02-18_final
2019-02-18 11:44:40	ga_s2bm_ard_3-2-1_51JUM_2019-02-18_final
2019-02-18 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2019-02-18_final
2019-02-18 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2019-02-18_final
2019-02-18 11:44:59	ga_s2bm_ard_3-2-1_51JTL_2019-02-18_final
2019-02-18 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2019-02-18_final
2019-02-18 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2019-02-18_final
2019-02-18 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2019-02-18_final
2019-02-18 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-02-18_final
2019-02-18 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2019-02-18_final
2019-02-18 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2019-02-18_final
2019-02-18 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2019-02-18_final
2019-02-18 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2019-02-18_final
2019-02-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2019-02-18_final
2019-02-18 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2019-02-18_final
2019-02-18 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-02-18_final
2019-02-18 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2019-02-18_final
2019-02-18 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2019-02-18_final
2019-02-18 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2019-02-18_final
2019-02-18 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2019-02-18_final
2019-02-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2019-02-18_final
2019-02-18 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2019-02-18_final
2019-02-18 11:46:25	ga_s2bm_ard_3-2-1_50JML_2019-02-18_final
2019-02-18 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-02-18_final
2019-02-18 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-02-18_final
2019-02-18 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final
2019-02-18 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2019-02-18_final
2019-02-18 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final
2019-02-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-02-18_final
2019-02-18 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-02-18_final
2019-02-18 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-02-18_final.stac-item
2019-02-18 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-02-18_final.stac-item
2019-02-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-02-18_final.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

Other products

All years