Search ga_s2bm_ard_3 on 5th November 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 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
2019-11-05 10:01:12	ga_s2bm_ard_3-2-1_55LCD_2019-11-05_final
2019-11-05 10:01:18	ga_s2bm_ard_3-2-1_55LEC_2019-11-05_final
2019-11-05 10:01:29	ga_s2bm_ard_3-2-1_55KFB_2019-11-05_final
2019-11-05 10:01:32	ga_s2bm_ard_3-2-1_55KEB_2019-11-05_final
2019-11-05 10:01:35	ga_s2bm_ard_3-2-1_55KDB_2019-11-05_final
2019-11-05 10:01:38	ga_s2bm_ard_3-2-1_55KCB_2019-11-05_final
2019-11-05 10:01:43	ga_s2bm_ard_3-2-1_55KFA_2019-11-05_final
2019-11-05 10:01:50	ga_s2bm_ard_3-2-1_55KDA_2019-11-05_final
2019-11-05 10:01:53	ga_s2bm_ard_3-2-1_55KCA_2019-11-05_final
2019-11-05 10:02:01	ga_s2bm_ard_3-2-1_55KEV_2019-11-05_final
2019-11-05 10:02:05	ga_s2bm_ard_3-2-1_55KDV_2019-11-05_final
2019-11-05 10:02:05	ga_s2bm_ard_3-2-1_55KFU_2019-11-05_final
2019-11-05 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2019-11-05_final
2019-11-05 10:02:19	ga_s2bm_ard_3-2-1_55KDU_2019-11-05_final
2019-11-05 10:02:22	ga_s2bm_ard_3-2-1_55KCU_2019-11-05_final
2019-11-05 10:03:09	ga_s2bm_ard_3-2-1_55KEQ_2019-11-05_final
2019-11-05 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2019-11-05_final
2019-11-05 10:03:17	ga_s2bm_ard_3-2-1_55KDQ_2019-11-05_final
2019-11-05 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2019-11-05_final
2019-11-05 10:03:32	ga_s2bm_ard_3-2-1_55KDP_2019-11-05_final
2019-11-05 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2019-11-05_final
2019-11-05 10:03:44	ga_s2bm_ard_3-2-1_55JDN_2019-11-05_final
2019-11-05 10:03:48	ga_s2bm_ard_3-2-1_54JZT_2019-11-05_final
2019-11-05 10:03:51	ga_s2bm_ard_3-2-1_55JDN_2019-11-05_final
2019-11-05 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2019-11-05_final
2019-11-05 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2019-11-05_final
2019-11-05 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2019-11-05_final
2019-11-05 10:04:19	ga_s2bm_ard_3-2-1_55JCL_2019-11-05_final
2019-11-05 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2019-11-05_final
2019-11-05 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2019-11-05_final
2019-11-05 10:04:33	ga_s2bm_ard_3-2-1_54JXR_2019-11-05_final
2019-11-05 10:04:37	ga_s2bm_ard_3-2-1_55JBK_2019-11-05_final
2019-11-05 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2019-11-05_final
2019-11-05 10:04:44	ga_s2bm_ard_3-2-1_54JXQ_2019-11-05_final
2019-11-05 10:04:48	ga_s2bm_ard_3-2-1_55JCJ_2019-11-05_final
2019-11-05 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2019-11-05_final
2019-11-05 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2019-11-05_final
2019-11-05 10:05:09	ga_s2bm_ard_3-2-1_54JYN_2019-11-05_final
2019-11-05 10:05:27	ga_s2bm_ard_3-2-1_54JXM_2019-11-05_final
2019-11-05 10:05:29	ga_s2bm_ard_3-2-1_55JCF_2019-11-05_final
2019-11-05 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2019-11-05_final
2019-11-05 10:05:35	ga_s2bm_ard_3-2-1_55JBF_2019-11-05_final
2019-11-05 10:05:37	ga_s2bm_ard_3-2-1_54JYL_2019-11-05_final
2019-11-05 10:05:39	ga_s2bm_ard_3-2-1_55HCE_2019-11-05_final
2019-11-05 10:05:41	ga_s2bm_ard_3-2-1_54JXL_2019-11-05_final
2019-11-05 10:05:49	ga_s2bm_ard_3-2-1_55HBE_2019-11-05_final
2019-11-05 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2019-11-05_final
2019-11-05 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2019-11-05_final
2019-11-05 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2019-11-05_final
2019-11-05 10:06:46	ga_s2bm_ard_3-2-1_55HBA_2019-11-05_final
2019-11-05 10:06:50	ga_s2bm_ard_3-2-1_54HYF_2019-11-05_final
2019-11-05 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2019-11-05_final
2019-11-05 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2019-11-05_final
2019-11-05 10:07:22	ga_s2bm_ard_3-2-1_54HXD_2019-11-05_final
2019-11-05 10:07:26	ga_s2bm_ard_3-2-1_54HWD_2019-11-05_final
2019-11-05 10:07:30	ga_s2bm_ard_3-2-1_54HVD_2019-11-05_final
2019-11-05 10:07:35	ga_s2bm_ard_3-2-1_54HUD_2019-11-05_final.stac-item
2019-11-05 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2019-11-05_final
2019-11-05 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2019-11-05_final
2019-11-05 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2019-11-05_final
2019-11-05 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2019-11-05_final.stac-item
2019-11-05 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2019-11-05_final
2019-11-05 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-11-05_final
2019-11-05 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-11-05_final
2019-11-05 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2019-11-05_final.stac-item
2019-11-05 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2019-11-05_final
2019-11-05 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-11-05_final
2019-11-05 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2019-11-05_final
2019-11-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-11-05_final
2019-11-05 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-11-05_final
2019-11-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-11-05_final
2019-11-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-11-05_final
2019-11-05 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-11-05_final
2019-11-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-11-05_final
2019-11-05 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-11-05_final
2019-11-05 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2019-11-05_final
2019-11-05 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-11-05_final
2019-11-05 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-11-05_final
2019-11-05 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2019-11-05_final
2019-11-05 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2019-11-05_final
2019-11-05 11:45:00	ga_s2bm_ard_3-2-1_51JTL_2019-11-05_final
2019-11-05 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2019-11-05_final
2019-11-05 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2019-11-05_final
2019-11-05 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2019-11-05_final
2019-11-05 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-11-05_final
2019-11-05 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2019-11-05_final
2019-11-05 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2019-11-05_final
2019-11-05 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2019-11-05_final
2019-11-05 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-11-05_final
2019-11-05 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2019-11-05_final
2019-11-05 11:46:08	ga_s2bm_ard_3-2-1_51JTF_2019-11-05_final
2019-11-05 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2019-11-05_final
2019-11-05 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-11-05_final
2019-11-05 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2019-11-05_final
2019-11-05 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-11-05_final
2019-11-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-11-05_final
2019-11-05 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-11-05_final
2019-11-05 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2019-11-05_final
2019-11-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-11-05_final
2019-11-05 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-11-05_final.stac-item

Return to ga_s2bm_ard_3 on 5th November 2019 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

2019

November

5th