Search ga_s2bm_ard_3 on 10th March 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
2019-03-10 10:01:15	ga_s2bm_ard_3-2-1_55LEC_2019-03-10_final
2019-03-10 10:01:59	ga_s2bm_ard_3-2-1_55KDV_2019-03-10_final
2019-03-10 10:02:04	ga_s2bm_ard_3-2-1_55KEV_2019-03-10_final
2019-03-10 10:02:06	ga_s2bm_ard_3-2-1_55KDV_2019-03-10_final
2019-03-10 10:02:42	ga_s2bm_ard_3-2-1_55KES_2019-03-10_final
2019-03-10 10:02:45	ga_s2bm_ard_3-2-1_55KDS_2019-03-10_final
2019-03-10 10:02:55	ga_s2bm_ard_3-2-1_55KER_2019-03-10_final
2019-03-10 10:03:00	ga_s2bm_ard_3-2-1_55KDR_2019-03-10_final
2019-03-10 10:03:03	ga_s2bm_ard_3-2-1_55KCR_2019-03-10_final
2019-03-10 10:03:06	ga_s2bm_ard_3-2-1_55KEQ_2019-03-10_final
2019-03-10 10:03:14	ga_s2bm_ard_3-2-1_55KDQ_2019-03-10_final
2019-03-10 10:03:29	ga_s2bm_ard_3-2-1_55KDP_2019-03-10_final
2019-03-10 10:03:47	ga_s2bm_ard_3-2-1_55JCN_2019-03-10_final
2019-03-10 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2019-03-10_final
2019-03-10 10:04:11	ga_s2bm_ard_3-2-1_55JDL_2019-03-10_final
2019-03-10 10:04:16	ga_s2bm_ard_3-2-1_55JCL_2019-03-10_final
2019-03-10 10:04:30	ga_s2bm_ard_3-2-1_54JXR_2019-03-10_final
2019-03-10 10:04:30	ga_s2bm_ard_3-2-1_55JCK_2019-03-10_final
2019-03-10 10:04:41	ga_s2bm_ard_3-2-1_54JXQ_2019-03-10_final
2019-03-10 10:04:45	ga_s2bm_ard_3-2-1_55JCJ_2019-03-10_final
2019-03-10 10:04:48	ga_s2bm_ard_3-2-1_55JBJ_2019-03-10_final
2019-03-10 10:04:51	ga_s2bm_ard_3-2-1_54JYP_2019-03-10_final
2019-03-10 10:04:55	ga_s2bm_ard_3-2-1_54JXP_2019-03-10_final
2019-03-10 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2019-03-10_final
2019-03-10 10:05:06	ga_s2bm_ard_3-2-1_54JYN_2019-03-10_final
2019-03-10 10:05:09	ga_s2bm_ard_3-2-1_54JXN_2019-03-10_final
2019-03-10 10:05:27	ga_s2bm_ard_3-2-1_55JCF_2019-03-10_final
2019-03-10 10:05:31	ga_s2bm_ard_3-2-1_54JWM_2019-03-10_final
2019-03-10 10:05:35	ga_s2bm_ard_3-2-1_54JYL_2019-03-10_final
2019-03-10 10:05:36	ga_s2bm_ard_3-2-1_55HCE_2019-03-10_final
2019-03-10 10:05:38	ga_s2bm_ard_3-2-1_54JXL_2019-03-10_final
2019-03-10 10:05:42	ga_s2bm_ard_3-2-1_54JWL_2019-03-10_final
2019-03-10 10:05:49	ga_s2bm_ard_3-2-1_54HYK_2019-03-10_final
2019-03-10 10:05:56	ga_s2bm_ard_3-2-1_54HWK_2019-03-10_final
2019-03-10 10:06:01	ga_s2bm_ard_3-2-1_55HBD_2019-03-10_final
2019-03-10 10:06:03	ga_s2bm_ard_3-2-1_54HYJ_2019-03-10_final
2019-03-10 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2019-03-10_final
2019-03-10 10:06:11	ga_s2bm_ard_3-2-1_54HWJ_2019-03-10_final
2019-03-10 10:06:16	ga_s2bm_ard_3-2-1_55HBC_2019-03-10_final
2019-03-10 10:06:18	ga_s2bm_ard_3-2-1_54HYH_2019-03-10_final
2019-03-10 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2019-03-10_final
2019-03-10 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2019-03-10_final
2019-03-10 10:06:31	ga_s2bm_ard_3-2-1_54HVH_2019-03-10_final
2019-03-10 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2019-03-10_final
2019-03-10 10:06:36	ga_s2bm_ard_3-2-1_54HXG_2019-03-10_final
2019-03-10 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2019-03-10_final
2019-03-10 10:06:43	ga_s2bm_ard_3-2-1_55HBA_2019-03-10_final
2019-03-10 10:06:43	ga_s2bm_ard_3-2-1_54HVG_2019-03-10_final
2019-03-10 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2019-03-10_final
2019-03-10 10:06:51	ga_s2bm_ard_3-2-1_54HXF_2019-03-10_final
2019-03-10 10:06:53	ga_s2bm_ard_3-2-1_55HBV_2019-03-10_final
2019-03-10 10:06:54	ga_s2bm_ard_3-2-1_54HWF_2019-03-10_final
2019-03-10 10:06:58	ga_s2bm_ard_3-2-1_54HVF_2019-03-10_final
2019-03-10 10:07:01	ga_s2bm_ard_3-2-1_54HYE_2019-03-10_final
2019-03-10 10:07:05	ga_s2bm_ard_3-2-1_54HXE_2019-03-10_final
2019-03-10 10:07:09	ga_s2bm_ard_3-2-1_54HWE_2019-03-10_final
2019-03-10 10:07:12	ga_s2bm_ard_3-2-1_54HYD_2019-03-10_final
2019-03-10 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2019-03-10_final
2019-03-10 10:07:19	ga_s2bm_ard_3-2-1_54HXD_2019-03-10_final
2019-03-10 10:07:23	ga_s2bm_ard_3-2-1_54HWD_2019-03-10_final
2019-03-10 10:07:27	ga_s2bm_ard_3-2-1_54HVD_2019-03-10_final
2019-03-10 10:07:32	ga_s2bm_ard_3-2-1_54HUD_2019-03-10_final.stac-item
2019-03-10 10:07:41	ga_s2bm_ard_3-2-1_54HVC_2019-03-10_final.stac-item
2019-03-10 11:41:12	ga_s2bm_ard_3-2-1_51LVF_2019-03-10_final
2019-03-10 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2019-03-10_final
2019-03-10 11:41:36	ga_s2bm_ard_3-2-1_51LUD_2019-03-10_final.stac-item
2019-03-10 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2019-03-10_final
2019-03-10 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2019-03-10_final
2019-03-10 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2019-03-10_final
2019-03-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2019-03-10_final
2019-03-10 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2019-03-10_final
2019-03-10 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2019-03-10_final
2019-03-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2019-03-10_final
2019-03-10 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2019-03-10_final
2019-03-10 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2019-03-10_final
2019-03-10 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2019-03-10_final
2019-03-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2019-03-10_final
2019-03-10 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2019-03-10_final
2019-03-10 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2019-03-10_final
2019-03-10 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2019-03-10_final
2019-03-10 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2019-03-10_final
2019-03-10 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2019-03-10_final
2019-03-10 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2019-03-10_final
2019-03-10 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2019-03-10_final
2019-03-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2019-03-10_final
2019-03-10 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2019-03-10_final
2019-03-10 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2019-03-10_final
2019-03-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2019-03-10_final
2019-03-10 11:46:23	ga_s2bm_ard_3-2-1_50JML_2019-03-10_final
2019-03-10 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2019-03-10_final
2019-03-10 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-03-10_final
2019-03-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2019-03-10_final
2019-03-10 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2019-03-10_final
2019-03-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2019-03-10_final
2019-03-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2019-03-10_final
2019-03-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2019-03-10_final
2019-03-10 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2019-03-10_final
2019-03-10 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2019-03-10_final.stac-item
2019-03-10 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2019-03-10_final.stac-item
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item

Return to ga_s2bm_ard_3 on 10th March 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

March

10th