Search ga_s2bm_ard_3 on 31st August 2020

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
2020-08-31 10:01:21	ga_s2bm_ard_3-2-1_55LEC_2020-08-31_final
2020-08-31 10:02:11	ga_s2bm_ard_3-2-1_55KCV_2020-08-31_final
2020-08-31 10:02:43	ga_s2bm_ard_3-2-1_55KBT_2020-08-31_final
2020-08-31 10:02:45	ga_s2bm_ard_3-2-1_54KZC_2020-08-31_final
2020-08-31 10:03:12	ga_s2bm_ard_3-2-1_55KBR_2020-08-31_final
2020-08-31 10:03:27	ga_s2bm_ard_3-2-1_55KBQ_2020-08-31_final
2020-08-31 10:03:53	ga_s2bm_ard_3-2-1_55JCN_2020-08-31_final
2020-08-31 10:04:10	ga_s2bm_ard_3-2-1_54JZS_2020-08-31_final
2020-08-31 10:04:14	ga_s2bm_ard_3-2-1_54JYS_2020-08-31_final
2020-08-31 10:04:17	ga_s2bm_ard_3-2-1_55JDL_2020-08-31_final
2020-08-31 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2020-08-31_final
2020-08-31 10:04:36	ga_s2bm_ard_3-2-1_54JXR_2020-08-31_final
2020-08-31 10:04:36	ga_s2bm_ard_3-2-1_55JCK_2020-08-31_final
2020-08-31 10:04:40	ga_s2bm_ard_3-2-1_55JBK_2020-08-31_final
2020-08-31 10:04:43	ga_s2bm_ard_3-2-1_54JYQ_2020-08-31_final
2020-08-31 10:04:51	ga_s2bm_ard_3-2-1_55JCJ_2020-08-31_final
2020-08-31 10:05:01	ga_s2bm_ard_3-2-1_54JXP_2020-08-31_final
2020-08-31 10:05:06	ga_s2bm_ard_3-2-1_55JCH_2020-08-31_final
2020-08-31 10:05:15	ga_s2bm_ard_3-2-1_54JXN_2020-08-31_final
2020-08-31 10:05:20	ga_s2bm_ard_3-2-1_55JCG_2020-08-31_final
2020-08-31 10:05:23	ga_s2bm_ard_3-2-1_55JBG_2020-08-31_final
2020-08-31 10:05:26	ga_s2bm_ard_3-2-1_54JYM_2020-08-31_final
2020-08-31 10:05:30	ga_s2bm_ard_3-2-1_54JXM_2020-08-31_final
2020-08-31 10:05:32	ga_s2bm_ard_3-2-1_55JCF_2020-08-31_final
2020-08-31 10:05:36	ga_s2bm_ard_3-2-1_54JWM_2020-08-31_final
2020-08-31 10:05:38	ga_s2bm_ard_3-2-1_55JBF_2020-08-31_final
2020-08-31 10:05:42	ga_s2bm_ard_3-2-1_55HCE_2020-08-31_final
2020-08-31 10:05:44	ga_s2bm_ard_3-2-1_54JXL_2020-08-31_final
2020-08-31 10:05:48	ga_s2bm_ard_3-2-1_54JWL_2020-08-31_final
2020-08-31 10:05:52	ga_s2bm_ard_3-2-1_55HBE_2020-08-31_final
2020-08-31 10:05:59	ga_s2bm_ard_3-2-1_54HXK_2020-08-31_final
2020-08-31 10:06:02	ga_s2bm_ard_3-2-1_54HWK_2020-08-31_final
2020-08-31 10:06:07	ga_s2bm_ard_3-2-1_55HBD_2020-08-31_final
2020-08-31 10:06:09	ga_s2bm_ard_3-2-1_54HYJ_2020-08-31_final
2020-08-31 10:06:13	ga_s2bm_ard_3-2-1_54HXJ_2020-08-31_final
2020-08-31 10:06:17	ga_s2bm_ard_3-2-1_54HWJ_2020-08-31_final
2020-08-31 10:06:26	ga_s2bm_ard_3-2-1_54HXH_2020-08-31_final
2020-08-31 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2020-08-31_final
2020-08-31 10:06:31	ga_s2bm_ard_3-2-1_54HYG_2020-08-31_final
2020-08-31 10:06:33	ga_s2bm_ard_3-2-1_54HXH_2020-08-31_final
2020-08-31 10:06:36	ga_s2bm_ard_3-2-1_55HBB_2020-08-31_final
2020-08-31 10:06:38	ga_s2bm_ard_3-2-1_54HYG_2020-08-31_final
2020-08-31 10:06:46	ga_s2bm_ard_3-2-1_54HWG_2020-08-31_final
2020-08-31 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2020-08-31_final
2020-08-31 10:07:00	ga_s2bm_ard_3-2-1_54HWF_2020-08-31_final
2020-08-31 10:07:06	ga_s2bm_ard_3-2-1_54HYE_2020-08-31_final
2020-08-31 10:07:11	ga_s2bm_ard_3-2-1_54HXE_2020-08-31_final
2020-08-31 10:07:15	ga_s2bm_ard_3-2-1_54HWE_2020-08-31_final
2020-08-31 10:07:17	ga_s2bm_ard_3-2-1_54HYD_2020-08-31_final
2020-08-31 10:07:18	ga_s2bm_ard_3-2-1_54HVE_2020-08-31_final
2020-08-31 10:07:25	ga_s2bm_ard_3-2-1_54HXD_2020-08-31_final
2020-08-31 10:07:29	ga_s2bm_ard_3-2-1_54HWD_2020-08-31_final
2020-08-31 10:07:33	ga_s2bm_ard_3-2-1_54HVD_2020-08-31_final
2020-08-31 10:07:38	ga_s2bm_ard_3-2-1_54HUD_2020-08-31_final.stac-item
2020-08-31 10:07:40	ga_s2bm_ard_3-2-1_54HXC_2020-08-31_final
2020-08-31 10:07:44	ga_s2bm_ard_3-2-1_54HWC_2020-08-31_final
2020-08-31 10:07:47	ga_s2bm_ard_3-2-1_54HVC_2020-08-31_final.stac-item
2020-08-31 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2020-08-31_final.stac-item
2020-08-31 11:41:29	ga_s2bm_ard_3-2-1_51LWE_2020-08-31_final
2020-08-31 11:41:33	ga_s2bm_ard_3-2-1_51LVE_2020-08-31_final
2020-08-31 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2020-08-31_final
2020-08-31 11:41:50	ga_s2bm_ard_3-2-1_51LUD_2020-08-31_final.stac-item
2020-08-31 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2020-08-31_final
2020-08-31 11:42:02	ga_s2bm_ard_3-2-1_51LVC_2020-08-31_final
2020-08-31 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2020-08-31_final
2020-08-31 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-31_final
2020-08-31 11:43:50	ga_s2bm_ard_3-2-1_51KTR_2020-08-31_final
2020-08-31 11:43:54	ga_s2bm_ard_3-2-1_50KQA_2020-08-31_final
2020-08-31 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2020-08-31_final
2020-08-31 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2020-08-31_final
2020-08-31 11:44:54	ga_s2bm_ard_3-2-1_51JUL_2020-08-31_final
2020-08-31 11:45:03	ga_s2bm_ard_3-2-1_51JTL_2020-08-31_final
2020-08-31 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-08-31_final
2020-08-31 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-08-31_final
2020-08-31 11:45:15	ga_s2bm_ard_3-2-1_50JNR_2020-08-31_final
2020-08-31 11:45:17	ga_s2bm_ard_3-2-1_51JTK_2020-08-31_final
2020-08-31 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-08-31_final
2020-08-31 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2020-08-31_final
2020-08-31 11:45:47	ga_s2bm_ard_3-2-1_51JTH_2020-08-31_final
2020-08-31 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2020-08-31_final
2020-08-31 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-08-31_final
2020-08-31 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2020-08-31_final
2020-08-31 11:46:11	ga_s2bm_ard_3-2-1_51JTF_2020-08-31_final
2020-08-31 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-08-31_final
2020-08-31 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-31_final
2020-08-31 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2020-08-31_final
2020-08-31 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-08-31_final
2020-08-31 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-08-31_final
2020-08-31 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-31_final
2020-08-31 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-31_final
2020-08-31 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-31_final
2020-08-31 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-08-31_final
2020-08-31 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-08-31_final
2020-08-31 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-08-31_final
2020-08-31 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2020-08-31_final.stac-item
2020-08-31 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-08-31_final.stac-item
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-08-31_final.stac-item
2020-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2020-08-31_final
2020-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2020-08-31_final.stac-item
2020-08-31 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2020-08-31_final.stac-item

Return to ga_s2bm_ard_3 on 31st August 2020 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

2020

August

31st