Search ga_s2bm_ard_3 on 25th 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
2019-11-25 10:01:08	ga_s2bm_ard_3-2-1_55LCD_2019-11-25_final
2019-11-25 10:01:14	ga_s2bm_ard_3-2-1_55LEC_2019-11-25_final
2019-11-25 10:01:39	ga_s2bm_ard_3-2-1_55KFA_2019-11-25_final
2019-11-25 10:01:47	ga_s2bm_ard_3-2-1_55KDA_2019-11-25_final
2019-11-25 10:01:50	ga_s2bm_ard_3-2-1_55KCA_2019-11-25_final
2019-11-25 10:01:57	ga_s2bm_ard_3-2-1_55KEV_2019-11-25_final
2019-11-25 10:02:01	ga_s2bm_ard_3-2-1_55KDV_2019-11-25_final
2019-11-25 10:02:02	ga_s2bm_ard_3-2-1_55KFU_2019-11-25_final
2019-11-25 10:02:12	ga_s2bm_ard_3-2-1_55KEU_2019-11-25_final
2019-11-25 10:02:19	ga_s2bm_ard_3-2-1_55KCU_2019-11-25_final
2019-11-25 10:02:23	ga_s2bm_ard_3-2-1_55KBU_2019-11-25_final
2019-11-25 10:02:36	ga_s2bm_ard_3-2-1_55KBT_2019-11-25_final
2019-11-25 10:02:38	ga_s2bm_ard_3-2-1_54KZC_2019-11-25_final
2019-11-25 10:02:51	ga_s2bm_ard_3-2-1_55KBS_2019-11-25_final
2019-11-25 10:02:51	ga_s2bm_ard_3-2-1_54KZB_2019-11-25_final
2019-11-25 10:03:06	ga_s2bm_ard_3-2-1_54KZA_2019-11-25_final
2019-11-25 10:03:35	ga_s2bm_ard_3-2-1_54KZU_2019-11-25_final
2019-11-25 10:03:43	ga_s2bm_ard_3-2-1_55JDN_2019-11-25_final
2019-11-25 10:03:46	ga_s2bm_ard_3-2-1_55JCN_2019-11-25_final
2019-11-25 10:03:49	ga_s2bm_ard_3-2-1_54JZT_2019-11-25_final
2019-11-25 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2019-11-25_final
2019-11-25 10:04:18	ga_s2bm_ard_3-2-1_55JBL_2019-11-25_final
2019-11-25 10:04:20	ga_s2bm_ard_3-2-1_55JDK_2019-11-25_final
2019-11-25 10:04:22	ga_s2bm_ard_3-2-1_54JYR_2019-11-25_final
2019-11-25 10:04:30	ga_s2bm_ard_3-2-1_55JCK_2019-11-25_final
2019-11-25 10:04:33	ga_s2bm_ard_3-2-1_55JBK_2019-11-25_final
2019-11-25 10:04:36	ga_s2bm_ard_3-2-1_54JYQ_2019-11-25_final
2019-11-25 10:04:40	ga_s2bm_ard_3-2-1_54JXQ_2019-11-25_final
2019-11-25 10:04:48	ga_s2bm_ard_3-2-1_55JBJ_2019-11-25_final
2019-11-25 10:04:51	ga_s2bm_ard_3-2-1_54JYP_2019-11-25_final
2019-11-25 10:04:59	ga_s2bm_ard_3-2-1_55JCH_2019-11-25_final
2019-11-25 10:05:02	ga_s2bm_ard_3-2-1_55JBH_2019-11-25_final
2019-11-25 10:05:09	ga_s2bm_ard_3-2-1_54JXN_2019-11-25_final
2019-11-25 10:05:13	ga_s2bm_ard_3-2-1_55JCG_2019-11-25_final
2019-11-25 10:05:15	ga_s2bm_ard_3-2-1_55JBG_2019-11-25_final
2019-11-25 10:05:16	ga_s2bm_ard_3-2-1_54JYM_2019-11-25_final
2019-11-25 10:05:20	ga_s2bm_ard_3-2-1_55JCG_2019-11-25_final
2019-11-25 10:05:20	ga_s2bm_ard_3-2-1_55JCF_2019-11-25_final
2019-11-25 10:05:22	ga_s2bm_ard_3-2-1_55JBG_2019-11-25_final
2019-11-25 10:05:23	ga_s2bm_ard_3-2-1_54JYM_2019-11-25_final
2019-11-25 10:05:36	ga_s2bm_ard_3-2-1_55HCE_2019-11-25_final
2019-11-25 10:05:46	ga_s2bm_ard_3-2-1_55HBE_2019-11-25_final
2019-11-25 10:05:48	ga_s2bm_ard_3-2-1_54HYK_2019-11-25_final
2019-11-25 10:06:21	ga_s2bm_ard_3-2-1_54HXH_2019-11-25_final
2019-11-25 10:06:29	ga_s2bm_ard_3-2-1_55HBB_2019-11-25_final
2019-11-25 10:06:31	ga_s2bm_ard_3-2-1_54HYG_2019-11-25_final
2019-11-25 10:06:35	ga_s2bm_ard_3-2-1_54HXG_2019-11-25_final
2019-11-25 10:06:54	ga_s2bm_ard_3-2-1_54HWF_2019-11-25_final
2019-11-25 10:06:57	ga_s2bm_ard_3-2-1_54HVF_2019-11-25_final
2019-11-25 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2019-11-25_final.stac-item
2019-11-25 11:40:57	ga_s2bm_ard_3-2-1_51LVG_2019-11-25_final
2019-11-25 11:41:12	ga_s2bm_ard_3-2-1_51LVF_2019-11-25_final
2019-11-25 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2019-11-25_final
2019-11-25 11:41:44	ga_s2bm_ard_3-2-1_51LUD_2019-11-25_final.stac-item
2019-11-25 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2019-11-25_final
2019-11-25 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2019-11-25_final
2019-11-25 11:42:18	ga_s2bm_ard_3-2-1_51KWA_2019-11-25_final
2019-11-25 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2019-11-25_final
2019-11-25 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2019-11-25_final
2019-11-25 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2019-11-25_final
2019-11-25 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2019-11-25_final
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-11-25_final
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2019-11-25_final
2019-11-25 11:43:05	ga_s2bm_ard_3-2-1_50KQD_2019-11-25_final.stac-item
2019-11-25 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2019-11-25_final
2019-11-25 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2019-11-25_final
2019-11-25 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2019-11-25_final
2019-11-25 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2019-11-25_final
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-11-25 11:43:26	ga_s2bm_ard_3-2-1_51KTS_2019-11-25_final
2019-11-25 11:43:26	ga_s2bm_ard_3-2-1_50KRB_2019-11-25_final
2019-11-25 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2019-11-25_final
2019-11-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-11-25 11:43:32	ga_s2bm_ard_3-2-1_51KTS_2019-11-25_final
2019-11-25 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2019-11-25_final
2019-11-25 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2019-11-25_final
2019-11-25 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2019-11-25_final
2019-11-25 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2019-11-25_final
2019-11-25 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2019-11-25_final
2019-11-25 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2019-11-25_final
2019-11-25 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2019-11-25_final
2019-11-25 11:44:49	ga_s2bm_ard_3-2-1_50JPS_2019-11-25_final
2019-11-25 11:44:56	ga_s2bm_ard_3-2-1_51JTL_2019-11-25_final
2019-11-25 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2019-11-25_final
2019-11-25 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2019-11-25_final
2019-11-25 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2019-11-25_final
2019-11-25 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2019-11-25_final
2019-11-25 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2019-11-25_final
2019-11-25 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2019-11-25_final
2019-11-25 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2019-11-25_final
2019-11-25 11:45:36	ga_s2bm_ard_3-2-1_50JNP_2019-11-25_final
2019-11-25 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2019-11-25_final
2019-11-25 11:45:50	ga_s2bm_ard_3-2-1_50JNN_2019-11-25_final
2019-11-25 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2019-11-25_final
2019-11-25 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2019-11-25_final
2019-11-25 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2019-11-25_final
2019-11-25 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2019-11-25_final
2019-11-25 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2019-11-25_final
2019-11-25 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2019-11-25_final
2019-11-25 11:47:13	ga_s2bm_ard_3-2-1_50HPG_2019-11-25_final.stac-item

Return to ga_s2bm_ard_3 on 25th 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

25th