Search ga_s2bm_ard_3 on 15th May 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
2019-05-15 10:19:46	ga_s2bm_ard_3-2-1_54LZQ_2019-05-15_final
2019-05-15 10:19:50	ga_s2bm_ard_3-2-1_54LYQ_2019-05-15_final
2019-05-15 10:19:53	ga_s2bm_ard_3-2-1_54LXQ_2019-05-15_final
2019-05-15 10:20:01	ga_s2bm_ard_3-2-1_54LZP_2019-05-15_final
2019-05-15 10:20:04	ga_s2bm_ard_3-2-1_54LYP_2019-05-15_final
2019-05-15 10:20:07	ga_s2bm_ard_3-2-1_54LXP_2019-05-15_final
2019-05-15 10:20:22	ga_s2bm_ard_3-2-1_54LXN_2019-05-15_final
2019-05-15 10:20:27	ga_s2bm_ard_3-2-1_54LWN_2019-05-15_final
2019-05-15 10:20:58	ga_s2bm_ard_3-2-1_54LZK_2019-05-15_final
2019-05-15 10:21:02	ga_s2bm_ard_3-2-1_54LYK_2019-05-15_final
2019-05-15 10:21:05	ga_s2bm_ard_3-2-1_54LXK_2019-05-15_final
2019-05-15 10:21:09	ga_s2bm_ard_3-2-1_54LWK_2019-05-15_final
2019-05-15 10:21:29	ga_s2bm_ard_3-2-1_54LVJ_2019-05-15_final.stac-item
2019-05-15 10:22:00	ga_s2bm_ard_3-2-1_54KYF_2019-05-15_final
2019-05-15 10:22:12	ga_s2bm_ard_3-2-1_54KYE_2019-05-15_final
2019-05-15 10:22:25	ga_s2bm_ard_3-2-1_54KVE_2019-05-15_final
2019-05-15 10:22:32	ga_s2bm_ard_3-2-1_54KUE_2019-05-15_final
2019-05-15 10:22:47	ga_s2bm_ard_3-2-1_54KXC_2019-05-15_final
2019-05-15 10:22:50	ga_s2bm_ard_3-2-1_54KWC_2019-05-15_final
2019-05-15 10:22:54	ga_s2bm_ard_3-2-1_54KVC_2019-05-15_final
2019-05-15 10:22:57	ga_s2bm_ard_3-2-1_54KUC_2019-05-15_final
2019-05-15 10:23:01	ga_s2bm_ard_3-2-1_54KXB_2019-05-15_final
2019-05-15 10:23:05	ga_s2bm_ard_3-2-1_54KWB_2019-05-15_final
2019-05-15 10:23:07	ga_s2bm_ard_3-2-1_54KVB_2019-05-15_final
2019-05-15 10:23:11	ga_s2bm_ard_3-2-1_54KXA_2019-05-15_final
2019-05-15 10:23:13	ga_s2bm_ard_3-2-1_54KWB_2019-05-15_final
2019-05-15 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2019-05-15_final
2019-05-15 10:23:14	ga_s2bm_ard_3-2-1_54KVB_2019-05-15_final
2019-05-15 10:23:14	ga_s2bm_ard_3-2-1_54KVA_2019-05-15_final
2019-05-15 10:23:16	ga_s2bm_ard_3-2-1_54KUB_2019-05-15_final
2019-05-15 10:23:16	ga_s2bm_ard_3-2-1_54KXA_2019-05-15_final
2019-05-15 10:23:20	ga_s2bm_ard_3-2-1_54KWA_2019-05-15_final
2019-05-15 10:23:23	ga_s2bm_ard_3-2-1_54KVA_2019-05-15_final
2019-05-15 10:23:25	ga_s2bm_ard_3-2-1_54KXV_2019-05-15_final
2019-05-15 10:23:26	ga_s2bm_ard_3-2-1_54KUA_2019-05-15_final
2019-05-15 10:23:55	ga_s2bm_ard_3-2-1_54KUU_2019-05-15_final
2019-05-15 10:23:58	ga_s2bm_ard_3-2-1_54KTU_2019-05-15_final
2019-05-15 10:23:59	ga_s2bm_ard_3-2-1_53KRP_2019-05-15_final
2019-05-15 10:24:03	ga_s2bm_ard_3-2-1_54JWT_2019-05-15_final
2019-05-15 10:24:07	ga_s2bm_ard_3-2-1_54JVT_2019-05-15_final
2019-05-15 10:24:13	ga_s2bm_ard_3-2-1_54JTT_2019-05-15_final
2019-05-15 10:24:17	ga_s2bm_ard_3-2-1_54JWS_2019-05-15_final
2019-05-15 10:24:21	ga_s2bm_ard_3-2-1_54JVS_2019-05-15_final
2019-05-15 10:24:24	ga_s2bm_ard_3-2-1_54JUS_2019-05-15_final
2019-05-15 10:24:57	ga_s2bm_ard_3-2-1_54JTQ_2019-05-15_final
2019-05-15 10:25:00	ga_s2bm_ard_3-2-1_53JQK_2019-05-15_final
2019-05-15 10:25:11	ga_s2bm_ard_3-2-1_54JTP_2019-05-15_final
2019-05-15 10:25:14	ga_s2bm_ard_3-2-1_53JQJ_2019-05-15_final
2019-05-15 10:25:44	ga_s2bm_ard_3-2-1_54JVL_2019-05-15_final
2019-05-15 10:25:51	ga_s2bm_ard_3-2-1_54JUL_2019-05-15_final
2019-05-15 10:25:57	ga_s2bm_ard_3-2-1_53JQF_2019-05-15_final
2019-05-15 10:26:01	ga_s2bm_ard_3-2-1_53JPF_2019-05-15_final
2019-05-15 10:26:10	ga_s2bm_ard_3-2-1_54HTK_2019-05-15_final
2019-05-15 10:26:12	ga_s2bm_ard_3-2-1_53HQE_2019-05-15_final
2019-05-15 10:26:21	ga_s2bm_ard_3-2-1_54HUJ_2019-05-15_final
2019-05-15 10:26:24	ga_s2bm_ard_3-2-1_54HTJ_2019-05-15_final
2019-05-15 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-05-15_final
2019-05-15 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-05-15_final
2019-05-15 10:26:39	ga_s2bm_ard_3-2-1_54HTH_2019-05-15_final
2019-05-15 10:26:41	ga_s2bm_ard_3-2-1_53HQC_2019-05-15_final
2019-05-15 10:26:49	ga_s2bm_ard_3-2-1_54HUG_2019-05-15_final
2019-05-15 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-05-15_final
2019-05-15 10:26:53	ga_s2bm_ard_3-2-1_54HTG_2019-05-15_final
2019-05-15 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-05-15_final
2019-05-15 10:26:59	ga_s2bm_ard_3-2-1_53HPB_2019-05-15_final
2019-05-15 10:26:59	ga_s2bm_ard_3-2-1_54HUF_2019-05-15_final
2019-05-15 10:27:02	ga_s2bm_ard_3-2-1_53HNB_2019-05-15_final
2019-05-15 10:27:08	ga_s2bm_ard_3-2-1_54HTF_2019-05-15_final
2019-05-15 10:27:10	ga_s2bm_ard_3-2-1_53HQA_2019-05-15_final
2019-05-15 10:27:13	ga_s2bm_ard_3-2-1_53HPA_2019-05-15_final
2019-05-15 10:27:20	ga_s2bm_ard_3-2-1_54HTE_2019-05-15_final.stac-item
2019-05-15 10:27:21	ga_s2bm_ard_3-2-1_53HQV_2019-05-15_final.stac-item
2019-05-15 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-05-15_final.stac-item
2019-05-15 12:03:28	ga_s2bm_ard_3-2-1_50KNC_2019-05-15_final
2019-05-15 12:03:32	ga_s2bm_ard_3-2-1_50KMC_2019-05-15_final
2019-05-15 12:03:42	ga_s2bm_ard_3-2-1_50KNB_2019-05-15_final
2019-05-15 12:03:46	ga_s2bm_ard_3-2-1_50KMB_2019-05-15_final
2019-05-15 12:03:49	ga_s2bm_ard_3-2-1_50KLB_2019-05-15_final
2019-05-15 12:03:52	ga_s2bm_ard_3-2-1_50KNA_2019-05-15_final
2019-05-15 12:04:00	ga_s2bm_ard_3-2-1_50KMA_2019-05-15_final
2019-05-15 12:04:04	ga_s2bm_ard_3-2-1_50KLA_2019-05-15_final
2019-05-15 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-05-15_final
2019-05-15 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-15_final
2019-05-15 12:04:19	ga_s2bm_ard_3-2-1_50KLV_2019-05-15_final
2019-05-15 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-05-15_final
2019-05-15 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-05-15_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-15_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-15_final
2019-05-15 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-05-15_final
2019-05-15 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-15_final
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-05-15_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-05-15 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2019-05-15_final
2019-05-15 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-05-15_final
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final
2019-05-15 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-05-15_final
2019-05-15 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-05-15 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-05-15 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-15_final
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final

Return to ga_s2bm_ard_3 on 15th May 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

May

15th