Search ga_s2bm_ard_3 on 10th August 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
2019-08-10 10:10:05	ga_s2bm_ard_3-2-1_54LZP_2019-08-10_final
2019-08-10 10:10:57	ga_s2bm_ard_3-2-1_55LCE_2019-08-10_final
2019-08-10 10:11:00	ga_s2bm_ard_3-2-1_55LBE_2019-08-10_final
2019-08-10 10:11:02	ga_s2bm_ard_3-2-1_54LZK_2019-08-10_final
2019-08-10 10:11:07	ga_s2bm_ard_3-2-1_54LYK_2019-08-10_final
2019-08-10 10:11:26	ga_s2bm_ard_3-2-1_55LCC_2019-08-10_final
2019-08-10 10:11:41	ga_s2bm_ard_3-2-1_55KCB_2019-08-10_final
2019-08-10 10:11:53	ga_s2bm_ard_3-2-1_55KCA_2019-08-10_final
2019-08-10 10:12:00	ga_s2bm_ard_3-2-1_55KCA_2019-08-10_final
2019-08-10 10:12:09	ga_s2bm_ard_3-2-1_54KXF_2019-08-10_final
2019-08-10 10:12:10	ga_s2bm_ard_3-2-1_55KCV_2019-08-10_final
2019-08-10 10:12:14	ga_s2bm_ard_3-2-1_54KZE_2019-08-10_final
2019-08-10 10:12:21	ga_s2bm_ard_3-2-1_54KXE_2019-08-10_final
2019-08-10 10:12:23	ga_s2bm_ard_3-2-1_55KCU_2019-08-10_final
2019-08-10 10:12:35	ga_s2bm_ard_3-2-1_55KCT_2019-08-10_final
2019-08-10 10:12:35	ga_s2bm_ard_3-2-1_54KXD_2019-08-10_final
2019-08-10 10:12:50	ga_s2bm_ard_3-2-1_54KXC_2019-08-10_final
2019-08-10 10:12:57	ga_s2bm_ard_3-2-1_54KZB_2019-08-10_final
2019-08-10 10:13:11	ga_s2bm_ard_3-2-1_55KBR_2019-08-10_final
2019-08-10 10:13:19	ga_s2bm_ard_3-2-1_54KXA_2019-08-10_final
2019-08-10 10:13:26	ga_s2bm_ard_3-2-1_54KZV_2019-08-10_final
2019-08-10 10:13:34	ga_s2bm_ard_3-2-1_54KXV_2019-08-10_final
2019-08-10 10:13:37	ga_s2bm_ard_3-2-1_54KWV_2019-08-10_final
2019-08-10 10:13:40	ga_s2bm_ard_3-2-1_54KZU_2019-08-10_final
2019-08-10 10:13:51	ga_s2bm_ard_3-2-1_54KWU_2019-08-10_final
2019-08-10 10:13:52	ga_s2bm_ard_3-2-1_54JZT_2019-08-10_final
2019-08-10 10:14:28	ga_s2bm_ard_3-2-1_54JYR_2019-08-10_final
2019-08-10 10:14:31	ga_s2bm_ard_3-2-1_54JXR_2019-08-10_final
2019-08-10 10:14:42	ga_s2bm_ard_3-2-1_54JYQ_2019-08-10_final
2019-08-10 10:14:46	ga_s2bm_ard_3-2-1_54JXQ_2019-08-10_final
2019-08-10 10:14:54	ga_s2bm_ard_3-2-1_54JYP_2019-08-10_final
2019-08-10 10:15:04	ga_s2bm_ard_3-2-1_54JWP_2019-08-10_final
2019-08-10 10:15:08	ga_s2bm_ard_3-2-1_54JVP_2019-08-10_final
2019-08-10 10:15:15	ga_s2bm_ard_3-2-1_54JXN_2019-08-10_final
2019-08-10 10:15:19	ga_s2bm_ard_3-2-1_54JWN_2019-08-10_final
2019-08-10 10:15:22	ga_s2bm_ard_3-2-1_54JVN_2019-08-10_final
2019-08-10 10:15:26	ga_s2bm_ard_3-2-1_54JUN_2019-08-10_final
2019-08-10 10:15:29	ga_s2bm_ard_3-2-1_54JXM_2019-08-10_final
2019-08-10 10:15:39	ga_s2bm_ard_3-2-1_54JUM_2019-08-10_final
2019-08-10 10:15:48	ga_s2bm_ard_3-2-1_54JWL_2019-08-10_final
2019-08-10 10:15:51	ga_s2bm_ard_3-2-1_54JVL_2019-08-10_final
2019-08-10 10:15:57	ga_s2bm_ard_3-2-1_54HXK_2019-08-10_final
2019-08-10 10:16:02	ga_s2bm_ard_3-2-1_54HWK_2019-08-10_final
2019-08-10 10:16:06	ga_s2bm_ard_3-2-1_54HVK_2019-08-10_final
2019-08-10 10:16:07	ga_s2bm_ard_3-2-1_54HXJ_2019-08-10_final
2019-08-10 10:16:09	ga_s2bm_ard_3-2-1_54HUK_2019-08-10_final
2019-08-10 10:16:23	ga_s2bm_ard_3-2-1_54HUJ_2019-08-10_final
2019-08-10 10:16:28	ga_s2bm_ard_3-2-1_54HTJ_2019-08-10_final
2019-08-10 10:16:31	ga_s2bm_ard_3-2-1_54HWH_2019-08-10_final
2019-08-10 10:16:35	ga_s2bm_ard_3-2-1_54HVH_2019-08-10_final
2019-08-10 10:16:38	ga_s2bm_ard_3-2-1_54HUH_2019-08-10_final
2019-08-10 10:16:41	ga_s2bm_ard_3-2-1_54HTH_2019-08-10_final
2019-08-10 10:16:46	ga_s2bm_ard_3-2-1_54HWG_2019-08-10_final
2019-08-10 10:16:49	ga_s2bm_ard_3-2-1_54HVG_2019-08-10_final
2019-08-10 10:16:53	ga_s2bm_ard_3-2-1_54HUG_2019-08-10_final
2019-08-10 10:16:56	ga_s2bm_ard_3-2-1_54HTG_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_54HWF_2019-08-10_final
2019-08-10 10:17:04	ga_s2bm_ard_3-2-1_54HVF_2019-08-10_final
2019-08-10 10:17:10	ga_s2bm_ard_3-2-1_54HWE_2019-08-10_final
2019-08-10 10:17:18	ga_s2bm_ard_3-2-1_54HVE_2019-08-10_final
2019-08-10 10:17:22	ga_s2bm_ard_3-2-1_54HUE_2019-08-10_final.stac-item
2019-08-10 10:17:25	ga_s2bm_ard_3-2-1_54HTE_2019-08-10_final.stac-item
2019-08-10 10:17:26	ga_s2bm_ard_3-2-1_53HQV_2019-08-10_final.stac-item
2019-08-10 10:17:33	ga_s2bm_ard_3-2-1_54HVD_2019-08-10_final
2019-08-10 10:17:36	ga_s2bm_ard_3-2-1_54HUD_2019-08-10_final.stac-item
2019-08-10 10:17:44	ga_s2bm_ard_3-2-1_54HVC_2019-08-10_final.stac-item
2019-08-10 11:52:44	ga_s2bm_ard_3-2-1_50KPF_2019-08-10_final.stac-item
2019-08-10 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2019-08-10_final.stac-item
2019-08-10 11:53:28	ga_s2bm_ard_3-2-1_50KPC_2019-08-10_final
2019-08-10 11:53:43	ga_s2bm_ard_3-2-1_50KPB_2019-08-10_final
2019-08-10 11:53:46	ga_s2bm_ard_3-2-1_50KNB_2019-08-10_final
2019-08-10 11:53:49	ga_s2bm_ard_3-2-1_50KMB_2019-08-10_final
2019-08-10 11:53:53	ga_s2bm_ard_3-2-1_50KQA_2019-08-10_final
2019-08-10 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2019-08-10_final
2019-08-10 11:54:15	ga_s2bm_ard_3-2-1_50KNV_2019-08-10_final
2019-08-10 11:54:18	ga_s2bm_ard_3-2-1_50KMV_2019-08-10_final
2019-08-10 11:54:29	ga_s2bm_ard_3-2-1_50KNU_2019-08-10_final
2019-08-10 11:54:33	ga_s2bm_ard_3-2-1_50KMU_2019-08-10_final
2019-08-10 11:55:13	ga_s2bm_ard_3-2-1_50JNR_2019-08-10_final
2019-08-10 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-08-10_final
2019-08-10 11:55:23	ga_s2bm_ard_3-2-1_50JPQ_2019-08-10_final
2019-08-10 11:55:34	ga_s2bm_ard_3-2-1_50JLQ_2019-08-10_final
2019-08-10 11:55:42	ga_s2bm_ard_3-2-1_50JNP_2019-08-10_final
2019-08-10 11:55:46	ga_s2bm_ard_3-2-1_50JMP_2019-08-10_final
2019-08-10 11:55:53	ga_s2bm_ard_3-2-1_50JKP_2019-08-10_final
2019-08-10 11:55:56	ga_s2bm_ard_3-2-1_50JNN_2019-08-10_final
2019-08-10 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-08-10_final
2019-08-10 11:56:03	ga_s2bm_ard_3-2-1_50JLN_2019-08-10_final
2019-08-10 11:56:18	ga_s2bm_ard_3-2-1_50JLM_2019-08-10_final
2019-08-10 11:56:21	ga_s2bm_ard_3-2-1_50JKM_2019-08-10_final
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-08-10 11:56:29	ga_s2bm_ard_3-2-1_50JML_2019-08-10_final
2019-08-10 11:56:37	ga_s2bm_ard_3-2-1_50HNK_2019-08-10_final
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final
2019-08-10 11:56:47	ga_s2bm_ard_3-2-1_50HLK_2019-08-10_final
2019-08-10 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-08-10_final
2019-08-10 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-08-10_final
2019-08-10 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2019-08-10_final
2019-08-10 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-08-10_final.stac-item

Return to ga_s2bm_ard_3 on 10th August 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

August

10th