Search ga_s2bm_ard_3 across April 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
2019-04-01 10:43:57	ga_s2bm_ard_3-2-1_53KMP_2019-04-01_final
2019-04-02 10:17:40	ga_s2bm_ard_3-2-1_54HVC_2019-04-02_final.stac-item
2019-04-02 11:54:14	ga_s2bm_ard_3-2-1_50KMV_2019-04-02_final
2019-04-03 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2019-04-03_final
2019-04-03 09:47:32	ga_s2bm_ard_3-2-1_55HET_2019-04-03_final
2019-04-03 09:47:39	ga_s2bm_ard_3-2-1_55HCT_2019-04-03_final
2019-04-03 09:47:43	ga_s2bm_ard_3-2-1_55HBT_2019-04-03_final
2019-04-03 09:47:47	ga_s2bm_ard_3-2-1_54HYC_2019-04-03_final
2019-04-03 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2019-04-03_final.stac-item
2019-04-04 10:53:52	ga_s2bm_ard_3-2-1_53KMP_2019-04-04_final
2019-04-05 10:23:47	ga_s2bm_ard_3-2-1_54KVU_2019-04-05_final
2019-04-05 10:26:25	ga_s2bm_ard_3-2-1_53HPD_2019-04-05_final
2019-04-05 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2019-04-05_final
2019-04-05 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2019-04-05_final
2019-04-06 09:53:40	ga_s2bm_ard_3-2-1_55KDP_2019-04-06_final
2019-04-06 09:56:41	ga_s2bm_ard_3-2-1_55HBB_2019-04-06_final
2019-04-06 09:57:36	ga_s2bm_ard_3-2-1_55HCT_2019-04-06_final
2019-04-06 09:57:39	ga_s2bm_ard_3-2-1_55HBT_2019-04-06_final
2019-04-06 09:57:40	ga_s2bm_ard_3-2-1_54HYC_2019-04-06_final
2019-04-06 09:57:44	ga_s2bm_ard_3-2-1_54HXC_2019-04-06_final
2019-04-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-04-06_final
2019-04-07 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2019-04-07_final
2019-04-08 10:36:21	ga_s2bm_ard_3-2-1_53HPD_2019-04-08_final
2019-04-09 10:03:35	ga_s2bm_ard_3-2-1_55KDP_2019-04-09_final
2019-04-09 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2019-04-09_final
2019-04-09 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2019-04-09_final
2019-04-09 10:07:48	ga_s2bm_ard_3-2-1_54HVC_2019-04-09_final.stac-item
2019-04-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2019-04-09_final
2019-04-10 09:36:32	ga_s2bm_ard_3-2-1_55HGB_2019-04-10_final
2019-04-10 09:37:37	ga_s2bm_ard_3-2-1_55HET_2019-04-10_final
2019-04-10 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2019-04-10_final
2019-04-10 11:14:02	ga_s2bm_ard_3-2-1_52KEU_2019-04-10_final
2019-04-10 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2019-04-10_final.stac-item
2019-04-11 10:43:59	ga_s2bm_ard_3-2-1_53KMP_2019-04-11_final
2019-04-12 10:17:42	ga_s2bm_ard_3-2-1_54HVC_2019-04-12_final.stac-item
2019-04-12 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2019-04-12_final
2019-04-13 09:46:22	ga_s2bm_ard_3-2-1_55HGB_2019-04-13_final
2019-04-13 09:47:24	ga_s2bm_ard_3-2-1_55HFT_2019-04-13_final.stac-item
2019-04-13 09:47:34	ga_s2bm_ard_3-2-1_55HET_2019-04-13_final
2019-04-13 09:47:41	ga_s2bm_ard_3-2-1_55HCT_2019-04-13_final
2019-04-13 09:47:45	ga_s2bm_ard_3-2-1_55HBT_2019-04-13_final
2019-04-13 09:47:49	ga_s2bm_ard_3-2-1_54HYC_2019-04-13_final
2019-04-13 11:27:15	ga_s2bm_ard_3-2-1_51HVB_2019-04-13_final.stac-item
2019-04-14 10:53:54	ga_s2bm_ard_3-2-1_53KMP_2019-04-14_final
2019-04-15 10:23:49	ga_s2bm_ard_3-2-1_54KVU_2019-04-15_final
2019-04-15 10:26:27	ga_s2bm_ard_3-2-1_53HPD_2019-04-15_final
2019-04-15 12:04:12	ga_s2bm_ard_3-2-1_50KMV_2019-04-15_final
2019-04-15 12:04:27	ga_s2bm_ard_3-2-1_50KMU_2019-04-15_final
2019-04-16 09:53:42	ga_s2bm_ard_3-2-1_55KDP_2019-04-16_final
2019-04-16 09:56:43	ga_s2bm_ard_3-2-1_55HBB_2019-04-16_final
2019-04-16 09:57:38	ga_s2bm_ard_3-2-1_55HCT_2019-04-16_final
2019-04-16 09:57:41	ga_s2bm_ard_3-2-1_55HBT_2019-04-16_final
2019-04-16 09:57:42	ga_s2bm_ard_3-2-1_54HYC_2019-04-16_final
2019-04-16 09:57:46	ga_s2bm_ard_3-2-1_54HXC_2019-04-16_final
2019-04-16 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2019-04-16_final
2019-04-17 11:03:55	ga_s2bm_ard_3-2-1_52KEV_2019-04-17_final
2019-04-18 10:36:23	ga_s2bm_ard_3-2-1_53HPD_2019-04-18_final
2019-04-19 10:03:37	ga_s2bm_ard_3-2-1_55KDP_2019-04-19_final
2019-04-19 10:06:39	ga_s2bm_ard_3-2-1_55HBB_2019-04-19_final
2019-04-19 10:07:42	ga_s2bm_ard_3-2-1_54HXC_2019-04-19_final
2019-04-19 10:07:50	ga_s2bm_ard_3-2-1_54HVC_2019-04-19_final.stac-item
2019-04-19 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-04-19_final
2019-04-20 09:36:34	ga_s2bm_ard_3-2-1_55HGB_2019-04-20_final
2019-04-20 09:37:39	ga_s2bm_ard_3-2-1_55HET_2019-04-20_final
2019-04-20 11:13:50	ga_s2bm_ard_3-2-1_52KEV_2019-04-20_final
2019-04-20 11:14:03	ga_s2bm_ard_3-2-1_52KEU_2019-04-20_final
2019-04-21 10:44:01	ga_s2bm_ard_3-2-1_53KMP_2019-04-21_final
2019-04-22 10:17:44	ga_s2bm_ard_3-2-1_54HVC_2019-04-22_final.stac-item
2019-04-22 11:54:18	ga_s2bm_ard_3-2-1_50KMV_2019-04-22_final
2019-04-23 09:46:24	ga_s2bm_ard_3-2-1_55HGB_2019-04-23_final
2019-04-23 09:47:26	ga_s2bm_ard_3-2-1_55HFT_2019-04-23_final.stac-item
2019-04-23 09:47:35	ga_s2bm_ard_3-2-1_55HET_2019-04-23_final
2019-04-23 09:47:43	ga_s2bm_ard_3-2-1_55HCT_2019-04-23_final
2019-04-23 09:47:47	ga_s2bm_ard_3-2-1_55HBT_2019-04-23_final
2019-04-23 09:47:51	ga_s2bm_ard_3-2-1_54HYC_2019-04-23_final
2019-04-23 11:27:17	ga_s2bm_ard_3-2-1_51HVB_2019-04-23_final.stac-item
2019-04-24 10:53:56	ga_s2bm_ard_3-2-1_53KMP_2019-04-24_final
2019-04-25 10:23:50	ga_s2bm_ard_3-2-1_54KVU_2019-04-25_final
2019-04-25 10:26:29	ga_s2bm_ard_3-2-1_53HPD_2019-04-25_final
2019-04-25 12:04:13	ga_s2bm_ard_3-2-1_50KMV_2019-04-25_final
2019-04-25 12:04:28	ga_s2bm_ard_3-2-1_50KMU_2019-04-25_final
2019-04-26 09:53:43	ga_s2bm_ard_3-2-1_55KDP_2019-04-26_final
2019-04-26 09:56:44	ga_s2bm_ard_3-2-1_55HBB_2019-04-26_final
2019-04-26 09:57:39	ga_s2bm_ard_3-2-1_55HCT_2019-04-26_final
2019-04-26 09:57:43	ga_s2bm_ard_3-2-1_55HBT_2019-04-26_final
2019-04-26 09:57:44	ga_s2bm_ard_3-2-1_54HYC_2019-04-26_final
2019-04-26 09:57:47	ga_s2bm_ard_3-2-1_54HXC_2019-04-26_final
2019-04-26 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-04-26_final
2019-04-27 11:03:56	ga_s2bm_ard_3-2-1_52KEV_2019-04-27_final
2019-04-28 10:36:24	ga_s2bm_ard_3-2-1_53HPD_2019-04-28_final
2019-04-29 10:03:24	ga_s2bm_ard_3-2-1_55KDQ_2019-04-29_final
2019-04-29 10:03:39	ga_s2bm_ard_3-2-1_55KDP_2019-04-29_final
2019-04-29 10:06:40	ga_s2bm_ard_3-2-1_55HBB_2019-04-29_final
2019-04-29 10:07:44	ga_s2bm_ard_3-2-1_54HXC_2019-04-29_final
2019-04-29 10:07:51	ga_s2bm_ard_3-2-1_54HVC_2019-04-29_final.stac-item
2019-04-29 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2019-04-29_final
2019-04-29 11:46:59	ga_s2bm_ard_3-2-1_50HPJ_2019-04-29_final
2019-04-30 09:36:35	ga_s2bm_ard_3-2-1_55HGB_2019-04-30_final
2019-04-30 09:37:40	ga_s2bm_ard_3-2-1_55HET_2019-04-30_final
2019-04-30 11:13:52	ga_s2bm_ard_3-2-1_52KEV_2019-04-30_final

Return to ga_s2bm_ard_3 across April 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

April

All days