Search ga_s2bm_ard_3 across June 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
2019-06-01 10:11:35	ga_s2bm_ard_3-2-1_54LYH_2019-06-01_final
2019-06-01 10:13:38	ga_s2bm_ard_3-2-1_54KWV_2019-06-01_final
2019-06-01 10:16:47	ga_s2bm_ard_3-2-1_54HWG_2019-06-01_final
2019-06-01 10:16:51	ga_s2bm_ard_3-2-1_54HVG_2019-06-01_final
2019-06-01 10:17:00	ga_s2bm_ard_3-2-1_54HWF_2019-06-01_final
2019-06-01 10:17:05	ga_s2bm_ard_3-2-1_54HVF_2019-06-01_final
2019-06-02 09:46:39	ga_s2bm_ard_3-2-1_55HEB_2019-06-02_final
2019-06-02 09:46:54	ga_s2bm_ard_3-2-1_55HEA_2019-06-02_final
2019-06-02 11:22:03	ga_s2bm_ard_3-2-1_51LZC_2019-06-02_final
2019-06-02 11:22:07	ga_s2bm_ard_3-2-1_51LYC_2019-06-02_final
2019-06-02 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-06-02_final
2019-06-02 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-02_final
2019-06-04 10:23:33	ga_s2bm_ard_3-2-1_54KWV_2019-06-04_final
2019-06-04 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-06-04_final
2019-06-04 10:27:02	ga_s2bm_ard_3-2-1_53HNB_2019-06-04_final
2019-06-05 09:51:20	ga_s2bm_ard_3-2-1_55LHC_2019-06-05_final.stac-item
2019-06-05 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-05_final
2019-06-05 09:53:29	ga_s2bm_ard_3-2-1_55KDQ_2019-06-05_final
2019-06-05 11:31:56	ga_s2bm_ard_3-2-1_51LZC_2019-06-05_final
2019-06-05 11:32:01	ga_s2bm_ard_3-2-1_51LYC_2019-06-05_final
2019-06-05 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-06-05_final
2019-06-07 10:36:25	ga_s2bm_ard_3-2-1_53HPD_2019-06-07_final
2019-06-07 10:36:36	ga_s2bm_ard_3-2-1_53HLD_2019-06-07_final
2019-06-07 10:36:58	ga_s2bm_ard_3-2-1_53HNB_2019-06-07_final
2019-06-07 10:37:16	ga_s2bm_ard_3-2-1_53HPV_2019-06-07_final.stac-item
2019-06-08 10:03:25	ga_s2bm_ard_3-2-1_55KDQ_2019-06-08_final
2019-06-08 10:06:50	ga_s2bm_ard_3-2-1_54HWG_2019-06-08_final
2019-06-08 10:06:54	ga_s2bm_ard_3-2-1_54HVG_2019-06-08_final
2019-06-08 10:07:05	ga_s2bm_ard_3-2-1_54HWF_2019-06-08_final
2019-06-08 10:07:08	ga_s2bm_ard_3-2-1_54HVF_2019-06-08_final
2019-06-09 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-06-09_final
2019-06-09 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-06-09_final
2019-06-10 10:41:42	ga_s2bm_ard_3-2-1_53LQC_2019-06-10_final
2019-06-10 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-06-10_final
2019-06-11 10:11:34	ga_s2bm_ard_3-2-1_54LYH_2019-06-11_final
2019-06-11 10:13:37	ga_s2bm_ard_3-2-1_54KWV_2019-06-11_final
2019-06-11 10:16:46	ga_s2bm_ard_3-2-1_54HWG_2019-06-11_final
2019-06-11 10:16:50	ga_s2bm_ard_3-2-1_54HVG_2019-06-11_final
2019-06-11 10:17:00	ga_s2bm_ard_3-2-1_54HWF_2019-06-11_final
2019-06-11 10:17:04	ga_s2bm_ard_3-2-1_54HVF_2019-06-11_final
2019-06-12 09:46:39	ga_s2bm_ard_3-2-1_55HEB_2019-06-12_final
2019-06-12 09:46:42	ga_s2bm_ard_3-2-1_55HDB_2019-06-12_final
2019-06-12 09:46:53	ga_s2bm_ard_3-2-1_55HEA_2019-06-12_final
2019-06-12 11:22:02	ga_s2bm_ard_3-2-1_51LZC_2019-06-12_final
2019-06-12 11:22:06	ga_s2bm_ard_3-2-1_51LYC_2019-06-12_final
2019-06-12 11:26:43	ga_s2bm_ard_3-2-1_51HXD_2019-06-12_final
2019-06-12 11:26:54	ga_s2bm_ard_3-2-1_51HUD_2019-06-12_final
2019-06-14 10:23:32	ga_s2bm_ard_3-2-1_54KWV_2019-06-14_final
2019-06-14 10:26:29	ga_s2bm_ard_3-2-1_53HPD_2019-06-14_final
2019-06-14 10:27:01	ga_s2bm_ard_3-2-1_53HNB_2019-06-14_final
2019-06-15 09:51:19	ga_s2bm_ard_3-2-1_55LHC_2019-06-15_final.stac-item
2019-06-15 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-15_final
2019-06-15 09:53:29	ga_s2bm_ard_3-2-1_55KDQ_2019-06-15_final
2019-06-15 11:31:56	ga_s2bm_ard_3-2-1_51LZC_2019-06-15_final
2019-06-15 11:32:00	ga_s2bm_ard_3-2-1_51LYC_2019-06-15_final
2019-06-15 11:36:50	ga_s2bm_ard_3-2-1_51HUD_2019-06-15_final
2019-06-17 10:36:25	ga_s2bm_ard_3-2-1_53HPD_2019-06-17_final
2019-06-17 10:36:36	ga_s2bm_ard_3-2-1_53HLD_2019-06-17_final
2019-06-17 10:36:58	ga_s2bm_ard_3-2-1_53HNB_2019-06-17_final
2019-06-18 10:03:24	ga_s2bm_ard_3-2-1_55KDQ_2019-06-18_final
2019-06-18 10:06:50	ga_s2bm_ard_3-2-1_54HWG_2019-06-18_final
2019-06-18 10:06:54	ga_s2bm_ard_3-2-1_54HVG_2019-06-18_final
2019-06-18 10:07:05	ga_s2bm_ard_3-2-1_54HWF_2019-06-18_final
2019-06-18 10:07:08	ga_s2bm_ard_3-2-1_54HVF_2019-06-18_final
2019-06-19 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-06-19_final
2019-06-19 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-06-19_final
2019-06-20 10:41:42	ga_s2bm_ard_3-2-1_53LQC_2019-06-20_final
2019-06-20 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-06-20_final
2019-06-21 10:11:35	ga_s2bm_ard_3-2-1_54LYH_2019-06-21_final
2019-06-21 10:13:38	ga_s2bm_ard_3-2-1_54KWV_2019-06-21_final
2019-06-21 10:16:47	ga_s2bm_ard_3-2-1_54HWG_2019-06-21_final
2019-06-21 10:16:50	ga_s2bm_ard_3-2-1_54HVG_2019-06-21_final
2019-06-21 10:17:00	ga_s2bm_ard_3-2-1_54HWF_2019-06-21_final
2019-06-21 10:17:05	ga_s2bm_ard_3-2-1_54HVF_2019-06-21_final
2019-06-22 09:46:39	ga_s2bm_ard_3-2-1_55HEB_2019-06-22_final
2019-06-22 09:46:54	ga_s2bm_ard_3-2-1_55HEA_2019-06-22_final
2019-06-22 11:22:02	ga_s2bm_ard_3-2-1_51LZC_2019-06-22_final
2019-06-22 11:22:07	ga_s2bm_ard_3-2-1_51LYC_2019-06-22_final
2019-06-22 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-06-22_final
2019-06-22 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-22_final
2019-06-24 10:23:33	ga_s2bm_ard_3-2-1_54KWV_2019-06-24_final
2019-06-24 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-06-24_final
2019-06-24 10:27:02	ga_s2bm_ard_3-2-1_53HNB_2019-06-24_final
2019-06-25 09:51:20	ga_s2bm_ard_3-2-1_55LHC_2019-06-25_final.stac-item
2019-06-25 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-25_final
2019-06-25 09:53:29	ga_s2bm_ard_3-2-1_55KDQ_2019-06-25_final
2019-06-25 11:31:57	ga_s2bm_ard_3-2-1_51LZC_2019-06-25_final
2019-06-25 11:32:01	ga_s2bm_ard_3-2-1_51LYC_2019-06-25_final
2019-06-25 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-06-25_final
2019-06-27 10:36:26	ga_s2bm_ard_3-2-1_53HPD_2019-06-27_final
2019-06-27 10:36:37	ga_s2bm_ard_3-2-1_53HLD_2019-06-27_final
2019-06-27 10:36:58	ga_s2bm_ard_3-2-1_53HNB_2019-06-27_final
2019-06-28 10:03:25	ga_s2bm_ard_3-2-1_55KDQ_2019-06-28_final
2019-06-28 10:06:51	ga_s2bm_ard_3-2-1_54HWG_2019-06-28_final
2019-06-28 10:06:54	ga_s2bm_ard_3-2-1_54HVG_2019-06-28_final
2019-06-28 10:07:05	ga_s2bm_ard_3-2-1_54HWF_2019-06-28_final
2019-06-28 10:07:09	ga_s2bm_ard_3-2-1_54HVF_2019-06-28_final
2019-06-29 09:36:59	ga_s2bm_ard_3-2-1_55HEA_2019-06-29_final
2019-06-29 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-06-29_final
2019-06-30 10:41:43	ga_s2bm_ard_3-2-1_53LQC_2019-06-30_final

Return to ga_s2bm_ard_3 across June 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

June

All days