Search ga_s2bm_ard_3 across July 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
2019-07-01 10:16:03	ga_s2bm_ard_3-2-1_54HWK_2019-07-01_final
2019-07-01 10:17:09	ga_s2bm_ard_3-2-1_54HUF_2019-07-01_final
2019-07-01 10:17:34	ga_s2bm_ard_3-2-1_54HVD_2019-07-01_final
2019-07-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-01_final
2019-07-02 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-07-02_final
2019-07-02 09:45:59	ga_s2bm_ard_3-2-1_55HDE_2019-07-02_final
2019-07-02 09:46:50	ga_s2bm_ard_3-2-1_55HFA_2019-07-02_final
2019-07-02 09:47:01	ga_s2bm_ard_3-2-1_55HCA_2019-07-02_final
2019-07-02 09:47:23	ga_s2bm_ard_3-2-1_55HEU_2019-07-02_final
2019-07-02 11:26:16	ga_s2bm_ard_3-2-1_51JXF_2019-07-02_final
2019-07-02 11:26:26	ga_s2bm_ard_3-2-1_51JUF_2019-07-02_final
2019-07-04 10:25:52	ga_s2bm_ard_3-2-1_54JUL_2019-07-04_final
2019-07-04 10:26:59	ga_s2bm_ard_3-2-1_54HUF_2019-07-04_final
2019-07-04 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-04_final
2019-07-04 12:06:23	ga_s2bm_ard_3-2-1_50JLL_2019-07-04_final
2019-07-05 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-05_final
2019-07-05 09:55:56	ga_s2bm_ard_3-2-1_55HDE_2019-07-05_final
2019-07-05 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-07-05_final
2019-07-05 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-07-05_final
2019-07-05 09:57:26	ga_s2bm_ard_3-2-1_55HCU_2019-07-05_final
2019-07-05 11:36:23	ga_s2bm_ard_3-2-1_51JUF_2019-07-05_final
2019-07-06 09:27:23	ga_s2bm_ard_3-2-1_55HGU_2019-07-05_final.stac-item
2019-07-06 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-06_final
2019-07-07 10:37:07	ga_s2bm_ard_3-2-1_53HPA_2019-07-07_final
2019-07-08 10:06:08	ga_s2bm_ard_3-2-1_54HWK_2019-07-08_final
2019-07-08 10:07:02	ga_s2bm_ard_3-2-1_54HXF_2019-07-08_final
2019-07-08 10:07:38	ga_s2bm_ard_3-2-1_54HVD_2019-07-08_final
2019-07-09 09:36:54	ga_s2bm_ard_3-2-1_55HFA_2019-07-09_final
2019-07-09 09:37:19	ga_s2bm_ard_3-2-1_55HGU_2019-07-09_final.stac-item
2019-07-09 09:37:27	ga_s2bm_ard_3-2-1_55HEU_2019-07-09_final
2019-07-09 11:16:11	ga_s2bm_ard_3-2-1_52JCL_2019-07-09_final
2019-07-10 10:46:04	ga_s2bm_ard_3-2-1_53JLF_2019-07-10_final
2019-07-11 10:16:04	ga_s2bm_ard_3-2-1_54HWK_2019-07-11_final
2019-07-11 10:17:09	ga_s2bm_ard_3-2-1_54HUF_2019-07-11_final
2019-07-11 10:17:34	ga_s2bm_ard_3-2-1_54HVD_2019-07-11_final
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final
2019-07-12 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-07-12_final
2019-07-12 09:46:00	ga_s2bm_ard_3-2-1_55HDE_2019-07-12_final
2019-07-12 09:46:51	ga_s2bm_ard_3-2-1_55HFA_2019-07-12_final
2019-07-12 09:47:01	ga_s2bm_ard_3-2-1_55HCA_2019-07-12_final
2019-07-12 09:47:23	ga_s2bm_ard_3-2-1_55HEU_2019-07-12_final
2019-07-12 11:26:16	ga_s2bm_ard_3-2-1_51JXF_2019-07-12_final
2019-07-12 11:26:27	ga_s2bm_ard_3-2-1_51JUF_2019-07-12_final
2019-07-14 10:25:52	ga_s2bm_ard_3-2-1_54JUL_2019-07-14_final
2019-07-14 10:26:59	ga_s2bm_ard_3-2-1_54HUF_2019-07-14_final
2019-07-14 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-14_final
2019-07-14 12:06:23	ga_s2bm_ard_3-2-1_50JLL_2019-07-14_final
2019-07-15 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-15_final
2019-07-15 09:55:56	ga_s2bm_ard_3-2-1_55HDE_2019-07-15_final
2019-07-15 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-07-15_final
2019-07-15 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-07-15_final
2019-07-15 09:57:26	ga_s2bm_ard_3-2-1_55HCU_2019-07-15_final
2019-07-15 11:36:23	ga_s2bm_ard_3-2-1_51JUF_2019-07-15_final
2019-07-16 09:27:23	ga_s2bm_ard_3-2-1_55HGU_2019-07-15_final.stac-item
2019-07-16 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-16_final
2019-07-17 10:37:07	ga_s2bm_ard_3-2-1_53HPA_2019-07-17_final
2019-07-18 10:06:08	ga_s2bm_ard_3-2-1_54HWK_2019-07-18_final
2019-07-18 10:07:02	ga_s2bm_ard_3-2-1_54HXF_2019-07-18_final
2019-07-18 10:07:38	ga_s2bm_ard_3-2-1_54HVD_2019-07-18_final
2019-07-19 09:36:54	ga_s2bm_ard_3-2-1_55HFA_2019-07-19_final
2019-07-19 09:37:19	ga_s2bm_ard_3-2-1_55HGU_2019-07-19_final.stac-item
2019-07-19 09:37:27	ga_s2bm_ard_3-2-1_55HEU_2019-07-19_final
2019-07-19 11:16:11	ga_s2bm_ard_3-2-1_52JCL_2019-07-19_final
2019-07-20 10:46:04	ga_s2bm_ard_3-2-1_53JLF_2019-07-20_final
2019-07-21 10:15:56	ga_s2bm_ard_3-2-1_54JUL_2019-07-21_final
2019-07-21 10:16:04	ga_s2bm_ard_3-2-1_54HWK_2019-07-21_final
2019-07-21 10:17:09	ga_s2bm_ard_3-2-1_54HUF_2019-07-21_final
2019-07-21 10:17:13	ga_s2bm_ard_3-2-1_53HQA_2019-07-21_final
2019-07-21 10:17:34	ga_s2bm_ard_3-2-1_54HVD_2019-07-21_final
2019-07-21 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-21_final
2019-07-22 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-07-22_final
2019-07-22 09:45:59	ga_s2bm_ard_3-2-1_55HDE_2019-07-22_final
2019-07-22 09:46:50	ga_s2bm_ard_3-2-1_55HFA_2019-07-22_final
2019-07-22 09:47:01	ga_s2bm_ard_3-2-1_55HCA_2019-07-22_final
2019-07-22 09:47:23	ga_s2bm_ard_3-2-1_55HEU_2019-07-22_final
2019-07-22 11:26:16	ga_s2bm_ard_3-2-1_51JXF_2019-07-22_final
2019-07-22 11:26:26	ga_s2bm_ard_3-2-1_51JUF_2019-07-22_final
2019-07-24 10:25:51	ga_s2bm_ard_3-2-1_54JUL_2019-07-24_final
2019-07-24 10:26:59	ga_s2bm_ard_3-2-1_54HUF_2019-07-24_final
2019-07-24 10:27:13	ga_s2bm_ard_3-2-1_53HPA_2019-07-24_final
2019-07-25 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-25_final
2019-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HDE_2019-07-25_final
2019-07-25 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-07-25_final
2019-07-25 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-07-25_final
2019-07-25 09:57:26	ga_s2bm_ard_3-2-1_55HCU_2019-07-25_final
2019-07-25 11:36:22	ga_s2bm_ard_3-2-1_51JUF_2019-07-25_final
2019-07-26 09:27:22	ga_s2bm_ard_3-2-1_55HGU_2019-07-25_final.stac-item
2019-07-26 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-26_final
2019-07-27 10:37:07	ga_s2bm_ard_3-2-1_53HPA_2019-07-27_final
2019-07-28 10:06:07	ga_s2bm_ard_3-2-1_54HWK_2019-07-28_final
2019-07-28 10:07:02	ga_s2bm_ard_3-2-1_54HXF_2019-07-28_final
2019-07-28 10:07:38	ga_s2bm_ard_3-2-1_54HVD_2019-07-28_final
2019-07-29 09:36:54	ga_s2bm_ard_3-2-1_55HFA_2019-07-29_final
2019-07-29 09:37:19	ga_s2bm_ard_3-2-1_55HGU_2019-07-29_final.stac-item
2019-07-29 09:37:27	ga_s2bm_ard_3-2-1_55HEU_2019-07-29_final
2019-07-29 11:16:10	ga_s2bm_ard_3-2-1_52JCL_2019-07-29_final
2019-07-30 10:46:03	ga_s2bm_ard_3-2-1_53JLF_2019-07-30_final
2019-07-31 10:16:03	ga_s2bm_ard_3-2-1_54HWK_2019-07-31_final
2019-07-31 10:17:08	ga_s2bm_ard_3-2-1_54HUF_2019-07-31_final
2019-07-31 10:17:34	ga_s2bm_ard_3-2-1_54HVD_2019-07-31_final

Return to ga_s2bm_ard_3 across July 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

July

All days