Search ga_s2bm_ard_3 across July 2017

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
2017-07-01 10:07:04	ga_s2bm_ard_3-2-1_55KCB_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54JVL_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54KZC_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_55KCB_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2017-07-01_final
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_55GEP_2017-07-02_final
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_55GCP_2017-07-02_final
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_55GDP_2017-07-02_final
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_54HYB_2017-07-02_final
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_54JVL_2017-07-04_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KKU_2017-07-04_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHS_2017-07-04_final.stac-item
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KPF_2017-07-04_final.stac-item
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_56JNM_2017-07-05_final
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_56JNL_2017-07-05_final
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55GEP_2017-07-05_final
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55GFP_2017-07-05_final
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55HFS_2017-07-05_final.stac-item
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_52KGU_2017-07-06_final
2017-07-07 10:27:08	ga_s2bm_ard_3-2-1_54KUG_2017-07-07_final
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JNL_2017-07-07_final
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53KRT_2017-07-07_final
2017-07-08 09:57:07	ga_s2bm_ard_3-2-1_55KFB_2017-07-08_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_54KZC_2017-07-08_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_55KFB_2017-07-08_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_55KCB_2017-07-08_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55GEP_2017-07-09_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55GFP_2017-07-09_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55GDP_2017-07-09_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55GFN_2017-07-09_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55HFS_2017-07-09_final.stac-item
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GEP_2017-07-09_final
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GDP_2017-07-09_final
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GFP_2017-07-09_final
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GCP_2017-07-09_final
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KBU_2017-07-09_final
2017-07-11 10:09:55	ga_s2bm_ard_3-2-1_55KCB_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JMM_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JNM_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KPF_2017-07-11_final.stac-item
2017-07-12 09:42:13	ga_s2bm_ard_3-2-1_56KLD_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_52KBU_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_52KDG_2017-07-12_final
2017-07-14 10:17:06	ga_s2bm_ard_3-2-1_54KXG_2017-07-14_final
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_54JVL_2017-07-14_final
2017-07-15 09:51:05	ga_s2bm_ard_3-2-1_55KFB_2017-07-15_final
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_54HYB_2017-07-15_final
2017-07-16 09:22:45	ga_s2bm_ard_3-2-1_56JNM_2017-07-15_final
2017-07-16 09:22:45	ga_s2bm_ard_3-2-1_56JNL_2017-07-15_final
2017-07-16 10:58:39	ga_s2bm_ard_3-2-1_52KGU_2017-07-16_final
2017-07-17 10:32:01	ga_s2bm_ard_3-2-1_53KRT_2017-07-17_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_50KKU_2017-07-17_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHS_2017-07-17_final.stac-item
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_50KKU_2017-07-17_final
2017-07-18 10:00:32	ga_s2bm_ard_3-2-1_54KZC_2017-07-18_final
2017-07-18 10:00:32	ga_s2bm_ard_3-2-1_55KFB_2017-07-18_final
2017-07-18 10:00:32	ga_s2bm_ard_3-2-1_55KCB_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KTP_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JMM_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JNM_2017-07-18_final
2017-07-19 09:38:36	ga_s2bm_ard_3-2-1_55GDP_2017-07-19_final
2017-07-19 09:38:36	ga_s2bm_ard_3-2-1_55GCP_2017-07-19_final
2017-07-19 11:07:12	ga_s2bm_ard_3-2-1_52KDG_2017-07-19_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2017-07-19_final
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JNL_2017-07-20_final
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54JVL_2017-07-21_final
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54KZC_2017-07-21_final
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_55KCB_2017-07-21_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-21_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2017-07-21_final
2017-07-22 09:42:13	ga_s2bm_ard_3-2-1_56KLD_2017-07-22_final
2017-07-22 09:46:33	ga_s2bm_ard_3-2-1_55GEP_2017-07-22_final
2017-07-22 09:46:33	ga_s2bm_ard_3-2-1_55GCP_2017-07-22_final
2017-07-22 09:46:33	ga_s2bm_ard_3-2-1_55GDP_2017-07-22_final
2017-07-22 09:46:33	ga_s2bm_ard_3-2-1_54HYB_2017-07-22_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KKU_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHS_2017-07-24_final.stac-item
2017-07-25 09:51:05	ga_s2bm_ard_3-2-1_55KFB_2017-07-25_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_56JNM_2017-07-25_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_56JNL_2017-07-25_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55GEP_2017-07-25_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55GFP_2017-07-25_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55HFS_2017-07-25_final.stac-item
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KGU_2017-07-26_final
2017-07-27 10:27:07	ga_s2bm_ard_3-2-1_54KUG_2017-07-27_final
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53JNL_2017-07-27_final
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53KRT_2017-07-27_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_54KZC_2017-07-28_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_55KFB_2017-07-28_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_55KCB_2017-07-28_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GEP_2017-07-29_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GFP_2017-07-29_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GCP_2017-07-29_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GDP_2017-07-29_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55HFS_2017-07-29_final.stac-item
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KBU_2017-07-29_final
2017-07-31 10:09:54	ga_s2bm_ard_3-2-1_55KCB_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMM_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JNM_2017-07-31_final

Return to ga_s2bm_ard_3 across July 2017 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

2017

July

All days