Search ga_s2bm_ard_3 across March 2018

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
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2018-03-01_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54JVT_2018-03-01_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54KWE_2018-03-01_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54KVE_2018-03-01_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54JTR_2018-03-01_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54JTM_2018-03-01_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKM_2018-03-01_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JEH_2018-03-02_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JBG_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQG_2018-03-02_final.stac-item
2018-03-03 09:22:35	ga_s2bm_ard_3-2-1_56JMN_2018-03-02_final
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JBM_2018-03-03_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_53JMH_2018-03-04_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_53JNH_2018-03-04_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_54JTR_2018-03-04_final
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_55JDN_2018-03-05_final
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_55JBG_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTL_2018-03-05_final
2018-03-06 09:32:30	ga_s2bm_ard_3-2-1_56JMT_2018-03-06_final
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LFL_2018-03-06_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52JBR_2018-03-06_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52JBM_2018-03-06_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53KNV_2018-03-07_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JKL_2018-03-07_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JMH_2018-03-07_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JNH_2018-03-07_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JKG_2018-03-07_final
2018-03-08 10:16:06	ga_s2bm_ard_3-2-1_53HQB_2018-03-08_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKM_2018-03-08_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52JBR_2018-03-09_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53KNV_2018-03-10_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53JKL_2018-03-10_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53JKG_2018-03-10_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JVT_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KWE_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JTR_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JTM_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKM_2018-03-11_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JBG_2018-03-12_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQG_2018-03-12_final.stac-item
2018-03-13 11:02:50	ga_s2bm_ard_3-2-1_52JBM_2018-03-13_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_54KVE_2018-03-14_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_53JMH_2018-03-14_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_53JNH_2018-03-14_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_54JTR_2018-03-14_final
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_55JBG_2018-03-15_final
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_56JMT_2018-03-16_final
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_56JMN_2018-03-16_final
2018-03-16 11:07:05	ga_s2bm_ard_3-2-1_52LFL_2018-03-16_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_52JBR_2018-03-16_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_52JBM_2018-03-16_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53KNV_2018-03-17_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53JKL_2018-03-17_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53JMH_2018-03-17_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53JNH_2018-03-17_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53JKG_2018-03-17_final
2018-03-18 10:16:09	ga_s2bm_ard_3-2-1_53HQB_2018-03-18_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKM_2018-03-18_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52JBR_2018-03-19_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53KNV_2018-03-20_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53JKL_2018-03-20_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53JKG_2018-03-20_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HQB_2018-03-21_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JVT_2018-03-21_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54KWE_2018-03-21_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JTR_2018-03-21_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JTM_2018-03-21_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKM_2018-03-21_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JDN_2018-03-22_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JEH_2018-03-22_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JBG_2018-03-22_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQG_2018-03-22_final.stac-item
2018-03-23 09:22:39	ga_s2bm_ard_3-2-1_56JMN_2018-03-22_final
2018-03-23 11:05:39	ga_s2bm_ard_3-2-1_52JBM_2018-03-23_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JMH_2018-03-24_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JNH_2018-03-24_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_54JTR_2018-03-24_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_55JBG_2018-03-25_final
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_56JMT_2018-03-26_final
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_56JMN_2018-03-26_final
2018-03-26 11:07:07	ga_s2bm_ard_3-2-1_52LFL_2018-03-26_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52JBR_2018-03-26_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52JBM_2018-03-26_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53KNV_2018-03-27_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JKL_2018-03-27_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JMH_2018-03-27_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JNH_2018-03-27_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JKG_2018-03-27_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_53HQB_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKM_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_52JBR_2018-03-29_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_53KNV_2018-03-30_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_53JKL_2018-03-30_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_53JKG_2018-03-30_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_53HQB_2018-03-31_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54JVT_2018-03-31_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54KWE_2018-03-31_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54JTR_2018-03-31_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54JTM_2018-03-31_final

Return to ga_s2bm_ard_3 across March 2018 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

2018

March

All days