Search ga_s2bm_ard_3 across February 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
2019-02-01 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2019-02-01_final
2019-02-01 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2019-02-01_final
2019-02-01 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2019-02-01_final
2019-02-01 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-02-01_final
2019-02-01 11:55:30	ga_s2bm_ard_3-2-1_50JNQ_2019-02-01_final
2019-02-01 11:55:31	ga_s2bm_ard_3-2-1_50JMQ_2019-02-01_final
2019-02-02 09:44:25	ga_s2bm_ard_3-2-1_55JEL_2019-02-02_final
2019-02-02 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2019-02-02_final
2019-02-02 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2019-02-02_final
2019-02-02 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-02-02_final
2019-02-02 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2019-02-02_final
2019-02-04 10:24:42	ga_s2bm_ard_3-2-1_54JVQ_2019-02-04_final
2019-02-04 10:26:59	ga_s2bm_ard_3-2-1_54HTF_2019-02-04_final
2019-02-05 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-02-05_final
2019-02-05 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2019-02-05_final
2019-02-05 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2019-02-05_final
2019-02-05 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2019-02-05_final
2019-02-05 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2019-02-05_final
2019-02-05 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2019-02-05_final
2019-02-05 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2019-02-05_final
2019-02-06 09:24:24	ga_s2bm_ard_3-2-1_56JNQ_2019-02-05_final.stac-item
2019-02-06 09:26:45	ga_s2bm_ard_3-2-1_56HKF_2019-02-05_final
2019-02-06 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-02-06_final
2019-02-06 11:04:51	ga_s2bm_ard_3-2-1_52JDR_2019-02-06_final
2019-02-06 11:05:02	ga_s2bm_ard_3-2-1_52JEQ_2019-02-06_final
2019-02-06 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2019-02-06_final
2019-02-08 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2019-02-08_final
2019-02-08 10:04:24	ga_s2bm_ard_3-2-1_55JDK_2019-02-08_final
2019-02-08 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2019-02-08_final
2019-02-09 09:34:08	ga_s2bm_ard_3-2-1_56JMR_2019-02-09_final
2019-02-09 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-02-09_final.stac-item
2019-02-09 09:36:41	ga_s2bm_ard_3-2-1_56HKF_2019-02-09_final
2019-02-09 11:14:46	ga_s2bm_ard_3-2-1_52JDR_2019-02-09_final
2019-02-09 11:15:00	ga_s2bm_ard_3-2-1_52JDQ_2019-02-09_final
2019-02-10 10:44:50	ga_s2bm_ard_3-2-1_53JNK_2019-02-10_final
2019-02-11 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2019-02-11_final
2019-02-11 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2019-02-11_final
2019-02-11 10:17:03	ga_s2bm_ard_3-2-1_54HTF_2019-02-11_final
2019-02-11 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2019-02-11_final
2019-02-11 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2019-02-11_final
2019-02-11 11:55:25	ga_s2bm_ard_3-2-1_50JNQ_2019-02-11_final
2019-02-11 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2019-02-11_final
2019-02-12 09:44:25	ga_s2bm_ard_3-2-1_55JEL_2019-02-12_final
2019-02-12 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2019-02-12_final
2019-02-12 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2019-02-12_final
2019-02-12 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-02-12_final
2019-02-12 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2019-02-12_final
2019-02-14 10:24:31	ga_s2bm_ard_3-2-1_54JWQ_2019-02-14_final
2019-02-14 10:24:41	ga_s2bm_ard_3-2-1_54JVQ_2019-02-14_final
2019-02-14 10:26:59	ga_s2bm_ard_3-2-1_54HTF_2019-02-14_final
2019-02-15 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2019-02-15_final
2019-02-15 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2019-02-15_final
2019-02-15 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2019-02-15_final
2019-02-15 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2019-02-15_final
2019-02-15 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2019-02-15_final
2019-02-15 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2019-02-15_final
2019-02-15 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2019-02-15_final
2019-02-16 09:24:23	ga_s2bm_ard_3-2-1_56JNQ_2019-02-15_final.stac-item
2019-02-16 09:26:44	ga_s2bm_ard_3-2-1_56HKF_2019-02-15_final
2019-02-16 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-02-16_final
2019-02-16 11:04:50	ga_s2bm_ard_3-2-1_52JDR_2019-02-16_final
2019-02-16 11:05:01	ga_s2bm_ard_3-2-1_52JEQ_2019-02-16_final
2019-02-16 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2019-02-16_final
2019-02-18 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2019-02-18_final
2019-02-18 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2019-02-18_final
2019-02-18 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2019-02-18_final
2019-02-19 09:34:08	ga_s2bm_ard_3-2-1_56JMR_2019-02-19_final
2019-02-19 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-02-19_final.stac-item
2019-02-19 09:36:40	ga_s2bm_ard_3-2-1_56HKF_2019-02-19_final
2019-02-19 11:14:46	ga_s2bm_ard_3-2-1_52JDR_2019-02-19_final
2019-02-19 11:14:59	ga_s2bm_ard_3-2-1_52JDQ_2019-02-19_final
2019-02-20 10:44:49	ga_s2bm_ard_3-2-1_53JNK_2019-02-20_final
2019-02-21 10:14:42	ga_s2bm_ard_3-2-1_54JWQ_2019-02-21_final
2019-02-21 10:14:45	ga_s2bm_ard_3-2-1_54JVQ_2019-02-21_final
2019-02-21 10:17:03	ga_s2bm_ard_3-2-1_54HTF_2019-02-21_final
2019-02-21 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2019-02-21_final
2019-02-21 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2019-02-21_final
2019-02-22 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2019-02-22_final
2019-02-22 09:44:35	ga_s2bm_ard_3-2-1_55JEK_2019-02-22_final
2019-02-22 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2019-02-22_final
2019-02-22 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2019-02-22_final
2019-02-22 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2019-02-22_final
2019-02-24 10:24:30	ga_s2bm_ard_3-2-1_54JWQ_2019-02-24_final
2019-02-24 10:24:40	ga_s2bm_ard_3-2-1_54JVQ_2019-02-24_final
2019-02-24 10:26:58	ga_s2bm_ard_3-2-1_54HTF_2019-02-24_final
2019-02-25 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2019-02-25_final
2019-02-25 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2019-02-25_final
2019-02-25 09:54:30	ga_s2bm_ard_3-2-1_55JEK_2019-02-25_final
2019-02-25 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2019-02-25_final
2019-02-25 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2019-02-25_final
2019-02-25 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2019-02-25_final
2019-02-25 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2019-02-25_final
2019-02-26 09:24:22	ga_s2bm_ard_3-2-1_56JNQ_2019-02-25_final.stac-item
2019-02-26 09:26:43	ga_s2bm_ard_3-2-1_56HKF_2019-02-25_final
2019-02-26 11:04:46	ga_s2bm_ard_3-2-1_52JER_2019-02-26_final
2019-02-26 11:04:49	ga_s2bm_ard_3-2-1_52JDR_2019-02-26_final
2019-02-26 11:05:00	ga_s2bm_ard_3-2-1_52JEQ_2019-02-26_final
2019-02-26 11:05:03	ga_s2bm_ard_3-2-1_52JDQ_2019-02-26_final
2019-02-28 10:04:12	ga_s2bm_ard_3-2-1_55JDL_2019-02-28_final
2019-02-28 10:04:22	ga_s2bm_ard_3-2-1_55JDK_2019-02-28_final

Return to ga_s2bm_ard_3 across February 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

February

All days