Search ga_s2bm_ard_3 across January 2020

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
2020-01-01 09:53:42	ga_s2bm_ard_3-2-1_55JEN_2020-01-01_final
2020-01-01 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2020-01-01_final
2020-01-01 09:56:03	ga_s2bm_ard_3-2-1_55HBD_2020-01-01_final
2020-01-01 09:56:05	ga_s2bm_ard_3-2-1_54HYJ_2020-01-01_final
2020-01-01 09:56:11	ga_s2bm_ard_3-2-1_55HDC_2020-01-01_final
2020-01-02 09:23:35	ga_s2bm_ard_3-2-1_56JNT_2020-01-01_final
2020-01-02 09:28:11	ga_s2bm_ard_3-2-1_55GFQ_2020-01-01_final
2020-01-03 10:35:51	ga_s2bm_ard_3-2-1_53JMF_2020-01-03_final
2020-01-03 10:36:34	ga_s2bm_ard_3-2-1_53HMC_2020-01-03_final.stac-item
2020-01-04 10:03:41	ga_s2bm_ard_3-2-1_55JDN_2020-01-04_final
2020-01-04 10:03:59	ga_s2bm_ard_3-2-1_55JCM_2020-01-04_final
2020-01-04 10:05:57	ga_s2bm_ard_3-2-1_55HBD_2020-01-04_final
2020-01-04 10:05:58	ga_s2bm_ard_3-2-1_54HYJ_2020-01-04_final
2020-01-04 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2020-01-04_final
2020-01-04 10:06:04	ga_s2bm_ard_3-2-1_54HYJ_2020-01-04_final
2020-01-04 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-01-04_final
2020-01-05 09:33:30	ga_s2bm_ard_3-2-1_56JNT_2020-01-05_final
2020-01-05 09:33:52	ga_s2bm_ard_3-2-1_56JLS_2020-01-05_final
2020-01-05 09:35:52	ga_s2bm_ard_3-2-1_56HKJ_2020-01-05_final
2020-01-05 09:38:07	ga_s2bm_ard_3-2-1_55GFQ_2020-01-05_final
2020-01-05 09:38:11	ga_s2bm_ard_3-2-1_55GEQ_2020-01-05_final
2020-01-05 09:38:15	ga_s2bm_ard_3-2-1_55GDQ_2020-01-05_final
2020-01-05 11:16:48	ga_s2bm_ard_3-2-1_51HWC_2020-01-05_final.stac-item
2020-01-05 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2020-01-05_final.stac-item
2020-01-06 10:45:38	ga_s2bm_ard_3-2-1_53JMF_2020-01-06_final
2020-01-06 10:45:46	ga_s2bm_ard_3-2-1_53JMF_2020-01-06_final
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final
2020-01-08 09:43:47	ga_s2bm_ard_3-2-1_56JLS_2020-01-08_final
2020-01-08 09:48:03	ga_s2bm_ard_3-2-1_55GEQ_2020-01-08_final
2020-01-08 09:48:06	ga_s2bm_ard_3-2-1_55GDQ_2020-01-08_final
2020-01-08 09:48:07	ga_s2bm_ard_3-2-1_55GCQ_2020-01-08_final
2020-01-08 09:48:09	ga_s2bm_ard_3-2-1_55GEQ_2020-01-08_final
2020-01-08 09:48:12	ga_s2bm_ard_3-2-1_55GDQ_2020-01-08_final
2020-01-08 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2020-01-08_final.stac-item
2020-01-10 10:24:11	ga_s2bm_ard_3-2-1_54JUS_2020-01-10_final
2020-01-10 10:27:06	ga_s2bm_ard_3-2-1_54HTE_2020-01-10_final.stac-item
2020-01-11 09:53:42	ga_s2bm_ard_3-2-1_55JEN_2020-01-11_final
2020-01-11 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2020-01-11_final
2020-01-11 09:56:03	ga_s2bm_ard_3-2-1_55HBD_2020-01-11_final
2020-01-11 09:56:04	ga_s2bm_ard_3-2-1_54HYJ_2020-01-11_final
2020-01-11 09:56:10	ga_s2bm_ard_3-2-1_55HDC_2020-01-11_final
2020-01-12 09:23:34	ga_s2bm_ard_3-2-1_56JNT_2020-01-11_final
2020-01-12 09:28:10	ga_s2bm_ard_3-2-1_55GFQ_2020-01-11_final
2020-01-13 10:35:50	ga_s2bm_ard_3-2-1_53JMF_2020-01-13_final
2020-01-13 10:36:34	ga_s2bm_ard_3-2-1_53HMC_2020-01-13_final.stac-item
2020-01-14 10:03:41	ga_s2bm_ard_3-2-1_55JDN_2020-01-14_final
2020-01-14 10:03:58	ga_s2bm_ard_3-2-1_55JCM_2020-01-14_final
2020-01-14 10:05:58	ga_s2bm_ard_3-2-1_55HBD_2020-01-14_final
2020-01-14 10:06:00	ga_s2bm_ard_3-2-1_54HYJ_2020-01-14_final
2020-01-14 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-01-14_final
2020-01-15 09:33:30	ga_s2bm_ard_3-2-1_56JNT_2020-01-15_final
2020-01-15 09:33:51	ga_s2bm_ard_3-2-1_56JLS_2020-01-15_final
2020-01-15 09:35:51	ga_s2bm_ard_3-2-1_56HKJ_2020-01-15_final
2020-01-15 09:38:06	ga_s2bm_ard_3-2-1_55GFQ_2020-01-15_final
2020-01-15 09:38:10	ga_s2bm_ard_3-2-1_55GEQ_2020-01-15_final
2020-01-15 09:38:14	ga_s2bm_ard_3-2-1_55GDQ_2020-01-15_final
2020-01-15 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2020-01-15_final.stac-item
2020-01-16 10:45:45	ga_s2bm_ard_3-2-1_53JMF_2020-01-16_final
2020-01-16 10:46:25	ga_s2bm_ard_3-2-1_53HMC_2020-01-16_final.stac-item
2020-01-17 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-01-17_final
2020-01-18 09:43:46	ga_s2bm_ard_3-2-1_56JLS_2020-01-18_final
2020-01-18 09:48:05	ga_s2bm_ard_3-2-1_55GEQ_2020-01-18_final
2020-01-18 09:48:10	ga_s2bm_ard_3-2-1_55GDQ_2020-01-18_final
2020-01-18 11:26:48	ga_s2bm_ard_3-2-1_51HWC_2020-01-18_final.stac-item
2020-01-20 10:24:10	ga_s2bm_ard_3-2-1_54JUS_2020-01-20_final
2020-01-21 09:53:41	ga_s2bm_ard_3-2-1_55JEN_2020-01-21_final
2020-01-21 09:54:03	ga_s2bm_ard_3-2-1_55JCM_2020-01-21_final
2020-01-21 09:55:59	ga_s2bm_ard_3-2-1_55HBD_2020-01-21_final
2020-01-21 09:56:00	ga_s2bm_ard_3-2-1_54HYJ_2020-01-21_final
2020-01-21 09:56:03	ga_s2bm_ard_3-2-1_55HDC_2020-01-21_final
2020-01-21 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2020-01-21_final
2020-01-21 09:56:07	ga_s2bm_ard_3-2-1_54HYJ_2020-01-21_final
2020-01-21 09:56:10	ga_s2bm_ard_3-2-1_55HDC_2020-01-21_final
2020-01-22 09:23:33	ga_s2bm_ard_3-2-1_56JNT_2020-01-21_final
2020-01-22 09:28:09	ga_s2bm_ard_3-2-1_55GFQ_2020-01-21_final
2020-01-23 10:35:49	ga_s2bm_ard_3-2-1_53JMF_2020-01-23_final
2020-01-23 10:36:32	ga_s2bm_ard_3-2-1_53HMC_2020-01-23_final.stac-item
2020-01-24 10:03:39	ga_s2bm_ard_3-2-1_55JDN_2020-01-24_final
2020-01-24 10:03:57	ga_s2bm_ard_3-2-1_55JCM_2020-01-24_final
2020-01-24 10:05:57	ga_s2bm_ard_3-2-1_55HBD_2020-01-24_final
2020-01-24 10:05:59	ga_s2bm_ard_3-2-1_54HYJ_2020-01-24_final
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final
2020-01-25 09:33:28	ga_s2bm_ard_3-2-1_56JNT_2020-01-25_final
2020-01-25 09:33:50	ga_s2bm_ard_3-2-1_56JLS_2020-01-25_final
2020-01-25 09:35:50	ga_s2bm_ard_3-2-1_56HKJ_2020-01-25_final
2020-01-25 09:38:05	ga_s2bm_ard_3-2-1_55GFQ_2020-01-25_final
2020-01-25 09:38:09	ga_s2bm_ard_3-2-1_55GEQ_2020-01-25_final
2020-01-25 09:38:13	ga_s2bm_ard_3-2-1_55GDQ_2020-01-25_final
2020-01-25 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2020-01-25_final.stac-item
2020-01-26 10:45:44	ga_s2bm_ard_3-2-1_53JMF_2020-01-26_final
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final
2020-01-28 09:43:45	ga_s2bm_ard_3-2-1_56JLS_2020-01-28_final
2020-01-28 09:48:04	ga_s2bm_ard_3-2-1_55GEQ_2020-01-28_final
2020-01-28 09:48:09	ga_s2bm_ard_3-2-1_55GDQ_2020-01-28_final
2020-01-28 11:26:47	ga_s2bm_ard_3-2-1_51HWC_2020-01-28_final.stac-item
2020-01-30 10:24:08	ga_s2bm_ard_3-2-1_54JUS_2020-01-30_final
2020-01-31 09:53:40	ga_s2bm_ard_3-2-1_55JEN_2020-01-31_final
2020-01-31 09:54:01	ga_s2bm_ard_3-2-1_55JCM_2020-01-31_final
2020-01-31 09:56:01	ga_s2bm_ard_3-2-1_55HBD_2020-01-31_final
2020-01-31 09:56:02	ga_s2bm_ard_3-2-1_54HYJ_2020-01-31_final

Return to ga_s2bm_ard_3 across January 2020 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

2020

January

All days