Search ga_s2bm_ard_3 across November 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
2020-11-02 10:10:43	ga_s2bm_ard_3-2-1_54LZL_2020-11-02_final
2020-11-02 10:12:53	ga_s2bm_ard_3-2-1_54KZB_2020-11-02_final
2020-11-02 10:17:21	ga_s2bm_ard_3-2-1_54HTE_2020-11-02_final.stac-item
2020-11-02 11:51:16	ga_s2bm_ard_3-2-1_51LUF_2020-11-02_final
2020-11-03 09:43:15	ga_s2bm_ard_3-2-1_55KHQ_2020-11-03_final
2020-11-03 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2020-11-03_final
2020-11-03 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2020-11-03_final.stac-item
2020-11-03 11:24:35	ga_s2bm_ard_3-2-1_51JZM_2020-11-03_final
2020-11-04 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-11-04_final
2020-11-04 10:50:58	ga_s2bm_ard_3-2-1_53LMF_2020-11-04_final
2020-11-04 10:51:02	ga_s2bm_ard_3-2-1_53LLF_2020-11-04_final
2020-11-04 10:53:45	ga_s2bm_ard_3-2-1_52KHV_2020-11-04_final
2020-11-04 10:54:28	ga_s2bm_ard_3-2-1_52JHS_2020-11-04_final
2020-11-05 10:20:48	ga_s2bm_ard_3-2-1_54LWL_2020-11-05_final
2020-11-05 10:27:15	ga_s2bm_ard_3-2-1_53HQV_2020-11-05_final.stac-item
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-11-05_final
2020-11-06 09:57:08	ga_s2bm_ard_3-2-1_55HBV_2020-11-06_final
2020-11-06 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2020-11-06_final
2020-11-06 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2020-11-06_final
2020-11-07 09:27:03	ga_s2bm_ard_3-2-1_55HGV_2020-11-06_final
2020-11-07 11:00:50	ga_s2bm_ard_3-2-1_53LMF_2020-11-07_final
2020-11-07 11:01:00	ga_s2bm_ard_3-2-1_53LME_2020-11-07_final
2020-11-07 11:01:04	ga_s2bm_ard_3-2-1_52LGL_2020-11-07_final
2020-11-07 11:03:35	ga_s2bm_ard_3-2-1_52KHV_2020-11-07_final
2020-11-08 10:30:46	ga_s2bm_ard_3-2-1_54LVL_2020-11-08_final.stac-item
2020-11-09 10:06:57	ga_s2bm_ard_3-2-1_55HBV_2020-11-09_final
2020-11-09 11:41:16	ga_s2bm_ard_3-2-1_51LVF_2020-11-09_final
2020-11-09 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-11-09_final
2020-11-09 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-11-09_final
2020-11-09 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2020-11-09_final
2020-11-09 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2020-11-09_final
2020-11-10 09:36:58	ga_s2bm_ard_3-2-1_55HGV_2020-11-10_final
2020-11-10 11:11:03	ga_s2bm_ard_3-2-1_52LFL_2020-11-10_final
2020-11-10 11:11:06	ga_s2bm_ard_3-2-1_52LEL_2020-11-10_final.stac-item
2020-11-10 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2020-11-10_final
2020-11-12 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2020-11-12_final
2020-11-12 10:12:51	ga_s2bm_ard_3-2-1_54KZB_2020-11-12_final
2020-11-12 10:17:19	ga_s2bm_ard_3-2-1_54HTE_2020-11-12_final.stac-item
2020-11-12 11:51:14	ga_s2bm_ard_3-2-1_51LUF_2020-11-12_final
2020-11-13 09:43:13	ga_s2bm_ard_3-2-1_55KHQ_2020-11-13_final
2020-11-13 09:47:00	ga_s2bm_ard_3-2-1_55HCA_2020-11-13_final
2020-11-13 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2020-11-13_final
2020-11-13 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2020-11-13_final.stac-item
2020-11-13 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2020-11-13_final
2020-11-14 10:50:54	ga_s2bm_ard_3-2-1_53LNF_2020-11-14_final
2020-11-14 10:50:57	ga_s2bm_ard_3-2-1_53LMF_2020-11-14_final
2020-11-14 10:51:00	ga_s2bm_ard_3-2-1_53LLF_2020-11-14_final
2020-11-14 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2020-11-14_final
2020-11-14 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2020-11-14_final
2020-11-15 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2020-11-15_final
2020-11-15 10:27:13	ga_s2bm_ard_3-2-1_54HTE_2020-11-15_final.stac-item
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2020-11-15_final.stac-item
2020-11-15 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-15_final
2020-11-16 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2020-11-16_final
2020-11-16 09:58:06	ga_s2bm_ard_3-2-1_54GYA_2020-11-16_final
2020-11-16 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2020-11-16_final
2020-11-18 10:30:45	ga_s2bm_ard_3-2-1_54LVL_2020-11-18_final.stac-item
2020-11-19 10:06:56	ga_s2bm_ard_3-2-1_55HBV_2020-11-19_final
2020-11-19 11:41:16	ga_s2bm_ard_3-2-1_51LVF_2020-11-19_final
2020-11-19 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2020-11-19_final
2020-11-19 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2020-11-19_final
2020-11-19 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2020-11-19_final
2020-11-20 09:36:57	ga_s2bm_ard_3-2-1_55HGV_2020-11-20_final
2020-11-20 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2020-11-20_final
2020-11-20 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2020-11-20_final.stac-item
2020-11-20 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2020-11-20_final
2020-11-22 10:10:41	ga_s2bm_ard_3-2-1_54LZL_2020-11-22_final
2020-11-22 10:12:51	ga_s2bm_ard_3-2-1_54KZB_2020-11-22_final
2020-11-22 10:17:18	ga_s2bm_ard_3-2-1_54HTE_2020-11-22_final.stac-item
2020-11-22 11:51:14	ga_s2bm_ard_3-2-1_51LUF_2020-11-22_final
2020-11-23 09:43:12	ga_s2bm_ard_3-2-1_55KHQ_2020-11-23_final
2020-11-23 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2020-11-23_final
2020-11-23 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2020-11-23_final.stac-item
2020-11-23 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2020-11-23_final
2020-11-24 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2020-11-24_final
2020-11-24 10:50:56	ga_s2bm_ard_3-2-1_53LMF_2020-11-24_final
2020-11-24 10:51:00	ga_s2bm_ard_3-2-1_53LLF_2020-11-24_final
2020-11-24 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2020-11-24_final
2020-11-24 10:54:26	ga_s2bm_ard_3-2-1_52JHS_2020-11-24_final
2020-11-25 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2020-11-25_final
2020-11-25 10:27:12	ga_s2bm_ard_3-2-1_54HTE_2020-11-25_final.stac-item
2020-11-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-25_final
2020-11-26 09:57:06	ga_s2bm_ard_3-2-1_55HBV_2020-11-26_final
2020-11-26 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2020-11-26_final
2020-11-26 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2020-11-26_final
2020-11-27 09:27:01	ga_s2bm_ard_3-2-1_55HGV_2020-11-26_final
2020-11-27 11:00:48	ga_s2bm_ard_3-2-1_53LMF_2020-11-27_final
2020-11-27 11:01:02	ga_s2bm_ard_3-2-1_52LGL_2020-11-27_final
2020-11-27 11:03:33	ga_s2bm_ard_3-2-1_52KHV_2020-11-27_final
2020-11-28 10:30:44	ga_s2bm_ard_3-2-1_54LVL_2020-11-28_final.stac-item
2020-11-29 10:06:55	ga_s2bm_ard_3-2-1_55HBV_2020-11-29_final
2020-11-29 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2020-11-29_final
2020-11-29 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2020-11-29_final
2020-11-29 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2020-11-29_final
2020-11-29 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2020-11-29_final
2020-11-30 09:36:56	ga_s2bm_ard_3-2-1_55HGV_2020-11-30_final
2020-11-30 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2020-11-30_final
2020-11-30 11:11:01	ga_s2bm_ard_3-2-1_52LEL_2020-11-30_final.stac-item
2020-11-30 11:11:06	ga_s2bm_ard_3-2-1_52LFL_2020-11-30_final
2020-11-30 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2020-11-30_final.stac-item

Return to ga_s2bm_ard_3 across November 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

November

All days