Search ga_s2bm_ard_3 across September 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
2020-09-01 09:36:16	ga_s2bm_ard_3-2-1_55HGC_2020-09-01_final
2020-09-01 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2020-09-01_final.stac-item
2020-09-01 09:37:50	ga_s2bm_ard_3-2-1_55HES_2020-09-01_final
2020-09-01 09:37:54	ga_s2bm_ard_3-2-1_55HDS_2020-09-01_final
2020-09-01 09:38:08	ga_s2bm_ard_3-2-1_55GDR_2020-09-01_final
2020-09-01 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2020-09-01_final.stac-item
2020-09-03 11:51:42	ga_s2bm_ard_3-2-1_51LUD_2020-09-03_final.stac-item
2020-09-04 09:46:10	ga_s2bm_ard_3-2-1_55HGC_2020-09-04_final
2020-09-04 09:47:07	ga_s2bm_ard_3-2-1_55HDV_2020-09-04_final
2020-09-04 09:47:46	ga_s2bm_ard_3-2-1_55HES_2020-09-04_final
2020-09-04 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2020-09-04_final
2020-09-04 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2020-09-04_final
2020-09-04 09:47:57	ga_s2bm_ard_3-2-1_55HBS_2020-09-04_final
2020-09-04 09:48:05	ga_s2bm_ard_3-2-1_55GDR_2020-09-04_final
2020-09-04 11:21:43	ga_s2bm_ard_3-2-1_51LZD_2020-09-04_final
2020-09-04 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2020-09-04_final.stac-item
2020-09-04 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2020-09-04_final.stac-item
2020-09-07 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2020-09-07_final
2020-09-07 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2020-09-07_final
2020-09-07 09:56:25	ga_s2bm_ard_3-2-1_55HBC_2020-09-07_final
2020-09-07 09:56:27	ga_s2bm_ard_3-2-1_54HYH_2020-09-07_final
2020-09-07 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2020-09-07_final
2020-09-07 09:57:50	ga_s2bm_ard_3-2-1_55HCS_2020-09-07_final
2020-09-07 09:57:53	ga_s2bm_ard_3-2-1_55HBS_2020-09-07_final
2020-09-07 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2020-09-07_final
2020-09-07 11:31:42	ga_s2bm_ard_3-2-1_51LYD_2020-09-07_final
2020-09-07 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2020-09-07_final.stac-item
2020-09-07 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-09-07_final.stac-item
2020-09-08 09:27:52	ga_s2bm_ard_3-2-1_55HFS_2020-09-07_final.stac-item
2020-09-09 10:35:58	ga_s2bm_ard_3-2-1_53JMF_2020-09-09_final
2020-09-10 10:06:06	ga_s2bm_ard_3-2-1_55HBD_2020-09-10_final
2020-09-10 10:06:09	ga_s2bm_ard_3-2-1_54HYJ_2020-09-10_final
2020-09-10 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2020-09-10_final
2020-09-11 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2020-09-11_final
2020-09-11 09:37:46	ga_s2bm_ard_3-2-1_55HFS_2020-09-11_final.stac-item
2020-09-11 09:37:50	ga_s2bm_ard_3-2-1_55HES_2020-09-11_final
2020-09-11 09:37:54	ga_s2bm_ard_3-2-1_55HDS_2020-09-11_final
2020-09-11 09:38:08	ga_s2bm_ard_3-2-1_55GDR_2020-09-11_final
2020-09-13 10:16:23	ga_s2bm_ard_3-2-1_54HTJ_2020-09-13_final
2020-09-14 09:46:09	ga_s2bm_ard_3-2-1_55HGC_2020-09-14_final
2020-09-14 09:47:45	ga_s2bm_ard_3-2-1_55HES_2020-09-14_final
2020-09-14 09:47:49	ga_s2bm_ard_3-2-1_55HDS_2020-09-14_final
2020-09-14 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2020-09-14_final
2020-09-14 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2020-09-14_final
2020-09-14 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2020-09-14_final
2020-09-14 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2020-09-14_final
2020-09-14 11:27:14	ga_s2bm_ard_3-2-1_51HUB_2020-09-14_final.stac-item
2020-09-14 11:27:16	ga_s2bm_ard_3-2-1_51HTB_2020-09-14_final.stac-item
2020-09-16 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2020-09-16_final
2020-09-17 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2020-09-17_final
2020-09-17 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2020-09-17_final
2020-09-17 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2020-09-17_final
2020-09-17 09:56:26	ga_s2bm_ard_3-2-1_54HYH_2020-09-17_final
2020-09-17 09:57:42	ga_s2bm_ard_3-2-1_55HCS_2020-09-17_final
2020-09-17 09:57:42	ga_s2bm_ard_3-2-1_55HBS_2020-09-17_final
2020-09-17 09:57:49	ga_s2bm_ard_3-2-1_55HCS_2020-09-17_final
2020-09-17 09:57:52	ga_s2bm_ard_3-2-1_55HBS_2020-09-17_final
2020-09-17 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2020-09-17_final
2020-09-17 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2020-09-17_final
2020-09-17 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2020-09-17_final.stac-item
2020-09-17 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-09-17_final.stac-item
2020-09-18 09:27:51	ga_s2bm_ard_3-2-1_55HFS_2020-09-17_final.stac-item
2020-09-19 10:35:57	ga_s2bm_ard_3-2-1_53JMF_2020-09-19_final
2020-09-20 10:06:06	ga_s2bm_ard_3-2-1_55HBD_2020-09-20_final
2020-09-20 10:06:08	ga_s2bm_ard_3-2-1_54HYJ_2020-09-20_final
2020-09-20 10:06:21	ga_s2bm_ard_3-2-1_55HBC_2020-09-20_final
2020-09-20 10:06:29	ga_s2bm_ard_3-2-1_55HBC_2020-09-20_final
2020-09-21 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2020-09-21_final
2020-09-21 09:37:46	ga_s2bm_ard_3-2-1_55HFS_2020-09-21_final.stac-item
2020-09-21 09:37:49	ga_s2bm_ard_3-2-1_55HES_2020-09-21_final
2020-09-21 09:37:53	ga_s2bm_ard_3-2-1_55HDS_2020-09-21_final
2020-09-21 09:38:07	ga_s2bm_ard_3-2-1_55GDR_2020-09-21_final
2020-09-21 11:17:08	ga_s2bm_ard_3-2-1_51HXB_2020-09-21_final.stac-item
2020-09-23 10:16:23	ga_s2bm_ard_3-2-1_54HTJ_2020-09-23_final
2020-09-24 09:46:10	ga_s2bm_ard_3-2-1_55HGC_2020-09-24_final
2020-09-24 09:47:46	ga_s2bm_ard_3-2-1_55HES_2020-09-24_final
2020-09-24 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2020-09-24_final
2020-09-24 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2020-09-24_final
2020-09-24 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2020-09-24_final
2020-09-24 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2020-09-24_final
2020-09-24 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2020-09-24_final
2020-09-24 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2020-09-24_final.stac-item
2020-09-24 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2020-09-24_final.stac-item
2020-09-26 10:26:18	ga_s2bm_ard_3-2-1_54HTJ_2020-09-26_final
2020-09-27 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2020-09-27_final
2020-09-27 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2020-09-27_final
2020-09-27 09:56:25	ga_s2bm_ard_3-2-1_55HBC_2020-09-27_final
2020-09-27 09:56:27	ga_s2bm_ard_3-2-1_54HYH_2020-09-27_final
2020-09-27 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2020-09-27_final
2020-09-27 09:57:43	ga_s2bm_ard_3-2-1_55HBS_2020-09-27_final
2020-09-27 09:57:50	ga_s2bm_ard_3-2-1_55HCS_2020-09-27_final
2020-09-27 09:57:53	ga_s2bm_ard_3-2-1_55HBS_2020-09-27_final
2020-09-27 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2020-09-27_final
2020-09-27 11:31:42	ga_s2bm_ard_3-2-1_51LYD_2020-09-27_final
2020-09-27 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2020-09-27_final.stac-item
2020-09-27 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-09-27_final.stac-item
2020-09-28 09:27:52	ga_s2bm_ard_3-2-1_55HFS_2020-09-27_final.stac-item
2020-09-30 10:06:07	ga_s2bm_ard_3-2-1_55HBD_2020-09-30_final
2020-09-30 10:06:09	ga_s2bm_ard_3-2-1_54HYJ_2020-09-30_final
2020-09-30 10:06:22	ga_s2bm_ard_3-2-1_55HBC_2020-09-30_final

Return to ga_s2bm_ard_3 across September 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

September

All days