Search ga_s2bm_ard_3 across September 2017

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
2017-09-02 10:26:31	ga_s2bm_ard_3-2-1_54HTG_2017-09-02_final
2017-09-02 10:26:31	ga_s2bm_ard_3-2-1_53HQB_2017-09-02_final
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KDQ_2017-09-03_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51HVE_2017-09-03_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_51HTB_2017-09-03_final.stac-item
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HQG_2017-09-03_final.stac-item
2017-09-04 09:22:38	ga_s2bm_ard_3-2-1_55HFS_2017-09-03_final.stac-item
2017-09-04 09:22:38	ga_s2bm_ard_3-2-1_56HKG_2017-09-03_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HME_2017-09-05_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HNE_2017-09-05_final
2017-09-06 09:57:00	ga_s2bm_ard_3-2-1_55KDQ_2017-09-06_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HYG_2017-09-06_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_55HBB_2017-09-06_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HWK_2017-09-06_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HFS_2017-09-07_final.stac-item
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HGB_2017-09-07_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_56HKG_2017-09-07_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HDS_2017-09-07_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HES_2017-09-07_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HTG_2017-09-09_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_53HQB_2017-09-09_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HVK_2017-09-09_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HWK_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HNK_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMK_2017-09-09_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLG_2017-09-09_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HVB_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HWB_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HUB_2017-09-10_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HVE_2017-09-10_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HWE_2017-09-10_final
2017-09-11 10:53:06	ga_s2bm_ard_3-2-1_52HDK_2017-09-11_final.stac-item
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_54HTG_2017-09-12_final
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_53HQB_2017-09-12_final
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_50KMV_2017-09-12_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_54HYB_2017-09-13_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_54HYG_2017-09-13_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_55HBB_2017-09-13_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_55HDE_2017-09-13_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_55HBS_2017-09-13_final
2017-09-13 11:35:54	ga_s2bm_ard_3-2-1_51HVE_2017-09-13_final
2017-09-13 11:36:05	ga_s2bm_ard_3-2-1_51HVE_2017-09-13_final
2017-09-14 11:02:49	ga_s2bm_ard_3-2-1_52HDK_2017-09-14_final.stac-item
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HYG_2017-09-16_final
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_55HBB_2017-09-16_final
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_54HWK_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNK_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMK_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLG_2017-09-16_final.stac-item
2017-09-17 09:36:18	ga_s2bm_ard_3-2-1_55HGB_2017-09-17_final
2017-09-17 09:36:18	ga_s2bm_ard_3-2-1_56HKG_2017-09-17_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HXB_2017-09-17_final.stac-item
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HWE_2017-09-17_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53HME_2017-09-18_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HTG_2017-09-19_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_53HQB_2017-09-19_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HVK_2017-09-19_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HWK_2017-09-19_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HNK_2017-09-19_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HMK_2017-09-19_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HEC_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_54HYB_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HGB_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HDE_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HBS_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HDS_2017-09-20_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HES_2017-09-20_final
2017-09-20 11:25:57	ga_s2bm_ard_3-2-1_51HVE_2017-09-20_final
2017-09-20 11:25:57	ga_s2bm_ard_3-2-1_51HWE_2017-09-20_final
2017-09-22 10:26:24	ga_s2bm_ard_3-2-1_54HTG_2017-09-22_final
2017-09-22 10:26:24	ga_s2bm_ard_3-2-1_53HQB_2017-09-22_final
2017-09-23 09:55:42	ga_s2bm_ard_3-2-1_54HYG_2017-09-23_final
2017-09-23 09:55:42	ga_s2bm_ard_3-2-1_55HBB_2017-09-23_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTB_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQG_2017-09-23_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HVE_2017-09-23_final
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_55HFS_2017-09-23_final.stac-item
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_56HKG_2017-09-23_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53HME_2017-09-25_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53HNE_2017-09-25_final
2017-09-26 09:56:53	ga_s2bm_ard_3-2-1_55KDQ_2017-09-26_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HYG_2017-09-26_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_55HBB_2017-09-26_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HWK_2017-09-26_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HFS_2017-09-27_final.stac-item
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HGB_2017-09-27_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_56HKG_2017-09-27_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HDS_2017-09-27_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HES_2017-09-27_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_54HTG_2017-09-29_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_53HQB_2017-09-29_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_54HVK_2017-09-29_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_54HWK_2017-09-29_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HNK_2017-09-29_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HMK_2017-09-29_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HTB_2017-09-30_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HWB_2017-09-30_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HUB_2017-09-30_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HVE_2017-09-30_final

Return to ga_s2bm_ard_3 across September 2017 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

2017

September

All days