Search ga_s2bm_ard_3 across August 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
2019-08-01 09:44:03	ga_s2bm_ard_3-2-1_55JHM_2019-08-01_final
2019-08-01 11:22:59	ga_s2bm_ard_3-2-1_52KBD_2019-08-01_final
2019-08-01 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-08-01_final
2019-08-02 10:51:01	ga_s2bm_ard_3-2-1_53LNF_2019-08-02_final
2019-08-02 10:51:07	ga_s2bm_ard_3-2-1_53LLF_2019-08-02_final
2019-08-02 10:52:52	ga_s2bm_ard_3-2-1_52KHD_2019-08-02_final
2019-08-03 10:20:47	ga_s2bm_ard_3-2-1_54LYL_2019-08-03_final
2019-08-03 10:20:53	ga_s2bm_ard_3-2-1_54LWL_2019-08-03_final
2019-08-03 10:24:26	ga_s2bm_ard_3-2-1_53JRM_2019-08-03_final
2019-08-03 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-08-03_final
2019-08-04 09:52:21	ga_s2bm_ard_3-2-1_55KGU_2019-08-04_final
2019-08-04 09:53:55	ga_s2bm_ard_3-2-1_55JEN_2019-08-04_final
2019-08-04 09:53:58	ga_s2bm_ard_3-2-1_55JDN_2019-08-04_final
2019-08-04 11:31:50	ga_s2bm_ard_3-2-1_51LXD_2019-08-04_final
2019-08-04 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2019-08-04_final
2019-08-04 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-08-04_final
2019-08-04 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-08-04_final
2019-08-05 11:01:07	ga_s2bm_ard_3-2-1_52LHL_2019-08-05_final
2019-08-05 11:01:10	ga_s2bm_ard_3-2-1_52LGL_2019-08-05_final
2019-08-06 10:30:48	ga_s2bm_ard_3-2-1_54LWL_2019-08-06_final
2019-08-06 10:30:52	ga_s2bm_ard_3-2-1_54LVL_2019-08-06_final.stac-item
2019-08-06 10:34:21	ga_s2bm_ard_3-2-1_53JRM_2019-08-06_final
2019-08-07 10:04:14	ga_s2bm_ard_3-2-1_54JZS_2019-08-07_final
2019-08-07 11:41:22	ga_s2bm_ard_3-2-1_51LVF_2019-08-07_final
2019-08-07 11:41:55	ga_s2bm_ard_3-2-1_51LUD_2019-08-07_final.stac-item
2019-08-07 11:43:11	ga_s2bm_ard_3-2-1_50KRD_2019-08-07_final
2019-08-07 11:44:52	ga_s2bm_ard_3-2-1_50JRS_2019-08-07_final
2019-08-08 09:34:08	ga_s2bm_ard_3-2-1_55JHM_2019-08-08_final
2019-08-09 10:40:58	ga_s2bm_ard_3-2-1_53LQF_2019-08-09_final.stac-item
2019-08-09 10:41:01	ga_s2bm_ard_3-2-1_53LPF_2019-08-09_final
2019-08-10 10:12:29	ga_s2bm_ard_3-2-1_54KZD_2019-08-10_final
2019-08-10 11:51:45	ga_s2bm_ard_3-2-1_51LUD_2019-08-10_final.stac-item
2019-08-10 11:51:50	ga_s2bm_ard_3-2-1_51LUD_2019-08-10_final.stac-item
2019-08-10 11:53:06	ga_s2bm_ard_3-2-1_50KRD_2019-08-10_final
2019-08-11 09:44:02	ga_s2bm_ard_3-2-1_55JHM_2019-08-11_final
2019-08-11 11:22:58	ga_s2bm_ard_3-2-1_52KBD_2019-08-11_final
2019-08-11 11:23:03	ga_s2bm_ard_3-2-1_51KYU_2019-08-11_final
2019-08-12 10:51:00	ga_s2bm_ard_3-2-1_53LNF_2019-08-12_final
2019-08-12 10:51:06	ga_s2bm_ard_3-2-1_53LLF_2019-08-12_final
2019-08-12 10:52:51	ga_s2bm_ard_3-2-1_52KHD_2019-08-12_final
2019-08-13 10:20:46	ga_s2bm_ard_3-2-1_54LYL_2019-08-13_final
2019-08-13 10:20:52	ga_s2bm_ard_3-2-1_54LWL_2019-08-13_final
2019-08-13 10:24:25	ga_s2bm_ard_3-2-1_53JRM_2019-08-13_final
2019-08-13 12:05:03	ga_s2bm_ard_3-2-1_49JHM_2019-08-13_final
2019-08-14 09:52:20	ga_s2bm_ard_3-2-1_55KGU_2019-08-14_final
2019-08-14 09:53:57	ga_s2bm_ard_3-2-1_55JDN_2019-08-14_final
2019-08-14 11:31:49	ga_s2bm_ard_3-2-1_51LXD_2019-08-14_final
2019-08-14 11:32:57	ga_s2bm_ard_3-2-1_51KYU_2019-08-14_final
2019-08-14 11:34:56	ga_s2bm_ard_3-2-1_50JRS_2019-08-14_final
2019-08-15 11:01:06	ga_s2bm_ard_3-2-1_52LHL_2019-08-15_final
2019-08-15 11:01:09	ga_s2bm_ard_3-2-1_52LGL_2019-08-15_final
2019-08-16 10:30:47	ga_s2bm_ard_3-2-1_54LWL_2019-08-16_final
2019-08-16 10:30:51	ga_s2bm_ard_3-2-1_54LVL_2019-08-16_final.stac-item
2019-08-16 10:34:20	ga_s2bm_ard_3-2-1_53JRM_2019-08-16_final
2019-08-17 10:04:13	ga_s2bm_ard_3-2-1_54JZS_2019-08-17_final
2019-08-17 11:41:21	ga_s2bm_ard_3-2-1_51LVF_2019-08-17_final
2019-08-17 11:41:53	ga_s2bm_ard_3-2-1_51LUD_2019-08-17_final.stac-item
2019-08-17 11:43:10	ga_s2bm_ard_3-2-1_50KRD_2019-08-17_final
2019-08-17 11:44:51	ga_s2bm_ard_3-2-1_50JRS_2019-08-17_final
2019-08-18 09:34:07	ga_s2bm_ard_3-2-1_55JHM_2019-08-18_final
2019-08-19 10:40:57	ga_s2bm_ard_3-2-1_53LQF_2019-08-19_final.stac-item
2019-08-19 10:41:00	ga_s2bm_ard_3-2-1_53LPF_2019-08-19_final
2019-08-20 10:12:27	ga_s2bm_ard_3-2-1_54KZD_2019-08-20_final
2019-08-20 11:51:44	ga_s2bm_ard_3-2-1_51LUD_2019-08-20_final.stac-item
2019-08-20 11:51:49	ga_s2bm_ard_3-2-1_51LUD_2019-08-20_final.stac-item
2019-08-20 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2019-08-20_final
2019-08-21 09:44:01	ga_s2bm_ard_3-2-1_55JHM_2019-08-21_final
2019-08-21 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2019-08-21_final
2019-08-21 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2019-08-21_final
2019-08-22 10:50:58	ga_s2bm_ard_3-2-1_53LNF_2019-08-22_final
2019-08-22 10:51:05	ga_s2bm_ard_3-2-1_53LLF_2019-08-22_final
2019-08-22 10:52:50	ga_s2bm_ard_3-2-1_52KHD_2019-08-22_final
2019-08-23 10:20:44	ga_s2bm_ard_3-2-1_54LYL_2019-08-23_final
2019-08-23 10:20:51	ga_s2bm_ard_3-2-1_54LWL_2019-08-23_final
2019-08-23 10:24:24	ga_s2bm_ard_3-2-1_53JRM_2019-08-23_final
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2019-08-23_final
2019-08-24 09:52:18	ga_s2bm_ard_3-2-1_55KGU_2019-08-24_final
2019-08-24 09:53:52	ga_s2bm_ard_3-2-1_55JEN_2019-08-24_final
2019-08-24 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2019-08-24_final
2019-08-24 11:31:47	ga_s2bm_ard_3-2-1_51LXD_2019-08-24_final
2019-08-24 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2019-08-24_final
2019-08-24 11:34:54	ga_s2bm_ard_3-2-1_50JRS_2019-08-24_final
2019-08-25 11:01:03	ga_s2bm_ard_3-2-1_53LKF_2019-08-25_final
2019-08-25 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2019-08-25_final
2019-08-26 10:30:45	ga_s2bm_ard_3-2-1_54LWL_2019-08-26_final
2019-08-26 10:30:49	ga_s2bm_ard_3-2-1_54LVL_2019-08-26_final.stac-item
2019-08-26 10:34:19	ga_s2bm_ard_3-2-1_53JRM_2019-08-26_final
2019-08-27 10:04:11	ga_s2bm_ard_3-2-1_54JZS_2019-08-27_final
2019-08-27 11:41:19	ga_s2bm_ard_3-2-1_51LVF_2019-08-27_final
2019-08-27 11:41:52	ga_s2bm_ard_3-2-1_51LUD_2019-08-27_final.stac-item
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2019-08-27_final
2019-08-27 11:44:49	ga_s2bm_ard_3-2-1_50JRS_2019-08-27_final
2019-08-28 09:34:05	ga_s2bm_ard_3-2-1_55JHM_2019-08-28_final
2019-08-28 11:10:51	ga_s2bm_ard_3-2-1_52LHL_2019-08-28_final
2019-08-29 10:40:55	ga_s2bm_ard_3-2-1_53LQF_2019-08-29_final.stac-item
2019-08-29 10:40:58	ga_s2bm_ard_3-2-1_53LPF_2019-08-29_final
2019-08-30 10:12:25	ga_s2bm_ard_3-2-1_54KZD_2019-08-30_final
2019-08-30 11:53:03	ga_s2bm_ard_3-2-1_50KRD_2019-08-30_final
2019-08-31 09:43:59	ga_s2bm_ard_3-2-1_55JHM_2019-08-31_final
2019-08-31 11:22:55	ga_s2bm_ard_3-2-1_52KBD_2019-08-31_final

Return to ga_s2bm_ard_3 across August 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

August

All days