Search ga_ls7e_ard_3 across December 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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-12-02 09:30:25	ga_ls7e_ard_3-1-0_098084_2020-12-02_final
2020-12-02 09:30:49	ga_ls7e_ard_3-1-0_098085_2020-12-02_final
2020-12-02 11:05:19	ga_ls7e_ard_3-1-0_114074_2020-12-02_final
2020-12-02 11:05:43	ga_ls7e_ard_3-1-0_114075_2020-12-02_final
2020-12-02 11:06:06	ga_ls7e_ard_3-1-0_114076_2020-12-02_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-02 11:07:18	ga_ls7e_ard_3-1-0_114079_2020-12-02_final
2020-12-02 11:07:42	ga_ls7e_ard_3-1-0_114080_2020-12-02_final
2020-12-02 11:08:06	ga_ls7e_ard_3-1-0_114081_2020-12-02_final
2020-12-03 08:32:20	ga_ls7e_ard_3-1-0_089078_2020-12-02_final
2020-12-03 08:33:56	ga_ls7e_ard_3-1-0_089082_2020-12-02_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-03 10:07:37	ga_ls7e_ard_3-1-0_105069_2020-12-03_final
2020-12-03 10:08:01	ga_ls7e_ard_3-1-0_105070_2020-12-03_final
2020-12-03 10:08:25	ga_ls7e_ard_3-1-0_105071_2020-12-03_final
2020-12-03 10:08:49	ga_ls7e_ard_3-1-0_105072_2020-12-03_final
2020-12-03 10:09:13	ga_ls7e_ard_3-1-0_105073_2020-12-03_final
2020-12-03 10:09:37	ga_ls7e_ard_3-1-0_105074_2020-12-03_final
2020-12-03 10:10:01	ga_ls7e_ard_3-1-0_105075_2020-12-03_final
2020-12-03 10:11:13	ga_ls7e_ard_3-1-0_105078_2020-12-03_final
2020-12-03 10:11:37	ga_ls7e_ard_3-1-0_105079_2020-12-03_final
2020-12-03 10:12:01	ga_ls7e_ard_3-1-0_105080_2020-12-03_final
2020-12-03 10:12:25	ga_ls7e_ard_3-1-0_105081_2020-12-03_final
2020-12-03 10:12:49	ga_ls7e_ard_3-1-0_105082_2020-12-03_final
2020-12-04 09:11:08	ga_ls7e_ard_3-1-0_096067_2020-12-03_final
2020-12-04 09:12:20	ga_ls7e_ard_3-1-0_096070_2020-12-03_final
2020-12-04 09:12:44	ga_ls7e_ard_3-1-0_096071_2020-12-03_final
2020-12-04 09:13:07	ga_ls7e_ard_3-1-0_096072_2020-12-03_final
2020-12-04 09:13:31	ga_ls7e_ard_3-1-0_096073_2020-12-03_final
2020-12-04 09:13:55	ga_ls7e_ard_3-1-0_096074_2020-12-03_final
2020-12-04 09:14:19	ga_ls7e_ard_3-1-0_096075_2020-12-03_final
2020-12-04 09:14:43	ga_ls7e_ard_3-1-0_096076_2020-12-03_final
2020-12-04 09:15:07	ga_ls7e_ard_3-1-0_096077_2020-12-03_final
2020-12-04 09:15:31	ga_ls7e_ard_3-1-0_096078_2020-12-03_final
2020-12-04 09:15:55	ga_ls7e_ard_3-1-0_096079_2020-12-03_final
2020-12-04 09:16:19	ga_ls7e_ard_3-1-0_096080_2020-12-03_final
2020-12-04 09:16:43	ga_ls7e_ard_3-1-0_096081_2020-12-03_final
2020-12-04 09:17:07	ga_ls7e_ard_3-1-0_096082_2020-12-03_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_final
2020-12-04 09:17:55	ga_ls7e_ard_3-1-0_096084_2020-12-03_final
2020-12-04 09:18:19	ga_ls7e_ard_3-1-0_096085_2020-12-03_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2020-12-04 10:53:12	ga_ls7e_ard_3-1-0_112075_2020-12-04_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-04 10:54:24	ga_ls7e_ard_3-1-0_112078_2020-12-04_final
2020-12-04 10:54:48	ga_ls7e_ard_3-1-0_112079_2020-12-04_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2020-12-04 10:56:24	ga_ls7e_ard_3-1-0_112083_2020-12-04_final
2020-12-18 11:04:06	ga_ls7e_ard_3-1-0_114074_2020-12-18_final
2020-12-18 11:04:30	ga_ls7e_ard_3-1-0_114075_2020-12-18_final
2020-12-18 11:04:54	ga_ls7e_ard_3-1-0_114076_2020-12-18_final
2020-12-18 11:05:18	ga_ls7e_ard_3-1-0_114077_2020-12-18_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2020-12-18 11:06:06	ga_ls7e_ard_3-1-0_114079_2020-12-18_final
2020-12-18 11:06:30	ga_ls7e_ard_3-1-0_114080_2020-12-18_final
2020-12-18 11:06:54	ga_ls7e_ard_3-1-0_114081_2020-12-18_final
2020-12-19 08:31:08	ga_ls7e_ard_3-1-0_089078_2020-12-18_final
2020-12-19 08:31:56	ga_ls7e_ard_3-1-0_089080_2020-12-18_final
2020-12-19 08:32:19	ga_ls7e_ard_3-1-0_089081_2020-12-18_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2020-12-19 08:34:19	ga_ls7e_ard_3-1-0_089086_2020-12-18_final
2020-12-19 10:08:25	ga_ls7e_ard_3-1-0_105074_2020-12-19_final
2020-12-19 10:08:48	ga_ls7e_ard_3-1-0_105075_2020-12-19_final
2020-12-19 10:09:12	ga_ls7e_ard_3-1-0_105076_2020-12-19_final
2020-12-19 10:09:36	ga_ls7e_ard_3-1-0_105077_2020-12-19_final
2020-12-19 10:10:00	ga_ls7e_ard_3-1-0_105078_2020-12-19_final
2020-12-19 10:10:24	ga_ls7e_ard_3-1-0_105079_2020-12-19_final
2020-12-19 10:10:48	ga_ls7e_ard_3-1-0_105080_2020-12-19_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2020-12-20 09:09:55	ga_ls7e_ard_3-1-0_096067_2020-12-19_final
2020-12-20 09:11:31	ga_ls7e_ard_3-1-0_096071_2020-12-19_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-20 09:12:19	ga_ls7e_ard_3-1-0_096073_2020-12-19_final
2020-12-20 09:12:43	ga_ls7e_ard_3-1-0_096074_2020-12-19_final
2020-12-20 09:13:07	ga_ls7e_ard_3-1-0_096075_2020-12-19_final
2020-12-20 09:13:31	ga_ls7e_ard_3-1-0_096076_2020-12-19_final
2020-12-20 09:13:55	ga_ls7e_ard_3-1-0_096077_2020-12-19_final
2020-12-20 09:14:19	ga_ls7e_ard_3-1-0_096078_2020-12-19_final
2020-12-20 09:14:42	ga_ls7e_ard_3-1-0_096079_2020-12-19_final
2020-12-20 09:15:54	ga_ls7e_ard_3-1-0_096082_2020-12-19_final
2020-12-20 09:16:18	ga_ls7e_ard_3-1-0_096083_2020-12-19_final
2020-12-20 09:16:42	ga_ls7e_ard_3-1-0_096084_2020-12-19_final
2020-12-20 09:17:06	ga_ls7e_ard_3-1-0_096085_2020-12-19_final
2020-12-20 09:17:30	ga_ls7e_ard_3-1-0_096086_2020-12-19_final
2020-12-20 10:48:48	ga_ls7e_ard_3-1-0_112067_2020-12-20_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-20 10:52:23	ga_ls7e_ard_3-1-0_112076_2020-12-20_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:11	ga_ls7e_ard_3-1-0_112078_2020-12-20_final
2020-12-20 10:53:35	ga_ls7e_ard_3-1-0_112079_2020-12-20_final
2020-12-20 10:53:59	ga_ls7e_ard_3-1-0_112080_2020-12-20_final
2020-12-20 10:54:23	ga_ls7e_ard_3-1-0_112081_2020-12-20_final
2020-12-20 10:54:47	ga_ls7e_ard_3-1-0_112082_2020-12-20_final
2020-12-20 10:55:11	ga_ls7e_ard_3-1-0_112083_2020-12-20_final

Return to ga_ls7e_ard_3 across December 2020 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2020

December

All days