Search ga_ls7e_ard_3 across January 2021

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
2021-01-02 08:42:06	ga_ls7e_ard_3-1-0_091077_2021-01-01_final
2021-01-02 08:42:30	ga_ls7e_ard_3-1-0_091078_2021-01-01_final
2021-01-02 08:42:54	ga_ls7e_ard_3-1-0_091079_2021-01-01_final
2021-01-02 08:43:18	ga_ls7e_ard_3-1-0_091080_2021-01-01_final
2021-01-02 08:43:42	ga_ls7e_ard_3-1-0_091081_2021-01-01_final
2021-01-02 08:44:06	ga_ls7e_ard_3-1-0_091082_2021-01-01_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-02 08:44:54	ga_ls7e_ard_3-1-0_091084_2021-01-01_final
2021-01-02 08:45:18	ga_ls7e_ard_3-1-0_091085_2021-01-01_final
2021-01-02 08:45:42	ga_ls7e_ard_3-1-0_091086_2021-01-01_final
2021-01-02 08:46:05	ga_ls7e_ard_3-1-0_091087_2021-01-01_final
2021-01-02 08:46:29	ga_ls7e_ard_3-1-0_091088_2021-01-01_final
2021-01-02 08:46:53	ga_ls7e_ard_3-1-0_091089_2021-01-01_final
2021-01-02 08:47:17	ga_ls7e_ard_3-1-0_091090_2021-01-01_final
2021-01-02 10:18:11	ga_ls7e_ard_3-1-0_107070_2021-01-02_final
2021-01-02 10:18:35	ga_ls7e_ard_3-1-0_107071_2021-01-02_final
2021-01-02 10:18:59	ga_ls7e_ard_3-1-0_107072_2021-01-02_final
2021-01-02 10:19:23	ga_ls7e_ard_3-1-0_107073_2021-01-02_final
2021-01-02 10:19:47	ga_ls7e_ard_3-1-0_107074_2021-01-02_final
2021-01-02 10:20:35	ga_ls7e_ard_3-1-0_107076_2021-01-02_final
2021-01-02 10:20:59	ga_ls7e_ard_3-1-0_107077_2021-01-02_final
2021-01-02 10:21:23	ga_ls7e_ard_3-1-0_107078_2021-01-02_final
2021-01-03 09:21:18	ga_ls7e_ard_3-1-0_098067_2021-01-02_final
2021-01-03 09:21:42	ga_ls7e_ard_3-1-0_098068_2021-01-02_final
2021-01-03 09:22:06	ga_ls7e_ard_3-1-0_098069_2021-01-02_final
2021-01-03 09:24:06	ga_ls7e_ard_3-1-0_098074_2021-01-02_final
2021-01-03 09:24:29	ga_ls7e_ard_3-1-0_098075_2021-01-02_final
2021-01-03 09:24:53	ga_ls7e_ard_3-1-0_098076_2021-01-02_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-03 09:25:41	ga_ls7e_ard_3-1-0_098078_2021-01-02_final
2021-01-03 09:26:05	ga_ls7e_ard_3-1-0_098079_2021-01-02_final
2021-01-03 09:26:29	ga_ls7e_ard_3-1-0_098080_2021-01-02_final
2021-01-03 09:26:53	ga_ls7e_ard_3-1-0_098081_2021-01-02_final
2021-01-03 09:27:41	ga_ls7e_ard_3-1-0_098083_2021-01-02_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-01-03 11:02:58	ga_ls7e_ard_3-1-0_114074_2021-01-03_final
2021-01-03 11:03:22	ga_ls7e_ard_3-1-0_114075_2021-01-03_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-03 11:04:10	ga_ls7e_ard_3-1-0_114077_2021-01-03_final
2021-01-03 11:04:34	ga_ls7e_ard_3-1-0_114078_2021-01-03_final
2021-01-03 11:04:58	ga_ls7e_ard_3-1-0_114079_2021-01-03_final
2021-01-03 11:05:22	ga_ls7e_ard_3-1-0_114080_2021-01-03_final
2021-01-03 11:05:46	ga_ls7e_ard_3-1-0_114081_2021-01-03_final
2021-01-04 08:30:00	ga_ls7e_ard_3-1-0_089078_2021-01-03_final
2021-01-04 08:32:00	ga_ls7e_ard_3-1-0_089083_2021-01-03_final
2021-01-04 08:32:24	ga_ls7e_ard_3-1-0_089084_2021-01-03_final
2021-01-04 08:32:48	ga_ls7e_ard_3-1-0_089085_2021-01-03_final
2021-01-04 10:04:53	ga_ls7e_ard_3-1-0_105068_2021-01-04_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-01-04 10:05:41	ga_ls7e_ard_3-1-0_105070_2021-01-04_final
2021-01-04 10:06:05	ga_ls7e_ard_3-1-0_105071_2021-01-04_final
2021-01-04 10:06:29	ga_ls7e_ard_3-1-0_105072_2021-01-04_final
2021-01-04 10:06:53	ga_ls7e_ard_3-1-0_105073_2021-01-04_final
2021-01-04 10:07:17	ga_ls7e_ard_3-1-0_105074_2021-01-04_final
2021-01-04 10:07:41	ga_ls7e_ard_3-1-0_105075_2021-01-04_final
2021-01-04 10:08:05	ga_ls7e_ard_3-1-0_105076_2021-01-04_final
2021-01-04 10:08:29	ga_ls7e_ard_3-1-0_105077_2021-01-04_final
2021-01-04 10:08:53	ga_ls7e_ard_3-1-0_105078_2021-01-04_final
2021-01-04 10:09:17	ga_ls7e_ard_3-1-0_105079_2021-01-04_final
2021-01-04 10:09:41	ga_ls7e_ard_3-1-0_105080_2021-01-04_final
2021-01-04 10:10:29	ga_ls7e_ard_3-1-0_105082_2021-01-04_final
2021-01-05 09:08:48	ga_ls7e_ard_3-1-0_096067_2021-01-04_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-05 09:10:24	ga_ls7e_ard_3-1-0_096071_2021-01-04_final
2021-01-07 10:36:23	ga_ls7e_ard_3-1-0_110070_2021-01-07_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-07 10:37:11	ga_ls7e_ard_3-1-0_110072_2021-01-07_final
2021-01-07 10:37:34	ga_ls7e_ard_3-1-0_110073_2021-01-07_final
2021-01-07 10:37:58	ga_ls7e_ard_3-1-0_110074_2021-01-07_final
2021-01-07 10:38:22	ga_ls7e_ard_3-1-0_110075_2021-01-07_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-01-07 10:39:10	ga_ls7e_ard_3-1-0_110077_2021-01-07_final
2021-01-07 10:39:34	ga_ls7e_ard_3-1-0_110078_2021-01-07_final
2021-01-07 10:39:58	ga_ls7e_ard_3-1-0_110079_2021-01-07_final
2021-01-07 10:40:22	ga_ls7e_ard_3-1-0_110080_2021-01-07_final
2021-01-07 10:40:46	ga_ls7e_ard_3-1-0_110081_2021-01-07_final
2021-01-07 10:41:10	ga_ls7e_ard_3-1-0_110082_2021-01-07_final
2021-01-07 10:41:34	ga_ls7e_ard_3-1-0_110083_2021-01-07_final
2021-01-07 10:41:58	ga_ls7e_ard_3-1-0_110084_2021-01-07_final
2021-01-08 09:41:05	ga_ls7e_ard_3-1-0_101071_2021-01-08_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-08 09:41:53	ga_ls7e_ard_3-1-0_101073_2021-01-08_final
2021-01-08 09:42:17	ga_ls7e_ard_3-1-0_101074_2021-01-08_final
2021-01-08 09:42:41	ga_ls7e_ard_3-1-0_101075_2021-01-08_final
2021-01-08 09:43:05	ga_ls7e_ard_3-1-0_101076_2021-01-08_final
2021-01-08 09:43:29	ga_ls7e_ard_3-1-0_101077_2021-01-08_final
2021-01-08 09:43:53	ga_ls7e_ard_3-1-0_101078_2021-01-08_final
2021-01-08 09:44:17	ga_ls7e_ard_3-1-0_101079_2021-01-08_final
2021-01-08 09:44:41	ga_ls7e_ard_3-1-0_101080_2021-01-08_final
2021-01-08 09:45:05	ga_ls7e_ard_3-1-0_101081_2021-01-08_final
2021-01-08 09:45:29	ga_ls7e_ard_3-1-0_101082_2021-01-08_final
2021-01-08 09:45:53	ga_ls7e_ard_3-1-0_101083_2021-01-08_final
2021-01-09 08:48:59	ga_ls7e_ard_3-1-0_092080_2021-01-08_final
2021-01-09 08:52:11	ga_ls7e_ard_3-1-0_092088_2021-01-08_final
2021-01-09 10:23:29	ga_ls7e_ard_3-1-0_108069_2021-01-09_final
2021-01-09 10:24:17	ga_ls7e_ard_3-1-0_108071_2021-01-09_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-01-09 10:25:28	ga_ls7e_ard_3-1-0_108074_2021-01-09_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-09 10:26:16	ga_ls7e_ard_3-1-0_108076_2021-01-09_final

Return to ga_ls7e_ard_3 across January 2021 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2021

January

All days