Search ga_ls7e_ard_3 whole collection

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
2004-11-01 11:05:47	ga_ls7e_ard_3-0-0_109082_2004-11-01_final
2004-11-01 11:06:10	ga_ls7e_ard_3-0-0_109083_2004-11-01_final
2004-11-01 11:06:34	ga_ls7e_ard_3-0-0_109084_2004-11-01_final
2005-02-26 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-02-26_final
2005-02-26 11:22:20	ga_ls7e_ard_3-0-0_112075_2005-02-26_final
2011-07-14 11:19:36	ga_ls7e_ard_3-0-0_111074_2011-07-14_final
2011-07-14 11:20:00	ga_ls7e_ard_3-0-0_111075_2011-07-14_final
2011-07-14 11:20:24	ga_ls7e_ard_3-0-0_111076_2011-07-14_final
2011-07-14 11:20:48	ga_ls7e_ard_3-0-0_111077_2011-07-14_final
2011-07-14 11:21:12	ga_ls7e_ard_3-0-0_111078_2011-07-14_final
2011-07-14 11:21:36	ga_ls7e_ard_3-0-0_111079_2011-07-14_final
2011-07-14 11:22:00	ga_ls7e_ard_3-0-0_111080_2011-07-14_final
2011-09-02 11:10:16	ga_ls7e_ard_3-0-0_109082_2011-09-02_final
2011-09-02 11:10:40	ga_ls7e_ard_3-0-0_109083_2011-09-02_final
2013-01-08 11:22:15	ga_ls7e_ard_3-0-0_111074_2013-01-08_final
2013-01-08 11:22:39	ga_ls7e_ard_3-0-0_111075_2013-01-08_final
2013-01-08 11:23:03	ga_ls7e_ard_3-0-0_111076_2013-01-08_final
2013-01-08 11:23:27	ga_ls7e_ard_3-0-0_111077_2013-01-08_final
2013-01-08 11:23:50	ga_ls7e_ard_3-0-0_111078_2013-01-08_final
2013-01-22 11:31:50	ga_ls7e_ard_3-0-0_113067_2013-01-22_final
2013-01-24 11:24:16	ga_ls7e_ard_3-0-0_111079_2013-01-24_final
2013-01-24 11:24:40	ga_ls7e_ard_3-0-0_111080_2013-01-24_final
2013-01-26 11:13:07	ga_ls7e_ard_3-0-0_109082_2013-01-26_final
2013-01-26 11:13:31	ga_ls7e_ard_3-0-0_109083_2013-01-26_final
2013-01-26 11:13:55	ga_ls7e_ard_3-0-0_109084_2013-01-26_final
2013-05-14 11:31:32	ga_ls7e_ard_3-0-0_113067_2013-05-14_final
2013-05-16 11:21:57	ga_ls7e_ard_3-0-0_111074_2013-05-16_final
2013-05-16 11:22:21	ga_ls7e_ard_3-0-0_111075_2013-05-16_final
2013-05-16 11:22:45	ga_ls7e_ard_3-0-0_111076_2013-05-16_final
2013-05-16 11:23:09	ga_ls7e_ard_3-0-0_111077_2013-05-16_final
2013-05-16 11:23:33	ga_ls7e_ard_3-0-0_111078_2013-05-16_final
2013-05-16 11:23:57	ga_ls7e_ard_3-0-0_111079_2013-05-16_final
2013-05-16 11:24:21	ga_ls7e_ard_3-0-0_111080_2013-05-16_final
2013-05-18 11:12:47	ga_ls7e_ard_3-0-0_109082_2013-05-18_final
2013-05-18 11:13:11	ga_ls7e_ard_3-0-0_109083_2013-05-18_final
2013-05-18 11:13:35	ga_ls7e_ard_3-0-0_109084_2013-05-18_final
2013-05-30 11:31:25	ga_ls7e_ard_3-0-0_113067_2013-05-30_final
2013-06-01 11:23:25	ga_ls7e_ard_3-0-0_111078_2013-06-01_final
2013-06-01 11:23:49	ga_ls7e_ard_3-0-0_111079_2013-06-01_final
2013-06-01 11:24:13	ga_ls7e_ard_3-0-0_111080_2013-06-01_final
2013-06-03 11:13:26	ga_ls7e_ard_3-0-0_109084_2013-06-03_final
2013-06-19 11:12:33	ga_ls7e_ard_3-0-0_109082_2013-06-19_final
2013-06-19 11:12:57	ga_ls7e_ard_3-0-0_109083_2013-06-19_final
2013-06-19 11:13:21	ga_ls7e_ard_3-0-0_109084_2013-06-19_final
2017-12-23 11:19:12	ga_ls7e_ard_3-0-0_109082_2017-12-23_final
2017-12-23 11:19:36	ga_ls7e_ard_3-0-0_109083_2017-12-23_final
2017-12-28 11:34:29	ga_ls7e_ard_3-0-0_112074_2017-12-28_final
2017-12-28 11:34:53	ga_ls7e_ard_3-0-0_112075_2017-12-28_final
2018-01-06 11:28:11	ga_ls7e_ard_3-0-0_111074_2018-01-06_final
2018-01-06 11:28:35	ga_ls7e_ard_3-0-0_111075_2018-01-06_final
2018-01-06 11:28:59	ga_ls7e_ard_3-0-0_111076_2018-01-06_final
2018-01-06 11:29:23	ga_ls7e_ard_3-0-0_111077_2018-01-06_final
2018-01-06 11:29:47	ga_ls7e_ard_3-0-0_111078_2018-01-06_final
2018-01-06 11:30:11	ga_ls7e_ard_3-0-0_111079_2018-01-06_final
2018-01-06 11:30:35	ga_ls7e_ard_3-0-0_111080_2018-01-06_final
2018-01-08 11:18:59	ga_ls7e_ard_3-0-0_109082_2018-01-08_final
2018-01-08 11:19:23	ga_ls7e_ard_3-0-0_109083_2018-01-08_final
2018-01-08 11:19:47	ga_ls7e_ard_3-0-0_109084_2018-01-08_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-02-07 11:27:40	ga_ls7e_ard_3-0-0_111074_2018-02-07_final
2018-02-07 11:28:04	ga_ls7e_ard_3-0-0_111075_2018-02-07_final
2018-02-07 11:28:28	ga_ls7e_ard_3-0-0_111076_2018-02-07_final
2018-02-07 11:28:52	ga_ls7e_ard_3-0-0_111077_2018-02-07_final
2018-02-07 11:29:16	ga_ls7e_ard_3-0-0_111078_2018-02-07_final
2018-02-07 11:29:40	ga_ls7e_ard_3-0-0_111079_2018-02-07_final
2018-02-07 11:30:04	ga_ls7e_ard_3-0-0_111080_2018-02-07_final
2018-02-09 11:18:29	ga_ls7e_ard_3-0-0_109082_2018-02-09_final
2018-02-09 11:18:53	ga_ls7e_ard_3-0-0_109083_2018-02-09_final
2018-02-09 11:19:17	ga_ls7e_ard_3-0-0_109084_2018-02-09_final
2018-02-14 11:33:48	ga_ls7e_ard_3-0-0_112074_2018-02-14_final
2018-02-14 11:34:11	ga_ls7e_ard_3-0-0_112075_2018-02-14_final
2018-02-14 11:34:35	ga_ls7e_ard_3-0-0_112076_2018-02-14_final
2018-02-21 11:37:07	ga_ls7e_ard_3-0-0_113067_2018-02-21_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-04-12 11:26:53	ga_ls7e_ard_3-0-0_111074_2018-04-12_final
2018-04-12 11:27:17	ga_ls7e_ard_3-0-0_111075_2018-04-12_final
2018-04-12 11:27:41	ga_ls7e_ard_3-0-0_111076_2018-04-12_final
2018-04-12 11:28:05	ga_ls7e_ard_3-0-0_111077_2018-04-12_final
2018-04-12 11:28:29	ga_ls7e_ard_3-0-0_111078_2018-04-12_final
2018-04-12 11:28:53	ga_ls7e_ard_3-0-0_111079_2018-04-12_final
2018-04-12 11:29:16	ga_ls7e_ard_3-0-0_111080_2018-04-12_final
2018-04-14 11:17:41	ga_ls7e_ard_3-0-0_109082_2018-04-14_final
2018-04-14 11:18:05	ga_ls7e_ard_3-0-0_109083_2018-04-14_final
2018-07-24 11:31:14	ga_ls7e_ard_3-0-0_112074_2018-07-24_final
2018-07-24 11:31:38	ga_ls7e_ard_3-0-0_112075_2018-07-24_final
2018-07-24 11:32:02	ga_ls7e_ard_3-0-0_112076_2018-07-24_final
2018-08-02 11:24:54	ga_ls7e_ard_3-0-0_111074_2018-08-02_final
2018-08-02 11:25:18	ga_ls7e_ard_3-0-0_111075_2018-08-02_final
2018-08-02 11:25:42	ga_ls7e_ard_3-0-0_111076_2018-08-02_final
2018-08-02 11:26:06	ga_ls7e_ard_3-0-0_111077_2018-08-02_final
2018-08-02 11:26:30	ga_ls7e_ard_3-0-0_111078_2018-08-02_final
2018-08-02 11:26:54	ga_ls7e_ard_3-0-0_111079_2018-08-02_final
2018-08-02 11:27:18	ga_ls7e_ard_3-0-0_111080_2018-08-02_final
2019-09-04 11:22:01	ga_ls7e_ard_3-1-0_113067_2019-09-04_final
2019-12-09 11:17:44	ga_ls7e_ard_3-1-0_113067_2019-12-09_final
2020-02-06 11:00:59	ga_ls7e_ard_3-1-0_110079_2020-02-06_final
2020-02-06 11:01:23	ga_ls7e_ard_3-1-0_110080_2020-02-06_final
2020-02-06 11:01:47	ga_ls7e_ard_3-1-0_110081_2020-02-06_final
2020-02-06 11:02:11	ga_ls7e_ard_3-1-0_110082_2020-02-06_final
2020-02-06 11:02:35	ga_ls7e_ard_3-1-0_110083_2020-02-06_final

Return to ga_ls7e_ard_3 whole collection 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

All years