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
2006-07-22 09:01:27	ga_ls7e_ard_3-0-0_089078_2006-07-21_final
2006-07-22 09:01:51	ga_ls7e_ard_3-0-0_089079_2006-07-21_final
2006-07-22 09:02:14	ga_ls7e_ard_3-0-0_089080_2006-07-21_final
2006-07-22 09:02:38	ga_ls7e_ard_3-1-0_089081_2006-07-21_final
2006-07-22 09:03:02	ga_ls7e_ard_3-0-0_089082_2006-07-21_final
2006-07-22 09:03:26	ga_ls7e_ard_3-0-0_089083_2006-07-21_final
2006-07-22 09:03:50	ga_ls7e_ard_3-0-0_089084_2006-07-21_final
2006-08-14 09:07:10	ga_ls7e_ard_3-0-0_090077_2006-08-13_final
2006-08-14 09:07:34	ga_ls7e_ard_3-0-0_090078_2006-08-13_final
2006-08-14 09:07:58	ga_ls7e_ard_3-0-0_090079_2006-08-13_final
2006-08-14 09:08:22	ga_ls7e_ard_3-0-0_090080_2006-08-13_final
2006-08-16 08:56:48	ga_ls7e_ard_3-0-0_088082_2006-08-15_final
2006-08-23 09:01:22	ga_ls7e_ard_3-0-0_089078_2006-08-22_final
2006-08-23 09:01:46	ga_ls7e_ard_3-0-0_089079_2006-08-22_final
2006-08-23 09:02:10	ga_ls7e_ard_3-0-0_089080_2006-08-22_final
2006-08-23 09:02:34	ga_ls7e_ard_3-1-0_089081_2006-08-22_final
2006-08-23 09:02:58	ga_ls7e_ard_3-0-0_089082_2006-08-22_final
2006-08-23 09:03:22	ga_ls7e_ard_3-0-0_089083_2006-08-22_final
2006-08-23 09:03:46	ga_ls7e_ard_3-0-0_089084_2006-08-22_final
2006-11-02 09:07:15	ga_ls7e_ard_3-0-0_090077_2006-11-01_final
2006-11-02 09:07:39	ga_ls7e_ard_3-0-0_090078_2006-11-01_final
2006-11-02 09:08:03	ga_ls7e_ard_3-0-0_090079_2006-11-01_final
2006-12-20 09:07:41	ga_ls7e_ard_3-0-0_090077_2006-12-19_final
2006-12-20 09:08:05	ga_ls7e_ard_3-0-0_090078_2006-12-19_final
2006-12-20 09:08:29	ga_ls7e_ard_3-0-0_090079_2006-12-19_final
2007-01-19 09:16:06	ga_ls7e_ard_3-0-0_092067_2007-01-18_final
2007-01-19 09:16:30	ga_ls7e_ard_3-0-0_092068_2007-01-18_final
2014-11-10 09:05:23	ga_ls7e_ard_3-0-0_088082_2014-11-09_final
2014-12-10 09:15:53	ga_ls7e_ard_3-0-0_090077_2014-12-09_final
2014-12-10 09:16:17	ga_ls7e_ard_3-0-0_090078_2014-12-09_final
2014-12-10 09:16:41	ga_ls7e_ard_3-0-0_090079_2014-12-09_final
2014-12-10 09:17:05	ga_ls7e_ard_3-0-0_090080_2014-12-09_final
2015-02-05 09:10:25	ga_ls7e_ard_3-0-0_089078_2015-02-04_final
2015-02-05 09:10:49	ga_ls7e_ard_3-0-0_089079_2015-02-04_final
2015-02-05 09:11:12	ga_ls7e_ard_3-0-0_089080_2015-02-04_final
2015-02-05 09:11:36	ga_ls7e_ard_3-1-0_089081_2015-02-04_final
2015-02-05 09:12:00	ga_ls7e_ard_3-0-0_089082_2015-02-04_final
2015-02-05 09:12:24	ga_ls7e_ard_3-0-0_089083_2015-02-04_final
2015-03-25 09:10:46	ga_ls7e_ard_3-0-0_089078_2015-03-24_final
2015-03-25 09:11:10	ga_ls7e_ard_3-0-0_089079_2015-03-24_final
2015-03-25 09:11:34	ga_ls7e_ard_3-0-0_089080_2015-03-24_final
2015-03-25 09:11:57	ga_ls7e_ard_3-1-0_089081_2015-03-24_final
2015-03-25 09:12:21	ga_ls7e_ard_3-0-0_089082_2015-03-24_final
2015-03-25 09:12:45	ga_ls7e_ard_3-0-0_089083_2015-03-24_final
2015-03-25 09:13:09	ga_ls7e_ard_3-0-0_089084_2015-03-24_final
2015-04-17 09:16:43	ga_ls7e_ard_3-0-0_090077_2015-04-16_final
2015-04-17 09:17:07	ga_ls7e_ard_3-0-0_090078_2015-04-16_final
2015-04-17 09:17:31	ga_ls7e_ard_3-0-0_090079_2015-04-16_final
2015-04-17 09:17:55	ga_ls7e_ard_3-0-0_090080_2015-04-16_final
2015-08-07 09:17:19	ga_ls7e_ard_3-0-0_090077_2015-08-06_final
2015-08-07 09:17:43	ga_ls7e_ard_3-0-0_090078_2015-08-06_final
2015-08-07 09:18:06	ga_ls7e_ard_3-0-0_090079_2015-08-06_final
2015-08-07 09:18:30	ga_ls7e_ard_3-0-0_090080_2015-08-06_final
2017-06-02 09:14:16	ga_ls7e_ard_3-0-0_089078_2017-06-01_final
2017-06-02 09:14:40	ga_ls7e_ard_3-0-0_089079_2017-06-01_final
2017-06-02 09:15:04	ga_ls7e_ard_3-0-0_089080_2017-06-01_final
2017-06-02 09:15:28	ga_ls7e_ard_3-1-0_089081_2017-06-01_final
2017-06-02 09:15:52	ga_ls7e_ard_3-0-0_089082_2017-06-01_final
2017-06-02 09:16:16	ga_ls7e_ard_3-0-0_089083_2017-06-01_final
2017-06-02 09:16:40	ga_ls7e_ard_3-0-0_089084_2017-06-01_final
2017-07-27 09:20:09	ga_ls7e_ard_3-0-0_090077_2017-07-26_final
2017-07-27 09:20:33	ga_ls7e_ard_3-0-0_090078_2017-07-26_final
2017-07-27 09:20:57	ga_ls7e_ard_3-0-0_090079_2017-07-26_final
2017-07-27 09:21:21	ga_ls7e_ard_3-0-0_090080_2017-07-26_final
2018-02-04 09:19:56	ga_ls7e_ard_3-0-0_090079_2018-02-03_final
2018-02-04 09:20:20	ga_ls7e_ard_3-0-0_090080_2018-02-03_final
2018-04-09 09:18:21	ga_ls7e_ard_3-0-0_090077_2018-04-08_final
2018-04-09 09:18:44	ga_ls7e_ard_3-0-0_090078_2018-04-08_final
2018-04-09 09:19:08	ga_ls7e_ard_3-0-0_090079_2018-04-08_final
2018-04-09 09:19:32	ga_ls7e_ard_3-0-0_090080_2018-04-08_final
2018-05-20 09:11:52	ga_ls7e_ard_3-0-0_089078_2018-05-19_final
2018-05-20 09:12:16	ga_ls7e_ard_3-0-0_089079_2018-05-19_final
2018-05-20 09:12:40	ga_ls7e_ard_3-0-0_089080_2018-05-19_final
2018-05-20 09:13:04	ga_ls7e_ard_3-1-0_089081_2018-05-19_final
2018-05-20 09:13:28	ga_ls7e_ard_3-0-0_089082_2018-05-19_final
2018-05-20 09:13:52	ga_ls7e_ard_3-0-0_089083_2018-05-19_final
2018-05-20 09:14:16	ga_ls7e_ard_3-0-0_089084_2018-05-19_final
2019-01-15 09:06:31	ga_ls7e_ard_3-0-0_089078_2019-01-14_final
2019-01-15 09:06:55	ga_ls7e_ard_3-0-0_089079_2019-01-14_final
2019-01-15 09:07:18	ga_ls7e_ard_3-0-0_089080_2019-01-14_final
2019-01-15 09:07:42	ga_ls7e_ard_3-1-0_089081_2019-01-14_final
2019-01-15 09:08:06	ga_ls7e_ard_3-0-0_089082_2019-01-14_final
2019-01-15 09:08:30	ga_ls7e_ard_3-0-0_089083_2019-01-14_final
2019-01-15 09:08:54	ga_ls7e_ard_3-0-0_089084_2019-01-14_final
2019-01-31 09:05:59	ga_ls7e_ard_3-0-0_089078_2019-01-30_final
2019-01-31 09:06:23	ga_ls7e_ard_3-0-0_089079_2019-01-30_final
2019-01-31 09:06:47	ga_ls7e_ard_3-0-0_089080_2019-01-30_final
2019-01-31 09:07:11	ga_ls7e_ard_3-1-0_089081_2019-01-30_final
2019-01-31 09:07:35	ga_ls7e_ard_3-0-0_089082_2019-01-30_final
2019-01-31 09:07:59	ga_ls7e_ard_3-0-0_089083_2019-01-30_final
2019-01-31 09:08:23	ga_ls7e_ard_3-0-0_089084_2019-01-30_final
2019-02-23 09:11:05	ga_ls7e_ard_3-1-0_090077_2019-02-22_final
2019-02-23 09:11:29	ga_ls7e_ard_3-1-0_090078_2019-02-22_final
2019-02-23 09:11:53	ga_ls7e_ard_3-1-0_090079_2019-02-22_final
2019-02-23 09:12:17	ga_ls7e_ard_3-1-0_090080_2019-02-22_final
2019-05-14 09:08:17	ga_ls7e_ard_3-0-0_090077_2019-05-13_final
2019-05-14 09:08:41	ga_ls7e_ard_3-0-0_090078_2019-05-13_final
2019-05-14 09:09:05	ga_ls7e_ard_3-0-0_090079_2019-05-13_final
2019-05-14 09:09:29	ga_ls7e_ard_3-0-0_090080_2019-05-13_final
2019-05-23 09:02:09	ga_ls7e_ard_3-0-0_089078_2019-05-22_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