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
2010-01-12 11:43:04	ga_ls7e_ard_3-0-0_115076_2010-01-12_final
2010-01-12 11:43:28	ga_ls7e_ard_3-1-0_115077_2010-01-12_final
2010-01-12 11:43:52	ga_ls7e_ard_3-0-0_115078_2010-01-12_final
2010-01-12 11:44:16	ga_ls7e_ard_3-0-0_115079_2010-01-12_final
2010-04-02 11:43:48	ga_ls7e_ard_3-0-0_115076_2010-04-02_final
2010-04-02 11:44:12	ga_ls7e_ard_3-1-0_115077_2010-04-02_final
2010-04-02 11:44:36	ga_ls7e_ard_3-0-0_115078_2010-04-02_final
2010-04-04 11:34:39	ga_ls7e_ard_3-0-0_113084_2010-04-04_final
2010-04-11 11:39:38	ga_ls7e_ard_3-0-0_114081_2010-04-11_final
2015-09-07 11:51:53	ga_ls7e_ard_3-1-0_115077_2015-09-07_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2015-09-07 11:52:41	ga_ls7e_ard_3-0-0_115079_2015-09-07_final
2015-09-23 11:51:58	ga_ls7e_ard_3-0-0_115077_2015-09-23_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2015-09-23 11:52:46	ga_ls7e_ard_3-0-0_115079_2015-09-23_final
2015-09-25 11:42:24	ga_ls7e_ard_3-0-0_113084_2015-09-25_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2015-10-09 11:52:29	ga_ls7e_ard_3-0-0_115078_2015-10-09_final
2015-10-11 11:42:33	ga_ls7e_ard_3-0-0_113084_2015-10-11_final
2015-10-25 11:52:22	ga_ls7e_ard_3-1-0_115077_2015-10-25_final
2015-10-25 11:52:46	ga_ls7e_ard_3-0-0_115078_2015-10-25_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-11-26 11:52:52	ga_ls7e_ard_3-0-0_115077_2015-11-26_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2015-11-26 11:53:40	ga_ls7e_ard_3-0-0_115079_2015-11-26_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2015-12-12 11:53:32	ga_ls7e_ard_3-0-0_115078_2015-12-12_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2015-12-28 11:53:20	ga_ls7e_ard_3-1-0_115077_2015-12-28_final
2015-12-28 11:53:44	ga_ls7e_ard_3-0-0_115078_2015-12-28_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2016-02-14 11:53:53	ga_ls7e_ard_3-1-0_115077_2016-02-14_final
2016-02-14 11:54:16	ga_ls7e_ard_3-0-0_115078_2016-02-14_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-02-16 11:44:19	ga_ls7e_ard_3-0-0_113084_2016-02-16_final
2016-03-03 11:44:25	ga_ls7e_ard_3-0-0_113084_2016-03-03_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-03-17 11:54:30	ga_ls7e_ard_3-0-0_115078_2016-03-17_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-03-19 11:44:33	ga_ls7e_ard_3-0-0_113084_2016-03-19_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-04-18 11:54:42	ga_ls7e_ard_3-0-0_115078_2016-04-18_final
2016-04-18 11:55:05	ga_ls7e_ard_3-0-0_115079_2016-04-18_final
2017-03-06 11:44:33	ga_ls7e_ard_3-0-0_113084_2017-03-06_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-04-07 11:44:43	ga_ls7e_ard_3-0-0_113084_2017-04-07_final
2017-04-23 11:44:50	ga_ls7e_ard_3-0-0_113084_2017-04-23_final
2017-06-17 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-06-17_final
2017-07-10 11:54:40	ga_ls7e_ard_3-1-0_115077_2017-07-10_final
2017-07-10 11:55:04	ga_ls7e_ard_3-0-0_115078_2017-07-10_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-08-11 11:55:01	ga_ls7e_ard_3-0-0_115078_2017-08-11_final
2017-08-11 11:55:25	ga_ls7e_ard_3-0-0_115079_2017-08-11_final
2017-08-13 11:45:02	ga_ls7e_ard_3-0-0_113084_2017-08-13_final
2017-09-05 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-09-05_final
2017-09-12 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-12_final
2017-09-14 11:45:01	ga_ls7e_ard_3-0-0_113084_2017-09-14_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2017-10-14 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-14_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-12-17 11:53:57	ga_ls7e_ard_3-0-0_115076_2017-12-17_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2017-12-17 11:54:45	ga_ls7e_ard_3-0-0_115078_2017-12-17_final
2018-01-02 11:53:45	ga_ls7e_ard_3-0-0_115076_2018-01-02_final
2018-01-02 11:54:09	ga_ls7e_ard_3-1-0_115077_2018-01-02_final
2018-01-02 11:54:33	ga_ls7e_ard_3-0-0_115078_2018-01-02_final
2018-01-02 11:54:57	ga_ls7e_ard_3-0-0_115079_2018-01-02_final
2018-01-04 11:44:34	ga_ls7e_ard_3-0-0_113084_2018-01-04_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-01-18 11:54:19	ga_ls7e_ard_3-0-0_115078_2018-01-18_final
2018-01-18 11:54:43	ga_ls7e_ard_3-0-0_115079_2018-01-18_final
2018-01-20 11:44:20	ga_ls7e_ard_3-0-0_113084_2018-01-20_final
2018-02-12 11:48:58	ga_ls7e_ard_3-0-0_114081_2018-02-12_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2018-03-07 11:53:42	ga_ls7e_ard_3-0-0_115078_2018-03-07_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-04-24 11:52:35	ga_ls7e_ard_3-0-0_115077_2018-04-24_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-05-10 11:52:18	ga_ls7e_ard_3-1-0_115077_2018-05-10_final
2018-05-10 11:52:42	ga_ls7e_ard_3-0-0_115078_2018-05-10_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2018-05-19 11:47:35	ga_ls7e_ard_3-0-0_114081_2018-05-19_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2018-06-11 11:52:35	ga_ls7e_ard_3-0-0_115079_2018-06-11_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-06-27 11:51:53	ga_ls7e_ard_3-0-0_115078_2018-06-27_final
2018-06-27 11:52:17	ga_ls7e_ard_3-0-0_115079_2018-06-27_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2018-07-13 11:51:10	ga_ls7e_ard_3-0-0_115077_2018-07-13_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-07-29 11:50:53	ga_ls7e_ard_3-0-0_115077_2018-07-29_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_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